1
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Cardoso P, Young KG, Nair ATN, Hopkins R, McGovern AP, Haider E, Karunaratne P, Donnelly L, Mateen BA, Sattar N, Holman RR, Bowden J, Hattersley AT, Pearson ER, Jones AG, Shields BM, McKinley TJ, Dennis JM. Phenotype-based targeted treatment of SGLT2 inhibitors and GLP-1 receptor agonists in type 2 diabetes. Diabetologia 2024; 67:822-836. [PMID: 38388753 PMCID: PMC10955037 DOI: 10.1007/s00125-024-06099-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/04/2024] [Indexed: 02/24/2024]
Abstract
AIMS/HYPOTHESIS A precision medicine approach in type 2 diabetes could enhance targeting specific glucose-lowering therapies to individual patients most likely to benefit. We aimed to use the recently developed Bayesian causal forest (BCF) method to develop and validate an individualised treatment selection algorithm for two major type 2 diabetes drug classes, sodium-glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP1-RA). METHODS We designed a predictive algorithm using BCF to estimate individual-level conditional average treatment effects for 12-month glycaemic outcome (HbA1c) between SGLT2i and GLP1-RA, based on routine clinical features of 46,394 people with type 2 diabetes in primary care in England (Clinical Practice Research Datalink; 27,319 for model development, 19,075 for hold-out validation), with additional external validation in 2252 people with type 2 diabetes from Scotland (SCI-Diabetes [Tayside & Fife]). Differences in glycaemic outcome with GLP1-RA by sex seen in clinical data were replicated in clinical trial data (HARMONY programme: liraglutide [n=389] and albiglutide [n=1682]). As secondary outcomes, we evaluated the impacts of targeting therapy based on glycaemic response on weight change, tolerability and longer-term risk of new-onset microvascular complications, macrovascular complications and adverse kidney events. RESULTS Model development identified marked heterogeneity in glycaemic response, with 4787 (17.5%) of the development cohort having a predicted HbA1c benefit >3 mmol/mol (>0.3%) with SGLT2i over GLP1-RA and 5551 (20.3%) having a predicted HbA1c benefit >3 mmol/mol with GLP1-RA over SGLT2i. Calibration was good in hold-back validation, and external validation in an independent Scottish dataset identified clear differences in glycaemic outcomes between those predicted to benefit from each therapy. Sex, with women markedly more responsive to GLP1-RA, was identified as a major treatment effect modifier in both the UK observational datasets and in clinical trial data: HARMONY-7 liraglutide (GLP1-RA): 4.4 mmol/mol (95% credible interval [95% CrI] 2.2, 6.3) (0.4% [95% CrI 0.2, 0.6]) greater response in women than men. Targeting the two therapies based on predicted glycaemic response was also associated with improvements in short-term tolerability and long-term risk of new-onset microvascular complications. CONCLUSIONS/INTERPRETATION Precision medicine approaches can facilitate effective individualised treatment choice between SGLT2i and GLP1-RA therapies, and the use of routinely collected clinical features for treatment selection could support low-cost deployment in many countries.
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Affiliation(s)
- Pedro Cardoso
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Katie G Young
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Anand T N Nair
- Division of Molecular & Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Rhian Hopkins
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Andrew P McGovern
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Eram Haider
- Division of Molecular & Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Piyumanga Karunaratne
- Division of Molecular & Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Louise Donnelly
- Division of Molecular & Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Bilal A Mateen
- Institute of Health Informatics, University College London, London, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Rury R Holman
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Jack Bowden
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Andrew T Hattersley
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Ewan R Pearson
- Division of Molecular & Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Angus G Jones
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Beverley M Shields
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Trevelyan J McKinley
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - John M Dennis
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK.
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Januzzi JL, Liu Y, Sattar N, Yavin Y, Pollock CA, Butler J, Jardine M, Heerspink HJL, Masson S, Breyer M, Hansen MK. Vascular endothelial growth factors and risk of cardio-renal events: Results from the CREDENCE trial. Am Heart J 2024; 271:38-47. [PMID: 38401646 DOI: 10.1016/j.ahj.2024.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 01/30/2024] [Accepted: 02/19/2024] [Indexed: 02/26/2024]
Abstract
BACKGROUND Circulating concentrations of vascular endothelial growth factor (VEGF) family members may be abnormally elevated in type 2 diabetes (T2D). The roles of placental growth factor (PlGF), soluble fms-like tyrosine kinase-1 (sFLT-1), and VEGF-A in cardio-renal complications of T2D are not established. METHOD The 2602 individuals with diabetic kidney disease (DKD) from the Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation trial were randomized to receive canagliflozin or placebo and followed for incident cardio-renal outcomes. PlGF, sFLT-1, and VEGF-A were measured at baseline, year 1, and year 3. Primary outcome was a composite of end-stage kidney disease, doubling of the serum creatinine, or renal/cardiovascular death. Cox proportional hazard regression was used to investigate the association between biomarkers with adverse clinical events. RESULTS At baseline, individuals with higher PlGF levels had more prevalent cardiovascular disease compared to those with lower values. Treatment with canagliflozin did not meaningfully change PlGF, sFLT-1, and VEGF-A concentrations at years 1 and 3. In a multivariable model, 1 unit increases in baseline log PlGF (hazard ratio [HR]: 1.76, 95% confidence interval [CI]: 1.23, 2.54, P-value = .002), sFLT-1 (HR: 3.34, [95% CI: 1.71, 6.52], P-value < .001), and PlGF/sFLT-1 ratio (HR: 4.83, [95% CI: 0.86, 27.01], P-value = .07) were associated with primary composite outcome, while 1 unit increase in log VEGF-A did not increase the risk of primary outcome (HR: 0.96 [95% CI: 0.81, 1.07]). Change by 1 year of each biomarker was also assessed: HR (95% CI) of primary composite outcome was 2.45 (1.70, 3.54) for 1 unit increase in 1-year concentration of log PlGF, 4.19 (2.18, 8.03) for 1 unit increase in 1-year concentration of log sFLT-1, and 21.08 (3.79, 117.4) for 1 unit increase in 1-year concentration of log PlGF/sFLT-1. Increase in 1-year concentrations of log VEGF-A was not associated with primary composite outcome (HR: 1.08, [95% CI: 0.93, 1.24], P-value = .30). CONCLUSIONS People with T2D and DKD with elevated levels of PlGF, sFLT-1, and PlGF/sFLT-1 ratio were at a higher risk for cardiorenal events. Canagliflozin did not meaningfully decrease concentrations of PlGF, sFLT-1, and VEGF-A. CLINICAL TRIAL CREDENCE, https://clinicaltrials.gov/ct2/show/NCT02065791.
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Affiliation(s)
- James L Januzzi
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA; Heart Failure and Biomarker Trials, Baim Institute for Clinical Research, Boston, MA.
| | - Yuxi Liu
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Yshai Yavin
- Janssen Research & Development, LLC, Spring House, PA
| | - Carol A Pollock
- Kolling Institute, Royal North Shore Hospital University of Sydney, Sydney, NSW, Australia
| | - Javed Butler
- University of Mississippi Medical Center, Jackson, MS; Baylor Scott & White Institute, Dallas, TX
| | - Meg Jardine
- The George Institute for Global Health, UNSW Sydney, Sydney, NSW
| | - Hiddo J L Heerspink
- Department Clinical Pharmacy and Pharmacology, University of Groningen, Groningen, The Netherlands
| | - Serge Masson
- Roche Diagnostics International, Rotkreuz, Switzerland
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Harrington J, Sattar N, Felker GM, Januzzi JL, Lam CSP, Pagidipati NJ, Pandey A, Van Spall HGC, McGuire DK. Putting More Weight on Obesity Trials in Heart Failure. Curr Heart Fail Rep 2024:10.1007/s11897-024-00655-z. [PMID: 38619690 DOI: 10.1007/s11897-024-00655-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/04/2024] [Indexed: 04/16/2024]
Abstract
PURPOSE OF REVIEW To review ongoing and planned clinical trials of weight loss among individuals with or at high risk of heart failure. RECENT FINDINGS Intentional weight loss via semaglutide among persons with heart failure and preserved ejection fraction and obesity significantly improves weight loss and health status as assessed by the KCCQ-CSS score and is associated with improvements in 6-min walk test. Ongoing and planned trials will explore the role of intentional weight loss with treatments such as semaglutide or tirzepatide for individuals with heart failure across the entire ejection fraction spectrum.
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Affiliation(s)
- Josephine Harrington
- Division of Cardiology, Department of Internal Medicine, Duke University Medical Center, Durham, NC, USA.
- Duke Clinical Research Institute, 300 W. Morris St, Durham, NC, 27701, USA.
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - G Michael Felker
- Division of Cardiology, Department of Internal Medicine, Duke University Medical Center, Durham, NC, USA
- Duke Clinical Research Institute, 300 W. Morris St, Durham, NC, 27701, USA
| | - James L Januzzi
- Baim Institute for Clinical Research, Boston, MA, USA
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Carolyn S P Lam
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- National Heart Centre Singapore and Duke-National University of Singapore, Bukit Merah, Singapore
| | - Neha J Pagidipati
- Division of Cardiology, Department of Internal Medicine, Duke University Medical Center, Durham, NC, USA
- Duke Clinical Research Institute, 300 W. Morris St, Durham, NC, 27701, USA
| | - Ambarish Pandey
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Harriette G C Van Spall
- Baim Institute for Clinical Research, Boston, MA, USA
- Research Institute of St. Joe's, Hamilton, Canada
- McMaster University, Hamilton, Canada
| | - Darren K McGuire
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Parkland Health and Hospital System, Dallas, TX, USA
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4
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Khan MS, Januzzi JL, Liu Y, Xu J, Shaw W, Sattar N, Mahaffey KW, Neal B, Hansen MK, Butler J. Natriuretic Peptides and Prognosis in Patients with Type 2 Diabetes Mellitus and High Risk for Cardiovascular Events. J Card Fail 2024:S1071-9164(24)00119-2. [PMID: 38614444 DOI: 10.1016/j.cardfail.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 02/16/2024] [Accepted: 03/13/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Prognosis of individuals with and without an established heart failure (HF) diagnosis and similarly elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels is not well known. METHODS CANVAS (Canagliflozin Cardiovascular Assessment Study) trial participants were stratified according to baseline NT-proBNP quartiles and history of HF at baseline. Adjusted event rates per 1000 patient-years follow-up for hospitalizations for HF (HHF), cardiovascular mortality, and kidney events were assessed, and hazard ratios (HR) were calculated using Cox proportional hazard models. RESULTS Of the 3507 participants with available NT-proBNP concentrations, 471 (13.4%) had history of HF. Incidence rate per 1000 patient-years for HHF increased across the NT-proBNP quartiles in patients with (0, 2.8, 13.4 and 40.1; P<0.001) and without (1.8, 3.1, 6.0 and 19.1; P<0.001) HF, with significantly higher risk in patients with HF compared to those without (with HF: quartile 3 HR 9.28 [1.15, 75.05]; P=0.04; without HF: quartile-4 HR 4.86, [2.08, 11.35]; P<0.001). Similar higher risk for kidney events was seen in HF patients (with HF: quartile-4 HR 6.94, [2.66, 18.08]; P=0.001; without HF: quartile-4th HR 4.85 [3.02, 7.80]; P=0.001). Similar trends were seen for cardiovascular mortality. CONCLUSIONS Among patients with type 2 diabetes and cardiovascular risk, an elevated NT-proBNP level was associated with worse HF and kidney outcomes in general regardless of history of HF, however presence of a clinical diagnosis of HF at baseline was associated with incrementally higher risk particularly in higher NT-proBNP quartiles.
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Affiliation(s)
| | - James L Januzzi
- Massachusetts General Hospital and Baim Institute for Clinical Research, Boston, Massachusetts
| | - Yuxi Liu
- Massachusetts General Hospital and Baim Institute for Clinical Research, Boston, Massachusetts
| | - Jialin Xu
- Janssen Research & Development, LLC, Spring House, Pennsylvania
| | - Wayne Shaw
- Janssen Research & Development, LLC, Raritan, New Jersey
| | - Naveed Sattar
- Glasgow Cardiovascular Research, Glasgow, United Kingdom
| | - Kenneth W Mahaffey
- Stanford Center for Clinical Research, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Bruce Neal
- The George Institute for Global Health, UNSW Sydney, Sydney, Australia; Charles Perkins Centre, University of Sydney, Sydney, Australia; Imperial College London, London, United Kingdom
| | | | - Javed Butler
- Baylor Scott and White Research Institute, Dallas, Texas; University of Mississippi, Jackson, Mississippi.
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5
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Ferreira JP, Packer M, Sattar N, Butler J, González Maldonado S, Panova-Noeva M, Sumin M, Masson S, Pocock SJ, Anker SD, Zannad F, Januzzi JL. Insulin-like growth factor binding protein-7 concentrations in chronic heart failure: Results from the EMPEROR programme. Eur J Heart Fail 2024. [PMID: 38587259 DOI: 10.1002/ejhf.3227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 03/12/2024] [Accepted: 03/26/2024] [Indexed: 04/09/2024] Open
Abstract
AIMS Insulin-like growth factor binding protein-7 (IGFBP7) is a biomarker of tissue senescence with a role in cardio-renal pathophysiology. The role of IGFBP7 as a prognostic biomarker across the full ejection fraction (EF) spectrum of heart failure (HF) remains less well understood. We examined associations between IGFBP7 and risk of cardio-renal outcomes regardless of EF and the effect of empagliflozin treatment on IGFBP7 concentrations among individuals with HF. METHODS AND RESULTS IGFBP7 was measured in 1125 study participants from the EMPEROR-Reduced and EMPEROR-Preserved trials. Cox regression was used to study associations with outcomes. Study participants with IGFBP7 levels in the highest tertile had a higher-risk clinical profile. In Cox proportional hazards models adjusted for clinical variables, N-terminal pro-B-type natriuretic peptide and high-sensitivity cardiac troponin T, baseline IGFBP7 values in the highest tertile predicted an increased risk of HF hospitalization or cardiovascular death (hazard ratio [HR] 2.00, 95% confidence interval [CI] 1.28-3.10, p = 0.002, p for trend <0.001) and higher risk of the renal composite endpoint (HR 4.66, 95% CI 1.61-13.53, p = 0.005, p for trend = 0.001), regardless of EF. Empagliflozin reduced risk for cardiovascular death/HF hospitalization irrespective of baseline IGFBP7 (p for trend across IGFBP7 tertiles = 0.26). Empagliflozin treatment was not associated with meaningful change in IGFBP7 at 12 or 52 weeks. CONCLUSION Across the entire left ventricular EF spectrum in the EMPEROR Programme, concentrations of the senescence-associated biomarker IGFBP7 were associated with higher risk clinical status and predicted adverse cardio-renal outcomes even in models adjusted for conventional biomarkers. Empagliflozin did not significantly affect IGFBP7 levels over time.
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Affiliation(s)
- João Pedro Ferreira
- Centre d'Investigations Cliniques Plurithématique 1433, INSERM, Université de Lorraine, Nancy, France; F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), INSERM U1116, Centre Hospitalier Régional Universitaire de Nancy, Nancy, France
- UnIC@RISE, Cardiovascular Research and Development Center, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Milton Packer
- Imperial College London, London, UK; Baylor Heart and Vascular Institute, Baylor University Medical Center, Dallas, TX, USA
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Javed Butler
- Baylor Scott and White Research Institute, Dallas, TX, USA
- Dallas, TX, USA; University of Mississippi Medical Center, Jackson, MS, USA
| | | | | | - Mikhail Sumin
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - Serge Masson
- Roche Diagnostics International Ltd, Rotkreuz, Switzerland
| | | | - Stefan D Anker
- Department of Cardiology (CVK) of German Heart Center Charité; Institute of Health Center for Regenerative Therapies (BCRT), German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité Universitätsmedizin, Berlin, Germany
| | - Faiez Zannad
- Université de Lorraine, Centre d'Investigations Cliniques Plurithématique 1433, INSERM, CHRU, Nancy, France
| | - James L Januzzi
- Massachusetts General Hospital and Baim Institute for Clinical Research, Boston, MA, USA
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6
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Karjalainen MK, Karthikeyan S, Oliver-Williams C, Sliz E, Allara E, Fung WT, Surendran P, Zhang W, Jousilahti P, Kristiansson K, Salomaa V, Goodwin M, Hughes DA, Boehnke M, Fernandes Silva L, Yin X, Mahajan A, Neville MJ, van Zuydam NR, de Mutsert R, Li-Gao R, Mook-Kanamori DO, Demirkan A, Liu J, Noordam R, Trompet S, Chen Z, Kartsonaki C, Li L, Lin K, Hagenbeek FA, Hottenga JJ, Pool R, Ikram MA, van Meurs J, Haller T, Milaneschi Y, Kähönen M, Mishra PP, Joshi PK, Macdonald-Dunlop E, Mangino M, Zierer J, Acar IE, Hoyng CB, Lechanteur YTE, Franke L, Kurilshikov A, Zhernakova A, Beekman M, van den Akker EB, Kolcic I, Polasek O, Rudan I, Gieger C, Waldenberger M, Asselbergs FW, Hayward C, Fu J, den Hollander AI, Menni C, Spector TD, Wilson JF, Lehtimäki T, Raitakari OT, Penninx BWJH, Esko T, Walters RG, Jukema JW, Sattar N, Ghanbari M, Willems van Dijk K, Karpe F, McCarthy MI, Laakso M, Järvelin MR, Timpson NJ, Perola M, Kooner JS, Chambers JC, van Duijn C, Slagboom PE, Boomsma DI, Danesh J, Ala-Korpela M, Butterworth AS, Kettunen J. Genome-wide characterization of circulating metabolic biomarkers. Nature 2024; 628:130-138. [PMID: 38448586 PMCID: PMC10990933 DOI: 10.1038/s41586-024-07148-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 02/01/2024] [Indexed: 03/08/2024]
Abstract
Genome-wide association analyses using high-throughput metabolomics platforms have led to novel insights into the biology of human metabolism1-7. This detailed knowledge of the genetic determinants of systemic metabolism has been pivotal for uncovering how genetic pathways influence biological mechanisms and complex diseases8-11. Here we present a genome-wide association study for 233 circulating metabolic traits quantified by nuclear magnetic resonance spectroscopy in up to 136,016 participants from 33 cohorts. We identify more than 400 independent loci and assign probable causal genes at two-thirds of these using manual curation of plausible biological candidates. We highlight the importance of sample and participant characteristics that can have significant effects on genetic associations. We use detailed metabolic profiling of lipoprotein- and lipid-associated variants to better characterize how known lipid loci and novel loci affect lipoprotein metabolism at a granular level. We demonstrate the translational utility of comprehensively phenotyped molecular data, characterizing the metabolic associations of intrahepatic cholestasis of pregnancy. Finally, we observe substantial genetic pleiotropy for multiple metabolic pathways and illustrate the importance of careful instrument selection in Mendelian randomization analysis, revealing a putative causal relationship between acetone and hypertension. Our publicly available results provide a foundational resource for the community to examine the role of metabolism across diverse diseases.
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Affiliation(s)
- Minna K Karjalainen
- Systems Epidemiology, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
- Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland.
| | - Savita Karthikeyan
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Clare Oliver-Williams
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Public Health Specialty Training Programme, Cambridge, UK
| | - Eeva Sliz
- Systems Epidemiology, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Elias Allara
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Wing Tung Fung
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Praveen Surendran
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Rutherford Fund Fellow, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, London, UK
| | - Pekka Jousilahti
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Kati Kristiansson
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Matt Goodwin
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - David A Hughes
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Lilian Fernandes Silva
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Xianyong Yin
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Jiangsu, China
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Matt J Neville
- NIHR Oxford Biomedical Research Centre, OUHFT Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Natalie R van Zuydam
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Ayse Demirkan
- Surrey Institute for People-Centred AI, University of Surrey, Guildford, UK
- Section of Statistical Multi-Omics, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Jun Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Christiana Kartsonaki
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, China
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Fiona A Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Jouke Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - René Pool
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Toomas Haller
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mika Kähönen
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Pashupati P Mishra
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Peter K Joshi
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Erin Macdonald-Dunlop
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, UK
| | - Jonas Zierer
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Ilhan E Acar
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
- Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Carel B Hoyng
- Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Yara T E Lechanteur
- Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Alexander Kurilshikov
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Marian Beekman
- Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik B van den Akker
- Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Center for Computational Biology, Leiden University Medical Center, Leiden, The Netherlands
- The Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Ivana Kolcic
- Department of Public Health, School of Medicine, University of Split, Split, Croatia
| | - Ozren Polasek
- Department of Public Health, School of Medicine, University of Split, Split, Croatia
| | - Igor Rudan
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Folkert W Asselbergs
- Amsterdam University Medical Centers, Department of Cardiology, University of Amsterdam, Amsterdam, The Netherlands
- Health Data Research UK and Institute of Health Informatics, University College London, London, UK
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Jingyuan Fu
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Anneke I den Hollander
- Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands
- Genomics Research Center, Abbvie, Cambridge, MA, USA
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - James F Wilson
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Terho Lehtimäki
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- InFLAMES Research Flagship, University of Turku, Turku, Finland
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Tonu Esko
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, Division Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Fredrik Karpe
- NIHR Oxford Biomedical Research Centre, OUHFT Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Kuopio University Hospital, Kuopio, Finland
| | - Marjo-Riitta Järvelin
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Markus Perola
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Diabetes and Obesity Research Program, University of Helsinki, Helsinki, Finland
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - John C Chambers
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Cornelia van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - P Eline Slagboom
- Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development (AR&D) Research Institute, Amsterdam, The Netherlands
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Mika Ala-Korpela
- Systems Epidemiology, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - Johannes Kettunen
- Systems Epidemiology, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
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Lean ME, Leslie WS, Barnes AC, Brosnahan N, Thom G, McCombie L, Kelly T, Irvine K, Peters C, Zhyzhneuskaya S, Hollingsworth KG, Adamson AJ, Sniehotta FF, Mathers JC, McIlvenna Y, Welsh P, McConnachie A, McIntosh A, Sattar N, Taylor R. 5-year follow-up of the randomised Diabetes Remission Clinical Trial (DiRECT) of continued support for weight loss maintenance in the UK: an extension study. Lancet Diabetes Endocrinol 2024; 12:233-246. [PMID: 38423026 DOI: 10.1016/s2213-8587(23)00385-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 12/11/2023] [Accepted: 12/20/2023] [Indexed: 03/02/2024]
Abstract
BACKGROUND In DiRECT, a randomised controlled effectiveness trial, weight management intervention after 2 years resulted in mean weight loss of 7·6 kg, with 36% of participants in remission of type 2 diabetes. Of 36 in the intervention group who maintained over 10 kg weight loss at 2 years, 29 (81%) were in remission. Continued low-intensity dietary support was then offered up to 5 years from baseline to intervention participants, aiming to maintain weight loss and gain clinical benefits. This extension study was designed to provide observed outcomes at 5 years. METHODS The DiRECT trial took place in primary care practices in the UK. Participants were individuals aged 20-65 years who had less than 6 years' duration of type 2 diabetes, a BMI greater than 27 kg/m2, and were not on insulin. The intervention consisted of withdrawal of antidiabetic and antihypertensive drugs, total diet replacement (825-853 kcal per day formula diet for 12-20 weeks), stepped food reintroduction (2-8 weeks), and then structured support for weight-loss maintenance. After sharing the 2-year results with all participants, UK National Health Service data were collected annually until year 5 from remaining intervention participants who received low-intensity dietary support, intervention withdrawals, and the original randomly allocated groups. The primary outcome was remission of type 2 diabetes; having established in the DiRECT trial that sustained weight loss was the dominant driver of remission, this was assumed for the Extension study. The trial is registered with the ISRCTN registry, number 03267836. FINDINGS Between July 25, 2014, and Aug 5, 2016, 149 participants were randomly assigned to the intervention group and 149 were assigned to the control group in the original DiRECT study. After 2 years, all intervention participants still in the trial (101 [68%] of 149) were approached to receive low-intensity support for a further 3 years. 95 (94%) of 101 were able to continue and consented and were allocated to the DiRECT extension group. 54 participants were allocated to the non-extension group, where intervention was withdrawn. At 5 years, DiRECT extension participants (n=85) lost an average of 6·1 kg, with 11 (13%) of 85 in remission. Compared with the non-extension group, DiRECT extension participants had more visits with HbA1c <48 mmol/mol (<6·5%; 36% vs 17%, p=0·0004), without glucose-lowering medication (62% vs 30%, p<0·0001), and in remission (34% vs 12%, p<0·0001). Original control participants (n=149) had mean weight loss 4·6 kg (n=82), and 5 (5%) of 93 were in remission. Compared with control participants, original intervention participants had more visits with weight more than 5% below baseline (61% vs 29%, p<0·0001), HbA1c below 48 mmol/mol (29% vs 15%, p=0·0002), without antidiabetic medication (51% vs 16%, p<0·0001), and in remission (27% vs 4%, p<0·0001). Of those in remission at year 2, 26% remained in remission at 5 years. Serious adverse events in the original intervention group (4·8 events per 100 patient-years) were under half those in the control group (10·2 per 100 patient-years, p=0·0080). INTERPRETATION The extended DiRECT intervention was associated with greater aggregated and absolute weight loss, and suggested improved health status over 5 years. FUNDING Diabetes UK.
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Affiliation(s)
- Michael Ej Lean
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
| | - Wilma S Leslie
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Alison C Barnes
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK; Human Nutrition Research and Exercise Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Naomi Brosnahan
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK; Counterweight, London, UK
| | - George Thom
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Louise McCombie
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Tara Kelly
- Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Keaton Irvine
- Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Carl Peters
- Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Sviatlana Zhyzhneuskaya
- Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Kieren G Hollingsworth
- Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Ashley J Adamson
- Human Nutrition Research and Exercise Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Falko F Sniehotta
- Centre for Preventive Medicine and Digital Health (CPD), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - John C Mathers
- Human Nutrition Research and Exercise Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Yvonne McIlvenna
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Paul Welsh
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Alex McConnachie
- Robertson Centre for Biostatistics, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Alasdair McIntosh
- Robertson Centre for Biostatistics, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Roy Taylor
- Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
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Farhat G, Mellor DD, Sattar N, Harvie M, Issa B, Rutter MK. Effectiveness of lifestyle interventions/culturally bespoke programmes in South Asian ethnic groups targeting weight loss for prevention and/or remission of type 2 diabetes: a systematic review and meta-analysis of intervention trials. J Hum Nutr Diet 2024; 37:550-563. [PMID: 38234263 DOI: 10.1111/jhn.13279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/14/2023] [Accepted: 12/21/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND People from South Asian heritage are at high risk of type 2 diabetes, but there are limited specific strategies to prevent and manage this condition. The aim was to assess the effectiveness of culturally bespoke lifestyle programmes in South Asians that target weight loss for the prevention or remission of type 2 diabetes mellitus (T2DM). METHODS We performed a systematic review and meta-analysis of intervention trials. PubMed, Scopus, MEDLINE (EBSCOhost), CINAHL, PsycINFO and CENTRAL were searched. Human intervention trials (randomised controlled trials and quasi-experimental) investigating the effect of lifestyle interventions on the prevention and remission of T2DM in South Asians were included. Studies including participants at risk of T2DM (prevention trials) and having the disease (remission trials) with duration ≥12 weeks were eligible. For prevention trials, the primary outcome was change in weight (kg) from baseline; for remission trials, it was decrease in HbA1c to non-diabetic levels (HbA1c ≤ 6.5%) without diabetes medications. Prevention trials were separated into (i) lifestyle modification advice and (ii) lifestyle modification advice including a supervised physical activity programme. RESULTS Twenty-four trials were eligible (21 prevention trials and 3 remission trials). In T2DM prevention trials involving only lifestyle modification advice, the mean postintervention difference in weight between intervention and control groups was -0.65 kg (95% confidence interval [CI]: -1.04, -0.26; p = 0.01). Lifestyle modification advice including a physical activity programme was associated with greater decreases in weight: -1.13 kg (95% CI: -2.04, -0.21; p = 0.02). Fasting blood glucose levels were slightly lower in intervention groups for both intervention subtypes, although there was no significant change in HbA1c levels or 2-h plasma glucose levels. Diabetes remission trials showed potential acceptability but were limited in number and involved a small sample size, and some did not include a control group. CONCLUSIONS In South Asians, lifestyle interventions for prevention of T2DM offer only modest impacts on weight and glucose control and will unlikely reduce diabetes incidence. Alternative lifestyle interventions co-designed with members of the communities and aimed at both prevention and remission of T2DM must be urgently considered. Systematic review registration number: PROSPERO CRD42022385174 https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=385174.
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Affiliation(s)
- Grace Farhat
- Faculty of Health and Education, Manchester Metropolitan University, Manchester, UK
| | - Duane D Mellor
- Aston Medical School, Aston University, Birmingham, UK
- Centre for Health and Society, Aston University, Birmingham, UK
| | - Naveed Sattar
- BHF Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Michelle Harvie
- Prevent Breast Cancer Research Unit, Manchester University Hospital Foundation NHS Trust, Manchester, UK
- UK Division of Cancer Sciences, University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, NIHR, Manchester, UK
| | - Basil Issa
- Manchester University NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK
| | - Martin K Rutter
- Division of Endocrinology, Diabetes and Gastroenterology, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, UK
- Diabetes, Endocrinology and Metabolism Centre, Manchester, UK
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9
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Mohebi R, Liu Y, Hansen MK, Yavin Y, Sattar N, Pollock CA, Butler J, Jardine M, Masson S, Heerspink HJ, Januzzi JL. Associations of Angiopoietin 2 and Vascular Endothelial Growth Factor-A Concentrations with Clinical End Points. Clin J Am Soc Nephrol 2024; 19:429-437. [PMID: 38099944 PMCID: PMC11020427 DOI: 10.2215/cjn.0000000000000389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 12/11/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND Angiopoietin 2 regulates endothelial function partially mediated by vascular endothelial growth factor-A (VEGF-A) and may play a role in diabetic kidney disease (DKD). We assessed the association of angiopoietin 2 and VEGF-A with cardiorenal outcomes and investigated the effect of canagliflozin on angiopoietin 2 and VEGF-A concentrations. METHODS Two thousand five hundred sixty-five study participants with DKD and available plasma samples treated with canagliflozin or placebo in the Canagliflozin and Kidney Events in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE) trial were included. Angiopoietin 2 and VEGF-A concentrations were measured at baseline, year 1, and year 3. The primary composite end point of the trial was a composite of kidney failure, doubling of the serum creatinine level, and kidney or cardiovascular death. RESULTS Patients with the highest baseline quartile of angiopoietin 2, but not VEGF-A, concentration had the highest risk clinical profile. Treatment with canagliflozin significantly lowered concentrations of angiopoietin 2 (adjusted geometric mean ratio: 0.94; 95% confidence interval, 0.92 to 0.95; P < 0.001), but not VEGF-A. In multivariable-adjusted modeling, each 50% increment in log baseline angiopoietin 2 concentrations was associated with a higher risk of primary composite outcome (hazard ratio, 1.27; 95% confidence interval, 1.13 to 1.43). Angiopoietin 2 change at year 1 compared with baseline explained 10% of the effect of canagliflozin on the primary composite outcome. VEGF-A concentrations were not associated with outcomes, alone or in combination with angiopoietin 2. CONCLUSIONS Higher angiopoietin 2 levels were associated with cardiorenal risk among individuals with DKD independent of VEGF-A. Canagliflozin lowered angiopoietin 2 concentrations. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER Evaluation of the Effects of Canagliflozin on Renal and Cardiovascular Outcomes in Participants With Diabetic Nephropathy, NCT02065791 .
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Affiliation(s)
- Reza Mohebi
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Yuxi Liu
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | | | - Yshai Yavin
- Janssen Research & Development, LLC, Spring House, Pennsylvania
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Carol A. Pollock
- Kolling Institute, Royal North Shore Hospital University of Sydney, Sydney, New South Wales, Australia
| | - Javed Butler
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
- Baylor Scott & White Institute, Dallas, Texas
| | - Meg Jardine
- The George Institute for Global Health, UNSW Sydney, Sydney, New South Wales, Australia
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
- Concord Repatriation General Hospital, Sydney, New South Wales, Australia
| | - Serge Masson
- Roche Diagnostics International, Rotkreuz, Switzerland
| | - Hiddo J.L. Heerspink
- Department Clinical Pharmacy and Pharmacology, University of Groningen, Groningen, The Netherlands
| | - James L. Januzzi
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Heart Failure and Biomarker Trials, Baim Institute for Clinical Research, Boston, Massachusetts
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Berthon W, McGurnaghan SJ, Blackbourn LAK, Mellor J, Gibb FW, Heller S, Kennon B, McCrimmon RJ, Philip S, Sattar N, McKeigue PM, Colhoun HM. Ongoing burden and recent trends in severe hospitalised hypoglycaemia events in people with type 1 and type 2 diabetes in Scotland: A nationwide cohort study 2016-2022. Diabetes Res Clin Pract 2024; 210:111642. [PMID: 38548109 DOI: 10.1016/j.diabres.2024.111642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/10/2024] [Accepted: 03/25/2024] [Indexed: 04/07/2024]
Abstract
AIMS We examined severe hospitalised hypoglycaemia (SHH) rates in people with type 1 and type 2 diabetes in Scotland during 2016-2022, stratifying by sociodemographics. METHODS Using the Scottish National diabetes register (SCI-Diabetes), we identified people with type 1 and type 2 diabetes alive anytime during 2016-2022. SHH events were determined through linkage to hospital admission and death registry data. We calculated annual SHH rates overall and by age, sex, and socioeconomic status. Summary estimates of time and stratum effects were obtained by fitting adjusted generalised additive models using R package mgcv. RESULTS Rates for those under 20 with type 1 diabetes reached their minimum at the 2020-2021 transition, 30% below the study period average. A gradual decline over time also occurred among 20-49-year-olds with type 1 diabetes. Overall, females had 15% higher rates than males with type 2 diabetes (rate ratio 1.15, 95% CI 1.08-1.22). People in the most versus least deprived quintile experienced 2.58 times higher rates (95% CI 2.27-2.93) in type 1 diabetes and 2.33 times higher (95% CI 2.08-2.62) in type 2 diabetes. CONCLUSIONS Despite advances in care, SHH remains a significant problem in diabetes. Future efforts must address the large socioeconomic disparities in SHH risks.
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Affiliation(s)
- William Berthon
- Usher Institute, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK.
| | - Stuart J McGurnaghan
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK
| | - Luke A K Blackbourn
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK
| | - Joseph Mellor
- Usher Institute, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK
| | - Fraser W Gibb
- Edinburgh Centre for Endocrinology & Diabetes, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Simon Heller
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Brian Kennon
- Queen Elizabeth University Hospital, Glasgow, UK
| | - Rory J McCrimmon
- Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK
| | - Sam Philip
- JJR Macleod Centre for Diabetes & Endocrinology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Paul M McKeigue
- Usher Institute, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK
| | - Helen M Colhoun
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK; Public Health Scotland, Glasgow, UK
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11
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Sattar N, Presslie C, Rutter MK, McGuire DK. Cardiovascular and Kidney Risks in Individuals With Type 2 Diabetes: Contemporary Understanding With Greater Emphasis on Excess Adiposity. Diabetes Care 2024; 47:531-543. [PMID: 38412040 DOI: 10.2337/dci23-0041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 11/21/2023] [Indexed: 02/29/2024]
Abstract
In high-income countries, rates of atherosclerotic complications in type 2 diabetes have declined markedly over time due to better management of traditional risk factors including lipids, blood pressure, and glycemia levels. Population-wide reductions in smoking have also helped lower atherosclerotic complications and so reduce premature mortality in type 2 diabetes. However, as excess adiposity is a stronger driver for heart failure (HF), and obesity levels have remained largely unchanged, HF risks have not declined as much and may even be rising in the increasing number of people developing type 2 diabetes at younger ages. Excess weight is also an underrecognized risk factor for chronic kidney disease (CKD). Based on evidence from a range of sources, we explain how excess adiposity must be influencing most risks well before diabetes develops, particularly in younger-onset diabetes, which is linked to greater excess adiposity. We also review potential mechanisms linking excess adiposity to HF and CKD and speculate on how some of the responsible pathways-e.g., hemodynamic, cellular overnutrition, and inflammatory-could be favorably influenced by intentional weight loss (via lifestyle or drugs). On the basis of available evidence, we suggest that the cardiorenal outcome benefits seen with sodium-glucose cotransporter 2 inhibitors may partially derive from their interference of some of these same pathways. We also note that many other complications common in diabetes (e.g., hepatic, joint disease, perhaps mental health) are also variably linked to excess adiposity, the aggregated exposure to which has now increased in type 2 diabetes. All such observations suggest a greater need to tackle excess adiposity earlier in type 2 diabetes.
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Affiliation(s)
- Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland, U.K
| | - Calum Presslie
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland, U.K
| | - Martin K Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, U.K
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, U.K
| | - Darren K McGuire
- Division of Cardiology, University of Texas Southwestern Medical Center and Parkland Health, Dallas, TX
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Sattar N, Butler J, Lee MMY, Harrington J, Sharma A, Zannad F, Filippatos G, Verma S, Januzzi JL, Ferreira JP, Pocock SJ, Pfarr E, Ofstad AP, Brueckmann M, Packer M, Anker SD. Body mass index and cardiorenal outcomes in the EMPEROR-Preserved trial: Principal findings and meta-analysis with the DELIVER trial. Eur J Heart Fail 2024. [PMID: 38558521 DOI: 10.1002/ejhf.3221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 04/04/2024] Open
Abstract
AIMS Both low and high body mass index (BMI) are associated with poor heart failure outcomes. Whether BMI modifies benefits of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in heart failure with preserved ejection fraction (HFpEF) requires further investigation. METHODS AND RESULTS Using EMPEROR-Preserved data, the effects of empagliflozin versus placebo on the risks for the primary outcome (hospitalization for heart failure [HHF] or cardiovascular [CV] death), change in estimated glomerular filtration rate (eGFR) slopes, change in Kansas City Cardiomyopathy Questionnaire clinical summary score (KCCQ-CSS), and secondary outcomes across baseline BMI categories (<25 kg/m2, 25 to <30 kg/m2, 30 to <35 kg/m2, 35 to <40 kg/m2 and ≥40 kg/m2) were examined, and a meta-analysis conducted with DELIVER. Forty-five percent had a BMI of ≥30 kg/m2. For the primary outcome, there was a consistent treatment effect of empagliflozin versus placebo across the BMI categories with no formal interaction (p trend = 0.19) by BMI categories. There was also no difference in the effects on secondary outcomes including total HHF (p trend = 0.19), CV death (p trend = 0.20), or eGFR slope with slower declines with empagliflozin regardless of BMI (range 1.12-1.71 ml/min/1.73 m2 relative to placebo, p trend = 0.85 for interaction), though there was no overall impact on the composite renal endpoint. The difference in weight change between empagliflozin and placebo was -0.59, -1.48, -1.54, -0.87, and - 2.67 kg in the lowest to highest BMI categories (p trend = 0.016 for interaction). A meta-analysis of data from EMPEROR-Preserved and DELIVER showed a consistent effect of SGLT2i versus placebo across BMI categories for the outcome of HHF or CV death. There was a trend toward greater absolute KCCQ-CSS benefit at 32 weeks with empagliflozin at higher BMIs (p = 0.08). CONCLUSIONS Empagliflozin treatment resulted in broadly consistent cardiac effects across the range of BMI in patients with HFpEF. SGLT2i treatment yields benefit in patients with HFpEF regardless of baseline BMI.
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Affiliation(s)
- Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, BHF Glasgow Cardiovascular Research Centre (GCRC), Glasgow, UK
| | - Javed Butler
- Baylor Scott and White Research Institute, Dallas TX and University of Mississippi, Jackson, MS, USA
| | - Matthew M Y Lee
- School of Cardiovascular and Metabolic Health, University of Glasgow, BHF Glasgow Cardiovascular Research Centre (GCRC), Glasgow, UK
| | - Josephine Harrington
- Division of Cardiology, Department of Medicine, Duke University, Durham, NC, USA
| | - Abhinav Sharma
- Division of Cardiology, McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Faiez Zannad
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques, -Plurithématique 14-33 and Inserm U1116, CHRU Nancy, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France
| | - Gerasimos Filippatos
- National and Kapodistrian University of Athens School of Medicine, Athens University Hospital Attikon, Athens, Greece
| | - Subodh Verma
- Division of Cardiac Surgery, St Michael's Hospital, Department of Surgery, and Pharmacology and Toxicology, University of Toronto, Toronto, ONT, Canada
| | - James L Januzzi
- Massachusetts General Hospital and Baim Institute for Clinical Research, Boston, MA, USA
| | - João Pedro Ferreira
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques, -Plurithématique 14-33 and Inserm U1116, CHRU Nancy, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France
- Cardiovascular R&D Centre-UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
- Heart Failure Clinic, Internal Medicine Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
| | - Stuart J Pocock
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Egon Pfarr
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - Anne P Ofstad
- Boehringer Ingelheim Norway KS, Asker, Norway
- Oslo Diabetes Research Center, Oslo, Norway
| | - Martina Brueckmann
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
- First Department of Medicine, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | | | - Stefan D Anker
- Department of Cardiology (CVK) of German Heart Center Charité; German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité Universitätsmedizin, Berlin, Germany
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Gerstein HC, Mian R, Ramasundarahettige C, Branch KRH, Del Prato S, Lam CSP, Lopes RD, Pratley R, Rosenstock J, Sattar N. Cardiovascular and renal outcomes with varying degrees of kidney disease in high-risk people with type 2 diabetes: An epidemiological analysis of data from the AMPLITUDE-O trial. Diabetes Obes Metab 2024; 26:1216-1223. [PMID: 38116691 DOI: 10.1111/dom.15417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 12/21/2023]
Abstract
AIMS To estimate the incidence of a major adverse cardiovascular event (MACE) and a composite kidney outcome across estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR) levels, and to determine whether efpeglenatide's effect varies with these indices. MATERIALS AND METHODS AMPLITUDE-O trial data were used to estimate the relationship of eGFR, UACR, and Kidney Disease Improving Global Outcomes (KDIGO) category to the hazard of MACE and the kidney composite. Interactions on these outcomes between eGFR and the UACR, and between each of these variables and efpeglenatide were also assessed. RESULTS Baseline eGFR and UACR were available for 3983 participants (mean age 64.5 years). During a median follow-up of 1.8 years, the hazards of MACE and the kidney composite for the lowest versus highest eGFR third were 1.6 (95% confidence interval [CI] 1.2, 2.2) and 2.3 (95% CI 1.9, 2.8), respectively. The hazards for the highest versus the lowest UACR third were 2.3 (95% CI 1.8, 3.1) and 18.0 (95% CI 12.7, 25.5), respectively, and for the high- versus low-risk KDIGO categories the hazards were 2.4 (95% CI 1.8, 3.1) and 16.0 (95% CI 11.6, 22.0), respectively. eGFR and UACR were independent determinants of both outcomes, but negatively interacted with each other for the kidney outcome. Efpeglenatide's effect on both outcomes did not vary with any kidney disease measure (all interaction p values ≥0.26). CONCLUSIONS In high-risk people with diabetes, eGFR, UACR, and KDIGO category have different relationships to incident cardiovascular and kidney outcomes. The beneficial effect of efpeglenatide on these outcomes is independent of kidney-related risk category.
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Affiliation(s)
- Hertzel C Gerstein
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
- Department of Medicine, Master University, Hamilton, Ontario, Canada
| | - Rajibul Mian
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | | | - Kelley R H Branch
- Division of Cardiology, University of Washington, Seattle, Washington, USA
| | - Stefano Del Prato
- Interdisciplinary Research Center "Health Science" of the Sant'Anna School of Advanced Studies, Pisa, Italy
| | - Carolyn S P Lam
- National Heart Centre Singapore and Duke-National University of Singapore, Singapore, Singapore
| | - Renato D Lopes
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Richard Pratley
- AdventHealth Translational Research Institute, Orlando, Florida, USA
| | | | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
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14
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Reith C, Preiss D, Blackwell L, Emberson J, Spata E, Davies K, Halls H, Holland L, Wilson K, Roddick AJ, Cannon CP, Clarke R, Colhoun HM, Durrington PN, Goto S, Hitman GA, Hovingh GK, Jukema JW, Koenig W, Marschner I, Mihaylova B, Newman C, Probsfield JL, Ridker PM, Sabatine MS, Sattar N, Schwartz GG, Tavazzi L, Tonkin A, Trompet S, White H, Yusuf S, Armitage J, Keech A, Simes J, Collins R, Baigent C, Barnes E, Fulcher J, Herrington WG, Kirby A, O'Connell R, Amarenco P, Arashi H, Barter P, Betteridge DJ, Blazing M, Blauw GJ, Bosch J, Bowman L, Braunwald E, Bulbulia R, Byington R, Clearfield M, Cobbe S, Dahlöf B, Davis B, de Lemos J, Downs JR, Fellström B, Flather M, Ford I, Franzosi MG, Fuller J, Furberg C, Glynn R, Goldbourt U, Gordon D, Gotto A, Grimm R, Gupta A, Charlie H, Hawkins CM, Haynes R, Holdaas H, Hopewell J, Jardine A, Kastelein JJP, Kean S, Kearney P, Kitas G, Kjekshus J, Knatterud G, Knopp RH, Koren M, Krane V, Landray M, LaRosa J, Latini R, Lonn E, Lucci D, MacFadyen J, Macfarlane P, MacMahon S, Maggioni A, Marchioli R, Moyé L, Murphy S, Neil A, Nicolis EB, Packard C, Parish S, Pedersen TR, Peto R, Pfeffer M, Poulter N, Pressel S, Probstfield J, Rahman M, Robertson M, Sacks F, Schmieder R, Serruys P, Sever P, Shaw J, Shepherd J, Simpson L, Sleight P, Smeeth L, Tobert J, Tognoni G, Varigos J, Wanner C, Wedel H, Weis S, Welch KM, Wikstrand J, Wilhelmsen L, Wiviott S, Yamaguchi J, Young R, Zannad F. Effects of statin therapy on diagnoses of new-onset diabetes and worsening glycaemia in large-scale randomised blinded statin trials: an individual participant data meta-analysis. Lancet Diabetes Endocrinol 2024:S2213-8587(24)00040-8. [PMID: 38554713 DOI: 10.1016/s2213-8587(24)00040-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/06/2024] [Accepted: 02/07/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Previous meta-analyses of summary data from randomised controlled trials have shown that statin therapy increases the risk of diabetes, but less is known about the size or timing of this effect, or who is at greatest risk. We aimed to address these gaps in knowledge through analysis of individual participant data from large, long-term, randomised, double-blind trials of statin therapy. METHODS We conducted a meta-analysis of individual participant data from randomised controlled trials of statin therapy that participated in the CTT Collaboration. All double-blind randomised controlled trials of statin therapy of at least 2 years' scheduled duration and with at least 1000 participants were eligible for inclusion in this meta-analysis. All recorded diabetes-related adverse events, treatments, and measures of glycaemia were sought from eligible trials. Meta-analyses assessed the effects of allocation to statin therapy on new-onset diabetes (defined by diabetes-related adverse events, use of new glucose-lowering medications, glucose concentrations, or HbA1c values) and on worsening glycaemia in people with diabetes (defined by complications of glucose control, increased use of glucose-lowering medication, or HbA1c increase of ≥0·5%). Standard inverse-variance-weighted meta-analyses of the effects on these outcomes were conducted according to a prespecified protocol. FINDINGS Of the trials participating in the CTT Collaboration, 19 trials compared statin versus placebo (123 940 participants, 25 701 [21%] with diabetes; median follow-up of 4·3 years), and four trials compared more versus less intensive statin therapy (30 724 participants, 5340 [17%] with diabetes, median follow-up of 4·9 years). Compared with placebo, allocation to low-intensity or moderate-intensity statin therapy resulted in a 10% proportional increase in new-onset diabetes (2420 of 39 179 participants assigned to receive a statin [1·3% per year] vs 2214 of 39 266 participants assigned to receive placebo [1·2% per year]; rate ratio [RR] 1·10, 95% CI 1·04-1·16), and allocation to high-intensity statin therapy resulted in a 36% proportional increase (1221 of 9935 participants assigned to receive a statin [4·8% per year] vs 905 of 9859 participants assigned to receive placebo [3·5% per year]; 1·36, 1·25-1·48). For each trial, the rate of new-onset diabetes among participants allocated to receive placebo depended mostly on the proportion of participants who had at least one follow-up HbA1c measurement; this proportion was much higher in the high-intensity than the low-intensity or moderate-intensity trials. Consequently, the main determinant of the magnitude of the absolute excesses in the two types of trial was the extent of HbA1c measurement rather than the proportional increase in risk associated with statin therapy. In participants without baseline diabetes, mean glucose increased by 0·04 mmol/L with both low-intensity or moderate-intensity (95% CI 0·03-0·05) and high-intensity statins (0·02-0·06), and mean HbA1c increased by 0·06% (0·00-0·12) with low-intensity or moderate-intensity statins and 0·08% (0·07-0·09) with high-intensity statins. Among those with a baseline measure of glycaemia, approximately 62% of new-onset diabetes cases were among participants who were already in the top quarter of the baseline distribution. The relative effects of statin therapy on new-onset diabetes were similar among different types of participants and over time. Among participants with baseline diabetes, the RRs for worsening glycaemia were 1·10 (1·06-1·14) for low-intensity or moderate-intensity statin therapy and 1·24 (1·06-1·44) for high-intensity statin therapy compared with placebo. INTERPRETATION Statins cause a moderate dose-dependent increase in new diagnoses of diabetes that is consistent with a small upwards shift in glycaemia, with the majority of new diagnoses of diabetes occurring in people with baseline glycaemic markers that are close to the diagnostic threshold for diabetes. Importantly, however, any theoretical adverse effects of statins on cardiovascular risk that might arise from these small increases in glycaemia (or, indeed, from any other mechanism) are already accounted for in the overall reduction in cardiovascular risk that is seen with statin therapy in these trials. These findings should further inform clinical guidelines regarding clinical management of people taking statin therapy. FUNDING British Heart Foundation, UK Medical Research Council, and Australian National Health and Medical Research Council.
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15
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Carey IM, Critchley JA, A R Chaudhry U, Cook DG, DeWilde S, Limb ES, Bowen L, Woolford S, Whincup PH, Sattar N, Panahloo A, Harris T. Effects of long-term HbA1c variability on serious infection risks in patients with type 2 diabetes and the influence of age, sex and ethnicity: A cohort study of primary care data. Diabetes Res Clin Pract 2024; 211:111641. [PMID: 38548108 DOI: 10.1016/j.diabres.2024.111641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/20/2024] [Accepted: 03/25/2024] [Indexed: 04/13/2024]
Abstract
AIMS Long-term HbA1c (glycated haemoglobin) variability is associated with micro- and macrovascular complications in Type 2 diabetes (T2D). We explored prospective associations between HbA1c variability and serious infections, and how these vary by HbA1c level, age, sex and ethnicity. METHODS 411,963 T2D patients in England, aged 18-90, alive on 01/01/2015 in the Clinical Practice Research Datalink with ≥ 4 HbA1c measurements during 2011-14. Poisson regression estimated incidence rate ratios (IRRs) for infections requiring hospitalisation during 2015-19 by HbA1c variability score (HVS) and average level, adjusting for confounders, and stratified by age, sex, ethnicity and average level. Attributable risk fractions (AF) were calculated using reference categories for variability (HVS < 20) and average level (42-48 mmol/mol). RESULTS An increased infection risk (IRR > 1.2) was seen with even modest variability (HVS ≥ 20, 73 % of T2D patients), but only at higher average levels (≥64 mmol/mol, 27 % patients). Estimated AFs were markedly greater for variability than average level (17.1 % vs. 4.1 %). Associations with variability were greater among older patients, and those with lower HbA1c levels, but not observed among Black ethnicities. CONCLUSIONS HbA1c variability between T2D patients' primary care visits appears to be associated with more serious infections than average level overall. Well-designed trials could test whether these associations are causal.
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Affiliation(s)
- Iain M Carey
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.
| | - Julia A Critchley
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Umar A R Chaudhry
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Derek G Cook
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Stephen DeWilde
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Elizabeth S Limb
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Liza Bowen
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Stephen Woolford
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Peter H Whincup
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, G12 8TA
| | - Arshia Panahloo
- St George's University Hospitals NHS Foundation Trust, Blackshaw Road, Tooting, London, SW17 0QT, United Kingdom
| | - Tess Harris
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
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Abraham A, Cule M, Thanaj M, Basty N, Hashemloo MA, Sorokin EP, Whitcher B, Burgess S, Bell JD, Sattar N, Thomas EL, Yaghootkar H. Genetic evidence for distinct biological mechanisms that link adiposity to type 2 diabetes: towards precision medicine. Diabetes 2024:db231005. [PMID: 38530928 DOI: 10.2337/db23-1005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 03/28/2024]
Abstract
We aimed to unravel the mechanisms connecting adiposity to type 2 diabetes. We employed MR-Clust to cluster independent genetic variants associated with body fat percentage (388 variants) and BMI (540 variants) based on their impact on type 2 diabetes. We identified five clusters of adiposity-increasing alleles associated with higher type 2 diabetes risk (unfavorable adiposity) and three clusters associated with lower risk (favorable adiposity). We then characterized each cluster based on various biomarkers, metabolites and Magnetic Resonance Imaging-based measures of fat distribution and muscle quality. Analyzing the metabolic signatures of these clusters revealed two primary mechanisms connecting higher adiposity to reduced type 2 diabetes risk. The first involves higher adiposity in subcutaneous tissues (abdomen and thigh), lower liver fat, improved insulin sensitivity, and decreased risk of cardiometabolic diseases and diabetes complications. The second mechanism is characterized by increased body size, enhanced muscle quality, with no impact on cardiometabolic outcomes. Furthermore, our findings unveil diverse mechanisms linking higher adiposity to higher disease risk, such as cholesterol pathways or inflammation. These results reinforce the existence of adiposity-related mechanisms that may act as protective factors against type 2 diabetes and its complications, especially when accompanied by reduced ectopic liver fat.
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Affiliation(s)
- Angela Abraham
- College of Health and Science, University of Lincoln, Joseph Banks Laboratories, Green Lane, Lincoln, UK
| | | | - Marjola Thanaj
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK
| | - Nicolas Basty
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK
| | - M Amin Hashemloo
- Department of Life Sciences, Brunel University London, Uxbridge, United Kingdom
| | | | - Brandon Whitcher
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Jimmy D Bell
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - E Louise Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK
| | - Hanieh Yaghootkar
- College of Health and Science, University of Lincoln, Joseph Banks Laboratories, Green Lane, Lincoln, UK
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17
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Helmink MAG, Hageman SHJ, Eliasson B, Sattar N, Visseren FLJ, Dorresteijn JAN, Harris K, Peters SAE, Woodward M, Szentkúti P, Højlund K, Henriksen JE, Sørensen HT, Serné EH, van Sloten TT, Thomsen RW, Westerink J. Lifetime and 10-year cardiovascular risk prediction in individuals with type 1 diabetes: The LIFE-T1D model. Diabetes Obes Metab 2024. [PMID: 38456579 DOI: 10.1111/dom.15531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/14/2024] [Accepted: 02/16/2024] [Indexed: 03/09/2024]
Abstract
AIMS To develop and externally validate the LIFE-T1D model for the estimation of lifetime and 10-year risk of cardiovascular disease (CVD) in individuals with type 1 diabetes. MATERIALS AND METHODS A sex-specific competing risk-adjusted Cox proportional hazards model was derived in individuals with type 1 diabetes without prior CVD from the Swedish National Diabetes Register (NDR), using age as the time axis. Predictors included age at diabetes onset, smoking status, body mass index, systolic blood pressure, glycated haemoglobin level, estimated glomerular filtration rate, non-high-density lipoprotein cholesterol, albuminuria and retinopathy. The model was externally validated in the Danish Funen Diabetes Database (FDDB) and the UK Biobank. RESULTS During a median follow-up of 11.8 years (interquartile interval 6.1-17.1 years), 4608 CVD events and 1316 non-CVD deaths were observed in the NDR (n = 39 756). The internal validation c-statistic was 0.85 (95% confidence interval [CI] 0.84-0.85) and the external validation c-statistics were 0.77 (95% CI 0.74-0.81) for the FDDB (n = 2709) and 0.73 (95% CI 0.70-0.77) for the UK Biobank (n = 1022). Predicted risks were consistent with the observed incidence in the derivation and both validation cohorts. CONCLUSIONS The LIFE-T1D model can estimate lifetime risk of CVD and CVD-free life expectancy in individuals with type 1 diabetes without previous CVD. This model can facilitate individualized CVD prevention among individuals with type 1 diabetes. Validation in additional cohorts will improve future clinical implementation.
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Affiliation(s)
- Marga A G Helmink
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Steven H J Hageman
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Björn Eliasson
- Department of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Sciences, University of Glasgow, Glasgow, UK
| | - Frank L J Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jannick A N Dorresteijn
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Katie Harris
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Sanne A E Peters
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- The George Institute for Global Health, Imperial College London, London, UK
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- The George Institute for Global Health, Imperial College London, London, UK
| | - Péter Szentkúti
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Kurt Højlund
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Jan Erik Henriksen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Erik H Serné
- Department of Vascular Medicine, Amsterdam University Medical Center, Location AMC, Amsterdam, The Netherlands
| | - Thomas T van Sloten
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Reimar W Thomsen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Jan Westerink
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Internal Medicine, Isala, Zwolle, The Netherlands
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Ferreira JP, Packer M, Sattar N, Butler J, Pocock SJ, Anker SD, Maldonado SG, Panova-Noeva M, Sumin M, Masson S, Zannad F, Januzzi JL. Carbohydrate antigen 125 concentrations across the ejection fraction spectrum in chronic heart failure: The EMPEROR programme. Eur J Heart Fail 2024. [PMID: 38439582 DOI: 10.1002/ejhf.3166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 01/30/2024] [Accepted: 02/01/2024] [Indexed: 03/06/2024] Open
Abstract
AIM Vascular congestion may lead to an increase of carbohydrate antigen 125 (CA-125). The role of CA-125 as a biomarker of congestion or for prognosis across the full ejection fraction (EF) spectrum of chronic heart failure (HF) remains unknown. METHODS AND RESULTS Serum CA-125 was measured in 1111 study participants from the EMPEROR-Reduced and EMPEROR-Preserved trials. Congestive signs and symptoms were evaluated across CA-125 tertiles. Cox regression was used to study the association with outcomes. The primary outcome was a composite of first HF hospitalization or cardiovascular (CV) death. No significant association was present between baseline CA-125 levels and congestive signs or symptoms. In the overall population, higher CA-125 levels were not associated with an increased risk of primary outcome (tertile 3 vs. tertile 1: hazard ratio [HR] 1.34; 95% confidence interval [CI] 0.91-1.96; p-trend = 0.11). However, higher CA-125 levels were associated with an increased risk of primary outcome in patients with HF and reduced EF (HFrEF; tertile 3 vs. tertile 1: HR 2.25 [95% CI 1.30-3.89]), but not among patients with preserved EF (HFpEF; tertile 3 vs. tertile 1: HR 0.68 [95% CI 0.38-1.21]); interaction-p = 0.02). Patients in the upper CA-125 tertile also showed the steepest estimated glomerular filtration rate decline over time (p-trend = 0.03). The effect of empagliflozin to reduce the risk of CV death or HF hospitalization appeared to be attenuated in those with lower baseline CA-125 levels (interaction-p-trend = 0.09). CONCLUSION Across the range of EF in patients with chronic HF enrolled in the EMPEROR trials, the majority of whom did not have clinical evidence of congestion, CA-125 concentrations were not significantly associated with congestive signs or symptoms. CA-125 concentrations may predict HF hospitalization/CV death in patients with HFrEF, but not those with HFpEF. CLINICAL TRIAL REGISTRATION EMPEROR-Reduced (NCT03057977), EMPEROR-Preserved (NCT03057951).
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Affiliation(s)
- João Pedro Ferreira
- Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Cardiovascular Research and Development Center (UnIC@RISE), Porto, Portugal
- Heart Failure Clinic, Internal Medicine Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Gaia, Portugal
- Centre d'Investigations Cliniques Plurithématique 14-33, Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Cardiovascular Research and Development Center, Université de Lorraine, Nancy, France
| | - Milton Packer
- Imperial College London, London, UK
- Baylor Heart and Vascular Institute, Baylor University Medical Center, Dallas, TX, USA
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Javed Butler
- Baylor Scott and White Research Institute, Dallas, TX, USA
- University of Mississippi Medical Center, Jackson, MS, USA
| | | | - Stefan D Anker
- Center for Regenerative Therapies, Berlin Institute of Health, Department of Cardiology, German Centre for Cardiovascular Research, partner site Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
| | | | | | - Mikhail Sumin
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - Serge Masson
- Roche Diagnostics International Ltd, Rotkreuz, Switzerland
| | - Faiez Zannad
- Centre d'Investigations Cliniques Plurithématique 1433, INSERM, Université de Lorraine, Nancy, France
| | - James L Januzzi
- Massachusetts General Hospital and Baim Institute for Clinical Research, Boston, MA, USA
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19
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Harrington J, Felker GM, Januzzi JL, Lam CSP, Lingvay I, Pagidipati NJ, Sattar N, Van Spall HGC, Verma S, McGuire DK. Worth Their Weight? An Update on New and Emerging Pharmacologic Agents for Obesity and Their Potential Role for Persons with Cardiac Conditions. Curr Cardiol Rep 2024; 26:61-71. [PMID: 38551786 DOI: 10.1007/s11886-023-02016-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/21/2023] [Indexed: 04/05/2024]
Abstract
PURPOSE OF REVIEW Obesity is associated with cardiovascular (CV) conditions, including but not limited to atherosclerotic disease, heart failure, and atrial fibrillation. Despite this, the impact of intentional weight loss on CV outcomes for persons with obesity and established CV conditions remains poorly studied. New and emerging pharmacologic therapies for weight loss primarily targeting the incretin/nutrient sensing axes induce substantial and sustained weight loss. The glucagon-like-peptide 1 receptor agonists (GLP-1 RA) liraglutide and semaglutide have US FDA approval for the treatment of obesity, and the application for an obesity indication for the dual GLP-1/glucose-dependent insulinotropic polypeptide (GIP) receptor agonist tirzepatide is presently under FDA review. Extensive phase II and IIIa randomized controlled trials are underway evaluating permutations of combined GLP-1 RA, GIP receptor agonist, GIP receptor antagonist, and glucagon receptor agonists. Clinical outcome trials of these therapies in persons with obesity at high risk of established CV conditions should make it possible to estimate the role of intentional weight loss in managing CV risk via these medications. RECENT FINDINGS High-dose once weekly injectable semaglutide (2.4 mg/week) use among persons with obesity and heart failure with preserved ejection fraction was effective at both reducing weight and improving health status; exercise capacity was also improved. Ongoing CV outcome trials of oral semaglutide and once weekly injectable tirzepatide will help to establish the role of these therapies among persons with other CV conditions. In addition to these two therapies targeting a CV claim or indication, many other new therapeutics for weight loss, as reviewed, are currently in development. The impact of pharmacologic-induced weight loss on CV conditions for persons with obesity and established CV conditions is currently under investigation for multiple agents. These therapies may offer new avenues to manage CV risk in persons with obesity and with established or at high risk for CV disease.
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Affiliation(s)
- Josephine Harrington
- Division of Cardiology, Department of Internal Medicine, Duke University Medical Center, Durham North Carolina, Durham, USA.
- Duke Clinical Research Institute, Durham, NC, USA.
| | - G Michael Felker
- Division of Cardiology, Department of Internal Medicine, Duke University Medical Center, Durham North Carolina, Durham, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | - James L Januzzi
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Baim Institute for Clinical Research, Boston, MA, USA
| | - Carolyn S P Lam
- Baim Institute for Clinical Research, Boston, MA, USA
- National Heart Centre Singapore and Duke-National University of Singapore, Singapore, Singapore
| | - Ildiko Lingvay
- Division of Endocrinology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Peter O'Donnell Jr School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Neha J Pagidipati
- Division of Cardiology, Department of Internal Medicine, Duke University Medical Center, Durham North Carolina, Durham, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Harriette G C Van Spall
- Baim Institute for Clinical Research, Boston, MA, USA
- Research Institute of St. Joseph's, Hamilton, Canada
- McMaster University Faculty of Health Sciences, Hamilton, Canada
| | - Subodh Verma
- Division of Cardiac Surgery, St Michael's Hospital of Unity Health Toronto, Toronto, ON, Canada
- Department of Surgery, and Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Darren K McGuire
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Parkland Health, Dallas, TX, USA
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20
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Ferguson LD, Molenberghs G, Verbeke G, Rahimi K, Rao S, McInnes IB, McMurray JJV, Sattar N, Conrad N. Gout and incidence of 12 cardiovascular diseases: a case-control study including 152 663 individuals with gout and 709 981 matched controls. Lancet Rheumatol 2024; 6:e156-e167. [PMID: 38383089 DOI: 10.1016/s2665-9913(23)00338-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/14/2023] [Accepted: 12/14/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND Gout, a common crystal arthropathy, is associated with increased risk of cardiovascular disease. We aimed to identify how this risk varies by individual cardiovascular disease across a broad spectrum of conditions. METHODS In this matched case-control study, we used linked primary and secondary electronic health records from the UK Clinical Practice Research Datalink to assemble a cohort of individuals with a first-time diagnosis of gout between Jan 1, 2000 and Dec 31, 2017, who were aged 80 years or younger at diagnosis, and free of cardiovascular diseases up to 12 months after diagnosis. The control cohort comprised up to five control individuals per patient with gout, matched on age, sex, socioeconomic status, geographical region, and calendar time, randomly selected among individuals free of gout at any time before and during the study period. The cohorts were followed up until June 30, 2019. We investigated the incidence of 12 cardiovascular diseases and used Cox proportional hazards models to examine differences in people with and without gout, overall and by subgroups of sex, age, socioeconomic status, and year of study inclusion. We further adjusted models for known cardiovascular risk factors (blood pressure, BMI, smoking status, cholesterol, type 2 diabetes, chronic kidney disease, and history of hypertension). FINDINGS We identified 152 663 individuals with gout (mean age 56·2 years [SD 13·3]; 120 324 [78·8%] men and 32 339 [21·2%] women) and 709 981 matched controls (mean age 56·5 years [13·2]; 561 002 [79·0%] men and 148 979 [21·0%] women). Of these individuals, 31 479 (20·6%) with gout and 106 520 (15·0%) without gout developed cardiovascular disease during a median follow-up of 6·5 years (IQR 3·1-10·5). Patients with gout had higher risk of cardiovascular diseases than matched controls (hazard ratio [HR] 1·58 [95% CI 1·52-1·63]). Excess risk of cardiovascular disease in gout was greater in women than men (women: HR 1·88 [1·75-2·02]; men: HR 1·49 [1·43-1·56]), and, among all age groups, was highest in younger individuals (HR in people aged <45 years: 2·22 [1·92-2·57]). Excess risk was observed across all 12 cardiovascular diseases investigated. Patients with gout had higher BMI than matched controls (mean difference 2·90 kg/m2 [95% CI 2·87-2·93]) and higher prevalence of chronic kidney disease, dyslipidaemia, history of hypertension, obesity, and type 2 diabetes. Adjusting for known cardiovascular risk factors attenuated but did not eliminate the excess risk of cardiovascular disease related to gout (adjusted HR 1·31 [1·27-1·36]). INTERPRETATION Patients with gout had an excess risk of developing a broad range of cardiovascular diseases that extend beyond atherosclerotic diseases and include heart failure, arrhythmias, valve disease, and thromboembolic diseases. Excess risk was highest in women and younger individuals. These findings suggest that strategies to reduce cardiovascular risk in patients with gout need to evolve and be implemented in clinical practice. FUNDING Research Foundation Flanders.
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Affiliation(s)
- Lyn D Ferguson
- School of Cardiovascular and Metabolic Health, University of Glasgow, UK
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University and KU Leuven, Leuven, Belgium
| | - Geert Verbeke
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University and KU Leuven, Leuven, Belgium
| | - Kazem Rahimi
- Deep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Shishir Rao
- Deep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Iain B McInnes
- College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - John J V McMurray
- School of Cardiovascular and Metabolic Health, University of Glasgow, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, UK
| | - Nathalie Conrad
- School of Cardiovascular and Metabolic Health, University of Glasgow, UK; Deep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK; Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
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21
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Deo SV, Al-Kindi S, Motairek I, McAllister D, Shah ASV, Elgudin YE, Gorodeski EZ, Virani S, Petrie MC, Rajagopalan S, Sattar N. Impact of Residential Social Deprivation on Prediction of Heart Failure in Patients With Type 2 Diabetes: External Validation and Recalibration of the WATCH-DM Score Using Real World Data. Circ Cardiovasc Qual Outcomes 2024; 17:e010166. [PMID: 38328913 DOI: 10.1161/circoutcomes.123.010166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 11/20/2023] [Indexed: 02/09/2024]
Abstract
BACKGROUND Patients with type 2 diabetes are at risk of heart failure hospitalization. As social determinants of health are rarely included in risk models, we validated and recalibrated the WATCH-DM score in a diverse patient-group using their social deprivation index (SDI). METHODS We identified US Veterans with type 2 diabetes without heart failure that received outpatient care during 2010 at Veterans Affairs medical centers nationwide, linked them to their SDI using residential ZIP codes and grouped them as SDI <20%, 21% to 40%, 41% to 60%, 61% to 80%, and >80% (higher values represent increased deprivation). Accounting for all-cause mortality, we obtained the incidence for heart failure hospitalization at 5 years follow-up; overall and in each SDI group. We evaluated the WATCH-DM score using the C statistic, the Greenwood Nam D'Agostino test χ2 test and calibration plots and further recalibrated the WATCH-DM score for each SDI group using a statistical correction factor. RESULTS In 1 065 691 studied patients (mean age 67 years, 25% Black and 6% Hispanic patients), the 5-year incidence of heart failure hospitalization was 5.39%. In SDI group 1 (least deprived) and 5 (most deprived), the 5-year heart failure hospitalization was 3.18% and 11%, respectively. The score C statistic was 0.62; WATCH-DM systematically overestimated heart failure risk in SDI groups 1 to 2 (expected/observed ratios, 1.38 and 1.36, respectively) and underestimated the heart failure risk in groups 4 to 5 (expected/observed ratios, 0.95 and 0.80, respectively). Graphical evaluation demonstrated that the recalibration of WATCH-DM using an SDI group-based correction factor improved predictive capabilities as supported by reduction in the χ2 test results (801-27 in SDI groups I; 623-23 in SDI group V). CONCLUSIONS Including social determinants of health to recalibrate the WATCH-DM score improved risk prediction highlighting the importance of including social determinants in future clinical risk prediction models.
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Affiliation(s)
- Salil V Deo
- Surgical Services, Louis Stokes Cleveland VA Medical Center, Cleveland, OH (S.V.D., Y.E.E.)
- Case School of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH (S.V.D., Y.E.E., E.Z.G., S.R.)
- School of Health and Wellbeing (S.V.D., D.M.), University of Glasgow, United Kingdom
| | - Sadeer Al-Kindi
- Division of Cardiovascular Prevention and Wellness, DeBakey Heart and Vascular Center, Houston Methodist, Houston, TX (S.A.-K.)
| | - Issam Motairek
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (I.M., E.Z.G., S.R.)
| | - David McAllister
- School of Health and Wellbeing (S.V.D., D.M.), University of Glasgow, United Kingdom
| | - Anoop S V Shah
- London School of Hygiene and Tropical Medicine, London, United Kingdom (A.S.V.S.)
| | - Yakov E Elgudin
- Surgical Services, Louis Stokes Cleveland VA Medical Center, Cleveland, OH (S.V.D., Y.E.E.)
- Case School of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH (S.V.D., Y.E.E., E.Z.G., S.R.)
| | - Eiran Z Gorodeski
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (I.M., E.Z.G., S.R.)
| | - Salim Virani
- The Aga Khan University, Karachi, Pakistan (S.V.)
- Division of Cardiology, Baylor School of Medicine, Houston, TX (S.V.)
| | - Mark C Petrie
- BHF Cardiovascular Research Center, School of Cardiovascular and Metabolic Health (M.C.P., N.S.), University of Glasgow, United Kingdom
- Robertson Center for Biostatistics (M.C.P.), University of Glasgow, United Kingdom
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (I.M., E.Z.G., S.R.)
| | - Naveed Sattar
- BHF Cardiovascular Research Center, School of Cardiovascular and Metabolic Health (M.C.P., N.S.), University of Glasgow, United Kingdom
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22
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Suzuki K, Hatzikotoulas K, Southam L, Taylor HJ, Yin X, Lorenz KM, Mandla R, Huerta-Chagoya A, Melloni GEM, Kanoni S, Rayner NW, Bocher O, Arruda AL, Sonehara K, Namba S, Lee SSK, Preuss MH, Petty LE, Schroeder P, Vanderwerff B, Kals M, Bragg F, Lin K, Guo X, Zhang W, Yao J, Kim YJ, Graff M, Takeuchi F, Nano J, Lamri A, Nakatochi M, Moon S, Scott RA, Cook JP, Lee JJ, Pan I, Taliun D, Parra EJ, Chai JF, Bielak LF, Tabara Y, Hai Y, Thorleifsson G, Grarup N, Sofer T, Wuttke M, Sarnowski C, Gieger C, Nousome D, Trompet S, Kwak SH, Long J, Sun M, Tong L, Chen WM, Nongmaithem SS, Noordam R, Lim VJY, Tam CHT, Joo YY, Chen CH, Raffield LM, Prins BP, Nicolas A, Yanek LR, Chen G, Brody JA, Kabagambe E, An P, Xiang AH, Choi HS, Cade BE, Tan J, Broadaway KA, Williamson A, Kamali Z, Cui J, Thangam M, Adair LS, Adeyemo A, Aguilar-Salinas CA, Ahluwalia TS, Anand SS, Bertoni A, Bork-Jensen J, Brandslund I, Buchanan TA, Burant CF, Butterworth AS, Canouil M, Chan JCN, Chang LC, Chee ML, Chen J, Chen SH, Chen YT, Chen Z, Chuang LM, Cushman M, Danesh J, Das SK, de Silva HJ, Dedoussis G, Dimitrov L, Doumatey AP, Du S, Duan Q, Eckardt KU, Emery LS, Evans DS, Evans MK, Fischer K, Floyd JS, Ford I, Franco OH, Frayling TM, Freedman BI, Genter P, Gerstein HC, Giedraitis V, González-Villalpando C, González-Villalpando ME, Gordon-Larsen P, Gross M, Guare LA, Hackinger S, Hakaste L, Han S, Hattersley AT, Herder C, Horikoshi M, Howard AG, Hsueh W, Huang M, Huang W, Hung YJ, Hwang MY, Hwu CM, Ichihara S, Ikram MA, Ingelsson M, Islam MT, Isono M, Jang HM, Jasmine F, Jiang G, Jonas JB, Jørgensen T, Kamanu FK, Kandeel FR, Kasturiratne A, Katsuya T, Kaur V, Kawaguchi T, Keaton JM, Kho AN, Khor CC, Kibriya MG, Kim DH, Kronenberg F, Kuusisto J, Läll K, Lange LA, Lee KM, Lee MS, Lee NR, Leong A, Li L, Li Y, Li-Gao R, Ligthart S, Lindgren CM, Linneberg A, Liu CT, Liu J, Locke AE, Louie T, Luan J, Luk AO, Luo X, Lv J, Lynch JA, Lyssenko V, Maeda S, Mamakou V, Mansuri SR, Matsuda K, Meitinger T, Melander O, Metspalu A, Mo H, Morris AD, Moura FA, Nadler JL, Nalls MA, Nayak U, Ntalla I, Okada Y, Orozco L, Patel SR, Patil S, Pei P, Pereira MA, Peters A, Pirie FJ, Polikowsky HG, Porneala B, Prasad G, Rasmussen-Torvik LJ, Reiner AP, Roden M, Rohde R, Roll K, Sabanayagam C, Sandow K, Sankareswaran A, Sattar N, Schönherr S, Shahriar M, Shen B, Shi J, Shin DM, Shojima N, Smith JA, So WY, Stančáková A, Steinthorsdottir V, Stilp AM, Strauch K, Taylor KD, Thorand B, Thorsteinsdottir U, Tomlinson B, Tran TC, Tsai FJ, Tuomilehto J, Tusie-Luna T, Udler MS, Valladares-Salgado A, van Dam RM, van Klinken JB, Varma R, Wacher-Rodarte N, Wheeler E, Wickremasinghe AR, van Dijk KW, Witte DR, Yajnik CS, Yamamoto K, Yamamoto K, Yoon K, Yu C, Yuan JM, Yusuf S, Zawistowski M, Zhang L, Zheng W, Raffel LJ, Igase M, Ipp E, Redline S, Cho YS, Lind L, Province MA, Fornage M, Hanis CL, Ingelsson E, Zonderman AB, Psaty BM, Wang YX, Rotimi CN, Becker DM, Matsuda F, Liu Y, Yokota M, Kardia SLR, Peyser PA, Pankow JS, Engert JC, Bonnefond A, Froguel P, Wilson JG, Sheu WHH, Wu JY, Hayes MG, Ma RCW, Wong TY, Mook-Kanamori DO, Tuomi T, Chandak GR, Collins FS, Bharadwaj D, Paré G, Sale MM, Ahsan H, Motala AA, Shu XO, Park KS, Jukema JW, Cruz M, Chen YDI, Rich SS, McKean-Cowdin R, Grallert H, Cheng CY, Ghanbari M, Tai ES, Dupuis J, Kato N, Laakso M, Köttgen A, Koh WP, Bowden DW, Palmer CNA, Kooner JS, Kooperberg C, Liu S, North KE, Saleheen D, Hansen T, Pedersen O, Wareham NJ, Lee J, Kim BJ, Millwood IY, Walters RG, Stefansson K, Ahlqvist E, Goodarzi MO, Mohlke KL, Langenberg C, Haiman CA, Loos RJF, Florez JC, Rader DJ, Ritchie MD, Zöllner S, Mägi R, Marston NA, Ruff CT, van Heel DA, Finer S, Denny JC, Yamauchi T, Kadowaki T, Chambers JC, Ng MCY, Sim X, Below JE, Tsao PS, Chang KM, McCarthy MI, Meigs JB, Mahajan A, Spracklen CN, Mercader JM, Boehnke M, Rotter JI, Vujkovic M, Voight BF, Morris AP, Zeggini E. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. Nature 2024; 627:347-357. [PMID: 38374256 PMCID: PMC10937372 DOI: 10.1038/s41586-024-07019-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 01/03/2024] [Indexed: 02/21/2024]
Abstract
Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.
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Affiliation(s)
- Ken Suzuki
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, UK
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Konstantinos Hatzikotoulas
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
| | - Lorraine Southam
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Henry J Taylor
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Xianyong Yin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Kim M Lorenz
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ravi Mandla
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Alicia Huerta-Chagoya
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Giorgio E M Melloni
- TIMI Study Group, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Nigel W Rayner
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Ozvan Bocher
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Ana Luiza Arruda
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Graduate School of Experimental Medicine, Technical University of Munich, Munich, Germany
- Munich School for Data Science, Helmholtz Munich, Neuherberg, Germany
| | - Kyuto Sonehara
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shinichi Namba
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Simon S K Lee
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael H Preuss
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lauren E Petty
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Philip Schroeder
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Brett Vanderwerff
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Mart Kals
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Fiona Bragg
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London NorthWest Healthcare NHS Trust, London, UK
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, South Korea
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Jana Nano
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Amel Lamri
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Sanghoon Moon
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, South Korea
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - James P Cook
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | - Jung-Jin Lee
- Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ian Pan
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Daniel Taliun
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Esteban J Parra
- Department of Anthropology, University of Toronto at Mississauga, Mississauga, Ontario, Canada
| | - Jin-Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yang Hai
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | | | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tamar Sofer
- Department of Biostatistics, Harvard University, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard University, Boston, MA, USA
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Chloé Sarnowski
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Christian Gieger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Darryl Nousome
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Soo-Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Meng Sun
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Lin Tong
- Institute for Population and Precision Health (IPPH), Biological Sciences Division, University of Chicago, Chicago, IL, USA
| | - Wei-Min Chen
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Suraj S Nongmaithem
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
| | - Raymond Noordam
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Victor J Y Lim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Chinese University of Hong Kong, Hong Kong, China
| | - Yoonjung Yoonie Joo
- Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Bram Peter Prins
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Aude Nicolas
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Edmond Kabagambe
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Academics, Ochsner Health, New Orleans, LA, USA
| | - Ping An
- Division of Statistical Genomics, Washington University School of Medicine, St Louis, MO, USA
| | - Anny H Xiang
- Department of Research and Evaluation, Division of Biostatistics Research, Kaiser Permanente of Southern California, Pasadena, CA, USA
| | - Hyeok Sun Choi
- Department of Biomedical Science, Hallym University, Chuncheon, South Korea
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jingyi Tan
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - K Alaine Broadaway
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alice Williamson
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK
| | - Zoha Kamali
- Department of Epidemiology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Jinrui Cui
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Manonanthini Thangam
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Linda S Adair
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Carlos A Aguilar-Salinas
- Unidad de Investigación en Enfermedades Metabólicas and Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Tarunveer S Ahluwalia
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Bioinformatics Center, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Sonia S Anand
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Alain Bertoni
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ivan Brandslund
- Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
- Department of Clinical Biochemistry, Vejle Hospital, Vejle, Denmark
| | - Thomas A Buchanan
- Department of Medicine, Division of Endocrinology and Diabetes, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Charles F Burant
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus, University of Cambridge, Hinxton, UK
- National Institute for Health and Care Research (NIHR) Blood and Transplant Unit (BTRU) in Donor Health and Behaviour, Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Mickaël Canouil
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France
- University of Lille, Lille, France
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, Chinese University of Hong Kong, Hong Kong, China
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Miao-Li Chee
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Ji Chen
- Exeter Centre of Excellence in Diabetes (ExCEeD), Exeter Medical School, University of Exeter, Exeter, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Shyh-Huei Chen
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Yuan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Lee-Ming Chuang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
| | - Mary Cushman
- Department of Medicine, University of Vermont, Colchester, VT, USA
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- British Heart Foundation Centre of Research Excellence, School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus, University of Cambridge, Hinxton, UK
- National Institute for Health and Care Research (NIHR) Blood and Transplant Unit (BTRU) in Donor Health and Behaviour, Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Swapan K Das
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - H Janaka de Silva
- Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - George Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - Latchezar Dimitrov
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shufa Du
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Qing Duan
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Leslie S Emery
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Krista Fischer
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Oscar H Franco
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Barry I Freedman
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Pauline Genter
- Department of Medicine, Division of Endocrinology and Metabolism, Lundquist Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Hertzel C Gerstein
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Clicerio González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Publica, Mexico City, Mexico
| | - Maria Elena González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Publica, Mexico City, Mexico
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Lindsay A Guare
- Genomics and Computational Biology Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sophie Hackinger
- Department of Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Liisa Hakaste
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
| | - Sohee Han
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, South Korea
| | | | - Christian Herder
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Momoko Horikoshi
- Laboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Annie-Green Howard
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Willa Hsueh
- Department of Internal Medicine, Diabetes and Metabolism Research Center, Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Mengna Huang
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
- Center for Global Cardiometabolic Health, Brown University, Providence, RI, USA
| | - Wei Huang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China
| | - Yi-Jen Hung
- Division of Endocrine and Metabolism, Tri-Service General Hospital Songshan Branch, Taipei, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Mi Yeong Hwang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Korea
| | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Sahoko Ichihara
- Department of Environmental and Preventive Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan
| | - Mohammad Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | | | - Masato Isono
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Hye-Mi Jang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Korea
| | - Farzana Jasmine
- Institute for Population and Precision Health (IPPH), Biological Sciences Division, University of Chicago, Chicago, IL, USA
| | - Guozhi Jiang
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Chinese University of Hong Kong, Hong Kong, China
| | - Jost B Jonas
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
| | - Torben Jørgensen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Faculty of Medicine, Aalborg University, Aalborg, Denmark
| | - Frederick K Kamanu
- TIMI Study Group, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Fouad R Kandeel
- Department of Clinical Diabetes, Endocrinology and Metabolism, Department of Translational Research and Cellular Therapeutics, City of Hope, Duarte, CA, USA
| | | | - Tomohiro Katsuya
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Varinderpal Kaur
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Jacob M Keaton
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Abel N Kho
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Center for Health Information Partnerships, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Muhammad G Kibriya
- Institute for Population and Precision Health (IPPH), Biological Sciences Division, University of Chicago, Chicago, IL, USA
| | - Duk-Hwan Kim
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, South Korea
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Kristi Läll
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Kyung Min Lee
- VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Myung-Shik Lee
- Soochunhyang Institute of Medi-bio Science and Division of Endocrinology, Department of Internal Medicine, Soochunhyang University College of Medicine, Cheonan, South Korea
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Nanette R Lee
- USC-Office of Population Studies Foundation, University of San Carlos, Cebu City, Philippines
| | - Aaron Leong
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Yun Li
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Symen Ligthart
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Cecilia M Lindgren
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Adam E Locke
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Medicine, Division of Genomics and Bioinformatics, Washington University School of Medicine, St Louis, MO, USA
- Regeneron Genetics Center, Tarrytown, NY, USA
| | - Tin Louie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Andrea O Luk
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Chinese University of Hong Kong, Hong Kong, China
| | - Xi Luo
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Julie A Lynch
- VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Valeriya Lyssenko
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
- Department of Clinical Science, Center for Diabetes Research, University of Bergen, Bergen, Norway
| | - Shiro Maeda
- Laboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
- Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Nishihara, Japan
| | - Vasiliki Mamakou
- Dromokaiteio Psychiatric Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Sohail Rafik Mansuri
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Koichi Matsuda
- Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technical University Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Olle Melander
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Andres Metspalu
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Huan Mo
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrew D Morris
- Usher Institute to the Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Filipe A Moura
- TIMI Study Group, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jerry L Nadler
- Department of Medicine and Pharmacology, New York Medical College, Valhalla, NY, USA
| | - Michael A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Glen Echo, MD, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Uma Nayak
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Ioanna Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita, Japan
| | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Sanjay R Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Snehal Patil
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Mark A Pereira
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Fraser J Pirie
- Department of Diabetes and Endocrinology, Nelson R. Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Hannah G Polikowsky
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bianca Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gauri Prasad
- Academy of Scientific and Innovative Research, CSIR-Human Resource Development Campus, Ghaziabad, India
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Michael Roden
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Rebecca Rohde
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Katheryn Roll
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Kevin Sandow
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Alagu Sankareswaran
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Mohammad Shahriar
- Institute for Population and Precision Health (IPPH), Biological Sciences Division, University of Chicago, Chicago, IL, USA
| | - Botong Shen
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Jinxiu Shi
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China
| | - Dong Mun Shin
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Korea
| | - Nobuhiro Shojima
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Wing Yee So
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, Chinese University of Hong Kong, Hong Kong, China
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | | | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Biostatistics, Epidemiology, and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
- Chair of Genetic Epidemiology, Institute of Medical Information Processing, Biometry, and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Brian Tomlinson
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, China
- Faculty of Medicine, Macau University of Science and Technology, Macau, China
| | - Tam C Tran
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Fuu-Jen Tsai
- Department of Medical Genetics and Medical Research, China Medical University Hospital, Taichung, Taiwan
| | - Jaakko Tuomilehto
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- National School of Public Health, Madrid, Spain
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Teresa Tusie-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Departamento de Medicina Genómica y Toxiología Ambiental, Instituto de Investigaciones Biomédicas, UNAM, Mexico City, Mexico
| | - Miriam S Udler
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Adan Valladares-Salgado
- Unidad de Investigacion Medica en Bioquimica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Jan B van Klinken
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Clinical Chemistry, Laboratory of Genetic Metabolic Disease, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Rohit Varma
- Southern California Eye Institute, CHA Hollywood Presbyterian Hospital, Los Angeles, CA, USA
| | - Niels Wacher-Rodarte
- Unidad de Investigación Médica en Epidemiologia Clinica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Eleanor Wheeler
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | | | - Ko Willems van Dijk
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Chittaranjan S Yajnik
- Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
| | - Ken Yamamoto
- Department of Medical Biochemistry, Kurume University School of Medicine, Kurume, Japan
| | - Kenichi Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kyungheon Yoon
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Korea
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Salim Yusuf
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Matthew Zawistowski
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Liang Zhang
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Leslie J Raffel
- Department of Pediatrics, Division of Genetic and Genomic Medicine, UCI Irvine School of Medicine, Irvine, CA, USA
| | - Michiya Igase
- Department of Anti-Aging Medicine, Ehime University Graduate School of Medicine, Touon, Japan
| | - Eli Ipp
- Department of Medicine, Division of Endocrinology and Metabolism, Lundquist Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Yoon Shin Cho
- Department of Biomedical Science, Hallym University, Chuncheon, South Korea
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Michael A Province
- Division of Statistical Genomics, Washington University School of Medicine, St Louis, MO, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Craig L Hanis
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Erik Ingelsson
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Ya-Xing Wang
- Beijing Institute of Ophthalmology, Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Diane M Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Medicine, Division of Cardiology, Duke University School of Medicine, Durham, NC, USA
| | | | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - James C Engert
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Amélie Bonnefond
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France
- University of Lille, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Philippe Froguel
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France
- University of Lille, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - James G Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Wayne H H Sheu
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Endocrinology and Metabolism, Department of Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - M Geoffrey Hayes
- Division of Endocrinology, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Anthropology, Northwestern University, Evanston, IL, USA
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, Chinese University of Hong Kong, Hong Kong, China
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Tiinamaija Tuomi
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Department of Endocrinology, Helsinki University Hospital, Helsinki, Finland
| | - Giriraj R Chandak
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
- Science and Engineering Research Board (SERB), Department of Science and Technology, Ministry of Science and Technology, Government of India, New Delhi, India
| | - Francis S Collins
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Dwaipayan Bharadwaj
- Systems Genomics Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi, India
| | - Guillaume Paré
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Michèle M Sale
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Habibul Ahsan
- Institute for Population and Precision Health (IPPH), Biological Sciences Division, University of Chicago, Chicago, IL, USA
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, Nelson R. Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kyong-Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
| | - Miguel Cruz
- Unidad de Investigacion Medica en Bioquimica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Roberta McKean-Cowdin
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Harald Grallert
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - E-Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Josee Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Woon-Puay Koh
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Colin N A Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, University of Dundee, Dundee, UK
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London NorthWest Healthcare NHS Trust, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | - Simin Liu
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
- Center for Global Cardiometabolic Health, Brown University, Providence, RI, USA
- Department of Medicine, Brown University Alpert School of Medicine, Providence, RI, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Danish Saleheen
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Cardiology, Columbia University Irving Medical Center, New York, NY, USA
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Juyoung Lee
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Korea
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Korea
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Kari Stefansson
- deCODE Genetics, Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Emma Ahlqvist
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Mark O Goodarzi
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Computational Medicine, Berlin Institute of Health at Charité-Universitätsmedizin, Berlin, Germany
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Mindich Child Health and Development Institute, Ichan School of Medicine at Mount Sinai, New York, NY, USA
| | - Jose C Florez
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Daniel J Rader
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Division of Translational Medicine and Therapeutics, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Marylyn D Ritchie
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Center for Precision Medicine, University of Pennsylvania - Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sebastian Zöllner
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Nicholas A Marston
- TIMI Study Group, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian T Ruff
- TIMI Study Group, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Sarah Finer
- Institute for Population Health Sciences, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Joshua C Denny
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Toranomon Hospital, Tokyo, Japan
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London NorthWest Healthcare NHS Trust, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Jennifer E Below
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Philip S Tsao
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - James B Meigs
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Cassandra N Spracklen
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA
| | - Josep M Mercader
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Marijana Vujkovic
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Benjamin F Voight
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, UK.
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
- TUM School of Medicine and Health, Technical University of Munich and Klinikum Rechts der Isar, Munich, Germany.
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23
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Morrow AJ, Sykes R, Saleh M, Zahra B, MacIntosh A, Kamdar A, Bagot C, Bayes HK, Blyth KG, Bulluck H, Carrick D, Church C, Corcoran D, Findlay I, Gibson VB, Gillespie L, Grieve D, Barrientos PH, Ho A, Lang NN, Lowe DJ, Lennie V, Macfarlane PW, Mayne KJ, Mark PB, McConnachie A, McGeoch R, Nordin S, Payne A, Rankin AJ, Robertson K, Ryan N, Roditi G, Sattar N, Stobo D, Allwood-Spiers S, Touyz RM, Veldtman G, Weeden S, Weir R, Watkins S, Welsh P, Mangion K, Berry C. Socioeconomic deprivation and illness trajectory in the Scottish population after COVID-19 hospitalization. Commun Med (Lond) 2024; 4:32. [PMID: 38418616 PMCID: PMC10901805 DOI: 10.1038/s43856-024-00455-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 02/07/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND The associations between deprivation and illness trajectory after hospitalisation for coronavirus disease-19 (COVID-19) are uncertain. METHODS A prospective, multicentre cohort study was conducted on post-COVID-19 patients, enrolled either in-hospital or shortly post-discharge. Two evaluations were carried out: an initial assessment and a follow-up at 28-60 days post-discharge. The study encompassed research blood tests, patient-reported outcome measures, and multisystem imaging (including chest computed tomography (CT) with pulmonary and coronary angiography, cardiovascular and renal magnetic resonance imaging). Primary and secondary outcomes were analysed in relation to socioeconomic status, using the Scottish Index of Multiple Deprivation (SIMD). The EQ-5D-5L, Brief Illness Perception Questionnaire (BIPQ), Patient Health Questionnaire-4 (PHQ-4) for Anxiety and Depression, and the Duke Activity Status Index (DASI) were used to assess health status. RESULTS Of the 252 enrolled patients (mean age 55.0 ± 12.0 years; 40% female; 23% with diabetes), deprivation status was linked with increased BMI and diabetes prevalence. 186 (74%) returned for the follow-up. Within this group, findings indicated associations between deprivation and lung abnormalities (p = 0.0085), coronary artery disease (p = 0.0128), and renal inflammation (p = 0.0421). Furthermore, patients with higher deprivation exhibited worse scores in health-related quality of life (EQ-5D-5L, p = 0.0084), illness perception (BIPQ, p = 0.0004), anxiety and depression levels (PHQ-4, p = 0.0038), and diminished physical activity (DASI, p = 0.002). At the 3-month mark, those with greater deprivation showed a higher frequency of referrals to secondary care due to ongoing COVID-19 symptoms (p = 0.0438). However, clinical outcomes were not influenced by deprivation. CONCLUSIONS In a post-hospital COVID-19 population, socioeconomic deprivation was associated with impaired health status and secondary care episodes. Deprivation influences illness trajectory after COVID-19.
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Affiliation(s)
- Andrew J Morrow
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Department of Cardiology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Robert Sykes
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Department of Cardiology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Merna Saleh
- Department of Cardiology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Baryab Zahra
- Department of Cardiology, Queen Elizabeth University Hospital, Glasgow, UK
| | | | - Anna Kamdar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Catherine Bagot
- Department of Haemostasis and Thrombosis, Glasgow Royal Infirmary, Glasgow, UK
| | - Hannah K Bayes
- Department of Respiratory Medicine, Glasgow Royal Infirmary, Glasgow, UK
| | - Kevin G Blyth
- Department of Respiratory Medicine, Queen Elizabeth University Hospital, Glasgow, UK
- Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
| | | | - David Carrick
- Department of Cardiology, University Hospital Hairmyres, East Kilbride, UK
| | - Colin Church
- Department of Respiratory Medicine, Queen Elizabeth University Hospital, Glasgow, UK
- Regional Heart and Lung Centre, NHS Golden Jubilee, Clydebank, UK
| | - David Corcoran
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Department of Cardiology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Iain Findlay
- Department of Cardiology, Royal Alexandra Hospital, Paisley, UK
| | - Vivienne B Gibson
- Department of Haemostasis and Thrombosis, Glasgow Royal Infirmary, Glasgow, UK
| | - Lynsey Gillespie
- Project Management Unit, Glasgow Clinical Research Facility, Greater Glasgow and Clyde Health Board, Glasgow, UK
| | - Douglas Grieve
- Department of Respiratory Medicine, Royal Alexandra Hospital, Glasgow, UK
| | | | - Antonia Ho
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Ninian N Lang
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Department of Cardiology, Queen Elizabeth University Hospital, Glasgow, UK
| | - David J Lowe
- Department of Emergency Medicine, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde Health Board, Glasgow, UK
| | - Vera Lennie
- Department of Cardiology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Peter W Macfarlane
- Electrocardiology Core Laboratory, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Kaitlin J Mayne
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde Health Board, Glasgow, UK
| | - Patrick B Mark
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde Health Board, Glasgow, UK
| | - Alex McConnachie
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Ross McGeoch
- Regional Heart and Lung Centre, NHS Golden Jubilee, Clydebank, UK
| | - Sabrina Nordin
- Department of Cardiology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Alexander Payne
- Department of Cardiology, University Hospital Crosshouse, Kilmarnock, UK
| | - Alastair J Rankin
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Keith Robertson
- Department of Cardiology, Royal Alexandra Hospital, Paisley, UK
| | - Nicola Ryan
- Department of Cardiology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Giles Roditi
- Department of Radiology, NHS Greater Glasgow and Clyde Health Board, Glasgow, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - David Stobo
- Department of Radiology, NHS Greater Glasgow and Clyde Health Board, Glasgow, UK
| | | | - Rhian M Touyz
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Gruschen Veldtman
- Scottish Adult Congenital Cardiac Service, NHS Golden Jubilee, Clydebank, UK
| | - Sarah Weeden
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Robin Weir
- Regional Heart and Lung Centre, NHS Golden Jubilee, Clydebank, UK
| | - Stuart Watkins
- Department of Cardiology, Royal Alexandra Hospital, Paisley, UK
| | - Paul Welsh
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Kenneth Mangion
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Department of Cardiology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Colin Berry
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
- Department of Cardiology, Queen Elizabeth University Hospital, Glasgow, UK.
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van der Spoel E, van Vliet NA, Poortvliet RKE, Du Puy RS, den Elzen WPJ, Quinn TJ, Stott DJ, Sattar N, Kearney PM, Blum MR, Alwan H, Rodondi N, Collet TH, Westendorp RGJ, Ballieux BE, Jukema JW, Dekkers OM, Gussekloo J, Mooijaart SP, van Heemst D. Incidence and Determinants of Spontaneous Normalization of Subclinical Hypothyroidism in Older Adults. J Clin Endocrinol Metab 2024; 109:e1167-e1174. [PMID: 37862463 PMCID: PMC10876405 DOI: 10.1210/clinem/dgad623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/29/2023] [Accepted: 10/18/2023] [Indexed: 10/22/2023]
Abstract
CONTEXT With age, the prevalence of subclinical hypothyroidism rises. However, incidence and determinants of spontaneous normalization remain largely unknown. OBJECTIVE To investigate incidence and determinants of spontaneous normalization of TSH levels in older adults with subclinical hypothyroidism. DESIGN Pooled data were used from the (1) pretrial population and (2) in-trial placebo group from 2 randomized, double-blind, placebo-controlled trials (Thyroid Hormone Replacement for Untreated Older Adults With Subclinical Hypothyroidism Trial and Institute for Evidence-Based Medicine in Old Age thyroid 80-plus thyroid trial). SETTING Community-dwelling 65+ adults with subclinical hypothyroidism from the Netherlands, Switzerland, Ireland, and the United Kingdom. PARTICIPANTS The pretrial population (N = 2335) consisted of older adults with biochemical subclinical hypothyroidism, defined as ≥1 elevated TSH measurement (≥4.60 mIU/L) and a free T4 within the laboratory-specific reference range. Individuals with persistent subclinical hypothyroidism, defined as ≥2 elevated TSH measurements ≥3 months apart, were randomized to levothyroxine/placebo, of which the in-trial placebo group (N = 361) was included. MAIN OUTCOME MEASURES Incidence of spontaneous normalization of TSH levels and associations between participant characteristics and normalization. RESULTS In the pretrial phase, TSH levels normalized in 60.8% of participants in a median follow-up of 1 year. In the in-trial phase, levels normalized in 39.9% of participants after 1 year of follow-up. Younger age, female sex, lower initial TSH level, higher initial free T4 level, absence of thyroid peroxidase antibodies, and a follow-up measurement in summer were independent determinants for normalization. CONCLUSION Because TSH levels spontaneously normalized in a large proportion of older adults with subclinical hypothyroidism (also after confirmation by repeat measurement), a third measurement may be recommended before considering treatment. TRIAL REGISTRATION ClinicalTrials.gov, NCT01660126 and Netherlands Trial Register, NTR3851.
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Affiliation(s)
- Evie van der Spoel
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Nicolien A van Vliet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Rosalinde K E Poortvliet
- Department of Public Health and Primary Care, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Robert S Du Puy
- Department of Public Health and Primary Care, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Wendy P J den Elzen
- Amsterdam UMC, University of Amsterdam, Department of Clinical Chemistry, Amsterdam Public Health Research Institute, 1081 HV Amsterdam, The Netherlands
| | - Terence J Quinn
- Department of Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G4 0SF, UK
| | - David J Stott
- Department of Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G4 0SF, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK
| | - Patricia M Kearney
- School of Public Health, University College Cork, Cork T12 K8AF, Ireland
| | - Manuel R Blum
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, 3012 Bern, Switzerland
| | - Heba Alwan
- Institute of Primary Health Care (BIHAM), University of Bern, 3012 Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Mittelstrasse 43, 3012 Bern, Switzerland
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM), University of Bern, 3012 Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Mittelstrasse 43, 3012 Bern, Switzerland
| | - Tinh-Hai Collet
- Service of Endocrinology, Diabetes, Nutrition and Therapeutic Education, Department of Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland
- Diabetes Centre, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
| | - Rudi G J Westendorp
- Department of Public Health, University of Copenhagen, 1353 Copenhagen, Denmark
- Center for Healthy Aging, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Bart E Ballieux
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Netherlands Heart Institute, 3511 EP Utrecht, The Netherlands
| | - Olaf M Dekkers
- Department of Internal Medicine, Section of Endocrinology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Department Clinical Epidemiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Jacobijn Gussekloo
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Simon P Mooijaart
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
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25
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Wu R, Williams C, Zhou J, Schlackow I, Emberson J, Reith C, Keech A, Robson J, Armitage J, Gray A, Simes J, Baigent C, Mihaylova B, Armitage J, Baigent C, Barnes E, Blackwell L, Collins R, Davies K, Emberson J, Fulcher J, Halls H, Herrington WG, Holland L, Keech A, Kirby A, Mihaylova B, O'Connell R, Preiss D, Reith C, Simes J, Wilson K, Blazing M, Braunwald E, Lemos JD, Murphy S, Pedersen TR, Pfeffer M, White H, Wiviott S, Clearfield M, Downs JR, Gotto A, Weis S, Fellström B, Holdaas H, Jardine A, Pedersen TR, Gordon D, Davis B, Furberg C, Grimm R, Pressel S, Probstfield JL, Rahman M, Simpson L, Koren M, Dahlöf B, Gupta A, Poulter N, Sever P, Wedel H, Knopp RH, Cobbe S, Fellström B, Holdaas H, Jardine A, Schmieder R, Zannad F, Betteridge DJ, Colhoun HM, Durrington PN, Fuller J, Hitman GA, Neil A, Braunwald E, Davis B, Hawkins CM, Moyé L, Pfeffer M, Sacks F, Kjekshus J, Wedel H, Wikstrand J, Wanner C, Krane V, Franzosi MG, Latini R, Lucci D, Maggioni A, Marchioli R, Nicolis EB, Tavazzi L, Tognoni G, Bosch J, Lonn E, Yusuf S, Armitage J, Bowman L, Collins R, Keech A, Landray M, Parish S, Peto R, Sleight P, Kastelein JJ, Pedersen TR, Glynn R, Gotto A, Kastelein JJ, Koenig W, MacFadyen J, Ridker PM, Keech A, MacMahon S, Marschner I, Tonkin A, Shaw J, Simes J, White H, Serruys PW, Knatterud G, Blauw GJ, Cobbe S, Ford I, Macfarlane P, Packard C, Sattar N, Shepherd J, Trompet S, Braunwald E, Cannon CP, Murphy S, Collins R, Armitage J, Bowman L, Bulbulia R, Haynes R, Parish S, Peto R, Sleight P, Amarenco P, Welch KM, Kjekshus J, Pedersen TR, Wilhelmsen L, Barter P, Gotto A, LaRosa J, Kastelein JJ, Shepherd J, Cobbe S, Ford I, Kean S, Macfarlane P, Packard C, Roberston M, Sattar N, Shepherd J, Young R, Arashi H, Clarke R, Flather M, Goto S, Goldbourt U, Hopewell J, Hovingh GK, Kitas G, Newman C, Sabatine MS, Schwartz GG, Smeeth L, Tobert J, Varigos J, Yamamguchi J. Long-term cardiovascular risks and the impact of statin treatment on socioeconomic inequalities: a microsimulation model. Br J Gen Pract 2024; 74:BJGP.2023.0198. [PMID: 38373851 PMCID: PMC10904120 DOI: 10.3399/bjgp.2023.0198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 09/19/2023] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND UK cardiovascular disease (CVD) incidence and mortality have declined in recent decades but socioeconomic inequalities persist. AIM To present a new CVD model, and project health outcomes and the impact of guideline-recommended statin treatment across quintiles of socioeconomic deprivation in the UK. DESIGN AND SETTING A lifetime microsimulation model was developed using 117 896 participants in 16 statin trials, 501 854 UK Biobank (UKB) participants, and quality-of-life data from national health surveys. METHOD A CVD microsimulation model was developed using risk equations for myocardial infarction, stroke, coronary revascularisation, cancer, and vascular and non-vascular death, estimated using trial data. The authors calibrated and further developed this model in the UKB cohort, including further characteristics and a diabetes risk equation, and validated the model in UKB and Whitehall II cohorts. The model was used to predict CVD incidence, life expectancy, quality-adjusted life years (QALYs), and the impact of UK guideline-recommended statin treatment across socioeconomic deprivation quintiles. RESULTS Age, sex, socioeconomic deprivation, smoking, hypertension, diabetes, and cardiovascular events were key CVD risk determinants. Model-predicted event rates corresponded well to observed rates across participant categories. The model projected strong gradients in remaining life expectancy, with 4-5-year (5-8 QALYs) gaps between the least and most socioeconomically deprived quintiles. Guideline-recommended statin treatment was projected to increase QALYs, with larger gains in quintiles of higher deprivation. CONCLUSION The study demonstrated the potential of guideline-recommended statin treatment to reduce socioeconomic inequalities. This CVD model is a novel resource for individualised long-term projections of health outcomes of CVD treatments.
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Affiliation(s)
- Runguo Wu
- Health Economics and Policy Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Claire Williams
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Junwen Zhou
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iryna Schlackow
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jonathan Emberson
- Nuffield Department of Population Health and Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Christina Reith
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anthony Keech
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, Australia
| | - John Robson
- Clinical Effectiveness Group, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Jane Armitage
- Nuffield Department of Population Health and Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Alastair Gray
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - John Simes
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, Australia
| | - Colin Baigent
- Nuffield Department of Population Health and Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Borislava Mihaylova
- Health Economics and Policy Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London; associate professor and senior health economist, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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26
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Sattar N, Deanfield J, Delles C. Impact of intentional weight loss in cardiometabolic disease: what we know about timing of benefits on differing outcomes? Cardiovasc Res 2024; 119:e167-e171. [PMID: 36683167 DOI: 10.1093/cvr/cvac186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Affiliation(s)
- Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, UK
| | - John Deanfield
- Institute of Cardiovascular Science, University College London, UK
| | - Christian Delles
- School of Cardiovascular and Metabolic Health, University of Glasgow, UK
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27
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Welsh P, Kimenai DM, Shah ASV, Gadd DA, Marioni RE, Woodward M, Sudlow CLM, Campbell A, Cleland JGF, Pellicori P, Hayward C, Mills NL, Sattar N. Multiple Cardiac Biomarkers to Improve Prediction of Cardiovascular Events: Findings from the Generation Scotland Scottish Family Health Study. Clin Chem 2024; 70:403-413. [PMID: 38069915 DOI: 10.1093/clinchem/hvad205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 10/27/2023] [Indexed: 01/04/2024]
Abstract
BACKGROUND Many studies have investigated whether single cardiac biomarkers improve cardiovascular risk prediction for primary prevention but whether a combined approach could further improve risk prediction is unclear. We aimed to test a sex-specific, combined cardiac biomarker approach for cardiovascular risk prediction. METHODS In the Generation Scotland Scottish Family Health Study, N-terminal pro-B-type natriuretic peptide (NT-proBNP), growth differentiation factor-15 (GDF-15), cardiac troponin I (cTnI), cardiac troponin T (cTnT), and C-reactive protein (CRP) were measured in stored serum using automated immunoassays. Sex-specific Cox models that included SCORE2 risk factors evaluated addition of single and combined biomarkers for prediction of major adverse cardiovascular events (MACE). Combined biomarker models were compared to a baseline model that included SCORE2 risk factors. RESULTS The study population comprised 18 383 individuals (58.9% women, median age of 48 years [25th-75th percentile, 35-58 years]). During the median follow up of 11.6 (25th-75th percentile, 10.8-13.0) years, MACE occurred in 942 (5.1%) individuals. The greatest increase in discrimination with addition of individual biomarkers to the base model was for women GDF-15 and for men NT-proBNP (change in c-index: + 0.010 for women and +0.005 for men). For women, combined biomarker models that included GDF-15 and NT-proBNP (+0.012) or GDF-15 and cTnI (+0.013), but not CRP or cTnT, further improved discrimination. For men, combined biomarker models that included NT-proBNP and GDF-15 (+0.007), NT-proBNP and cTnI (+0.006), or NT-proBNP and CRP (+0.008), but not cTnT, further improved discrimination. CONCLUSIONS A combined biomarker approach, particularly the use of GDF-15, NT-proBNP and cTnI, further refined cardiovascular risk estimates.
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Affiliation(s)
- Paul Welsh
- School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Dorien M Kimenai
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Anoop S V Shah
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Danni A Gadd
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark Woodward
- The George Institute for Global Health, School of Public Health, Imperial College London, London, United Kingdom
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Cathie L M Sudlow
- British Heart Foundation Data Science Centre, Health Data Research UK, London, United Kingdom
- Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - John G F Cleland
- School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Pierpaolo Pellicori
- School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Nicholas L Mills
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
- Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Naveed Sattar
- School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, United Kingdom
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28
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Welsh P, Al Zabiby A, Byrne H, Benbow HR, Itani T, Farries G, Costa-Scharplatz M, Ferber P, Martin L, Brown R, Fonseca AF, Sattar N. Elevated lipoprotein(a) increases risk of subsequent major adverse cardiovascular events (MACE) and coronary revascularisation in incident ASCVD patients: A cohort study from the UK Biobank. Atherosclerosis 2024; 389:117437. [PMID: 38219651 DOI: 10.1016/j.atherosclerosis.2023.117437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND AND AIMS Elevated lipoprotein(a) [Lp(a)] is a genetic driver for atherosclerotic cardiovascular disease (ASCVD). We aimed to provide novel insights into the associated risk of elevated versus normal Lp(a) levels on major adverse cardiovascular events (MACE) in an incident ASCVD cohort. METHODS This was an observational cohort study of incident ASCVD patients. MACE counts and incidence rates (IRs) per 100-person-years were reported for patients with normal (<65 nmol/L) and elevated (>150 nmol/L) Lp(a) within the first year after incident ASCVD diagnosis and overall follow-up. Cox proportional hazard models quantified the risk of MACE associated with a 100 nmol/L increase in Lp(a). RESULTS The study cohort included 32,537 incident ASCVD patients; 5204 with elevated and 22,257 with normal Lp(a). Of those with elevated Lp(a), 41.2% had a subsequent MACE, versus 35.61% with normal Lp(a). Within the first year of follow-up, the IRs of composite MACE and coronary revascularisation were significantly higher (p < 0.001) in patients with elevated versus normal Lp(a) (IR difference 6.79 and 4.66). This trend was also observed in the overall follow-up (median 4.7 years). Using time to first subsequent MACE, a 100 nmol/L increase in Lp(a) was associated with an 8.0% increased risk of composite MACE, and 18.6% increased risk of coronary revascularisation during the overall follow-up period. CONCLUSIONS The association of elevated Lp(a) with increased risk of subsequent MACE and coronary revascularisation highlights a population who may benefit from earlier and more targeted intervention for cardiovascular risk including Lp(a), particularly within the first year after ASCVD diagnosis. Proactive Lp(a) testing as part of routine clinical practice can help identify and better manage these higher-risk individuals.
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Affiliation(s)
- Paul Welsh
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
| | | | | | | | | | | | | | | | | | - Rosemary Brown
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | | | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
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Chybowska AD, Gadd DA, Cheng Y, Bernabeu E, Campbell A, Walker RM, McIntosh AM, Wrobel N, Murphy L, Welsh P, Sattar N, Price JF, McCartney DL, Evans KL, Marioni RE. Epigenetic Contributions to Clinical Risk Prediction of Cardiovascular Disease. Circ Genom Precis Med 2024; 17:e004265. [PMID: 38288591 PMCID: PMC10876178 DOI: 10.1161/circgen.123.004265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 11/30/2023] [Indexed: 02/21/2024]
Abstract
BACKGROUND Cardiovascular disease (CVD) is among the leading causes of death worldwide. The discovery of new omics biomarkers could help to improve risk stratification algorithms and expand our understanding of molecular pathways contributing to the disease. Here, ASSIGN-a cardiovascular risk prediction tool recommended for use in Scotland-was examined in tandem with epigenetic and proteomic features in risk prediction models in ≥12 657 participants from the Generation Scotland cohort. METHODS Previously generated DNA methylation-derived epigenetic scores (EpiScores) for 109 protein levels were considered, in addition to both measured levels and an EpiScore for cTnI (cardiac troponin I). The associations between individual protein EpiScores and the CVD risk were examined using Cox regression (ncases≥1274; ncontrols≥11 383) and visualized in a tailored R application. Splitting the cohort into independent training (n=6880) and test (n=3659) subsets, a composite CVD EpiScore was then developed. RESULTS Sixty-five protein EpiScores were associated with incident CVD independently of ASSIGN and the measured concentration of cTnI (P<0.05), over a follow-up of up to 16 years of electronic health record linkage. The most significant EpiScores were for proteins involved in metabolic, immune response, and tissue development/regeneration pathways. A composite CVD EpiScore (based on 45 protein EpiScores) was a significant predictor of CVD risk independent of ASSIGN and the concentration of cTnI (hazard ratio, 1.32; P=3.7×10-3; 0.3% increase in C-statistic). CONCLUSIONS EpiScores for circulating protein levels are associated with CVD risk independent of traditional risk factors and may increase our understanding of the etiology of the disease.
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Affiliation(s)
- Aleksandra D Chybowska
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer (A.D.C., D.A.G., Y.C., E.B., A.C., D.L.M., K.L.E., R.E.M.), The University of Edinburgh, United Kingdom
| | - Danni A Gadd
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer (A.D.C., D.A.G., Y.C., E.B., A.C., D.L.M., K.L.E., R.E.M.), The University of Edinburgh, United Kingdom
| | - Yipeng Cheng
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer (A.D.C., D.A.G., Y.C., E.B., A.C., D.L.M., K.L.E., R.E.M.), The University of Edinburgh, United Kingdom
| | - Elena Bernabeu
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer (A.D.C., D.A.G., Y.C., E.B., A.C., D.L.M., K.L.E., R.E.M.), The University of Edinburgh, United Kingdom
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer (A.D.C., D.A.G., Y.C., E.B., A.C., D.L.M., K.L.E., R.E.M.), The University of Edinburgh, United Kingdom
| | - Rosie M Walker
- School of Psychology, University of Exeter, United Kingdom (R.M.W.)
| | - Andrew M McIntosh
- Division of Psychiatry, Royal Edinburgh Hospital (A.M.M.), The University of Edinburgh, United Kingdom
| | - Nicola Wrobel
- Edinburgh Clinical Research Facility, Western General Hospital (N.W., L.M.), The University of Edinburgh, United Kingdom
| | - Lee Murphy
- Edinburgh Clinical Research Facility, Western General Hospital (N.W., L.M.), The University of Edinburgh, United Kingdom
| | - Paul Welsh
- Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, United Kingdom (P.W., N.S.)
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, United Kingdom (P.W., N.S.)
| | - Jackie F Price
- Usher Institute, Old Medical School (J.F.P.), The University of Edinburgh, United Kingdom
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer (A.D.C., D.A.G., Y.C., E.B., A.C., D.L.M., K.L.E., R.E.M.), The University of Edinburgh, United Kingdom
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer (A.D.C., D.A.G., Y.C., E.B., A.C., D.L.M., K.L.E., R.E.M.), The University of Edinburgh, United Kingdom
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer (A.D.C., D.A.G., Y.C., E.B., A.C., D.L.M., K.L.E., R.E.M.), The University of Edinburgh, United Kingdom
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Bull CJ, Hazelwood E, Legge DN, Corbin LJ, Richardson TG, Lee M, Yarmolinsky J, Smith-Byrne K, Hughes DA, Johansson M, Peters U, Berndt SI, Brenner H, Burnett-Hartman A, Cheng I, Kweon SS, Le Marchand L, Li L, Newcomb PA, Pearlman R, McConnachie A, Welsh P, Taylor R, Lean MEJ, Sattar N, Murphy N, Gunter MJ, Timpson NJ, Vincent EE. Impact of weight loss on cancer-related proteins in serum: results from a cluster randomised controlled trial of individuals with type 2 diabetes. EBioMedicine 2024; 100:104977. [PMID: 38290287 PMCID: PMC10844806 DOI: 10.1016/j.ebiom.2024.104977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 01/03/2024] [Accepted: 01/06/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Type 2 diabetes is associated with higher risk of several cancer types. However, the biological intermediates driving this relationship are not fully understood. As novel interventions for treating and managing type 2 diabetes become increasingly available, whether they also disrupt the pathways leading to increased cancer risk is currently unknown. We investigated the effect of a type 2 diabetes intervention, in the form of intentional weight loss, on circulating proteins associated with cancer risk to gain insight into potential mechanisms linking type 2 diabetes and adiposity with cancer development. METHODS Fasting serum samples from participants with diabetes enrolled in the Diabetes Remission Clinical Trial (DiRECT) receiving the Counterweight-Plus weight-loss programme (intervention, N = 117, mean weight-loss 10 kg, 46% diabetes remission) or best-practice care by guidelines (control, N = 143, mean weight-loss 1 kg, 4% diabetes remission) were subject to proteomic analysis using the Olink Oncology-II platform (48% of participants were female; 52% male). To identify proteins which may be altered by the weight-loss intervention, the difference in protein levels between groups at baseline and 1 year was examined using linear regression. Mendelian randomization (MR) was performed to extend these results to evaluate cancer risk and elucidate possible biological mechanisms linking type 2 diabetes and cancer development. MR analyses were conducted using independent datasets, including large cancer meta-analyses, UK Biobank, and FinnGen, to estimate potential causal relationships between proteins modified during intentional weight loss and the risk of colorectal, breast, endometrial, gallbladder, liver, and pancreatic cancers. FINDINGS Nine proteins were modified by the intervention: glycoprotein Nmb; furin; Wnt inhibitory factor 1; toll-like receptor 3; pancreatic prohormone; erb-b2 receptor tyrosine kinase 2; hepatocyte growth factor; endothelial cell specific molecule 1 and Ret proto-oncogene (Holm corrected P-value <0.05). Mendelian randomization analyses indicated a causal relationship between predicted circulating furin and glycoprotein Nmb on breast cancer risk (odds ratio (OR) = 0.81, 95% confidence interval (CI) = 0.67-0.99, P-value = 0.03; and OR = 0.88, 95% CI = 0.78-0.99, P-value = 0.04 respectively), though these results were not supported in sensitivity analyses examining violations of MR assumptions. INTERPRETATION Intentional weight loss among individuals with recently diagnosed diabetes may modify levels of cancer-related proteins in serum. Further evaluation of the proteins identified in this analysis could reveal molecular pathways that mediate the effect of adiposity and type 2 diabetes on cancer risk. FUNDING The main sources of funding for this work were Diabetes UK, Cancer Research UK, World Cancer Research Fund, and Wellcome.
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Affiliation(s)
- Caroline J Bull
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; School of Translational Health Sciences, Dorothy Hodgkin Building, University of Bristol, Bristol, UK
| | - Emma Hazelwood
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Danny N Legge
- School of Translational Health Sciences, Dorothy Hodgkin Building, University of Bristol, Bristol, UK
| | - Laura J Corbin
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tom G Richardson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Lee
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, WHO, Lyon, France
| | - James Yarmolinsky
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, UK
| | - David A Hughes
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Mattias Johansson
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, WHO, Lyon, France
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea; Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | | | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; School of Public Health, University of Washington, Seattle, WA, USA
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Alex McConnachie
- Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Paul Welsh
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Roy Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Mike E J Lean
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Neil Murphy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, WHO, Lyon, France
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, WHO, Lyon, France; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emma E Vincent
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; School of Translational Health Sciences, Dorothy Hodgkin Building, University of Bristol, Bristol, UK.
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Lee MMY, Lean MEJ, Sattar N, Petrie MC. Appetite and its Regulation: Are there Palatable Interventions for Heart Failure? Curr Heart Fail Rep 2024; 21:1-4. [PMID: 38133864 PMCID: PMC10827951 DOI: 10.1007/s11897-023-00637-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/13/2023] [Indexed: 12/23/2023]
Abstract
PURPOSE OF REVIEW Obesity is a major driver of heart failure (HF) incidence, and aggravates its pathophysiology. We summarized key reported and ongoing randomized clinical trials of appetite regulation and/or dietary energy restriction in individuals with HF. RECENT FINDINGS Weight loss can be achieved by structured supervised diet programs with behavioural change, medications, or surgery. The new glucagon-like peptide-1 receptor agonists alone or in combination with other agents (e.g., glucose-dependent insulinotropic polypeptide and glucagon receptor agonists or amylin analogues) potently and sustainably reduce appetite, and, taken together with dietary advice, can produce substantial, life-changing, weight loss approaching that achieved by surgery. To date, data from the STEP-HFpEF trial show meaningful improvements in health status (Kansas City Cardiomyopathy Questionnaire). Effective weight management could relieve several drivers of HF, to complement the existing treatments for HF with both reduced and preserved ejection fraction. Further trials of weight loss interventions will provide more definitive evidence to understand their effects on clinical events in patients with HF.
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Affiliation(s)
- Matthew M Y Lee
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
| | - Michael E J Lean
- Human Nutrition, School of Medicine, Dentistry & Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Mark C Petrie
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
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Ferreira JP, Butler J, Anker SD, Januzzi JL, Panova-Noeva M, Reese-Petersen AL, Sattar N, Schueler E, Pocock SJ, Filippatos G, Packer M, Sumin M, Zannad F. Effects of empagliflozin on collagen biomarkers in patients with heart failure: Findings from the EMPEROR trials. Eur J Heart Fail 2024; 26:274-284. [PMID: 38037709 DOI: 10.1002/ejhf.3101] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/09/2023] [Accepted: 11/27/2023] [Indexed: 12/02/2023] Open
Abstract
AIMS Extracellular matrix remodelling is one of the key pathways involved in heart failure (HF) progression. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) may have a role in attenuating myocardial fibrosis. The impact of SGLT2i on blood markers of collagen turnover in humans is not fully elucidated. This study aimed to investigate the effect of empagliflozin on serum markers of collagen turnover in patients enrolled in the EMPEROR-Preserved and EMPEROR-Reduced trials. METHODS AND RESULTS Overall, 1084 patients (545 in empagliflozin and 539 in placebo) were included in the analysis. Procollagen type I carboxy-terminal propeptide (PICP), a fragment of N-terminal type III collagen (PRO-C3), procollagen type I amino-terminal peptide (PINP), a fragment of C-terminal type VIa3 collagen (PRO-C6), a fragment of type I collagen (C1M), and a fragment of type III collagen (C3M) were measured in serum at baseline, 12 and 52 weeks. A mixed model repeated measurements model was used to evaluate the effect of empagliflozin versus placebo on the analysed biomarkers. Higher baseline PICP, PRO-C6 and PINP levels were associated with older age, a more severe HF presentation, higher levels of natriuretic peptides and high-sensitivity troponin T, and the presence of comorbid conditions such as chronic kidney disease and atrial fibrillation. Higher PICP levels were associated with the occurrence of the study primary endpoint (a composite of HF hospitalization or cardiovascular death), and PRO-C6 and PINP were associated with the occurrence of sustained worsening of kidney function. On the other hand, PRO-C3, C1M, and C3M were not associated with worse HF severity or study outcomes. Compared to placebo, empagliflozin reduced PICP at week 12 by 5% and at week 52 by 8% (week 12: geometric mean ratio = 0.95, 95% confidence interval [CI] 0.91-0.99, p = 0.012; week 52: geometric mean ratio = 0.92, 95% CI 0.88-0.97, p = 0.003). Additionally, empagliflozin reduced PRO-C3 at week 52 by 7% (week 12: geometric mean ratio = 0.98, 95% CI 0.95-1.02, p = 0.42; week 52: geometric mean ratio = 0.93, 95% CI 0.89-0.98, p = 0.003), without impact on other collagen markers. CONCLUSION Our observations are consistent with experimental observations that empagliflozin down-regulates profibrotic signalling. The importance of such an effect for the clinical benefits of SGLT2i in HF remains to be elucidated.
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Affiliation(s)
- João Pedro Ferreira
- Department of Surgery and Physiology, Cardiovascular Research and Development Center (UnIC@RISE), Faculty of Medicine of the University of Porto, Porto, Portugal
- Centre d'Investigations Cliniques Plurithématique 14-33, Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Université de Lorraine, Nancy, France
- Cardiovascular Research and Development Center, Nancy, France
| | - Javed Butler
- Baylor Scott and White Research Institute, Dallas, TX, USA
- Department of Medicine, University of Mississippi School of Medicine, Jackson, MS, USA
| | - Stefan D Anker
- Department of Cardiology (CVK), Berlin Institute of Health Center for Regenerative Therapies (BCRT), German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
- Institute of Heart Diseases, Wrocław Medical University, Wrocław, Poland
| | - James L Januzzi
- Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | | | - Stuart J Pocock
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Gerasimos Filippatos
- National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - Milton Packer
- Baylor University Medical Center, Dallas, TX, USA
- Imperial College, London, UK
| | - Mikhail Sumin
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - Faiez Zannad
- Centre d'Investigations Cliniques Plurithématique 14-33, Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Université de Lorraine, Nancy, France
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Lee MMY, Kondo T, Campbell RT, Petrie MC, Sattar N, Solomon SD, Vaduganathan M, Jhund PS, McMurray JJV. Effects of renin-angiotensin system blockers on outcomes from COVID-19: a systematic review and meta-analysis of randomized controlled trials. Eur Heart J Cardiovasc Pharmacother 2024; 10:68-80. [PMID: 37740450 PMCID: PMC10766905 DOI: 10.1093/ehjcvp/pvad067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 09/18/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND AND AIMS Randomized controlled trials (RCTs) have assessed the effects of renin-angiotensin system (RAS) blockers in adults with coronavirus disease 2019 (COVID-19). This meta-analysis provides estimates of the safety and efficacy of treatment with (vs. without) RAS blockers from these trials. METHODS PubMed, Web of Science, and ClinicalTrials.gov were searched (1 March-12 April 2023). Event/patient numbers were extracted, comparing angiotensin-converting enzyme (ACE) inhibitor/angiotensin-receptor blocker (ARB) treatment with no treatment, for the outcomes: intensive care unit (ICU) admission, mechanical ventilation, vasopressor use, acute kidney injury (AKI), renal replacement therapy (RRT), acute myocardial infarction, stroke/transient ischaemic attack, heart failure, thromboembolic events, and all-cause death. Fixed-effects meta-analysis estimates were pooled. RESULTS Sixteen RCTs including 3492 patients were analysed. Compared with discontinuation of RAS blockers, continuation was not associated with increased risk of ICU [risk ratio (RR) 0.96, 0.66-1.41], ventilation (RR 0.77, 0.55-1.09), vasopressors (RR 0.92, 0.58-1.44), AKI (RR 1.01, 0.40-2.56), RRT (RR 1.01, 0.46-2.21), or thromboembolic events (RR 1.07, 0.36-3.19). RAS blocker initiation was not associated with increased risk of ICU (RR 0.71, 0.47-1.08), ventilation (RR 1.12, 0.91-1.38), AKI (RR 1.28, 0.89-1.86), RRT (RR 1.66, 0.89-3.12), or thromboembolic events (RR 1.20, 0.06-23.70), although vasopressor use increased (RR 1.27, 1.02-1.57). The RR for all-cause death in the continuation/discontinuation trials was 1.24 (0.80-1.92), and 1.22 (0.96-1.55) in the initiation trials. In patients with severe/critical COVID-19, RAS blocker initiation increased the risk of all-cause death (RR 1.31, 1.01-1.72). CONCLUSION ACE inhibitors and ARBs may be continued in non-severe COVID-19 infection, where indicated. Conversely, initiation of RAS blockers may be harmful in critically ill patients.PROSPERO registration number: CRD42023408926.
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Affiliation(s)
- Matthew M Y Lee
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
| | - Toru Kondo
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Ross T Campbell
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
| | - Mark C Petrie
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
| | - Naveed Sattar
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Pardeep S Jhund
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
| | - John J V McMurray
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK
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Aronne LJ, Sattar N, Horn DB, Bays HE, Wharton S, Lin WY, Ahmad NN, Zhang S, Liao R, Bunck MC, Jouravskaya I, Murphy MA. Continued Treatment With Tirzepatide for Maintenance of Weight Reduction in Adults With Obesity: The SURMOUNT-4 Randomized Clinical Trial. JAMA 2024; 331:38-48. [PMID: 38078870 PMCID: PMC10714284 DOI: 10.1001/jama.2023.24945] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 11/11/2023] [Indexed: 01/03/2024]
Abstract
Importance The effect of continued treatment with tirzepatide on maintaining initial weight reduction is unknown. Objective To assess the effect of tirzepatide, with diet and physical activity, on the maintenance of weight reduction. Design, Setting, and Participants This phase 3, randomized withdrawal clinical trial conducted at 70 sites in 4 countries with a 36-week, open-label tirzepatide lead-in period followed by a 52-week, double-blind, placebo-controlled period included adults with a body mass index greater than or equal to 30 or greater than or equal to 27 and a weight-related complication, excluding diabetes. Interventions Participants (n = 783) enrolled in an open-label lead-in period received once-weekly subcutaneous maximum tolerated dose (10 or 15 mg) of tirzepatide for 36 weeks. At week 36, a total of 670 participants were randomized (1:1) to continue receiving tirzepatide (n = 335) or switch to placebo (n = 335) for 52 weeks. Main Outcomes and Measures The primary end point was the mean percent change in weight from week 36 (randomization) to week 88. Key secondary end points included the proportion of participants at week 88 who maintained at least 80% of the weight loss during the lead-in period. Results Participants (n = 670; mean age, 48 years; 473 [71%] women; mean weight, 107.3 kg) who completed the 36-week lead-in period experienced a mean weight reduction of 20.9%. The mean percent weight change from week 36 to week 88 was -5.5% with tirzepatide vs 14.0% with placebo (difference, -19.4% [95% CI, -21.2% to -17.7%]; P < .001). Overall, 300 participants (89.5%) receiving tirzepatide at 88 weeks maintained at least 80% of the weight loss during the lead-in period compared with 16.6% receiving placebo (P < .001). The overall mean weight reduction from week 0 to 88 was 25.3% for tirzepatide and 9.9% for placebo. The most common adverse events were mostly mild to moderate gastrointestinal events, which occurred more commonly with tirzepatide vs placebo. Conclusions and Relevance In participants with obesity or overweight, withdrawing tirzepatide led to substantial regain of lost weight, whereas continued treatment maintained and augmented initial weight reduction. Trial Registration ClinicalTrials.gov Identifier: NCT04660643.
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Affiliation(s)
- Louis J. Aronne
- Comprehensive Weight Control Center, Division of Endocrinology, Diabetes, and Metabolism, Weill Cornell Medicine, New York, New York
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Deborah B. Horn
- University of Texas Center for Obesity Medicine and Metabolic Performance, Department of Surgery, University of Texas McGovern Medical School, Houston
| | - Harold E. Bays
- Louisville Metabolic and Atherosclerosis Research Center, Louisville, Kentucky
| | - Sean Wharton
- McMaster University, and Wharton Weight Management Clinic, York University, Toronto, Ontario, Canada
| | - Wen-Yuan Lin
- Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
| | | | - Shuyu Zhang
- Eli Lilly and Company, Indianapolis, Indiana
| | - Ran Liao
- Eli Lilly and Company, Indianapolis, Indiana
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Kahn SE, Anderson CAM, Buse JB, Selvin E, Angell SY, Aroda VR, Cheng AYY, Danne T, Echouffo-Tcheugui JB, Fitzpatrick SL, Gadgil MD, Gastaldelli A, Gloyn AL, Green JB, Jastreboff AM, Kanaya AM, Kandula NR, Kovesdy CP, Laiteerapong N, Nadeau KJ, Pettus J, Pop-Busui R, Posey JE, Powe CE, Rebholz CM, Rickels MR, Sattar N, Shaw JE, Sims EK, Utzschneider KM, Vella A, Zhang C. Reflecting on a Year at the Helm of Diabetes Care. Diabetes Care 2024; 47:4-6. [PMID: 38117988 DOI: 10.2337/dci23-0089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Affiliation(s)
- Steven E Kahn
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
| | - Cheryl A M Anderson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA
| | - John B Buse
- Division of Endocrinology, Department of Medicine, University of North Carolina, Chapel Hill, NC
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Sonia Y Angell
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Vanita R Aroda
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Alice Y Y Cheng
- Division of Endocrinology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Thomas Danne
- Diabetes Center and Clinical Research, Children's Hospital Auf der Bult, Hannover Medical School, Hannover, Germany
| | - Justin B Echouffo-Tcheugui
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Stephanie L Fitzpatrick
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY
| | - Meghana D Gadgil
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Amalia Gastaldelli
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Anna L Gloyn
- Division of Endocrinology and Diabetes, Department of Pediatrics and Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Jennifer B Green
- Division of Endocrinology and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Ania M Jastreboff
- Division of Endocrinology and Metabolism, Department of Internal Medicine and Division of Pediatric Endocrinology, Department of Pediatrics, Yale University School of Medicine, New Haven, CT
| | - Alka M Kanaya
- Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Namratha R Kandula
- Division of General Internal Medicine, Department of General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Csaba P Kovesdy
- Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, TN
| | - Neda Laiteerapong
- Section of General Internal Medicine, Department of Medicine, University of Chicago, Chicago, IL
| | - Kristen J Nadeau
- Division of Pediatric Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO
| | - Jeremy Pettus
- Division of Endocrinology and Metabolism, Department of Medicine, University of California San Diego, La Jolla, CA
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Camille E Powe
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Broad Institute, Cambridge, MA
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Michael R Rickels
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland, U.K
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Emily K Sims
- Center for Diabetes and Metabolic Diseases, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN
| | - Kristina M Utzschneider
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
| | - Adrian Vella
- Division of Diabetes, Endocrinology and Metabolism, Mayo Clinic, Rochester, MN
| | - Cuilin Zhang
- Global Center for Asian Women's Health and Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Corbin LJ, Hughes DA, Bull CJ, Vincent EE, Smith ML, McConnachie A, Messow CM, Welsh P, Taylor R, Lean MEJ, Sattar N, Timpson NJ. The metabolomic signature of weight loss and remission in the Diabetes Remission Clinical Trial (DiRECT). Diabetologia 2024; 67:74-87. [PMID: 37878066 PMCID: PMC10709482 DOI: 10.1007/s00125-023-06019-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 08/04/2023] [Indexed: 10/26/2023]
Abstract
AIMS/HYPOTHESIS High-throughput metabolomics technologies in a variety of study designs have demonstrated a consistent metabolomic signature of overweight and type 2 diabetes. However, the extent to which these metabolomic patterns can be reversed with weight loss and diabetes remission has been weakly investigated. We aimed to characterise the metabolomic consequences of a weight-loss intervention in individuals with type 2 diabetes. METHODS We analysed 574 fasted serum samples collected within an existing RCT (the Diabetes Remission Clinical Trial [DiRECT]) (N=298). In the trial, participating primary care practices were randomly assigned (1:1) to provide either a weight management programme (intervention) or best-practice care by guidelines (control) treatment to individuals with type 2 diabetes. Here, metabolomics analysis was performed on samples collected at baseline and 12 months using both untargeted MS and targeted 1H-NMR spectroscopy. Multivariable regression models were fitted to evaluate the effect of the intervention on metabolite levels. RESULTS Decreases in branched-chain amino acids, sugars and LDL triglycerides, and increases in sphingolipids, plasmalogens and metabolites related to fatty acid metabolism were associated with the intervention (Holm-corrected p<0.05). In individuals who lost more than 9 kg between baseline and 12 months, those who achieved diabetes remission saw greater reductions in glucose, fructose and mannose, compared with those who did not achieve remission. CONCLUSIONS/INTERPRETATION We have characterised the metabolomic effects of an integrated weight management programme previously shown to deliver weight loss and diabetes remission. A large proportion of the metabolome appears to be modifiable. Patterns of change were largely and strikingly opposite to perturbances previously documented with the development of type 2 diabetes. DATA AVAILABILITY The data used for analysis are available on a research data repository ( https://researchdata.gla.ac.uk/ ) with access given to researchers subject to appropriate data sharing agreements. Metabolite data preparation, data pre-processing, statistical analyses and figure generation were performed in R Studio v.1.0.143 using R v.4.0.2. The R code for this study has been made publicly available on GitHub at: https://github.com/lauracorbin/metabolomics_of_direct .
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Affiliation(s)
- Laura J Corbin
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - David A Hughes
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Caroline J Bull
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emma E Vincent
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- School of Translational Health Sciences, Dorothy Hodgkin Building, University of Bristol, Bristol, UK
| | - Madeleine L Smith
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Alex McConnachie
- Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Claudia-Martina Messow
- Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Paul Welsh
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Roy Taylor
- Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Michael E J Lean
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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37
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Sofianopoulou E, Kaptoge SK, Afzal S, Jiang T, Gill D, Gundersen TE, Bolton TR, Allara E, Arnold MG, Mason AM, Chung R, Pennells LAM, Shi F, Sun L, Willeit P, Forouhi NG, Langenberg C, Sharp SJ, Panico S, Engström G, Melander O, Tong TYN, Perez-Cornago A, Norberg M, Johansson I, Katzke V, Srour B, Sánchez MJ, Redondo-Sánchez D, Olsen A, Dahm CC, Overvad K, Brustad M, Skeie G, Moreno-Iribas C, Onland-Moret NC, van der Schouw YT, Tsilidis KK, Heath AK, Agnoli C, Krogh V, de Boer IH, Kobylecki CJ, Çolak Y, Zittermann A, Sundström J, Welsh P, Weiderpass E, Aglago EK, Ferrari P, Clarke R, Boutron MC, Severi G, MacDonald C, Providencia R, Masala G, Zamora-Ros R, Boer J, Verschuren WMM, Cawthon P, Schierbeck LL, Cooper C, Schulze MB, Bergmann MM, Hannemann A, Kiechl S, Brenner H, van Schoor NM, Albertorio JR, Sacerdote C, Linneberg A, Kårhus LL, Huerta JM, Imaz L, Joergensen C, Ben-Shlomo Y, Lundqvist A, Gallacher J, Sattar N, Wood AM, Wareham NJ, Nordestgaard BG, Di Angelantonio E, Danesh J, Butterworth AS, Burgess S. Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomisation analyses. Lancet Diabetes Endocrinol 2024; 12:e2-e11. [PMID: 38048800 PMCID: PMC7615586 DOI: 10.1016/s2213-8587(23)00287-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 09/05/2023] [Accepted: 09/27/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Randomised trials of vitamin D supplementation for cardiovascular disease and all-cause mortality have generally reported null findings. However, generalisability of results to individuals with low vitamin D status is unclear. We aimed to characterise dose-response relationships between 25-hydroxyvitamin D (25[OH]D) concentrations and risk of coronary heart disease, stroke, and all-cause mortality in observational and Mendelian randomisation frameworks. METHODS Observational analyses were undertaken using data from 33 prospective studies comprising 500 962 individuals with no known history of coronary heart disease or stroke at baseline. Mendelian randomisation analyses were performed in four population-based cohort studies (UK Biobank, EPIC-CVD, and two Copenhagen population-based studies) comprising 386 406 middle-aged individuals of European ancestries, including 33 546 people who developed coronary heart disease, 18 166 people who had a stroke, and 27 885 people who died. Primary outcomes were coronary heart disease, defined as fatal ischaemic heart disease (International Classification of Diseases 10th revision code I20-I25) or non-fatal myocardial infarction (I21-I23); stroke, defined as any cerebrovascular disease (I60-I69); and all-cause mortality. FINDINGS Observational analyses suggested inverse associations between incident coronary heart disease, stroke, and all-cause mortality outcomes with 25(OH)D concentration at low 25(OH)D concentrations. In population-wide genetic analyses, there were no associations of genetically predicted 25(OH)D with coronary heart disease (odds ratio [OR] per 10 nmol/L higher genetically-predicted 25(OH)D concentration 0·98, 95% CI 0·95-1·01), stroke (1·01, [0·97-1·05]), or all-cause mortality (0·99, 0·95-1·02). Null findings were also observed in genetic analyses for cause-specific mortality outcomes, and in stratified genetic analyses for all outcomes at all observed levels of 25(OH)D concentrations. INTERPRETATION Stratified Mendelian randomisation analyses suggest a lack of causal relationship for 25(OH)D concentrations with both cardiovascular and mortality outcomes for individuals at all levels of 25(OH)D. Our findings suggest that substantial reductions in mortality and cardiovascular morbidity due to long-term low-dose vitamin D supplementation are unlikely even if targeted at individuals with low vitamin D status. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health Research, Health Data Research UK, Cancer Research UK, and International Agency for Research on Cancer.
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Affiliation(s)
- Emerging Risk Factors Collaboration/EPIC-CVD/Vitamin D Studies Collaboration
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Vitas Ltd, Oslo, Norway
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
- Dipartimento Di Medicina Clinica E Chirurgia, Federico II University, Italy
- Department of Clinical Sciences Malmö, Lund University, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
- Department of Odontology, Umeå University, Sweden
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- EPIC Granada, Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health. University of Granada. Granada, Spain
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Aarhus University, Denmark
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
- Epidemiology, Prevention and Promotion Health Service, Public Health Institute of Navarra, Spain
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
- School of Medicine, University of Ioannina, Greece
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
- Department of Medicine, University of Washington, USA
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum Nordrhein-Westfalen, Bad Oeynhausen, Ruhr University Bochum, Germany
- Department of Medical Sciences, Uppsala University, Sweden
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- International Agency for Research on Cancer, France
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Oxford, UK
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
- Institute of Health Informatics Research, University College London, London, UK
- Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Italy
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
- Research Institute, California Pacific Medical Center, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
- Cardiology Department, Nordsjælland University Hospital, Hillerød, Denmark
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine Greifswald, Germany
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Netherlands
- Coalition to End Loneliness, USA
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain
- Public Health Division of Bizkaia, Ministry of Health of the Basque Government, Spain
- Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
- Steno Diabetes Center, Copenhagen, Denmark
- Population Health Sciences, University of Bristol, UK
- Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Oxford, Oxford, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- The Alan Turing Institute, UK
- The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, UK
| | - Eleni Sofianopoulou
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Stephen K Kaptoge
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Shoaib Afzal
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
| | - Tao Jiang
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - Thomas R Bolton
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
| | - Elias Allara
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
| | - Matthew G Arnold
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Amy M Mason
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Ryan Chung
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
| | - Lisa AM Pennells
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Fanchao Shi
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Luanluan Sun
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Peter Willeit
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica E Chirurgia, Federico II University, Italy
| | - Gunnar Engström
- Department of Clinical Sciences Malmö, Lund University, Sweden
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Tammy YN Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Margareta Norberg
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | | | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bernard Srour
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - María José Sánchez
- EPIC Granada, Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health. University of Granada. Granada, Spain
| | - Daniel Redondo-Sánchez
- EPIC Granada, Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Aarhus University, Denmark
| | | | - Kim Overvad
- Department of Public Health, Aarhus University, Denmark
| | - Magritt Brustad
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
| | - Conchi Moreno-Iribas
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
- School of Medicine, University of Ioannina, Greece
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
| | - Ian H de Boer
- Department of Medicine, University of Washington, USA
| | - Camilla Jannie Kobylecki
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
| | - Yunus Çolak
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
| | - Armin Zittermann
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum Nordrhein-Westfalen, Bad Oeynhausen, Ruhr University Bochum, Germany
| | | | - Paul Welsh
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | | | | | | | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Oxford, UK
| | - Marie-Christine Boutron
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
| | - Conor MacDonald
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
| | - Rui Providencia
- Institute of Health Informatics Research, University College London, London, UK
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Italy
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Jolanda Boer
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
| | - WM Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
| | - Peggy Cawthon
- Research Institute, California Pacific Medical Center, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | | | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Matthias B Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Germany
| | - Manuela M Bergmann
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Anke Hannemann
- Institute of Clinical Chemistry and Laboratory Medicine, DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine Greifswald, Germany
| | - Stefan Kiechl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Netherlands
| | | | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
| | - Line L Kårhus
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain
| | - Liher Imaz
- Public Health Division of Bizkaia, Ministry of Health of the Basque Government, Spain
- Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | | | | | | | - John Gallacher
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Angela M Wood
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- The Alan Turing Institute, UK
| | | | - Børge G Nordestgaard
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
- The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital
| | - Emanuele Di Angelantonio
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Adam S Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
| | - Stephen Burgess
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, UK
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Ferreira JP, Packer M, Butler J, Filippatos G, Pocock SJ, Januzzi JL, Sattar N, Maldonado SG, Panova-Noeva M, Sumin M, Masson S, Anker SD, Zannad F. Growth differentiation factor-15 and the effect of empagliflozin in heart failure: Findings from the EMPEROR program. Eur J Heart Fail 2024; 26:155-164. [PMID: 37964408 DOI: 10.1002/ejhf.3078] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 10/25/2023] [Accepted: 10/31/2023] [Indexed: 11/16/2023] Open
Abstract
AIMS Growth differentiation factor-15 (GDF-15) is upregulated in part in response to cardiomyocyte stretch and stress, and it exerts a protective role that is mediated by its action to suppress signalling through insulin-like growth factor (IGF) and enhance signalling through adenosine monophosphate-activated protein kinase (AMPK). Sodium-glucose cotransporter 2 (SGLT2) inhibitors improve outcomes in heart failure, which has been experimentally linked to AMPK. This study aimed at evaluating the associations of GDF-15 with baseline characteristics, the prognostic significance of GDF-15, and the effect of empagliflozin on GDF-15 in patients with heart failure with a reduced and preserved ejection fraction. METHODS AND RESULTS Growth differentiation factor-15 was determined in serum samples from the EMPEROR-Reduced and EMPEROR-Preserved trials. Cox regression and mixed models for repeated measures were used to study the association with outcomes and the effect of empagliflozin on GDF-15, respectively. We studied 1124 patients (560 placebo and 564 empagliflozin) with median GDF-15 levels at baseline of 2442 (interquartile range 1603-3780) pg/ml. Patients with higher GDF-15 levels were typically older men with more severe symptoms, higher N-terminal pro-B-type natriuretic peptide levels, worse kidney function and who were prescribed metformin. Baseline levels of GDF-15 were well correlated with levels of IGF-binding protein 7 (rho = 0.64). Higher levels of GDF-15 were independently associated with an increased risk of cardiovascular death, heart failure hospitalizations, and worse kidney outcomes. When considered as a continuous variable, for each doubling in GDF-15, the adjusted hazard ratio for cardiovascular death or heart failure hospitalization was 1.40 (95% confidence interval 1.15-1.71; p < 0.001). The relative effect of empagliflozin on cardiovascular death and hospitalization for heart failure was most pronounced in patients with higher baseline levels of GDF-15 (interaction p-trend = 0.031). At week 52, when compared with placebo, empagliflozin increased GDF-15 by an additional 8% (p = 0.020), an effect that was primarily seen in patients not receiving metformin, a known AMPK activator. CONCLUSIONS Growth differentiation factor-15 is a marker of worse heart failure severity, is an independent predictor of major heart failure outcomes and may be associated with more pronounced benefits of empagliflozin. GDF-15 is increased among metformin users, and empagliflozin was associated with an increase in GDF-15 levels, primarily in patients not receiving metformin.
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Affiliation(s)
- João Pedro Ferreira
- Centre d'Investigations Cliniques Plurithématique 1433, and INSERM U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Université de Lorraine, INSERM, Nancy, France
- UnIC@RISE, Cardiovascular Research and Development Center, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
- Heart Failure Clinic, Internal Medicine Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
| | - Milton Packer
- Imperial College, London, UK
- Baylor Heart and Vascular Institute, Dallas, TX, USA
| | - Javed Butler
- Baylor Scott and White Research Institute, Dallas, TX, USA
- University of Mississippi, Jackson, MS, USA
| | - Gerasimos Filippatos
- National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | | | - James L Januzzi
- Cardiology Division, Massachusetts General Hospital and Baim Institute for Clinical Research, Boston, MA, USA
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | | | | | - Mikhail Sumin
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - Serge Masson
- Roche Diagnostics International Ltd, Rotkreuz, Switzerland
| | - Stefan D Anker
- Department of Cardiology (CVK) and Berlin Institute of Health Center for Regenerative Therapies (BCRT), German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
- Institute of Heart Diseases, Wrocław Medical University, Wrocław, Poland
| | - Faiez Zannad
- Centre d'Investigations Cliniques Plurithématique 1433, and INSERM U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Université de Lorraine, INSERM, Nancy, France
- UnIC@RISE, Cardiovascular Research and Development Center, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
- Heart Failure Clinic, Internal Medicine Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
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Marx N, Federici M, Schütt K, Müller-Wieland D, Crawford C, Eliasson B, Espinola-Klein C, Fauchier L, Halle M, Kautzky-Willer A, Lambrinou E, Lesiak M, Lettino M, Mullens W, Rocca B, Sattar N. [2023 ESC Guidelines for the management of cardiovascular disease in patients with diabetes]. G Ital Cardiol (Rome) 2024; 25:e1-e103. [PMID: 38140986 DOI: 10.1714/4162.41558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
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Mackenzie RM, Ali A, Bruce D, Bruce J, Ford I, Greenlaw N, Grieve E, Lean M, Lindsay RS, O'Donnell J, Sattar N, Stewart S, Logue J. Clinical outcomes and adverse events of bariatric surgery in adults with severe obesity in Scotland: the SCOTS observational cohort study. Health Technol Assess 2024; 28:1-115. [PMID: 38343107 PMCID: PMC11017628 DOI: 10.3310/unaw6331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2024] Open
Abstract
Background Bariatric surgery is a common procedure worldwide for the treatment of severe obesity and associated comorbid conditions but there is a lack of evidence as to medium-term safety and effectiveness outcomes in a United Kingdom setting. Objective To establish the clinical outcomes and adverse events of different bariatric surgical procedures, their impact on quality of life and the effect on comorbidities. Design Prospective observational cohort study. Setting National Health Service secondary care and private practice in Scotland, United Kingdom. Participants Adults (age >16 years) undergoing their first bariatric surgery procedure. Main outcome measures Change in weight, hospital length of stay, readmission and reoperation rate, mortality, diabetes outcomes (HbA1c, medications), quality of life, anxiety, depression. Data sources Patient-reported outcome measures, hospital records, national electronic health records (Scottish Morbidity Record 01, Scottish Care Information Diabetes, National Records Scotland, Prescription Information System). Results Between December 2013 and February 2017, 548 eligible patients were approached and 445 participants were enrolled in the study. Of those, 335 had bariatric surgery and 1 withdrew from the study. Mean age was 46.0 (9.2) years, 74.7% were female and the median body mass index was 46.4 (42.4; 52.0) kg/m2. Weight was available for 128 participants at 3 years: mean change was -19.0% (±14.1) from the operation and -24.2% (±12.8) from the start of the preoperative weight-management programme. One hundred and thirty-nine (41.4%) participants were readmitted to hospital in the same or subsequent 35 months post surgery, 18 (5.4% of the operated cohort) had a reoperation or procedure considered to be related to bariatric surgery gastrointestinal complications or revisions. Fewer than five participants (<2%) died during follow-up. HbA1c was available for 93/182 and diabetes medications for 139/182 participants who had type 2 diabetes prior to surgery; HbA1c mean change was -5.72 (±16.71) (p = 0.001) mmol/mol and 65.5% required no diabetes medications (p < 0.001) at 3 years post surgery. Physical quality of life, available for 101/335 participants, improved in the 3 years post surgery, mean change in Rand 12-item Short Form Survey physical component score 8.32 (±8.95) (p < 0.001); however, there was no change in the prevalence of anxiety or depression. Limitations Due to low numbers of bariatric surgery procedures in Scotland, recruitment was stopped before achieving the intended 2000 participants and follow-up was reduced from 10 years to 3 years. Conclusions Bariatric surgery is a safe and effective treatment for obesity. Patients in Scotland, UK, appear to be older and have higher body mass than international comparators, which may be due to the small number of procedures performed. Future work Intervention studies are required to identify the optimal pre- and post surgery pathway to maximise safety and cost-effectiveness. Study registration This study is registered as ISRCTN47072588. Funding details This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 10/42/02) and is published in full in Health Technology Assessment; Vol. 28, No. 7. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Ruth M Mackenzie
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Abdulmajid Ali
- University Hospital Ayr, NHS Ayrshire and Arran, Ayr, UK
| | | | - Julie Bruce
- Clinical Trials Unit, University of Warwick, Warwick, UK
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Nicola Greenlaw
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Eleanor Grieve
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Mike Lean
- School of Medicine, University of Glasgow, Glasgow, UK
| | - Robert S Lindsay
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Joanne O'Donnell
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Sally Stewart
- Department of Nursing and Community Health, Glasgow Caledonian University, Glasgow, UK
| | - Jennifer Logue
- Lancaster Medical School, Lancaster University, Lancaster, UK
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Avdic T, Carlsen HK, Isaksson R, Gudbjörnsdottir S, Mandalenakis Z, Franzén S, Sattar N, Beckman JA, McGuire DK, Eliasson B. Risk Factors for and Risk of Peripheral Artery Disease in Swedish Individuals With Type 2 Diabetes: A Nationwide Register-Based Study. Diabetes Care 2024; 47:109-116. [PMID: 37917855 DOI: 10.2337/dc23-1198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/09/2023] [Indexed: 11/04/2023]
Abstract
OBJECTIVE To investigate to what extent having control of peripheral artery disease (PAD) risk factors is associated with the risk of incident PAD in individuals with type 2 diabetes. RESEARCH DESIGN AND METHODS A total of 148,096 individuals with type 2 diabetes in the Swedish National Diabetes Register between 2005 and 2009 were included and matched with 320,066 control subjects on the basis of age, sex, and county. A few control subjects who developed type 2 diabetes after recruitment, during wash-in (<0.2%), were not censored but instead matched with two new control subjects. Individuals with type 2 diabetes were evaluated according to the number of PAD risk factors beyond recommended guideline levels at baseline, including LDL cholesterol, blood pressure, smoking, glycated hemoglobin, and estimated glomerular filtration rate. Incident PAD events were ascertained from 2006 to 2019. RESULTS A graded association was observed between the number of PAD risk factors not at target and incident PAD in individuals with type 2 diabetes. The adjusted hazard ratio for PAD was 1.41 (95% CI 1.23-1.63) for those with type 2 diabetes with all PAD risk factors within target compared with control subjects matched for sex, age, and county but not risk factor status, in contrast with 9.28 (95% CI 3.62-23.79) for those with all five PAD risk factors not at target. CONCLUSIONS A graded association was observed between increasing number of PAD risk factors not at target and incident PAD in individuals with type 2 diabetes.
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Affiliation(s)
- Tarik Avdic
- National Diabetes Register, Centre of Registers, Gothenburg, Sweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Internal Medicine, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden
| | - Hanne K Carlsen
- National Diabetes Register, Centre of Registers, Gothenburg, Sweden
| | - Rikard Isaksson
- National Diabetes Register, Centre of Registers, Gothenburg, Sweden
| | - Soffia Gudbjörnsdottir
- National Diabetes Register, Centre of Registers, Gothenburg, Sweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Zacharias Mandalenakis
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Internal Medicine, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden
| | - Stefan Franzén
- National Diabetes Register, Centre of Registers, Gothenburg, Sweden
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, U.K
| | - Joshua A Beckman
- Division of Vascular Medicine, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Darren K McGuire
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
- Parkland Health and Hospital System, Dallas, TX
| | - Björn Eliasson
- National Diabetes Register, Centre of Registers, Gothenburg, Sweden
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Nicholls SJ, Bhatt DL, Buse JB, Prato SD, Kahn SE, Lincoff AM, McGuire DK, Nauck MA, Nissen SE, Sattar N, Zinman B, Zoungas S, Basile J, Bartee A, Miller D, Nishiyama H, Pavo I, Weerakkody G, Wiese RJ, D'Alessio D. Comparison of tirzepatide and dulaglutide on major adverse cardiovascular events in participants with type 2 diabetes and atherosclerotic cardiovascular disease: SURPASS-CVOT design and baseline characteristics. Am Heart J 2024; 267:1-11. [PMID: 37758044 DOI: 10.1016/j.ahj.2023.09.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/11/2023] [Accepted: 09/16/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND Tirzepatide, a once-weekly GIP/GLP-1 receptor agonist, reduces blood glucose and body weight in people with type 2 diabetes. The cardiovascular (CV) safety and efficacy of tirzepatide have not been definitively assessed in a cardiovascular outcomes trial. METHODS Tirzepatide is being studied in a randomized, double-blind, active-controlled CV outcomes trial. People with type 2 diabetes aged ≥40 years, with established atherosclerotic CV disease, HbA1c ≥7% to ≤10.5%, and body mass index ≥25 kg/m2 were randomized 1:1 to once weekly subcutaneous injection of either tirzepatide up to 15 mg or dulaglutide 1.5 mg. The primary outcome is time to first occurrence of any major adverse cardiovascular event (MACE), defined as CV death, myocardial infarction, or stroke. The trial is event-driven and planned to continue until ≥1,615 participants experience an adjudication-confirmed component of MACE. The primary analysis is noninferiority for time to first MACE of tirzepatide vs dulaglutide by demonstrating an upper confidence limit <1.05, which will also confirm superiority vs a putative placebo, and also to determine whether tirzepatide produces a greater CV benefit than dulaglutide (superiority analysis). RESULTS Over 2 years, 13,299 people at 640 sites in 30 countries across all world regions were randomized. The mean age of randomized participants at baseline was 64.1 years, diabetes duration 14.7 years, HbA1c 8.4%, and BMI 32.6 kg/m2. Overall, 65.0% had coronary disease, of whom 47.3% reported prior myocardial infarction and 57.4% had prior coronary revascularization. 19.1% of participants had a prior stroke and 25.3% had peripheral artery disease. The trial is fully recruited and ongoing. CONCLUSION SURPASS-CVOT will provide definitive evidence as to the CV safety and efficacy of tirzepatide as compared with dulaglutide, a GLP-1 receptor agonist with established CV benefit.
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Affiliation(s)
- Stephen J Nicholls
- Victorian Heart Institute, Monash University, VIC, Melbourne, Australia.
| | - Deepak L Bhatt
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai Health System, New York, NY
| | - John B Buse
- University of North Carolina, Chapel Hill, NC
| | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, Section of Metabolic Diseases and Diabetes, University of Pisa, Pisa, and Sant'Anna School of Advanced Studies, Pisa, Italy
| | - Steven E Kahn
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle, WA
| | - A Michael Lincoff
- Cleveland Clinic Coordinating Center for Clinical Research (C5Research) and Department of Cardiovascular Medicine, Cleveland, OH
| | - Darren K McGuire
- University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, TX
| | - Michael A Nauck
- Diabetes, Endocrinology and Metabolism Section, Department of Medicine I, St. Josef-Hospital, Katholisches Klinikum Bochum gGmbH, Ruhr University of Bochum, Bochum, Germany
| | - Steven E Nissen
- Cleveland Clinic Coordinating Center for Clinical Research (C5Research) and Department of Cardiovascular Medicine, Cleveland, OH
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, United Kingdom
| | - Bernard Zinman
- University of Toronto, Lunenfeld-Tanenbaum Research Institute and Mount Sinai Hospital, Toronto, ON, Canada
| | - Sophia Zoungas
- Victorian Heart Institute, Monash University, VIC, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, VIC, Melbourne, Australia
| | - Jan Basile
- Medical University of South Carolina, Ralph H. Johnson VA Medical Center, Charleston, SC
| | | | | | | | - Imre Pavo
- Eli Lilly and Company, Indianapolis, IN
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Dhingra NK, Verma S, Butler J, Anker SD, Ferreira JP, Filippatos G, Januzzi JL, Lam CSP, Sattar N, Zaremba-Pechmann L, Böhm M, Nordaby M, Brueckmann M, Pocock SJ, Zannad F, Packer M. Efficacy and Safety of Empagliflozin According to Background Diuretic Use in HFrEF: Post-Hoc Analysis of EMPEROR-Reduced. JACC Heart Fail 2024; 12:35-46. [PMID: 37715769 DOI: 10.1016/j.jchf.2023.06.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 09/18/2023]
Abstract
BACKGROUND The EMPEROR-Reduced (EMPagliflozin outcomE tRial in Patients With chrOnic heaRt Failure With Reduced Ejection Fraction) trial established the efficacy of empagliflozin in reducing heart failure (HF) outcomes among patients with heart failure with reduced ejection fraction (HFrEF). OBJECTIVES The authors examined the outcomes of EMPEROR-Reduced as a function of background diuretic therapy. METHODS The EMPEROR-Reduced trial was a double-blind, randomized controlled trial of placebo vs empagliflozin 10 mg among 3,730 HFrEF patients. Herein, the population was stratified into 4 groups: no diuretic and diuretic dose equivalent to furosemide <40, 40, and >40 mg daily at baseline. RESULTS A total of 3,656 patients from the EMPEROR-Reduced trial were available for analysis. Of those patients, 482 (13.2%) were receiving no diuretic therapy, and 731 (20.0%), 1,411 (38.6%), and 1,032 (28.2%) were receiving <40 mg, 40 mg, and >40 mg, respectively. The efficacy of empagliflozin on the primary outcome (time to first event of hospitalization for HF or cardiovascular [CV] death) was consistent regardless of background diuretic therapy (>40 mg: HR: 0.88 [95% CI: 0.71-1.10]; 40 mg: HR: 0.65 [95% CI: 0.51-0.82]; <40 mg: HR: 0.65 [95% CI: 0.46-0.92]); no diuretic agents: HR: 0.78 [95% CI: 0.47-1.29]; Ptrend test = 0.192). Baseline diuretic doses did not influence the effect of empagliflozin on body weight, systolic blood pressure, NT-proBNP, or hematocrit at 52 weeks. The safety profile of empagliflozin vs placebo was unaffected by baseline diuretic dose; however, independently of treatment allocation, total rates of adverse events were higher among patients with higher baseline doses of diuretic agents. CONCLUSIONS Empagliflozin exhibits a consistent effect on time to CV death or HF hospitalization and an unaltered safety profile regardless of baseline diuretic therapy. (EMPagliflozin outcomE tRial in Patients With chrOnic heaRt Failure With Reduced Ejection Fraction [EMPEROR-Reduced]; NCT03057977).
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Affiliation(s)
- Nitish K Dhingra
- Division of Cardiac Surgery, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Subodh Verma
- Division of Cardiac Surgery, St. Michael's Hospital, University of Toronto, Toronto, Canada.
| | - Javed Butler
- Baylor Scott and White Research Institute, Dallas, Texas, USA; University of Mississippi, Jackson, Mississippi, USA
| | - Stefan D Anker
- Department of Cardiology of German Heart Center Charité, Institute of Health Center for Regenerative Therapies, German Centre for Cardiovascular Research, partner site Berlin, Charité Universitätsmedizin, Berlin, Germany
| | - Joao Pedro Ferreira
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques-Plurithématique 14-33, Nancy, France; Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France; UnIC@RISE, Cardiovascular Research and Development Center, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal; Heart Failure Clinic, Internal Medicine Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Portugal
| | - Gerasimos Filippatos
- National and Kapodistrian University of Athens School of Medicine, Athens University Hospital Attikon, Athens, Greece
| | - James L Januzzi
- Division of Cardiology, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Carolyn S P Lam
- National Heart Centre Singapore, Duke-NUS Medical School, Singapore
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Scotland, United Kingdom
| | | | - Michael Böhm
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - Matias Nordaby
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - Martina Brueckmann
- Boehringer Ingelheim International GmbH, Ingelheim, Germany; First Department of Medicine, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - Stuart J Pocock
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Faiez Zannad
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques-Plurithématique 14-33, Nancy, France; Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France
| | - Milton Packer
- Baylor Heart and Vascular Institute, Baylor University Medical Center, Dallas, Texas, USA; Imperial College, London, United Kingdom
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Fejzo M, Rocha N, Cimino I, Lockhart SM, Petry CJ, Kay RG, Burling K, Barker P, George AL, Yasara N, Premawardhena A, Gong S, Cook E, Rimmington D, Rainbow K, Withers DJ, Cortessis V, Mullin PM, MacGibbon KW, Jin E, Kam A, Campbell A, Polasek O, Tzoneva G, Gribble FM, Yeo GSH, Lam BYH, Saudek V, Hughes IA, Ong KK, Perry JRB, Sutton Cole A, Baumgarten M, Welsh P, Sattar N, Smith GCS, Charnock-Jones DS, Coll AP, Meek CL, Mettananda S, Hayward C, Mancuso N, O'Rahilly S. GDF15 linked to maternal risk of nausea and vomiting during pregnancy. Nature 2024; 625:760-767. [PMID: 38092039 PMCID: PMC10808057 DOI: 10.1038/s41586-023-06921-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 11/30/2023] [Indexed: 01/19/2024]
Abstract
GDF15, a hormone acting on the brainstem, has been implicated in the nausea and vomiting of pregnancy, including its most severe form, hyperemesis gravidarum (HG), but a full mechanistic understanding is lacking1-4. Here we report that fetal production of GDF15 and maternal sensitivity to it both contribute substantially to the risk of HG. We confirmed that higher GDF15 levels in maternal blood are associated with vomiting in pregnancy and HG. Using mass spectrometry to detect a naturally labelled GDF15 variant, we demonstrate that the vast majority of GDF15 in the maternal plasma is derived from the feto-placental unit. By studying carriers of rare and common genetic variants, we found that low levels of GDF15 in the non-pregnant state increase the risk of developing HG. Conversely, women with β-thalassaemia, a condition in which GDF15 levels are chronically high5, report very low levels of nausea and vomiting of pregnancy. In mice, the acute food intake response to a bolus of GDF15 is influenced bi-directionally by prior levels of circulating GDF15 in a manner suggesting that this system is susceptible to desensitization. Our findings support a putative causal role for fetally derived GDF15 in the nausea and vomiting of human pregnancy, with maternal sensitivity, at least partly determined by prepregnancy exposure to the hormone, being a major influence on its severity. They also suggest mechanism-based approaches to the treatment and prevention of HG.
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Affiliation(s)
- M Fejzo
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - N Rocha
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - I Cimino
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - S M Lockhart
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - C J Petry
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - R G Kay
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Peptidomics and Proteomics Core Facility, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - K Burling
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Core Biochemical Assay Laboratory, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - P Barker
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Core Biochemical Assay Laboratory, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - A L George
- Peptidomics and Proteomics Core Facility, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - N Yasara
- Department of Paediatrics, Faculty of Medicine, University of Kelaniya, Thalagolla Road, Ragama, Sri Lanka
| | - A Premawardhena
- Adolescent and Adult Thalassaemia Care Center (University Medical Unit), North Colombo Teaching Hospital, Kadawatha, Sri Lanka
- Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - S Gong
- Department of Obstetrics and Gynaecology, University of Cambridge, NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Centre for Trophoblast Research (CTR), Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - E Cook
- Department of Obstetrics and Gynaecology, University of Cambridge, NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | - D Rimmington
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - K Rainbow
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - D J Withers
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - V Cortessis
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - P M Mullin
- Department of Obstetrics and Gynaecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - K W MacGibbon
- Hyperemesis Education and Research Foundation, Clackamas, OR, USA
| | - E Jin
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - A Kam
- Department of Obstetrics and Gynaecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - A Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - O Polasek
- Faculty of Medicine, University of Split, Split, Croatia
| | - G Tzoneva
- Regeneron Genetics Center, Tarrytown, NY, USA
| | - F M Gribble
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - G S H Yeo
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - B Y H Lam
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - V Saudek
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - I A Hughes
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - K K Ong
- Department of Paediatrics, University of Cambridge, Cambridge, UK
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - J R B Perry
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - A Sutton Cole
- Department of Obstetrics and Gynaecology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - M Baumgarten
- Department of Obstetrics and Gynaecology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - P Welsh
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - N Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - G C S Smith
- Department of Obstetrics and Gynaecology, University of Cambridge, NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Centre for Trophoblast Research (CTR), Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - D S Charnock-Jones
- Department of Obstetrics and Gynaecology, University of Cambridge, NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Centre for Trophoblast Research (CTR), Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - A P Coll
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - C L Meek
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - S Mettananda
- Department of Paediatrics, Faculty of Medicine, University of Kelaniya, Thalagolla Road, Ragama, Sri Lanka
- University Paediatrics Unit, Colombo North Teaching Hospital, Ragama, Sri Lanka
| | - C Hayward
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - N Mancuso
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Quantitative and Computational Biology, University of Southern California, California, CA, USA
- Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, California, CA, USA
| | - S O'Rahilly
- Medical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK.
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Zelko A, Salerno PRVO, Al-Kindi S, Ho F, Rocha FP, Nasir K, Rajagopalan S, Deo S, Sattar N. Geographically Weighted Modeling to Explore Social and Environmental Factors Affecting County-Level Cardiovascular Mortality in People With Diabetes in the United States: A Cross-Sectional Analysis. Am J Cardiol 2023; 209:193-198. [PMID: 37865123 PMCID: PMC10873078 DOI: 10.1016/j.amjcard.2023.09.084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/15/2023] [Accepted: 09/24/2023] [Indexed: 10/23/2023]
Abstract
Disparities exist in the cardiovascular mortality rates among people with type 2 diabetes (T2D). Research has established that these disparities are often related to the environmental and social determinations of health. This study explores the spatial variation between air pollution, social determinants of health and T2D related age-adjusted cardiovascular mortality (aa-CVM) in the United States. We obtained county-level T2D related to aa-CVM (per 100,000 residents) from Centers for Disease Control and Prevention WONDER (Wide-ranging Online Data for Epidemiologic Research) (2010 to 2019). We fit a geographically weighted linear regression with aa-CVM as the outcome and the following covariates (ambient air pollution [particulate matter of 2.5 µm size], median annual household income, racial/ethnic minorities, higher education, rurality, food insecurity, and primary health care access) were included. Overall, the median aa-CVM rate was 92.9 and highest in the South (102.2). In the West, aa-CVM was significantly associated with particulate matter of 2.5 µm size, annual median household income, racial minority status and primary health care access. Food insecurity was the most significant exposure in the Midwest and Northeast, while in the South, annual median household income and food insecurity were significant. In conclusion, this study demonstrated a substantial regional variation of exposure to determinants of T2D related aa-CVM in the United States. These findings should be considered in policy frameworks and interventions as part of community-level approaches to addressing T2D related aa-CVM, and within broader state and national discussions of the importance of population health.
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Affiliation(s)
- Andrea Zelko
- College of Public Health, Kent State University, Kent, Ohio
| | - Pedro R V O Salerno
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, Ohio
| | - Sadeer Al-Kindi
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, Ohio; Case School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Fredrick Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Fanny Petermann Rocha
- Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile; School of Metabolic and Cardiovascular Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Khurram Nasir
- Department of Cardiology, Houston Methodist Center, Houston, Texas
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, Ohio; Case School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Salil Deo
- Case School of Medicine, Case Western Reserve University, Cleveland, Ohio; School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom; Surgical Services, Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio.
| | - Naveed Sattar
- School of Metabolic and Cardiovascular Sciences, University of Glasgow, Glasgow, United Kingdom
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Donin A, Nightingale CM, Sattar N, Fraser WD, Owen CG, Cook DG, Whincup PH. Cross-sectional study of the associations between circulating vitamin D concentrations and insulin resistance in children aged 9-10 years of South Asian, black African Caribbean and white European origins. J Epidemiol Community Health 2023:jech-2023-220626. [PMID: 38123968 DOI: 10.1136/jech-2023-220626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Lower circulating vitamin D 25-hydroxyvitamin D (25(OH)D) concentrations are associated with higher type 2 diabetes risk in adults, although causality remains uncertain. However, associations between 25(OH)D and type 2 diabetes risk markers in children have been little studied, particularly in ethnic minority populations. We examined whether 25(OH)D concentrations were associated with insulin resistance in children and whether lower 25(OH)D concentrations in South Asians and black African Caribbeans could contribute to their higher insulin resistance. METHODS Cross-sectional study of 4650 UK primary school children aged 9-10 years of predominantly South Asian, black African Caribbean and white European ethnicity. Children had fasting blood measurements of circulating 25(OH)D metabolite concentrations, insulin and glucose. RESULTS Lower 25(OH)D concentrations were observed in girls, South Asians and black African Caribbeans. In analyses adjusted for age, sex, month, ethnic group and school, circulating 25(OH)D was inversely associated with fasting insulin (-0.38%, 95% CI -0.49% to -0.27%), homoeostasis model assessment (HOMA) insulin resistance (-0.39%, 95% CI -0.50% to -0.28%) and fasting glucose (-0.03%, 95% CI -0.05% to -0.02%) per nmol/L increase in 25(OH)D; associations did not differ between ethnic groups. Ethnic differences in fasting insulin and HOMA insulin resistance (higher among South Asian and black African Caribbeans) were reduced by >40% after adjustment for circulating 25(OH)D concentrations. CONCLUSION Circulating vitamin D was inversely associated with insulin resistance in all ethnic groups; higher insulin resistance in South Asian and black African children were partly explained by their lower vitamin D levels. Whether vitamin D supplementation can reduce emerging type 2 diabetes risk needs further evaluation.
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Affiliation(s)
- Angela Donin
- Population Health Research Institute, St George's University of London, London, UK
| | - Claire M Nightingale
- Population Health Research Institute, St George's University of London, London, UK
| | - Naveed Sattar
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - William D Fraser
- Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Chris G Owen
- Population Health Research Institute, St George's University of London, London, UK
| | - Derek G Cook
- Population Health Research Institute, St George's University of London, London, UK
| | - Peter H Whincup
- Population Health Research Institute, St George's University of London, London, UK
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47
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Heald AH, Jenkins DA, Williams R, Mudaliar RN, Khan A, Syed A, Sattar N, Khunti K, Naseem A, Bowden-Davies KA, Gibson JM, Ollier W. Correction to: Sars-Cov-2 Infection in People with Type 1 Diabetes and Hospital Admission: An Analysis of Risk Factors for England. Diabetes Ther 2023; 14:2043-2044. [PMID: 37796425 PMCID: PMC10597968 DOI: 10.1007/s13300-023-01483-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/06/2023] Open
Affiliation(s)
- Adrian H Heald
- The School of Medicine-Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK.
| | - David A Jenkins
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK
| | - Richard Williams
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK
- NIHR Applied Research Collaboration Greater Manchester, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Rajshekhar N Mudaliar
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Amber Khan
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Akheel Syed
- The School of Medicine-Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Asma Naseem
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Kelly A Bowden-Davies
- Department of Sport and Exercise Sciences, Musculoskeletal Science and Sports Medicine Research Centre, Manchester Metropolitan University, Manchester, UK
| | - J Martin Gibson
- The School of Medicine-Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK
| | - William Ollier
- Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK
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Heald AH, Jenkins DA, Williams R, Mudaliar RN, Khan A, Syed A, Sattar N, Khunti K, Naseem A, Bowden-Davies KA, Gibson JM, Ollier W. Sars-Cov-2 Infection in People with Type 1 Diabetes and Hospital Admission: An Analysis of Risk Factors for England. Diabetes Ther 2023; 14:2031-2042. [PMID: 37620452 PMCID: PMC10597906 DOI: 10.1007/s13300-023-01456-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 07/21/2023] [Indexed: 08/26/2023] Open
Abstract
INTRODUCTION The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus (coronavirus disease 2019 [COVID-19]) pandemic revealed the vulnerability of specific population groups in relation to susceptibility to acute deterioration in their health, including hospital admission and mortality. There is less data on outcomes for people with type 1 diabetes (T1D) following SARS-CoV-2 infection than for those with type 2 diabetes (T2D). In this study we set out to determine the relative likelihood of hospital admission following SARS-CoV-2 infection in people with T1D when compared to those without T1D. METHODS This study was conducted as a retrospective cohort study and utilised an all-England dataset. Electronic health record data relating to people in a national England database (NHS England's Secure Data Environment, accessed via the BHF Data Science Centre's CVD-COVID-UK/COVID-IMPACT consortium) were analysed. The cohort consisted of patients with a confirmed SARS-CoV-2 infection, and the exposure was whether or not an individual had T1D prior to infection (77,392 patients with T1D). The patients without T1D were matched for sex, age and approximate date of the positive COVID-19 test, with three SARS-CoV-2-infected people living without diabetes (n = 223,995). Potential factors influencing the relative likelihood of the outcome of hospital admission within 28 days were ascertained using univariable and multivariable logistic regression. RESULTS Median age of the people living with T1D was 37 (interquartile range 25-52) years, 47.4% were female and 89.6% were of white ethnicity. Mean body mass index was 27 (standard error [SE] 0.022) kg/m2, and mean glycated haemoglobin (HbA1c) was 67.3 (SE 0.069) mmol/mol (8.3%). A significantly higher proportion of people with T1D (10.7%) versus matched non-diabetes individuals (3.9%) were admitted to hospital. In combined analysis including individuals with T1D and matched controls, multiple regression modelling indicated that the factors independently relating to a higher likelihood of hospital admission were: T1D (odds ratio [OR] 1.71, 95% confidence interval [CI] 1.62-1.80]), age (OR 1.02, 95% CI 1.02-1.03), social deprivation (higher Townsend deprivation score: OR 1.07, 95% CI 1.06-1.08), lower estimated glomerular filtration rate (eGFR) value (OR 0.975, 95% CI 0.974-0.976), non-white ethnicity (OR black 1.19, 95% CI 1.06-1.33/OR Asian 1.21, 95% CI 1.05-1.39) and having asthma (OR 1.27, 95% CI 1.19-1.35]), chronic obstructive pulmonary disease (OR 2.10, 95% CI 1.89-2.32), severe mental illness (OR 1.83, 95% CI 1.57-2.12) or hypertension (OR 1.44, 95% CI 1.37-1.52). CONCLUSION In this all-England study, we describe that, following confirmed infection with SARS-CoV-2, the risk factors for hospital admission for people living with T1D are similar to people without diabetes following confirmed SARS-CoV-2 infection, although the former were more likely to be admitted to hospital. The younger age of individuals with T1D in relation to risk stratification must be taken into account in any ongoing risk reduction strategies regarding COVID-19/future viral pandemics.
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Affiliation(s)
- Adrian H Heald
- The School of Medicine-Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK.
| | - David A Jenkins
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK
| | - Richard Williams
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK
- NIHR Applied Research Collaboration Greater Manchester, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Rajshekhar N Mudaliar
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Amber Khan
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Akheel Syed
- The School of Medicine-Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Asma Naseem
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Kelly A Bowden-Davies
- Department of Sport and Exercise Sciences, Musculoskeletal Science and Sports Medicine Research Centre, Manchester Metropolitan University, Manchester, UK
| | - J Martin Gibson
- The School of Medicine-Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK
- Department of Diabetes and Endocrinology, Salford Royal NHS Foundation Trust, Salford, UK
| | - William Ollier
- Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK
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Wade KH, Hamilton FW, Carslake D, Sattar N, Davey Smith G, Timpson NJ. Challenges in undertaking nonlinear Mendelian randomization. Obesity (Silver Spring) 2023; 31:2887-2890. [PMID: 37845826 PMCID: PMC7615556 DOI: 10.1002/oby.23927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/24/2023] [Accepted: 09/05/2023] [Indexed: 10/18/2023]
Abstract
Mendelian randomization (MR) is a widely used method that exploits the unique properties of germline genetic variation to strengthen causal inference in relationships between exposures and outcomes. Nonlinear MR allows estimation of the shape of these relationships. In a previous paper, the authors applied linear and nonlinear MR to estimate the effect of BMI on mortality in UK Biobank, providing evidence for a J-shaped association. However, it is now clear that there are problems with widely used nonlinear MR methods, which draws attention to the likely erroneous nature of the conclusions regarding the shapes of several explored relationships. Here, the authors explore the utility and likely biases of these nonlinear MR methods with the use of a negative control design. Although there remains good evidence for a causal effect of higher BMI increasing the risk of mortality, the pattern of this association across different levels of BMI requires further characterization.
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Affiliation(s)
- Kaitlin H. Wade
- Medical Research Council (MRC) Integrative Epidemiology UnitUniversity of BristolBristolUK
- Population Health Sciences, Bristol Medical School, Faculty of Health SciencesUniversity of BristolBristolUK
| | - Fergus W. Hamilton
- Medical Research Council (MRC) Integrative Epidemiology UnitUniversity of BristolBristolUK
- Infection ScienceNorth Bristol NHS TrustBristolUK
| | - David Carslake
- Medical Research Council (MRC) Integrative Epidemiology UnitUniversity of BristolBristolUK
- Population Health Sciences, Bristol Medical School, Faculty of Health SciencesUniversity of BristolBristolUK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research CentreUniversity of GlasgowGlasgowUK
| | - George Davey Smith
- Medical Research Council (MRC) Integrative Epidemiology UnitUniversity of BristolBristolUK
- Population Health Sciences, Bristol Medical School, Faculty of Health SciencesUniversity of BristolBristolUK
| | - Nicholas J. Timpson
- Medical Research Council (MRC) Integrative Epidemiology UnitUniversity of BristolBristolUK
- Population Health Sciences, Bristol Medical School, Faculty of Health SciencesUniversity of BristolBristolUK
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Małecki MT, Batterham RL, Sattar N, Levine JA, Rodríguez Á, Bergman BK, Wang H, Ghimpeteanu G, Lee CJ. Predictors of ≥15% Weight Reduction and Associated Changes in Cardiometabolic Risk Factors With Tirzepatide in Adults With Type 2 Diabetes in SURPASS 1-4. Diabetes Care 2023; 46:2292-2299. [PMID: 37824793 DOI: 10.2337/dc23-1135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/28/2023] [Indexed: 10/14/2023]
Abstract
OBJECTIVE To identify predictors of body weight (BW) reduction of ≥15% with tirzepatide treatment and to describe associated clinical parameters of participants with type 2 diabetes (T2D) who achieved different categorical measures of BW reduction (<5%, ≥5 to <10%, ≥10 to <15%, and ≥15%) across four studies from the phase 3 SURPASS clinical trial program for T2D. RESEARCH DESIGN AND METHODS The multivariate model for predictor of a BW reduction of ≥15% included age, sex, race, BW, HbA1c, tirzepatide dose and baseline metformin use, fasting serum glucose, and non-HDL cholesterol. Baseline characteristics and change from baseline to week 40/42 for efficacy parameters were described and analyzed in treatment-adherent participants (≥75% doses administered and on treatment at week 40/42) receiving once weekly tirzepatide (5 mg, 10 mg, or 15 mg) (N = 3,188). RESULTS Factors significantly associated with achieving a BW reduction of ≥15% with tirzepatide were higher tirzepatide doses, female sex, White or Asian race, younger age, metformin background therapy, and lower HbA1c, fasting serum glucose, and non-HDL cholesterol at baseline. With higher categorical BW reduction, there were greater reductions in HbA1c, triglycerides, ALT, waist circumference, and blood pressure. CONCLUSIONS Baseline factors associated with a higher likelihood of achieving a BW reduction of ≥15% with tirzepatide were higher tirzepatide doses, female sex, White or Asian race, younger age, metformin background therapy, better glycemic status, and lower non-HDL cholesterol. With greater BW reduction, participants with T2D achieved larger improvements in glycemia and cardiometabolic risk parameters. These findings help inform which people with T2D are most likely to achieve greater BW reduction with improved cardiometabolic risk factors with tirzepatide.
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Affiliation(s)
- Maciej T Małecki
- Department of Metabolic Diseases, Jagiellonian University Medical College, Kraków, Poland
| | - Rachel L Batterham
- University College London, London, U.K
- Eli Lilly and Company, Basingstoke, U.K
| | - Naveed Sattar
- British Heart Foundation Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, U.K
| | | | | | | | - Hui Wang
- TechData Service Company, King of Prussia, PA
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