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Donnelly LA, McCrimmon RJ, Pearson ER. Trajectories of BMI before and after diagnosis of type 2 diabetes in a real-world population. Diabetologia 2024:10.1007/s00125-024-06217-1. [PMID: 38967665 DOI: 10.1007/s00125-024-06217-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 05/14/2024] [Indexed: 07/06/2024]
Abstract
AIMS/HYPOTHESIS Few studies have examined the clinical characteristics associated with changes in weight before and after diagnosis of type 2 diabetes. Using a large real-world cohort, we derived trajectories of BMI before and after diabetes diagnosis, and examined the clinical characteristics associated with these trajectories, including assessing the impact of pre-diagnosis weight change on post-diagnosis weight change. METHODS We performed an observational cohort study using electronic medical records from individuals in the Scottish Care Information Diabetes Collaboration database. Two trajectories were calculated, based on observed BMI measurements between 3 years and 6 months before diagnosis and between 1 and 5 years after diagnosis. In the post-diagnosis trajectory, each BMI measurement was time-dependently adjusted for the effects of diabetes medications and HbA1c change. RESULTS A total of 2736 individuals were included in the study. There was a pattern of pre-diagnosis weight gain, with 1944 individuals (71%) gaining weight overall, and 875 (32%) gaining more than 0.5 kg/m2 per year. This was followed by a pattern of weight loss after diagnosis, with 1722 individuals (63%) losing weight. Younger age and greater social deprivation were associated with increased weight gain before diagnosis. Pre-diagnosis weight change was unrelated to post-diagnosis weight change, but post-diagnosis weight loss was associated with older age, female sex, higher BMI, higher HbA1c and weight gain during the peri-diagnosis period. When considering the peri-diagnostic period (defined as from 6 months before to 12 months after diagnosis), we identified 986 (36%) individuals who had a high HbA1c at diagnosis but who lost weight rapidly and were most aggressively treated at 1 year; this subgroup had the best glycaemic control at 5 years. CONCLUSIONS/INTERPRETATION Average weight increases before diagnosis and decreases after diagnosis; however, there were significant differences across the population in terms of weight changes. Younger individuals gained weight pre-diagnosis, but, in older individuals, type 2 diabetes is less associated with weight gain, consistent with other drivers for diabetes aetiology in older adults. We have identified a substantial group of individuals who have a rapid deterioration in glycaemic control, together with weight loss, around the time of diagnosis, and who subsequently stabilise, suggesting that a high HbA1c at diagnosis is not inevitably associated with a poor outcome and may be driven by reversible glucose toxicity.
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Affiliation(s)
- Louise A Donnelly
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Rory J McCrimmon
- Division of Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Ewan R Pearson
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
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2
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Pramanik S, Mondal S, Palui R, Ray S. Type 2 diabetes in children and adolescents: Exploring the disease heterogeneity and research gaps to optimum management. World J Clin Pediatr 2024; 13:91587. [PMID: 38947996 PMCID: PMC11212753 DOI: 10.5409/wjcp.v13.i2.91587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 04/07/2024] [Accepted: 04/18/2024] [Indexed: 06/07/2024] Open
Abstract
Over the past 20 years, the incidence and prevalence of type 2 diabetes mellitus (T2DM) in children and adolescents have increased, particularly in racial and ethnic minorities. Despite the rise in T2DM in children and adolescents, the pathophysiology and progression of disease in this population are not clearly understood. Youth-onset T2DM has a more adverse clinical course than is seen in those who develop T2DM in adulthood or those with T1DM. Furthermore, the available therapeutic options are more limited for children and adolescents with T2DM compared to adult patients, mostly due to the challenges of implementing clinical trials. A better understanding of the mechanisms underlying the de-velopment and aggressive disease phenotype of T2DM in youth is important to finding effective prevention and management strategies. This review highlights the key evidence about T2DM in children and adolescents and its current burden and challenges both in clinical care and research activities.
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Affiliation(s)
- Subhodip Pramanik
- Department of Endocrinology, Neotia Getwel Multi-specialty hospital, Siliguri 734010, West Bengal, India
| | - Sunetra Mondal
- Department of Endocrinology, NRS Medical College and Hospital, Kolkata 700014, West Bengal, India
| | - Rajan Palui
- Department of Endocrinology, The Mission Hospital, Durgapur 713212, West Bengal, India
| | - Sayantan Ray
- Department of Endocrinology, All India Institute of Medical Sciences, Bhubaneswar, Bhubaneswar 751019, Odisha, India
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3
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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] [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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Franks PW, Cefalu WT, Dennis J, Florez JC, Mathieu C, Morton RW, Ridderstråle M, Sillesen HH, Stehouwer CDA. Precision medicine for cardiometabolic disease: a framework for clinical translation. Lancet Diabetes Endocrinol 2023; 11:822-835. [PMID: 37804856 DOI: 10.1016/s2213-8587(23)00165-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 06/01/2023] [Accepted: 06/01/2023] [Indexed: 10/09/2023]
Abstract
Cardiometabolic disease is a major threat to global health. Precision medicine has great potential to help to reduce the burden of this common and complex disease cluster, and to enhance contemporary evidence-based medicine. Its key pillars are diagnostics; prediction (of the primary disease); prevention (of the primary disease); prognosis (prediction of complications of the primary disease); treatment (of the primary disease or its complications); and monitoring (of risk exposure, treatment response, and disease progression or remission). To contextualise precision medicine in both research and clinical settings, and to encourage the successful translation of discovery science into clinical practice, in this Series paper we outline a model (the EPPOS model) that builds on contemporary evidence-based approaches; includes precision medicine that improves disease-related predictions by stratifying a cohort into subgroups of similar characteristics, or using participants' characteristics to model treatment outcomes directly; includes personalised medicine with the use of a person's data to objectively gauge the efficacy, safety, and tolerability of therapeutics; and subjectively tailors medical decisions to the individual's preferences, circumstances, and capabilities. Precision medicine requires a well functioning system comprised of multiple stakeholders, including health-care recipients, health-care providers, scientists, health economists, funders, innovators of medicines and technologies, regulators, and policy makers. Powerful computing infrastructures supporting appropriate analysis of large-scale, well curated, and accessible health databases that contain high-quality, multidimensional, time-series data will be required; so too will prospective cohort studies in diverse populations designed to generate novel hypotheses, and clinical trials designed to test them. Here, we carefully consider these topics and describe a framework for the integration of precision medicine in cardiometabolic disease.
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Affiliation(s)
- Paul W Franks
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark; Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; Harvard T H Chan School of Public Health, Boston, MA, USA.
| | - William T Cefalu
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - John Dennis
- Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter, Exeter, UK
| | - Jose C Florez
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Robert W Morton
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | | | - Henrik H Sillesen
- Department of Clinical Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | - Coen D A Stehouwer
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands; Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
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5
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Kibirige D, Sekitoleko I, Lumu W, Nyirenda MJ. Type 2 diabetes progression in an adult Ugandan population with new-onset diabetes: an observational prospective study. BMC PRIMARY CARE 2023; 24:214. [PMID: 37858088 PMCID: PMC10588137 DOI: 10.1186/s12875-023-02169-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 10/03/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND The rate of progression of type 2 diabetes following diagnosis varies across individuals and populations. Studies investigating the progression of type 2 diabetes in adult African populations with newly diagnosed diabetes are limited. We aimed to investigate the prevalence and predictors of short-term (one year) diabetes progression in an adult Ugandan population with new-onset type 2 diabetes (type 2 diabetes diagnosed in < 3 months) initiated on oral hypoglycaemic agents (OHA). METHODS Two hundred and seven adult participants with type 2 diabetes diagnosed within the previous three months were followed up for 12 months. We investigated the association of specific demographic, clinical, and metabolic characteristics, and short-term diabetes progression (defined as glycated haemoglobin or HbA1c ≥ 8% on ≥ 2 OHA and/or treatment intensification). RESULTS One hundred sixteen participants (56%) completed the follow-up period. Sixty-four participants (55.2%, 95% CI 45.7-64.4) showed evidence of diabetes progression during the 12-month period of follow-up. An HbA1c ≥ 8% on ≥ 2 OHA and treatment intensification were noted in 44.8% and 29.3% of the participants, respectively. On multivariate analysis, only the female gender (AOR 3.2, 95% CI 1.1-9.2, p = 0.03) was noted to be independently associated with short-term diabetes progression. CONCLUSION Short-term diabetes progression was relatively common in this study population and was independently associated with the female gender. Early intensified diabetes therapy in adult Ugandan female patients with new-onset type 2 diabetes should be emphasised to avert rapid short-term diabetes progression.
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Affiliation(s)
- Davis Kibirige
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Non-Communicable Diseases Program, Entebbe, Uganda.
- Department of Non-Communicable Diseases Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
- Department of Medicine, Uganda Martyrs Hospital Lubaga, Kampala, Uganda.
| | - Isaac Sekitoleko
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Non-Communicable Diseases Program, Entebbe, Uganda
| | - William Lumu
- Department of Medicine, Mengo Hospital, Kampala, Uganda
| | - Moffat J Nyirenda
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Non-Communicable Diseases Program, Entebbe, Uganda
- Department of Non-Communicable Diseases Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
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6
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Misra S, Ke C, Srinivasan S, Goyal A, Nyriyenda MJ, Florez JC, Khunti K, Magliano DJ, Luk A. Current insights and emerging trends in early-onset type 2 diabetes. Lancet Diabetes Endocrinol 2023; 11:768-782. [PMID: 37708901 DOI: 10.1016/s2213-8587(23)00225-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 07/01/2023] [Accepted: 07/19/2023] [Indexed: 09/16/2023]
Abstract
Type 2 diabetes diagnosed in childhood or early adulthood is termed early-onset type 2 diabetes. Cases of early-onset type 2 diabetes are increasing rapidly globally, alongside rising obesity. Compared with a diagnosis later in life, an earlier-onset diagnosis carries an unexplained excess risk of microvascular complications, adverse cardiovascular outcomes, and earlier death. Women with early-onset type 2 diabetes also have a higher risk of adverse pregnancy outcomes. The high burden of complications renders individuals with early-onset type 2 diabetes at future risk of multimorbidity and interventions to reverse these concerning trends should be a priority. Within the early-onset cohort, disease pathophysiology and interventions have been better studied in paediatric-onset (<19 years) type 2 diabetes compared to adults; however, young adults aged 19-39 years (a larger number proportionally) are not well characterised and are also invisible in the current evidence base supporting management, which is derived from trials in later-onset type 2 diabetes. Young adults with type 2 diabetes face challenges in self-management that older individuals are less likely to experience (being in education or of working age, higher diabetes distress, and possible obesity-related stigma and diabetes-related stigma). There is a major research gap as to the optimal strategies to deploy in managing type 2 diabetes in adolescents and young adults, given that current models of care appear to not work as well in this age group. In the face of manifold risk factors (obesity, female sex, social deprivation, non-White European ethnicity, and genetic risk factors) prevention strategies with tailored lifestyle interventions, where needed, are likely to have greater success, but more evidence is needed. In this Review, we draw on evidence from both adolescents and young adults to provide a contemporary update on the current insights and emerging trends in early-onset type 2 diabetes.
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Affiliation(s)
- Shivani Misra
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, UK; Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, UK.
| | - Calvin Ke
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Medicine, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Shylaja Srinivasan
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, University of California at San Francisco, San Francisco, CA, USA
| | - Alpesh Goyal
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Moffat J Nyriyenda
- Medical Research Council-Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine, Uganda Research Unit, Entebbe, Uganda; London School of Hygiene and Tropical Medicine, London, UK
| | - Jose C Florez
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism and Medical and Population Genetics, Broad Institute, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kamlesh Khunti
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Australia; School of Public Health and Prevention, Monash University Melbourne, Melbourne, Australia
| | - Andrea Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
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7
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Shields BM, Dennis JM, Angwin CD, Warren F, Henley WE, Farmer AJ, Sattar N, Holman RR, Jones AG, Pearson ER, Hattersley AT. Patient stratification for determining optimal second-line and third-line therapy for type 2 diabetes: the TriMaster study. Nat Med 2023; 29:376-383. [PMID: 36477733 PMCID: PMC7614216 DOI: 10.1038/s41591-022-02120-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/07/2022] [Indexed: 12/13/2022]
Abstract
Precision medicine aims to treat an individual based on their clinical characteristics. A differential drug response, critical to using these features for therapy selection, has never been examined directly in type 2 diabetes. In this study, we tested two hypotheses: (1) individuals with body mass index (BMI) > 30 kg/m2, compared to BMI ≤ 30 kg/m2, have greater glucose lowering with thiazolidinediones than with DPP4 inhibitors, and (2) individuals with estimated glomerular filtration rate (eGFR) 60-90 ml/min/1.73 m2, compared to eGFR >90 ml/min/1.73 m2, have greater glucose lowering with DPP4 inhibitors than with SGLT2 inhibitors. The primary endpoint for both hypotheses was the achieved HbA1c difference between strata for the two drugs. In total, 525 people with type 2 diabetes participated in this UK-based randomized, double-blind, three-way crossover trial of 16 weeks of treatment with each of sitagliptin 100 mg once daily, canagliflozin 100 mg once daily and pioglitazone 30 mg once daily added to metformin alone or metformin plus sulfonylurea. Overall, the achieved HbA1c was similar for the three drugs: pioglitazone 59.6 mmol/mol, sitagliptin 60.0 mmol/mol and canagliflozin 60.6 mmol/mol (P = 0.2). Participants with BMI > 30 kg/m2, compared to BMI ≤ 30 kg/m2, had a 2.88 mmol/mol (95% confidence interval (CI): 0.98, 4.79) lower HbA1c on pioglitazone than on sitagliptin (n = 356, P = 0.003). Participants with eGFR 60-90 ml/min/1.73 m2, compared to eGFR >90 ml/min/1.73 m2, had a 2.90 mmol/mol (95% CI: 1.19, 4.61) lower HbA1c on sitagliptin than on canagliflozin (n = 342, P = 0.001). There were 2,201 adverse events reported, and 447/525 (85%) randomized participants experienced an adverse event on at least one of the study drugs. In this precision medicine trial in type 2 diabetes, our findings support the use of simple, routinely available clinical measures to identify the drug class most likely to deliver the greatest glycemic reduction for a given patient. (ClinicalTrials.gov registration: NCT02653209 ; ISRCTN registration: 12039221 .).
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Affiliation(s)
- Beverley M Shields
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - John M Dennis
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Catherine D Angwin
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Fiona Warren
- Clinical Trials Unit, University of Exeter Medical School, Exeter, UK
- Institute of Health Research, University of Exeter Medical School, Exeter, UK
| | - William E Henley
- Institute of Health Research, University of Exeter Medical School, Exeter, UK
| | - Andrew J Farmer
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Naveed Sattar
- School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, UK
| | - Rury R Holman
- Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Angus G Jones
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Ewan R Pearson
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.
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8
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Dawed AY, Mari A, Brown A, McDonald TJ, Li L, Wang S, Hong MG, Sharma S, Robertson NR, Mahajan A, Wang X, Walker M, Gough S, Hart LM', Zhou K, Forgie I, Ruetten H, Pavo I, Bhatnagar P, Jones AG, Pearson ER. Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials. Lancet Diabetes Endocrinol 2023; 11:33-41. [PMID: 36528349 DOI: 10.1016/s2213-8587(22)00340-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND In the treatment of type 2 diabetes, GLP-1 receptor agonists lower blood glucose concentrations, body weight, and have cardiovascular benefits. The efficacy and side effects of GLP-1 receptor agonists vary between people. Human pharmacogenomic studies of this inter-individual variation can provide both biological insight into drug action and provide biomarkers to inform clinical decision making. We therefore aimed to identify genetic variants associated with glycaemic response to GLP-1 receptor agonist treatment. METHODS In this genome-wide analysis we included adults (aged ≥18 years) with type 2 diabetes treated with GLP-1 receptor agonists with baseline HbA1c of 7% or more (53 mmol/mol) from four prospective observational cohorts (DIRECT, PRIBA, PROMASTER, and GoDARTS) and two randomised clinical trials (HARMONY phase 3 and AWARD). The primary endpoint was HbA1c reduction at 6 months after starting GLP-1 receptor agonists. We evaluated variants in GLP1R, then did a genome-wide association study and gene-based burden tests. FINDINGS 4571 adults were included in our analysis, of these, 3339 (73%) were White European, 449 (10%) Hispanic, 312 (7%) American Indian or Alaskan Native, and 471 (10%) were other, and around 2140 (47%) of the participants were women. Variation in HbA1c reduction with GLP-1 receptor agonists treatment was associated with rs6923761G→A (Gly168Ser) in the GLP1R (0·08% [95% CI 0·04-0·12] or 0·9 mmol/mol lower reduction in HbA1c per serine, p=6·0 × 10-5) and low frequency variants in ARRB1 (optimal sequence kernel association test p=6·7 × 10-8), largely driven by rs140226575G→A (Thr370Met; 0·25% [SE 0·06] or 2·7 mmol/mol [SE 0·7] greater HbA1c reduction per methionine, p=5·2 × 10-6). A similar effect size for the ARRB1 Thr370Met was seen in Hispanic and American Indian or Alaska Native populations who have a higher frequency of this variant (6-11%) than in White European populations. Combining these two genes identified 4% of the population who had a 30% greater reduction in HbA1c than the 9% of the population with the worse response. INTERPRETATION This genome-wide pharmacogenomic study of GLP-1 receptor agonists provides novel biological and clinical insights. Clinically, when genotype is routinely available at the point of prescribing, individuals with ARRB1 variants might benefit from earlier initiation of GLP-1 receptor agonists. FUNDING Innovative Medicines Initiative and the Wellcome Trust.
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Affiliation(s)
- Adem Y Dawed
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
| | - Andrea Mari
- National Research Council Institute of Neuroscience, Padua, Italy
| | - Andrew Brown
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Timothy J McDonald
- Institute of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK
| | - Lin Li
- BioStat Solutions, Fredrick, MD, USA
| | | | - Mun-Gwan Hong
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Sapna Sharma
- Research Unit Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum Muenchen, Neuherberg, Germany
| | - Neil R Robertson
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Xuan Wang
- Science for Life Laboratory, Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Mark Walker
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - Stephen Gough
- Global Chief Medical Office, Novo Nordisk, Søborg, Denmark
| | - Leen M 't Hart
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands; Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands; Department of Epidemiology and Data Sciences, Amsterdam Public Health Institute, Amsterdam University Medical Center, location VUMC, Amsterdam, Netherlands
| | - Kaixin Zhou
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Ian Forgie
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | | | - Imre Pavo
- Eli Lilly Research Laboratories, Indianapolis, IN, USA
| | | | - Angus G Jones
- Institute of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK
| | - Ewan R Pearson
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
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9
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Siddiqui MK, Hall C, Cunningham SG, McCrimmon R, Morris A, Leese GP, Pearson ER. Using Data to Improve the Management of Diabetes: The Tayside Experience. Diabetes Care 2022; 45:2828-2837. [PMID: 36288800 DOI: 10.2337/dci22-0003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 07/12/2022] [Indexed: 02/03/2023]
Abstract
Tayside is a region in the East of Scotland and forms one of nine local government regions in the country. It is home to approximately 416,000 individuals who fall under the National Health Service (NHS) Tayside health board, which provides health care services to the population. In Tayside, Scotland, a comprehensive informatics network for diabetes care and research has been established for over 25 years. This has expanded more recently to a comprehensive Scotland-wide clinical care system, Scottish Care Information - Diabetes (SCI-Diabetes). This has enabled improved diabetes screening and integrated management of diabetic retinopathy, neuropathy, nephropathy, cardiovascular health, and other comorbidities. The regional health informatics network links all of these specialized services with comprehensive laboratory testing, prescribing records, general practitioner records, and hospitalization records. Not only do patients benefit from the seamless interconnectedness of these data, but also the Tayside bioresource has enabled considerable research opportunities and the creation of biobanks. In this article we describe how health informatics has been used to improve care of people with diabetes in Tayside and Scotland and, through anonymized data linkage, our understanding of the phenotypic and genotypic etiology of diabetes and associated complications and comorbidities.
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Affiliation(s)
- Moneeza K Siddiqui
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, U.K
| | - Christopher Hall
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, U.K
| | - Scott G Cunningham
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, U.K
| | - Rory McCrimmon
- Division of Systems Medicine, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, U.K
| | - Andrew Morris
- Usher Institute, College of Medicine and Veterinary Medicine, Edinburgh, U.K
| | - Graham P Leese
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, U.K
| | - Ewan R Pearson
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, U.K
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10
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Nazu NA, Wikström K, Lamidi ML, Lindström J, Tirkkonen H, Rautiainen P, Laatikainen T. Mode of treatments and achievement of treatment targets among type 2 diabetes patients with different comorbidities - a register-based retrospective cohort study in Finland. BMC PRIMARY CARE 2022; 23:278. [PMID: 36352358 PMCID: PMC9644526 DOI: 10.1186/s12875-022-01889-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
AIMS Type 2 diabetes (T2D) is a progressive disease often associated with comorbidities that complicate the management of T2D and affect the achievement of treatment targets. However, adherence to guidelines and individualized treatments can potentially improve treatment outcomes. This study assessed the association between different glucose lowering and lipid lowering medication lines and the achievement of treatment targets with different comorbidities among a T2D cohort in North Karelia, Finland (2011-12 to 2015-16). METHODS The data on all diagnosed T2D patients (n = 10,190) in North Karelia were collated retrospectively from regional electronic health records (EHRs). Analyses were performed considering the age, sex, and comorbidities such as cardiovascular diseases (CVD) and any mental disorders (AMD). We analyzed the trends in using glucose lowering and lipid lowering medications and the effect of changes in medication on the achievement of treatment targets among different patient groups. RESULTS Metformin was the most common treatment in all patient groups. The use of only metformin declined and the use of metformin and/or other non-insulin medications increased during the follow-up. A Combination of insulin and non-insulin medication was mostly used by T2D patients with both cardiovascular diseases and mental disorders (T2D + CVD + AMD), and the use of insulin increased among this group in follow-up. Achievement of the glucose treatment target deteriorated even after the intensification of medication among all patient groups during the follow-up. A considerably higher number of patients with T2D + AMD and T2D + CVD + AMD did not use lipid lowering medication when compared to the T2D + CVD patients both at baseline and follow-up. However, the achievement of the LDL treatment target improved during the follow-up. CONCLUSION Achievement of the glucose target deteriorated even after the intensification of treatment, and especially among patients with multiple diseases. Many T2D patients with AMD and CVD remained without lipid lowering medication, which needs further attention.
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Affiliation(s)
- Nazma Akter Nazu
- Department of Public Health, University of Helsinki,, PO BOX 63, 00014, Helsinki, Finland.
| | - Katja Wikström
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, PO BOX 1627, 70211, Kuopio, Finland
- Department of Public Health and Social welfare, Finnish Institute for Health and Welfare, PO BOX 30, 00271, Helsinki, Finland
| | - Marja-Leena Lamidi
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, PO BOX 1627, 70211, Kuopio, Finland
| | - Jaana Lindström
- Department of Public Health, University of Helsinki,, PO BOX 63, 00014, Helsinki, Finland
- Department of Public Health and Social welfare, Finnish Institute for Health and Welfare, PO BOX 30, 00271, Helsinki, Finland
| | - Hilkka Tirkkonen
- Joint municipal authority for North Karelia Social and Health Services (Siun sote), Tikkamäentie 16, 70210, Joensuu, Finland
| | - Päivi Rautiainen
- Joint municipal authority for North Karelia Social and Health Services (Siun sote), Tikkamäentie 16, 70210, Joensuu, Finland
| | - Tiina Laatikainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, PO BOX 1627, 70211, Kuopio, Finland
- Department of Public Health and Social welfare, Finnish Institute for Health and Welfare, PO BOX 30, 00271, Helsinki, Finland
- Joint municipal authority for North Karelia Social and Health Services (Siun sote), Tikkamäentie 16, 70210, Joensuu, Finland
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11
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Abstract
Adult-onset autoimmune (AOA) diabetes pathophysiology starts with immune changes, followed by dysglycaemia and overt disease. AOA diabetes can occur as classic type 1 diabetes when associated with severe loss of insulin secretion. More frequently, it is diagnosed as latent autoimmune diabetes in adults, a slowly progressing form with late onset, a long period not requiring insulin, and it is often misdiagnosed as type 2 diabetes. As its clinical presentation varies remarkably and immune markers often lack specificity, it is challenging to classify each case ad hoc, especially when insulin treatment is not required at diagnosis. Proper care of AOA diabetes aims to prevent complications and to improve quality of life and life expectancy. To achieve these goals, attention should be paid to lifestyle factors, with the aid of pharmacological therapies properly tailored to each individual clinical setting. Given the heterogeneity of the disease, choosing the right therapy for AOA diabetes is challenging. Most of the trials testing disease-modifying therapies for autoimmune diabetes are conducted in people with childhood onset, whereas non-insulin diabetes therapies have mostly been studied in the larger population with type 2 diabetes. More randomized controlled trials of therapeutic agents in AOA diabetes are needed.
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12
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Paulina C, Donnelly LA, Pearson ER. The impact of birthweight on subsequent phenotype of type 2 diabetes in later life. Diabet Med 2022; 39:e14792. [PMID: 35030268 PMCID: PMC9306733 DOI: 10.1111/dme.14792] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 01/10/2022] [Indexed: 01/02/2023]
Abstract
AIMS It is well established that low birthweight is associated with subsequent risk of type 2 diabetes (T2DM). The aim of our study was to use a large birth cohort linked to a national diabetes registry to investigate how birthweight impacts the phenotype at diagnosis of T2DM and the subsequent rate of glycaemic deterioration. METHODS We linked the Walker Birth Cohort (48,000 births, 1952-1966, Tayside, Scotland) to the national diabetes registry in Scotland (SCI-Diabetes). Birthweight was adjusted for gestational age. Simple linear regression was performed to assess the impact of the adjusted birthweight on the diabetes phenotype at diagnosis. This was then built up into a multiple regression model to allow for the adjustment of confounding variables. A cox proportional hazards model was then used to evaluate the impact of birthweight on diabetes progression. RESULTS Lower birthweights were associated with a 293 day younger age of diagnosis of T2DM per 1 kg reduction in birthweight, p = 0.005; and a 1.29 kg/m2 lower BMI at diagnosis per 1 kg reduction in birthweight, p < 0.001. There was no significant association of birthweight on diabetes progression. CONCLUSION For the first time, we have shown that a lower birthweight is associated with younger onset of T2DM, with those with lower birthweight also being slimmer at diagnosis. These results suggest that lower birthweight impacts on T2DM phenotype via reduced beta-cell function rather than insulin resistance.
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Affiliation(s)
- Christian Paulina
- Department of Population Health and GenomicsSchool of MedicineUniversity of DundeeDundeeScotland
| | - Louise A. Donnelly
- Department of Population Health and GenomicsSchool of MedicineUniversity of DundeeDundeeScotland
| | - Ewan R. Pearson
- Department of Population Health and GenomicsSchool of MedicineUniversity of DundeeDundeeScotland
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13
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Ke C, Narayan KMV, Chan JCN, Jha P, Shah BR. Pathophysiology, phenotypes and management of type 2 diabetes mellitus in Indian and Chinese populations. Nat Rev Endocrinol 2022; 18:413-432. [PMID: 35508700 PMCID: PMC9067000 DOI: 10.1038/s41574-022-00669-4] [Citation(s) in RCA: 79] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/24/2022] [Indexed: 02/08/2023]
Abstract
Nearly half of all adults with type 2 diabetes mellitus (T2DM) live in India and China. These populations have an underlying predisposition to deficient insulin secretion, which has a key role in the pathogenesis of T2DM. Indian and Chinese people might be more susceptible to hepatic or skeletal muscle insulin resistance, respectively, than other populations, resulting in specific forms of insulin deficiency. Cluster-based phenotypic analyses demonstrate a higher frequency of severe insulin-deficient diabetes mellitus and younger ages at diagnosis, lower β-cell function, lower insulin resistance and lower BMI among Indian and Chinese people compared with European people. Individuals diagnosed earliest in life have the most aggressive course of disease and the highest risk of complications. These characteristics might contribute to distinctive responses to glucose-lowering medications. Incretin-based agents are particularly effective for lowering glucose levels in these populations; they enhance incretin-augmented insulin secretion and suppress glucagon secretion. Sodium-glucose cotransporter 2 inhibitors might also lower blood levels of glucose especially effectively among Asian people, while α-glucosidase inhibitors are better tolerated in east Asian populations versus other populations. Further research is needed to better characterize and address the pathophysiology and phenotypes of T2DM in Indian and Chinese populations, and to further develop individualized treatment strategies.
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Affiliation(s)
- Calvin Ke
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
- Department of Medicine, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
- Centre for Global Health Research, Unity Health Toronto, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China.
| | - K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Nutrition and Health Sciences Program, Graduate Division of Biological and Biomedical Sciences, Laney Graduate School, Emory University, Atlanta, GA, USA
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Prabhat Jha
- Centre for Global Health Research, Unity Health Toronto, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Baiju R Shah
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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14
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Keng MJ, Leal J, Mafham M, Bowman L, Armitage J, Mihaylova B. Performance of the UK Prospective Diabetes Study Outcomes Model 2 in a Contemporary UK Type 2 Diabetes Trial Cohort. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2022; 25:435-442. [PMID: 35227456 PMCID: PMC8881217 DOI: 10.1016/j.jval.2021.09.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 08/27/2021] [Accepted: 09/06/2021] [Indexed: 06/14/2023]
Abstract
OBJECTIVES The UK Prospective Diabetes Study (UKPDS) Outcomes Model (UKPDS-OM) developed using 30-year (1977-2007) data from the UKPDS is widely used for health outcomes' projections and economic evaluations of therapies for patients with type 2 diabetes (T2D). Nevertheless, its reliability for contemporary UK T2D populations is unclear. We assessed the performance of version 2 of the model (UKPDS-OM2) using data from A Study of Cardiovascular Events in Diabetes (ASCEND), which followed participants with diabetes in the UK between 2005 and 2017. METHODS The UKPDS-OM2 was used to predict the occurrence of myocardial infarction (MI), other ischemic heart disease, stroke, cardiovascular (CV) death, and other death among the 14 569 participants with T2D in ASCEND, all without previous CV disease at study entry. Calibration (comparison of predicted and observed year-on-year cumulative incidence over 10 years) and discrimination (c-statistics) of the model were assessed for each endpoint. The percentage error in event rates at year 7 (mean duration of follow up) was used to quantify model bias. RESULTS The UKPDS-OM2 substantially overpredicted MI, stroke, CV death, and other death over the 10-year follow-up period (by 149%, 42%, 269%, and 52%, respectively, at year 7). Discrimination of the model for MI and other ischemic heart disease (c-statistics 0.58 and 0.60, respectively) was poorer than that for other outcomes (c-statistics ranging from 0.66 to 0.72). CONCLUSIONS The UKPDS-OM2 substantially overpredicted risks of key CV outcomes and death in people with T2D in ASCEND. Appropriate adjustments or a new model may be required for assessments of long-term effects of treatments in contemporary T2D cohorts.
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Affiliation(s)
- Mi Jun Keng
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; British Heart Foundation Centre of Research Excellence, Oxford, England, UK.
| | - Jose Leal
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK
| | - Marion Mafham
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK
| | - Louise Bowman
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK
| | - Jane Armitage
- British Heart Foundation Centre of Research Excellence, Oxford, England, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK
| | - Borislava Mihaylova
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Wolfson Institute of Population Health, Queen Mary University of London, London, England, UK
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15
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Kanatsuka A, Sato Y, Higashi Y, Goto Y, Kawai K, Maegawa H. Combination of disease duration-to-age at diagnosis and hemoglobin A1c-to-serum C-peptide reactivity ratios predicts patient response to glucose-lowering medication in type 2 diabetes: A retrospective cohort study across Japan (JDDM59). J Diabetes Investig 2021; 12:1967-1977. [PMID: 33837666 PMCID: PMC8565405 DOI: 10.1111/jdi.13558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 02/17/2021] [Accepted: 04/04/2021] [Indexed: 01/22/2023] Open
Abstract
AIMS/INTRODUCTION Knowing the collective clinical factors that determine patient response to glucose-lowering medication would be beneficial in the treatment of type 2 diabetes. We carried out a retrospective cohort study to explore the combination of clinical factors involved in its therapeutic efficacy. MATERIALS AND METHODS The results of cohort studies retrieved using the CoDiC® database across Japan from January 2005 to July 2018 were analyzed based on criterion that using insulin therapy indicates severe type 2 diabetes. RESULTS A logistic regression analysis showed that age at diagnosis, disease duration, hemoglobin A1c (HbA1c) and serum C-peptide reactivity (CPR) at medication commencement were associated with the probability of insulin treatment. Receiver operating characteristic curve showed that these clinical factors predicted insulin treatment positivity with an area under the curve of >0.600. The area under the curve increased to 0.674 and 0.720 for the disease duration-to-age at diagnosis ratio and HbA1c-to-CPR ratio, respectively. Furthermore, area under the curve increased to 0.727 and 0.750 in the indices (duration-to-age ratio at diagnosis × 43 + HbA1c) and (duration-to-age ration at diagnosis × 21 + HbA1c-to-CPR ratio), respectively. After stratification to three groups according to the indices, monthly HbA1c levels during 6 months of treatment were higher in the upper one-third than in the lower one-third of patients, and many patients did not achieve the target HbA1c level (53 mmol/mol) in the upper one-third, although greater than fourfold more patients were administered insulin in the upper one-third. CONCLUSIONS The combination of disease duration-to-age at diagnosis and HbA1c-to-CPR ratios is a collective risk factor that predicts response to the medications.
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Affiliation(s)
| | - Yasunori Sato
- Department of Preventive Medicine and Public HealthKeio University School of Medicine Graduate School of MedicineTokyoJapan
| | | | | | | | - Hiroshi Maegawa
- Department of MedicineDivision of Diabetology, Endocrinology, and NephrologyShiga University of Medical ScienceOtsuJapan
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16
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Brito MDF, Torre C, Silva-Lima B. Scientific Advances in Diabetes: The Impact of the Innovative Medicines Initiative. Front Med (Lausanne) 2021; 8:688438. [PMID: 34295913 PMCID: PMC8290522 DOI: 10.3389/fmed.2021.688438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/02/2021] [Indexed: 12/16/2022] Open
Abstract
Diabetes Mellitus is one of the World Health Organization's priority diseases under research by the first and second programmes of Innovative Medicines Initiative, with the acronyms IMI1 and IMI2, respectively. Up to October of 2019, 13 projects were funded by IMI for Diabetes & Metabolic disorders, namely SUMMIT, IMIDIA, DIRECT, StemBANCC, EMIF, EBiSC, INNODIA, RHAPSODY, BEAT-DKD, LITMUS, Hypo-RESOLVE, IM2PACT, and CARDIATEAM. In general, a total of €447 249 438 was spent by IMI in the area of Diabetes. In order to prompt a better integration of achievements between the different projects, we perform a literature review and used three data sources, namely the official project's websites, the contact with the project's coordinators and co-coordinator, and the CORDIS database. From the 662 citations identified, 185 were included. The data collected were integrated into the objectives proposed for the four IMI2 program research axes: (1) target and biomarker identification, (2) innovative clinical trials paradigms, (3) innovative medicines, and (4) patient-tailored adherence programmes. The IMI funded projects identified new biomarkers, medical and research tools, determinants of inter-individual variability, relevant pathways, clinical trial designs, clinical endpoints, therapeutic targets and concepts, pharmacologic agents, large-scale production strategies, and patient-centered predictive models for diabetes and its complications. Taking into account the scientific data produced, we provided a joint vision with strategies for integrating personalized medicine into healthcare practice. The major limitations of this article were the large gap of data in the libraries on the official project websites and even the Cordis database was not complete and up to date.
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Affiliation(s)
| | - Carla Torre
- Faculty of Pharmacy, University of Lisbon, Lisbon, Portugal.,Laboratory of Systems Integration Pharmacology, Clinical & Regulatory Science-Research Institute for Medicines (iMED.ULisboa), Lisbon, Portugal
| | - Beatriz Silva-Lima
- Faculty of Pharmacy, University of Lisbon, Lisbon, Portugal.,Laboratory of Systems Integration Pharmacology, Clinical & Regulatory Science-Research Institute for Medicines (iMED.ULisboa), Lisbon, Portugal
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17
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Neighborhood walkability, physical activity and changes in glycemic markers in people with type 2 diabetes: The Hoorn Diabetes Care System cohort. Health Place 2021; 69:102560. [PMID: 33756438 DOI: 10.1016/j.healthplace.2021.102560] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 03/08/2021] [Accepted: 03/08/2021] [Indexed: 12/16/2022]
Abstract
Studies investigating neighborhood walkability and physical activity in people with type 2 diabetes (T2D) mainly used self-report measures, and only few studies assessed the association with glycemic control. This study assessed the associations between objectively measured (i.e. GIS based) and subjectively measured (i.e. questionnaire-based) neighborhood walkability and changes in glycemic markers in people with T2D, and whether this association was mediated by device-measured physical activity (PA), in the Diabetes Care System Cohort (n = 1230). Neither objective or subjectively measured walkability was associated with glycemic control. In mediation analyses we observed no overall mediation by PA.
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18
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Bizzotto R, Jennison C, Jones AG, Kurbasic A, Tura A, Kennedy G, Bell JD, Thomas EL, Frost G, Eriksen R, Koivula RW, Brage S, Kaye J, Hattersley AT, Heggie A, McEvoy D, 't Hart LM, Beulens JW, Elders P, Musholt PB, Ridderstråle M, Hansen TH, Allin KH, Hansen T, Vestergaard H, Lundgaard AT, Thomsen HS, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Forgie IM, Giordano GN, Pavo I, Ruetten H, Dermitzakis E, McCarthy MI, Pedersen O, Schwenk JM, Adamski J, Franks PW, Walker M, Pearson ER, Mari A. Processes Underlying Glycemic Deterioration in Type 2 Diabetes: An IMI DIRECT Study. Diabetes Care 2021; 44:511-518. [PMID: 33323478 DOI: 10.2337/dc20-1567] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 10/31/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We investigated the processes underlying glycemic deterioration in type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS A total of 732 recently diagnosed patients with T2D from the Innovative Medicines Initiative Diabetes Research on Patient Stratification (IMI DIRECT) study were extensively phenotyped over 3 years, including measures of insulin sensitivity (OGIS), β-cell glucose sensitivity (GS), and insulin clearance (CLIm) from mixed meal tests, liver enzymes, lipid profiles, and baseline regional fat from MRI. The associations between the longitudinal metabolic patterns and HbA1c deterioration, adjusted for changes in BMI and in diabetes medications, were assessed via stepwise multivariable linear and logistic regression. RESULTS Faster HbA1c progression was independently associated with faster deterioration of OGIS and GS and increasing CLIm; visceral or liver fat, HDL-cholesterol, and triglycerides had further independent, though weaker, roles (R 2 = 0.38). A subgroup of patients with a markedly higher progression rate (fast progressors) was clearly distinguishable considering these variables only (discrimination capacity from area under the receiver operating characteristic = 0.94). The proportion of fast progressors was reduced from 56% to 8-10% in subgroups in which only one trait among OGIS, GS, and CLIm was relatively stable (odds ratios 0.07-0.09). T2D polygenic risk score and baseline pancreatic fat, glucagon-like peptide 1, glucagon, diet, and physical activity did not show an independent role. CONCLUSIONS Deteriorating insulin sensitivity and β-cell function, increasing insulin clearance, high visceral or liver fat, and worsening of the lipid profile are the crucial factors mediating glycemic deterioration of patients with T2D in the initial phase of the disease. Stabilization of a single trait among insulin sensitivity, β-cell function, and insulin clearance may be relevant to prevent progression.
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Affiliation(s)
| | | | - Angus G Jones
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.,Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Azra Kurbasic
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, Malmö, Sweden
| | - Andrea Tura
- CNR Institute of Neuroscience, Padova, Italy
| | - Gwen Kennedy
- Immunoassay Biomarker Core Laboratory, School of Medicine, Ninewells Hospital, Dundee, U.K
| | - Jimmy D Bell
- School of Life Sciences, Research Centre for Optimal Health, University of Westminster, London, U.K
| | - E Louise Thomas
- School of Life Sciences, Research Centre for Optimal Health, University of Westminster, London, U.K
| | - Gary Frost
- Section for Nutrition Research, Faculty of Medicine, Hammersmith Campus, Imperial College London, London, U.K
| | - Rebeca Eriksen
- Section for Nutrition Research, Faculty of Medicine, Hammersmith Campus, Imperial College London, London, U.K
| | - Robert W Koivula
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, Malmö, Sweden.,Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Jane Kaye
- Faculty of Law, Centre for Health, Law and Emerging Technologies, University of Oxford, Oxford, U.K.,Melbourne Law School, Centre for Health, Law and Emerging Technologies, University of Melbourne, Carlton, Victoria, Australia
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.,Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Alison Heggie
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, U.K
| | - Donna McEvoy
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle upon Tyne, U.K
| | - Leen M 't Hart
- Department of Epidemiology and Data Science, Amsterdam UMC-Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.,Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Biomedical Data Sciences, Molecular Epidemiology Section, Leiden University Medical Center, Leiden, the Netherlands
| | - Joline W Beulens
- Department of Epidemiology and Data Science, Amsterdam UMC-Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Petra Elders
- Department of General Practice, Amsterdam UMC-Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Petra B Musholt
- R&D Global Development, Translational Medicine & Clinical Pharmacology, Sanofi Deutschland GmbH, Frankfurt, Germany
| | - Martin Ridderstråle
- Clinical Pharmacology and Translational Medicine, Novo Nordisk A/S, Søborg, Denmark
| | - Tue H Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristine H Allin
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Bornholms Hospital, Rønne, Denmark
| | - Agnete T Lundgaard
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.,Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Henrik S Thomsen
- Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Federico De Masi
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Konstantinos D Tsirigos
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.,Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.,Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ana Viñuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.,Faculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle, U.K
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, U.K
| | - Timothy J McDonald
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.,Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ian M Forgie
- Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | - Hartmut Ruetten
- R&D Global Development, Translational Medicine & Clinical Pharmacology, Sanofi Deutschland GmbH, Frankfurt, Germany
| | - Emmanouil Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Mark I McCarthy
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K.,Wellcome Centre for Human Genetics, University of Oxford, Oxford, U.K.,Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, U.K
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Jerzy Adamski
- Research Unit of Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, Neuherberg, Germany.,Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Paul W Franks
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, Malmö, Sweden
| | - Mark Walker
- Faculty of Medical Sciences, Translational and Clinical Research Institute, Newcastle University, Newcastle, U.K
| | - Ewan R Pearson
- Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
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Statement of the Spanish Interdisciplinary Vascular Prevention Committee on the updated European Cardiovascular Prevention Guidelines. CLINICA E INVESTIGACION EN ARTERIOSCLEROSIS 2021; 33:85-107. [PMID: 33495044 DOI: 10.1016/j.arteri.2020.11.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 11/16/2020] [Indexed: 11/24/2022]
Abstract
We present the adaptation for Spain of the updated European Cardiovascular Prevention Guidelines. In this update, greater stress is laid on the population approach, and especially on the promotion of physical activity and healthy diet through dietary, leisure and active transport policies in Spain. To estimate vascular risk, note should be made of the importance of recalibrating the tables used, by adapting them to population shifts in the prevalence of risk factors and incidence of vascular diseases, with particular attention to the role of chronic kidney disease. At an individual level, the key element is personalised support for changes in behaviour, adherence to medication in high-risk individuals and patients with vascular disease, the fostering of physical activity, and cessation of smoking habit. Furthermore, recent clinical trials with PCSK9 inhibitors are reviewed, along with the need to simplify pharmacological treatment of arterial hypertension to improve control and adherence to treatment. In the case of patients with type 2 diabetes mellitus and vascular disease or high vascular disease risk, when lifestyle changes and metformin are inadequate, the use of drugs with proven vascular benefit should be prioritised. Lastly, guidelines on peripheral arterial disease and other specific diseases are included, as is a recommendation against prescribing antiaggregants in primary prevention.
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Li D, Zou H, Yin P, Li W, He J, Wang S, Huang L, Shao S, Chen Y, Yang Y, Yu X. Durability of glycaemic control in type 2 diabetes: A systematic review and meta-analysis for its association with body weight changes. Diabetes Obes Metab 2021; 23:208-217. [PMID: 33016522 DOI: 10.1111/dom.14217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 08/26/2020] [Accepted: 09/20/2020] [Indexed: 10/23/2022]
Abstract
AIMS To analyse quantitatively the association between the durability of glycaemic control and body weight changes during treatment. MATERIALS AND METHODS This study adhered to an appropriate methodology according to Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines. Studies with follow-ups >12 months, and final and intermediate assessments of haemoglobin A1c (HbA1c) and body weight were included. Four outcomes assessing therapeutic durability were extracted and synthesized using Stata statistical software, including changes in HbA1c, goal-achievement rate, failure rate and coefficient of failure (CoF). RESULTS After 8.9 months of treatment, HbA1c levels declined from 8.03% [95% confidence interval (CI), 7.91-8.15; I2 = 99.2%] to 7.15% (95% CI, 7.02-7.27; I2 = 99.4%) and then gradually increased up to 7.72% (95% CI, 7.50-7.94; I2 = 99.0%) 5 years later. The goal-achievement rate decreased from 54.8% (after 1 year of treatment) to 19.4% 5 years later. The CoF was 0.123 ± 0.022%/year (P < .001). After stratification, the CoFs were 0.224 ± 0.025%/year (P < .001) for weight gain, 0.137 ± 0.034%/year (P < .001) for neutral weight and -0.024 ± 0.032%/year (P = .450) for weight loss. After stratification by treatment approaches, the CoFs were 0.45%/year for insulin, 0.43%/year for sulphonylurea, 0.34%/year for thiazolidinediones, 0.29%/year for metformin, 0.16% for glucagon-like polypeptide-1 receptor agonists, 0.12% for surgery, -0.03% for sodium-glucose cotransporter-2 inhibitors and -0.21% for dipeptidyl peptidase-IV inhibitors. CONCLUSION Modest weight loss with a goal of 2-3% of body weight should be recommended to improve therapeutic durability and prevent beta-cell deterioration.
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Affiliation(s)
- Danpei Li
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - HuaJie Zou
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenjun Li
- Computer Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junyu He
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuyun Wang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Huang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiying Shao
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yong Chen
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Yang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuefeng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Lavikainen P, Aarnio E, Jalkanen K, Tirkkonen H, Rautiainen P, Laatikainen T, Martikainen J. Impact of co-payment level increase of antidiabetic medications on glycaemic control: an interrupted time-series study among Finnish patients with type 2 diabetes. BMC Health Serv Res 2020; 20:1095. [PMID: 33246453 PMCID: PMC7694920 DOI: 10.1186/s12913-020-05952-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 11/20/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A new special reimbursement scheme (SRS) for non-insulin medications used for treatment of hyperglycaemia in type 2 diabetes (T2D) was implemented in Finland on January 1, 2017. The new SRS affected all community-dwelling Finnish T2D patients as all community-dwelling residents are eligible for reimbursement for prescription medications. The aim of the study was to evaluate the impact of this co-payment increase on glycaemic control among Finnish T2D patients. METHODS Data on glycaemic control were collected with HbA1c measures from electronic health records from primary health care and specialized care in the North Karelia region, Finland, from patients with a confirmed T2D diagnosis in 2012 who were alive on January 1, 2017 (n = 8436). Average HbA1c levels were measured monthly 36 months before and 33 months after the policy change. Consumption of diabetes medications was measured with defined daily doses (DDDs) based on reimbursed medication purchases. Interrupted time series design analysed with segmented regression model was applied to examine the effect of the policy change on average HbA1c levels. RESULTS Eight thousand one hundred forty-three T2D patients had at least one HbA1c measurement within 01/2014-9/2019. Mean age of the patients was 68.1 (SD 11.3) years and 53.0% were women. Average time since T2D diagnosis was 11.5 (SD 6.1) years. An estimated increase of 0.81 (95% confidence interval, CI, 0.04-1.58) mmol/mol in average HbA1c levels was detected at the time of the policy change. In subgroup analyses, strongest effects were detected among patients who used only other diabetes medications than insulin or metformin in 2016 (3.56 mmol/mol, 95% CI 2.50-4.62). Meanwhile, yearly consumption of diabetes medications decreased slightly from 618.9 (SD 487.8) DDDs/patient in 2016 to 602.9 (SD 475.6) DDDs/patient in 2017 (p = 0.048). CONCLUSIONS Simultaneously with the increase of the co-payment level, the average HbA1c level increased among T2D patients from the North Karelia region, Finland. This may be explained by the decreased consumption of diabetes medications between 2016 and 2017. Special attention should be allocated to glycaemic control of patients utilizing only other antidiabetic medications than metformin or insulin.
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Affiliation(s)
- Piia Lavikainen
- Faculty of Health Sciences, School of Pharmacy, University of Eastern Finland, P.O.Box. 1627, FI-70211, Kuopio, Finland.
| | - Emma Aarnio
- Faculty of Health Sciences, School of Pharmacy, University of Eastern Finland, P.O.Box. 1627, FI-70211, Kuopio, Finland
| | - Kari Jalkanen
- Faculty of Health Sciences, School of Pharmacy, University of Eastern Finland, P.O.Box. 1627, FI-70211, Kuopio, Finland
| | - Hilkka Tirkkonen
- Joint Municipal Authority for North Karelia Social and Health Services (Siun Sote), Joensuu, Finland
| | - Päivi Rautiainen
- Joint Municipal Authority for North Karelia Social and Health Services (Siun Sote), Joensuu, Finland
| | - Tiina Laatikainen
- Joint Municipal Authority for North Karelia Social and Health Services (Siun Sote), Joensuu, Finland
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Janne Martikainen
- Faculty of Health Sciences, School of Pharmacy, University of Eastern Finland, P.O.Box. 1627, FI-70211, Kuopio, Finland
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Armario P, Brotons C, Elosua R, Alonso de Leciñana M, Castro A, Clarà A, Cortés O, Díaz Rodriguez Á, Herranz M, Justo S, Lahoz C, Pedro-Botet J, Pérez Pérez A, Santamaria R, Tresserras R, Aznar Lain S, Royo-Bordonada MÁ. [Statement of the Spanish Interdisciplinary Vascular Prevention Committee on the updated European Cardiovascular Prevention Guidelines]. HIPERTENSION Y RIESGO VASCULAR 2020; 38:21-43. [PMID: 33069629 DOI: 10.1016/j.hipert.2020.07.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 07/29/2020] [Indexed: 12/23/2022]
Abstract
We present the adaptation for Spain of the updated European Cardiovascular Prevention Guidelines. In this update, greater stress is laid on the population approach, and especially on the promotion of physical activity and healthy diet through dietary, leisure and active transport policies in Spain. To estimate vascular risk, note should be made of the importance of recalibrating the tables used, by adapting them to population shifts in the prevalence of risk factors and incidence of vascular diseases, with particular attention to the role of chronic kidney disease. At an individual level, the key element is personalised support for changes in behaviour, adherence to medication in high-risk individuals and patients with vascular disease, the fostering of physical activity, and cessation of smoking habit. Furthermore, recent clinical trials with PCSK9 inhibitors are reviewed, along with the need to simplify pharmacological treatment of arterial hypertension to improve control and adherence to treatment. In the case of patients with type 2 diabetes mellitus and vascular disease or high vascular disease risk, when lifestyle changes and metformin are inadequate, the use of drugs with proven vascular benefit should be prioritised. Lastly, guidelines on peripheral arterial disease and other specific diseases are included, as is a recommendation against prescribing antiaggregants in primary prevention.
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Affiliation(s)
- Pedro Armario
- Sociedad Española-Liga Española para la Lucha contra la Hipertensión Arterial, Madrid, España.
| | - Carlos Brotons
- Sociedad Española de Medicina de Familia y Comunitaria, Barcelona, España
| | | | | | - Almudena Castro
- Sociedad Española de Cardiología-Coordinadora Nacional Sección de Prevención, Madrid, España
| | - Albert Clarà
- Sociedad Española de Angiología y Cirugía Vascular, Madrid, España
| | - Olga Cortés
- Asociación Española Pediatría de Atención Primaria, Madrid, España
| | | | - María Herranz
- Federación de Asociaciones de Enfermería Comunitaria y Atención Primaria-FAECAP, Madrid, España
| | | | - Carlos Lahoz
- Sociedad Española de Medicina Interna, Madrid, España
| | | | | | | | - Ricard Tresserras
- Sociedad Española de Salud Pública y Administración Sanitaria-SESPAS, Barcelona, España
| | - Susana Aznar Lain
- Facultad de Ciencias del Deporte, Universidad Castilla La Mancha, Toledo, España
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Ke C, Stukel TA, Shah BR, Lau E, Ma RC, So WY, Kong AP, Chow E, Chan JCN, Luk A. Age at diagnosis, glycemic trajectories, and responses to oral glucose-lowering drugs in type 2 diabetes in Hong Kong: A population-based observational study. PLoS Med 2020; 17:e1003316. [PMID: 32946450 PMCID: PMC7500681 DOI: 10.1371/journal.pmed.1003316] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 08/14/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Lifetime glycemic exposure and its relationship with age at diagnosis in type 2 diabetes (T2D) are unknown. Pharmacologic glycemic management strategies for young-onset T2D (age at diagnosis <40 years) are poorly defined. We studied how age at diagnosis affects glycemic exposure, glycemic deterioration, and responses to oral glucose-lowering drugs (OGLDs). METHODS AND FINDINGS In a population-based cohort (n = 328,199; 47.2% women; mean age 34.6 and 59.3 years, respectively, for young-onset and usual-onset [age at diagnosis ≥40 years] T2D; 2002-2016), we used linear mixed-effects models to estimate the association between age at diagnosis and A1C slope (glycemic deterioration) and tested for an interaction between age at diagnosis and responses to various combinations of OGLDs during the first decade after diagnosis. In a register-based cohort (n = 21,016; 47.1% women; mean age 43.8 and 58.9 years, respectively, for young- and usual-onset T2D; 2000-2015), we estimated the glycemic exposure from diagnosis until age 75 years. People with young-onset T2D had a higher mean A1C (8.0% [standard deviation 0.15%]) versus usual-onset T2D (7.6% [0.03%]) throughout the life span (p < 0.001). The cumulative glycemic exposure was >3 times higher for young-onset versus usual-onset T2D (41.0 [95% confidence interval 39.1-42.8] versus 12.1 [11.8-12.3] A1C-years [1 A1C-year = 1 year with 8% average A1C]). Younger age at diagnosis was associated with faster glycemic deterioration (A1C slope over time +0.08% [0.078-0.084%] per year for age at diagnosis 20 years versus +0.02% [0.016-0.018%] per year for age at diagnosis 50 years; p-value for interaction <0.001). Age at diagnosis ≥60 years was associated with glycemic improvement (-0.004% [-0.005 to -0.004%] and -0.02% [-0.027 to -0.0244%] per year for ages 60 and 70 years at diagnosis, respectively; p-value for interaction <0.001). Responses to OGLDs differed by age at diagnosis (p-value for interaction <0.001). Those with young-onset T2D had smaller A1C decrements for metformin-based combinations versus usual-onset T2D (metformin alone: young-onset -0.15% [-0.105 to -0.080%], usual-onset -0.17% [-0.179 to -0.169%]; metformin, sulfonylurea, and dipeptidyl peptidase-4 inhibitor: young-onset -0.44% [-0.476 to -0.405%], usual-onset -0.48% [-0.498 to -0.459%]; metformin and α-glucosidase inhibitor: young-onset -0.40% [-0.660 to -0.144%], usual-onset -0.25% [-0.420 to -0.077%]) but greater responses to other combinations containing sulfonylureas (sulfonylurea alone: young-onset -0.08% [-0.099 to -0.065%], usual-onset +0.06% [+0.059 to +0.072%]; sulfonylurea and α-glucosidase inhibitor: young-onset -0.10% [-0.266 to 0.064%], usual-onset: 0.25% [+0.196% to +0.312%]). Limitations include possible residual confounding and unknown generalizability outside Hong Kong. CONCLUSIONS In this study, we observed excess glycemic exposure and rapid glycemic deterioration in young-onset T2D, indicating that improved treatment strategies are needed in this setting. The differential responses to OGLDs between young- and usual-onset T2D suggest that better disease classification could guide personalized therapy.
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Affiliation(s)
- Calvin Ke
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Department of Medicine, University of Toronto, Canada
| | - Thérèse A. Stukel
- Institute of Health Policy, Management and Evaluation, University of Toronto, Canada
- ICES, Toronto, Canada
| | - Baiju R. Shah
- Department of Medicine, University of Toronto, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Canada
- ICES, Toronto, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Eric Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Metropole Square, Shatin, Hong Kong SAR, China
| | - Ronald C. Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Wing-Yee So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Alice P. Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Juliana C. N. Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Metropole Square, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- * E-mail:
| | - Andrea Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Metropole Square, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
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An J, Nichols GA, Qian L, Harrison TN, Li Z, Munis MA, Wei R, Weiss T, Rajpathak S, Reynolds K. Time in suboptimal glycemic control over 10 years for patients newly diagnosed with type 2 diabetes. J Diabetes Complications 2020; 34:107607. [PMID: 32499115 DOI: 10.1016/j.jdiacomp.2020.107607] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 04/18/2020] [Accepted: 04/18/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To estimate time in suboptimal glycemic control among patients with incident type 2 diabetes (T2D) over 10 years. METHODS We calculated percent of time in suboptimal glycemic control using three A1C thresholds (8%, 7.5%, 7%) following T2D diagnosis. Stratified analyses were conducted based on age and A1C levels at T2D diagnosis. RESULTS We identified 28,315 patients with incident T2D. Percent of time in suboptimal glycemic control increased with T2D duration. Mean percent time in suboptimal A1C control in the first 2 years following diagnosis was 30%, 34% and 40% for the 8%, 7.5%, and 7% thresholds, respectively. In the 6-10 years following T2D diagnosis, the percent time in suboptimal A1C control increased to 39%, 48% and 61%, for the 8%, 7.5%, and 7% thresholds, respectively. Time in suboptimal glycemic control was longer among younger patients aged 20-44 versus ≥65 years and those with higher A1C (>8%) versus lower A1C (<7%) at diagnosis. CONCLUSIONS Over 10 years following diagnosis, T2D patients spent one-third to over one-half of their time in suboptimal glycemic control. Reducing time spent above desired A1C targets could lower risk of microvascular and macrovascular complications.
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Affiliation(s)
- Jaejin An
- Kaiser Permanente Southern California, Pasadena, CA, USA.
| | | | - Lei Qian
- Kaiser Permanente Southern California, Pasadena, CA, USA
| | | | - Zhuoxin Li
- Kaiser Permanente Southern California, Pasadena, CA, USA
| | | | - Rong Wei
- Kaiser Permanente Southern California, Pasadena, CA, USA
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Bharmal SH, Cho J, Alarcon Ramos GC, Ko J, Stuart CE, Modesto AE, Singh RG, Petrov MS. Trajectories of glycaemia following acute pancreatitis: a prospective longitudinal cohort study with 24 months follow-up. J Gastroenterol 2020; 55:775-788. [PMID: 32494905 DOI: 10.1007/s00535-020-01682-y] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 03/19/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND New-onset diabetes is the most common sequela of acute pancreatitis (AP). Yet, prospective changes in glycaemia over time have never been investigated comprehensively in this study population. The primary aim was to determine the cumulative incidence of new-onset prediabetes and new-onset diabetes after AP over 24 months of follow-up in a prospective cohort study. The secondary aim was to identify trajectories of glycaemia during follow-up and their predictors at the time of hospitalisation. METHODS Patients with a prospective diagnosis of AP and no diabetes based on the American Diabetes Association criteria were followed up every 6 months up to 24 months after hospital discharge. Incidence of new-onset prediabetes/diabetes over each follow-up period was calculated. Group-based trajectory modelling was used to identify common changes in glycaemia. Multinomial regression analyses were conducted to investigate the associations between a wide array of routinely available demographic, anthropometric, laboratory, imaging, and clinical factors and membership in the trajectory groups. RESULTS A total of 152 patients without diabetes were followed up. The cumulative incidence of new-onset prediabetes and diabetes was 20% at 6 months after hospitalisation and 43% over 24 months of follow-up (p trend < 0.001). Three discrete trajectories of glycaemia were identified: normal-stable glycaemia (32%), moderate-stable glycaemia (60%), and high-increasing glycaemia (8%). Waist circumference was a significant predictor of moderate-stable glycaemia. None of the studied predictors were significantly associated with high-increasing glycaemia. CONCLUSIONS This first prospective cohort study of changes in glycaemia (determined at structured time points in unselected AP patients) showed that at least one out of five patients develops new-onset prediabetes or diabetes at 6 months of follow-up and more than four out of ten-in the first 2 years. Changes in glycaemia after AP follow three discrete trajectories. This may inform prevention or early detection of critical changes in blood glucose metabolism following an attack of AP and, hence, reduce the burden of new-onset diabetes after acute pancreatitis.
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Affiliation(s)
- Sakina Huseni Bharmal
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | - Jaelim Cho
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | | | - Juyeon Ko
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | - Charlotte Elizabeth Stuart
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | - Andre Eto Modesto
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | - Ruma Girish Singh
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | - Maxim Sergey Petrov
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand.
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Use of preclinical models to identify markers of type 2 diabetes susceptibility and novel regulators of insulin secretion - A step towards precision medicine. Mol Metab 2020; 27S:S147-S154. [PMID: 31500826 PMCID: PMC6768503 DOI: 10.1016/j.molmet.2019.06.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Progression from pre-diabetes to type 2 diabetes (T2D) and from T2D to insulin requirement proceeds at very heterogenous rates among patient populations, and the risk of developing different types of secondary complications is also different between patients. The diagnosis of pre-diabetes and T2D solely based on blood glucose measurements cannot capture this heterogeneity, thereby preventing proposition of therapeutic strategies adapted to individual needs and pathogenetic mechanisms. There is, thus, a need to identify novel means to stratify patient populations based on a molecular knowledge of the diverse underlying causes of the disease. Such knowledge would form the basis for a precision medicine approach to preventing and treating T2D according to the need of identified patient subgroups as well as allowing better follow up of pharmacological treatment. SCOPE OF REVIEW Here, we review a systems biology approach that aims at identifying novel biomarkers for T2D susceptibility and identifying novel beta-cell and insulin target tissue genes that link the selected plasma biomarkers with insulin secretion and insulin action. This work was performed as part of two Innovative Medicine Initiative projects. The focus of the review will be on the use of preclinical models to find biomarker candidates for T2D prediction and novel regulators of beta-cell function. We will demonstrate that the study of mice with different genetic architecture and widely different adaptation to metabolic stress can be a powerful approach to identify biomarkers of T2D susceptibility in humans or for the identification of so far unrecognized genes controlling beta-cell function. MAJOR CONCLUSIONS The examples developed in this review will highlight the power of the systems biology approach, in particular as it allowed the discovery of dihydroceramide as a T2D biomarker candidate in mice and humans and the identification and characterization of novel regulators of beta-cell function.
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Mellor DD, Georgousopoulou EN, D'Cunha NM, Naumovski N, Chrysohoou C, Tousoulis D, Pitsavos C, Panagiotakos DB. Association between lipids and apolipoproteins on type 2 diabetes risk; moderating effects of gender and polymorphisms; the ATTICA study. Nutr Metab Cardiovasc Dis 2020; 30:788-795. [PMID: 32127339 DOI: 10.1016/j.numecd.2020.01.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 11/14/2019] [Accepted: 01/07/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS Type 2 diabetes mellitus (T2DM) is a condition defined by hyperglycaemia, but also often presents with dyslipidaemia and suppressed HDL cholesterol. Mendelian randomization studies have suggested a causal link between low HDL cholesterol and T2DM. However, influences of gender, polymorphisms and lifestyle, all known to influence HDL cholesterol, have not been fully explored in a prospective cohort. METHODS AND RESULTS In 2001-2002, a random sample of 1514 males (18-87 years old) and 1528 females (18-89 years old) were recruited in the ATTICA study. The 10-year follow-up (2011-2012) included 1485 participants. Lipids and lipoproteins levels, glucose and insulin levels were measured together with apolipoprotein A1 (apoA1) 75 G/A genotype, which is known to influence HDL-cholesterol. In total, 12.9% of the study sample developed T2DM within the 10-year follow-up period. In multivariable models, for each mg/dL increase in apoA1 levels in males, 10-year T2DM risk decreased 1.02%; while every unit increase in apoB/LDL-cholesterol ratio increased risk 4-fold. Finally, for every unit increase in triglycerides/apoA1 ratio, the risk increased 85%. HOMA-IR independently predicted T2DM 10-year incidence only for carriers of GG polymorphism (all, p < 0.05), but not in carriers of the GA polymorphism (all, p > 0.05). CONCLUSION ApoA1 was associated with decreased T2DM risk and TG/ApoA1 and apoB/LDL were associated with increased risk of T2DM, only in males. ApoA1 polymorphism, which is associated with lower HDL cholesterol, influenced the predictive effects of HOMA-IR on T2DM incidence, which appeared to be moderated by physical activity, suggesting potential scope for more targeted preventative strategies.
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Affiliation(s)
- Duane D Mellor
- Aston Medical School, Aston University, Birmingham, B4 7ET, United Kingdom
| | - Ekavi N Georgousopoulou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece; Medical School, Australian National University, Canberra, Australia; School of Medicine, The University of Notre Dame Australia, Sydney, Australia
| | | | - Nenad Naumovski
- Faculty of Health, University of Canberra, Canberra, Australia
| | - Christina Chrysohoou
- First Cardiology Clinic, School of Medicine, University of Athens, Athens, Greece
| | - Dimitrios Tousoulis
- First Cardiology Clinic, School of Medicine, University of Athens, Athens, Greece
| | - Christos Pitsavos
- First Cardiology Clinic, School of Medicine, University of Athens, Athens, Greece
| | - Demosthenes B Panagiotakos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece; Faculty of Health, University of Canberra, Canberra, Australia; Department of Kinesiology and Health, Rutgers University, New Jersey, USA.
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Sattar N, Rawshani A, Franzén S, Rawshani A, Svensson AM, Rosengren A, McGuire DK, Eliasson B, Gudbjörnsdottir S. Age at Diagnosis of Type 2 Diabetes Mellitus and Associations With Cardiovascular and Mortality Risks. Circulation 2020; 139:2228-2237. [PMID: 30955347 DOI: 10.1161/circulationaha.118.037885] [Citation(s) in RCA: 285] [Impact Index Per Article: 71.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Risk of cardiovascular disease (CVD) and mortality for patients with versus without type 2 diabetes mellitus (T2DM) appears to vary by the age at T2DM diagnosis, but few population studies have analyzed mortality and CVD outcomes associations across the full age range. METHODS With use of the Swedish National Diabetes Registry, everyone with T2DM registered in the Registry between 1998 and 2012 was included. Controls were randomly selected from the general population matched for age, sex, and county. The analysis cohort comprised 318 083 patients with T2DM matched with just <1.6 million controls. Participants were followed from 1998 to 2013 for CVD outcomes and to 2014 for mortality. Outcomes of interest were total mortality, cardiovascular mortality, noncardiovascular mortality, coronary heart disease, acute myocardial infarction, stroke, heart failure, and atrial fibrillation. We also examined life expectancy by age at diagnosis. We conducted the primary analyses using Cox proportional hazards models in those with no previous CVD and repeated the work in the entire cohort. RESULTS Over a median follow-up period of 5.63 years, patients with T2DM diagnosed at ≤40 years had the highest excess risk for most outcomes relative to controls with adjusted hazard ratio (95% CI) of 2.05 (1.81-2.33) for total mortality, 2.72 (2.13-3.48) for cardiovascular-related mortality, 1.95 (1.68-2.25) for noncardiovascular mortality, 4.77 (3.86-5.89) for heart failure, and 4.33 (3.82-4.91) for coronary heart disease. All risks attenuated progressively with each increasing decade at diagnostic age; by the time T2DM was diagnosed at >80 years, the adjusted hazard ratios for CVD and non-CVD mortality were <1, with excess risks for other CVD outcomes substantially attenuated. Moreover, survival in those diagnosed beyond 80 was the same as controls, whereas it was more than a decade less when T2DM was diagnosed in adolescence. Finally, hazard ratios for most outcomes were numerically greater in younger women with T2DM. CONCLUSIONS Age at diagnosis of T2DM is prognostically important for survival and cardiovascular risks, with implications for determining the timing and intensity of risk factor interventions for clinical decision making and for guideline-directed care. These observations amplify support for preventing/delaying T2DM onset in younger individuals.
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Affiliation(s)
- Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, UK (N.S.)
| | - Araz Rawshani
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sweden (Araz Rawshani, A. Rosengren, S.G.)
| | - Stefan Franzén
- The Swedish National Diabetes Register, Västra Götalandsregionen, Gothenburg, Sweden (S.F., A-M.S., S.G.).,Health Metrics Unit, the Sahlgrenska Academy, University of Gothenburg, Sweden (S.F.)
| | - Aidin Rawshani
- The Sahlgrenska University Hospital, Gothenburg, Sweden (Aidin Rawshani, A. Rosengren)
| | - Ann-Marie Svensson
- The Swedish National Diabetes Register, Västra Götalandsregionen, Gothenburg, Sweden (S.F., A-M.S., S.G.)
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sweden (Araz Rawshani, A. Rosengren, S.G.).,The Sahlgrenska University Hospital, Gothenburg, Sweden (Aidin Rawshani, A. Rosengren)
| | - Darren K McGuire
- Division of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas (D.K.M.)
| | - Björn Eliasson
- Department of Internal Medicine, Institute of Medicine, University of Gothenburg, Sweden (B.E.)
| | - Soffia Gudbjörnsdottir
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sweden (Araz Rawshani, A. Rosengren, S.G.).,The Swedish National Diabetes Register, Västra Götalandsregionen, Gothenburg, Sweden (S.F., A-M.S., S.G.)
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29
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Thakarakkattil Narayanan Nair A, Donnelly LA, Dawed AY, Gan S, Anjana RM, Viswanathan M, Palmer CNA, Pearson ER. The impact of phenotype, ethnicity and genotype on progression of type 2 diabetes mellitus. Endocrinol Diabetes Metab 2020; 3:e00108. [PMID: 32318630 PMCID: PMC7170456 DOI: 10.1002/edm2.108] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 12/07/2019] [Indexed: 12/12/2022] Open
Abstract
AIM To conduct a comprehensive review of studies of glycaemic deterioration in type 2 diabetes and identify the major factors influencing progression. METHODS We conducted a systematic literature search with terms linked to type 2 diabetes progression. All the included studies were summarized based upon the factors associated with diabetes progression and how the diabetes progression was defined. RESULTS Our search yielded 2785 articles; based on title, abstract and full-text review, we included 61 studies in the review. We identified seven criteria for diabetes progression: 'Initiation of insulin', 'Initiation of oral antidiabetic drug', 'treatment intensification', 'antidiabetic therapy failure', 'glycaemic deterioration', 'decline in beta-cell function' and 'change in insulin dose'. The determinants of diabetes progression were grouped into phenotypic, ethnicity and genotypic factors. Younger age, poorer glycaemia and higher body mass index at diabetes diagnosis were the main phenotypic factors associated with rapid progression. The effect of genotypic factors on progression was assessed using polygenic risk scores (PRS); a PRS constructed from the genetic variants linked to insulin resistance was associated with rapid glycaemic deterioration. The evidence of impact of ethnicity on progression was inconclusive due to the small number of multi-ethnic studies. CONCLUSION We have identified the major determinants of diabetes progression-younger age, higher BMI, higher HbA1c and genetic insulin resistance. The impact of ethnicity is uncertain; there is a clear need for more large-scale studies of diabetes progression in different ethnic groups.
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Affiliation(s)
| | - Louise A. Donnelly
- Population Health & GenomicsSchool of MedicineUniversity of DundeeDundeeUK
| | - Adem Y. Dawed
- Population Health & GenomicsSchool of MedicineUniversity of DundeeDundeeUK
| | - Sushrima Gan
- Population Health & GenomicsSchool of MedicineUniversity of DundeeDundeeUK
| | | | | | - Colin N. A. Palmer
- Population Health & GenomicsSchool of MedicineUniversity of DundeeDundeeUK
| | - Ewan R. Pearson
- Population Health & GenomicsSchool of MedicineUniversity of DundeeDundeeUK
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30
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Sattar N, Gill JMR, Alazawi W. Improving prevention strategies for cardiometabolic disease. Nat Med 2020; 26:320-325. [DOI: 10.1038/s41591-020-0786-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 01/31/2020] [Indexed: 02/07/2023]
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31
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Guadalupe Vargas M, Pazmiño Gomez BJ, Vera Lorenti FE, Álvarez Condo GM, Rodas Neira EI, Veron D, Fernández Veron M, Cercado AG, Bahar B, Tufro A, Veron D. Assessment of two glycated hemoglobin immunoassays. ACTA ACUST UNITED AC 2019; 67:297-303. [PMID: 31859182 DOI: 10.1016/j.endinu.2019.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 09/12/2019] [Accepted: 09/23/2019] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Glycated hemoglobin (HbA1c) level reflects chronic glycemic status if reliable tests are used, however, in some regions worldwide high performing assays might not be readily available. This study aimed to asses two HbA1c immunoassays, comparing them with high-performance liquid chromatography (HPLC) assay, three methods available in Ecuador. MATERIAL AND METHODS HbA1c were measured in 114 fresh whole blood-samples by DCA-Vantage point-of-care analyzer, I-Chroma portable fluorescent scanner immunoassay and BioRad Variant II Turbo HPLC. Normal and pathological HbA1c ranges were included. Blood samples with variants of hemoglobin were excluded. HbA1c values were expressed in National Glycohemoglobin Standardization Program percentages and mmol/mol, as mean±standard deviation. RESULTS HbA1c results by HPLC and DCA-Vantage were similar: 6.3±1.7% (45±18.6mmol/mol) vs. 6.3±1.8% (45±19.7mmol/mol), respectively, P=0.057; while HbA1c values by I-Chroma were lower than HPLC, 5.8±1.9% (40±20.8mmol/mol), P<0.001. The coefficient of variation was below 2% for high and low HbA1c levels, in all methods studied. HbA1c values by HPLC and DCA-Vantage were highly correlated (Spearman's Rank Correlation [SRC]: 0.916), while the correlation among HPLC and I-Chroma was weak (SRC: 0.368). The mean bias between DCA-Vantage and HPLC was -0.02±0.29% (-0.2±3.2mmol/mol), while for I-Chroma and HPLC mean bias was -0.50±1.62% (-5.5±17.7mmol/mol). CONCLUSION HbA1c immunoassays DCA-Vantage was comparable to HPLC assay, showing good correlation, appropriate precision and low bias, whereas I-Chroma assay was precise but inaccurate. Therefore, DCA-Vantage has better performance than I-Chroma. These findings suggest that is convenient to assess the HbA1c immunoassays commercially available in our country, Ecuador.
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Affiliation(s)
- M Guadalupe Vargas
- Facultad de Ciencias de la Salud, Universidad Estatal de Milagro, Milagro, Guayas, Ecuador
| | - B J Pazmiño Gomez
- Facultad de Ciencias de la Salud, Universidad Estatal de Milagro, Milagro, Guayas, Ecuador
| | - F E Vera Lorenti
- Facultad de Ciencias de la Salud, Universidad Estatal de Milagro, Milagro, Guayas, Ecuador
| | - G M Álvarez Condo
- Facultad de Ciencias de la Salud, Universidad Estatal de Milagro, Milagro, Guayas, Ecuador
| | - E I Rodas Neira
- Laboratorio Clínico y Microbiológico Pazmiño, Milagro, Guayas, Ecuador
| | - D Veron
- Facultad de Ciencias Sociales, Escuela de Trabajo Social, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - M Fernández Veron
- Escuela de Diseño Industrial, Facultad de Arquitectura, Diseño y Urbanismo, Universidad de Buenos Aires, Argentina
| | - A G Cercado
- Facultad de Ciencias de la Salud, Universidad Estatal de Milagro, Milagro, Guayas, Ecuador
| | - B Bahar
- Department of Laboratory Medicine and Department of Pediatrics and Cell and Molecular Physiology, Yale University School of Medicine, New Haven, CT, USA
| | - A Tufro
- Department of Laboratory Medicine and Department of Pediatrics and Cell and Molecular Physiology, Yale University School of Medicine, New Haven, CT, USA
| | - D Veron
- Facultad de Ciencias de la Salud, Universidad Estatal de Milagro, Milagro, Guayas, Ecuador.
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Dennis JM, Shields BM, Henley WE, Jones AG, Hattersley AT. Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared with models based on simple clinical features: an analysis using clinical trial data. Lancet Diabetes Endocrinol 2019; 7:442-451. [PMID: 31047901 PMCID: PMC6520497 DOI: 10.1016/s2213-8587(19)30087-7] [Citation(s) in RCA: 220] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 02/20/2019] [Accepted: 02/21/2019] [Indexed: 02/08/2023]
Abstract
BACKGROUND Research using data-driven cluster analysis has proposed five subgroups of diabetes with differences in diabetes progression and risk of complications. We aimed to compare the clinical utility of this subgroup-based approach for predicting patient outcomes with an alternative strategy of developing models for each outcome using simple patient characteristics. METHODS We identified five clusters in the ADOPT trial (n=4351) using the same data-driven cluster analysis as reported by Ahlqvist and colleagues. Differences between clusters in glycaemic and renal progression were investigated and contrasted with stratification using simple continuous clinical features (age at diagnosis for glycaemic progression and baseline renal function for renal progression). We compared the effectiveness of a strategy of selecting glucose-lowering therapy using clusters with one combining simple clinical features (sex, BMI, age at diagnosis, baseline HbA1c) in an independent trial cohort (RECORD [n=4447]). FINDINGS Clusters identified in trial data were similar to those described in the original study by Ahlqvist and colleagues. Clusters showed differences in glycaemic progression, but a model using age at diagnosis alone explained a similar amount of variation in progression. We found differences in incidence of chronic kidney disease between clusters; however, estimated glomerular filtration rate at baseline was a better predictor of time to chronic kidney disease. Clusters differed in glycaemic response, with a particular benefit for thiazolidinediones in patients in the severe insulin-resistant diabetes cluster and for sulfonylureas in patients in the mild age-related diabetes cluster. However, simple clinical features outperformed clusters to select therapy for individual patients. INTERPRETATION The proposed data-driven clusters differ in diabetes progression and treatment response, but models that are based on simple continuous clinical features are more useful to stratify patients. This finding suggests that precision medicine in type 2 diabetes is likely to have most clinical utility if it is based on an approach of using specific phenotypic measures to predict specific outcomes, rather than assigning patients to subgroups. FUNDING UK Medical Research Council.
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Affiliation(s)
- John M Dennis
- Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK
| | - Beverley M Shields
- Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK
| | - William E Henley
- Health Statistics Group, Institute of Health Research, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK
| | - Angus G Jones
- Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK.
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33
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Nazu NA, Lindström J, Rautiainen P, Tirkkonen H, Wikström K, Repo T, Laatikainen T. Maintenance of good glycaemic control is challenging - A cohort study of type 2 diabetes patient in North Karelia, Finland. Int J Clin Pract 2019; 73:e13313. [PMID: 30664318 DOI: 10.1111/ijcp.13313] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 01/18/2019] [Indexed: 11/28/2022] Open
Abstract
AIMS This study assessed type 2 diabetes treatment outcomes and process indicators using a comprehensive type 2 diabetes patient cohort in North Karelia, Finland, from 2011 to 2016. METHODS Data from all diagnosed type 2 diabetes patients (n = 8429) living in North Karelia were collated retrospectively from regional electronic patient records. We assessed whether HbA1c and low-density lipoprotein (LDL) were measured and managed as recommended. RESULTS The HbA1c measurement rate improved (78% vs 89%) during 2011-2012 and 2015-2016, but a gradual deterioration in glycaemic control (HbA1c < 7.0% or 53 mmol/mol) was observed among both females (75% vs 67%) and males (72% vs 64%). The LDL measurement rate initially improved from the baseline. LDL control (<2.5 mmol/L) improved among both females (52% vs 59%) and males (58% vs 66%). A gender difference was observed in the achievement of the treatment target for LDL, with females showing worse control. CONCLUSIONS Low-density lipoprotein (LDL) control in type 2 diabetes patients has improved, but the existence of gender disparities needs further attention. Maintaining appropriate HbA1c control among type 2 diabetes patients over time appears to be difficult. Active follow-up and tailored treatment have the potential to improve the quality of care. Electronic patient records could be more efficiently used to improve the quality of care and to support decision-making.
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Affiliation(s)
- Nazma Akter Nazu
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Jaana Lindström
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Päivi Rautiainen
- Joint Municipal Authority for North Karelia Social and Health Services (Siun Sote), Joensuu, Finland
| | - Hilkka Tirkkonen
- Joint Municipal Authority for North Karelia Social and Health Services (Siun Sote), Joensuu, Finland
| | - Katja Wikström
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Teppo Repo
- Department of Geographical and Historical Studies, University of Eastern Finland, Joensuu, Finland
| | - Tiina Laatikainen
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
- Joint Municipal Authority for North Karelia Social and Health Services (Siun Sote), Joensuu, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
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Krzymien J, Ladyzynski P. Insulin in Type 1 and Type 2 Diabetes-Should the Dose of Insulin Before a Meal be Based on Glycemia or Meal Content? Nutrients 2019; 11:E607. [PMID: 30871141 PMCID: PMC6471836 DOI: 10.3390/nu11030607] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 03/03/2019] [Accepted: 03/08/2019] [Indexed: 12/21/2022] Open
Abstract
The aim of this review was to investigate existing guidelines and scientific evidence on determining insulin dosage in people with type 1 and type 2 diabetes, and in particular to check whether the prandial insulin dose should be calculated based on glycemia or the meal composition, including the carbohydrates, protein and fat content in a meal. By exploring the effect of the meal composition on postprandial glycemia we demonstrated that several factors may influence the increase in glycemia after the meal, which creates significant practical difficulties in determining the appropriate prandial insulin dose. Then we reviewed effects of the existing insulin therapy regimens on glycemic control. We demonstrated that in most existing algorithms aimed at calculating prandial insulin doses in type 1 diabetes only carbohydrates are counted, whereas in type 2 diabetes the meal content is often not taken into consideration. We conclude that prandial insulin doses in treatment of people with diabetes should take into account the pre-meal glycemia as well as the size and composition of meals. However, there are still open questions regarding the optimal way to adjust a prandial insulin dose to a meal and the possible benefits for people with type 1 and type 2 diabetes if particular parameters of the meal are taken into account while calculating the prandial insulin dose. The answers to these questions may vary depending on the type of diabetes.
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Affiliation(s)
- Janusz Krzymien
- Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences, 4 Trojdena Street, 02-109 Warsaw, Poland.
| | - Piotr Ladyzynski
- Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences, 4 Trojdena Street, 02-109 Warsaw, Poland.
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Lv F, Cai X, Hu D, Pan C, Zhang D, Xu J, Ji L. Characteristics of Newly Diagnosed Type 2 Diabetes in Chinese Older Adults: A National Prospective Cohort Study. J Diabetes Res 2019; 2019:5631620. [PMID: 31828163 PMCID: PMC6885297 DOI: 10.1155/2019/5631620] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 10/07/2019] [Accepted: 10/15/2019] [Indexed: 12/18/2022] Open
Abstract
AIM To investigate the metabolic profiles of newly diagnosed type 2 diabetes (NEW2D) in Chinese older adults (≥65 years) and assess the proportion of patients who achieved the targeted goals of blood glucose, blood pressure, and blood lipid. METHODS NEW2D study was an observational, longitudinal, prospective cohort study involving patients who were diagnosed with type 2 diabetes (T2D) within the past 6 months and had a follow-up of 12 months. Participants were divided into younger NEW2D group (aged 20-65 years old) and older NEW2D group (aged ≥65 years old) according to age of diabetes onset. The baseline metabolic profiles were compared and the proportion of patients achieving adequate control of blood glucose, blood pressure, and blood lipids in reference to target goals were assessed during treatment. RESULTS The older NEW2D (n = 1362) had a lower BMI, HbA1c%, diastolic blood pressure, triglyceride, low-density lipoprotein cholesterol (LDL-C), and total cholesterol, higher systolic blood pressure, and high-density lipoprotein cholesterol levels at baseline. 47.8%, 66.7%, and 39.4% reached the target of HbA1c < 7.0%, BP < 140/90 mmHg, and LDL - C < 2.6 mmol/L, respectively. After 12 months, the proportion achieving above three targets increased to 70.2%, 76.1%, and 47.5%, respectively. The proportions of patients achieving three combined therapeutic targets doubled from 13.5% to 26.7%. CONCLUSION The older NEW2D patients have special metabolic profiles compared with younger patients. The control of cardiovascular disease risk factors was suboptimal in older adults with type 2 diabetes.
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Affiliation(s)
- Fang Lv
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Xiaoling Cai
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Dayi Hu
- Department of Cardiology, Peking University People's Hospital, Beijing, China
| | - Changyu Pan
- Department of Endocrinology and Metabolism, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Danyi Zhang
- VitalStrategic Research Institute, Shanghai, China
| | - Jie Xu
- VitalStrategic Research Institute, Shanghai, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
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Rigalleau V, Benoit J, Charret L, Bertrand C, Foussard N, Blanco L, Alexandre L, Monlun M, Mohammedi K. Longitudinal trends in HbA1c in diabetes: Stable means can hide meaningful long-term changes. Diabetes Metab Res Rev 2018; 34:e3065. [PMID: 30123984 DOI: 10.1002/dmrr.3065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 07/02/2018] [Accepted: 07/29/2018] [Indexed: 12/13/2022]
Affiliation(s)
- Vincent Rigalleau
- Endocrinology-Nutrition Department, Centre Hospitalier Universitaire de Bordeaux, Université de Bordeaux, Bordeaux, France
| | - Julie Benoit
- Endocrinology-Nutrition Department, Centre Hospitalier Universitaire de Bordeaux, Université de Bordeaux, Bordeaux, France
| | - Léa Charret
- Endocrinology-Nutrition Department, Centre Hospitalier Universitaire de Bordeaux, Université de Bordeaux, Bordeaux, France
| | - Capucine Bertrand
- Endocrinology-Nutrition Department, Centre Hospitalier Universitaire de Bordeaux, Université de Bordeaux, Bordeaux, France
| | - Ninon Foussard
- Endocrinology-Nutrition Department, Centre Hospitalier Universitaire de Bordeaux, Université de Bordeaux, Bordeaux, France
| | - Laurence Blanco
- Endocrinology-Nutrition Department, Centre Hospitalier Universitaire de Bordeaux, Université de Bordeaux, Bordeaux, France
| | - Laure Alexandre
- Endocrinology-Nutrition Department, Centre Hospitalier Universitaire de Bordeaux, Université de Bordeaux, Bordeaux, France
| | - Marie Monlun
- Endocrinology-Nutrition Department, Centre Hospitalier Universitaire de Bordeaux, Université de Bordeaux, Bordeaux, France
| | - Kamel Mohammedi
- Endocrinology-Nutrition Department, Centre Hospitalier Universitaire de Bordeaux, Université de Bordeaux, Bordeaux, France
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Mishra R, Hodge KM, Cousminer DL, Leslie RD, Grant SFA. A Global Perspective of Latent Autoimmune Diabetes in Adults. Trends Endocrinol Metab 2018; 29:638-650. [PMID: 30041834 DOI: 10.1016/j.tem.2018.07.001] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 06/30/2018] [Accepted: 07/02/2018] [Indexed: 12/21/2022]
Abstract
Latent autoimmune diabetes in adults (LADA) is characterized by the presence of islet autoantibodies and initial insulin independence, which can lead to misdiagnosis of type 2 diabetes (T2D). As such, understanding the genetic etiology of LADA could aid in more accurate diagnosis. However, there is ongoing debate regarding the exact definition of LADA, so understanding its impact in different populations when contrasted with type 1 diabetes (T1D) and T2D is one potential strategy to gain insight into its etiology. Unfortunately, the lack of consistent and thorough autoantibody screening around the world has hampered well-powered genetic studies of LADA. This review highlights recent genetic and epidemiological studies of LADA in diverse populations as well as the importance of autoantibody screening in facilitating future research.
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Affiliation(s)
- Rajashree Mishra
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; These authors contributed equally
| | - Kenyaita M Hodge
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; These authors contributed equally
| | - Diana L Cousminer
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Richard D Leslie
- Department of Immunobiology, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AD, UK
| | - Struan F A Grant
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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