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van Raalte DH, Bjornstad P, Cherney DZI, de Boer IH, Fioretto P, Gordin D, Persson F, Rosas SE, Rossing P, Schaub JA, Tuttle K, Waikar SS, Heerspink HJL. Combination therapy for kidney disease in people with diabetes mellitus. Nat Rev Nephrol 2024:10.1038/s41581-024-00827-z. [PMID: 38570632 DOI: 10.1038/s41581-024-00827-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/29/2024] [Indexed: 04/05/2024]
Abstract
Diabetic kidney disease (DKD), defined as co-existing diabetes and chronic kidney disease in the absence of other clear causes of kidney injury, occurs in approximately 20-40% of patients with diabetes mellitus. As the global prevalence of diabetes has increased, DKD has become highly prevalent and a leading cause of kidney failure, accelerated cardiovascular disease, premature mortality and global health care expenditure. Multiple pathophysiological mechanisms contribute to DKD, and single lifestyle or pharmacological interventions have shown limited efficacy at preserving kidney function. For nearly two decades, renin-angiotensin system inhibitors were the only available kidney-protective drugs. However, several new drug classes, including sodium glucose cotransporter-2 inhibitors, a non-steroidal mineralocorticoid antagonist and a selective endothelin receptor antagonist, have now been demonstrated to improve kidney outcomes in people with type 2 diabetes mellitus. In addition, emerging preclinical and clinical evidence of the kidney-protective effects of glucagon-like-peptide-1 receptor agonists has led to the prospective testing of these agents for DKD. Research and clinical efforts are geared towards using therapies with potentially complementary efficacy in combination to safely halt kidney disease progression. As more kidney-protective drugs become available, the outlook for people living with DKD should improve in the next few decades.
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Affiliation(s)
- Daniël H van Raalte
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, VUMC, Amsterdam, The Netherlands.
- Diabetes Center, Amsterdam University Medical Centers, VUMC, Amsterdam, The Netherlands.
- Research Institute for Cardiovascular Sciences, VU University, Amsterdam, The Netherlands.
| | - Petter Bjornstad
- University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - David Z I Cherney
- Department of Medicine, Division of Nephrology, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Ian H de Boer
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Paola Fioretto
- Department of Medicine, University of Padua, Unit of Medical Clinic 3, Padua, Italy
| | - Daniel Gordin
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Sylvia E Rosas
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Jennifer A Schaub
- Nephrology Division, Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Katherine Tuttle
- Providence Medical Research Center, Providence Inland Northwest Health, Spokane, Washington, USA
- Department of Medicine, University of Washington School of Medicine, Spokane and Seattle, Washington, USA
- Nephrology Division, Kidney Research Institute and Institute of Translational Health Sciences, University of Washington, Spokane and Seattle, Washington, USA
| | - Sushrut S Waikar
- Section of Nephrology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, Massachusetts, USA
| | - Hiddo J L Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- The George Institute for Global Health, Sydney, New South Wales, Australia
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Day DB, Melough MM, Flynn JT, Zhu H, Kannan K, Ruzinski J, de Boer IH, Sathyanarayana S. Environmental exposure to melamine and its derivatives and kidney outcomes in children. Environ Res 2024; 252:118789. [PMID: 38555096 DOI: 10.1016/j.envres.2024.118789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/18/2024] [Accepted: 03/23/2024] [Indexed: 04/02/2024]
Abstract
Melamine caused acute nephrotoxicity in a past food adulteration incident, but it is unclear whether and how widespread ambient exposure to melamine and related compounds might affect pediatric kidney health. We assessed cross-sectional associations between childhood exposure to melamine and its derivatives and biomarkers of kidney injury and health and explored potential heterogeneity by sex suggested by sex-dependent differences in renal physiology. We measured melamine and its derivatives ammeline, ammelide, and cyanuric acid (CYA) in spot urine samples collected from 192 children from an urban site (Seattle, WA) and 187 children from a rural site (Yakima, WA) aged 4-8 years in the Global Alliance to Prevent Prematurity and Stillbirth (GAPPS) Study. In addition, biomarkers of kidney injury were measured in the same urine samples, including albumin, total protein, KIM-1, NAG, NGAL, and EGF. We utilized linear regressions to examine associations between individual chemical exposures and kidney biomarkers. Interaction terms examined association modification by sex, as well as potential interactions between melamine and CYA. Despite comparable exposures, girls had higher levels of many kidney injury biomarkers compared to boys. A ten-fold higher melamine concentration was associated with a 18% (95% CI: 5.6%, 31%) higher EGF in the full sample, while ten-fold higher melamine was associated with a 76% (14.1%, 173%) higher KIM-1 in boys but not in girls (-10.1% (-40.6%, 36.1%), interaction p = 0.026). Melamine exhibited significant negative interactions with CYA in association with total protein and NAG that appeared to be specific to girls. Our results suggest possible associations between melamine exposure and markers of kidney injury that may be more pronounced in boys. These findings provide novel insights into melamine and related derivative compound health effects at low levels of exposure in children and emphasize the role of sex in mediating the relationship between nephrotoxicant exposure and kidney injury.
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Affiliation(s)
- Drew B Day
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, 1920 Terry Ave, Seattle, WA, 98101, USA.
| | - Melissa M Melough
- Department of Health Behavior and Nutrition Sciences, University of Delaware, Newark, DE, 19713, USA.
| | - Joseph T Flynn
- Division of Nephrology, Seattle Children's Hospital, 4800 Sand Point NE, Seattle, WA, 98105, USA; Department of Pediatrics, University of Washington, 1959 Northeast Pacific Street, Seattle, WA, 98195, USA.
| | - Hongkai Zhu
- Department of Environmental Medicine, Nankai University, No. 38 Tongyan Road, Jinnan District, Tianjin, 300350, China.
| | | | - John Ruzinski
- Kidney Research Institute, Department of Nephrology, University of Washington, 908 Jefferson St, Seattle, WA, 98104, USA.
| | - Ian H de Boer
- Kidney Research Institute, Department of Nephrology, University of Washington, 908 Jefferson St, Seattle, WA, 98104, USA.
| | - Sheela Sathyanarayana
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, 1920 Terry Ave, Seattle, WA, 98101, USA; Department of Pediatrics, University of Washington, 1959 Northeast Pacific Street, Seattle, WA, 98195, USA.
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Hsu S, Bansal N, Denburg M, Ginsberg C, Hoofnagle AN, Isakova T, Ix JH, Robinson-Cohen C, Wolf M, Kestenbaum BR, de Boer IH, Zelnick LR. Risk factors for hip and vertebral fractures in chronic kidney disease: the CRIC study. J Bone Miner Res 2024:zjae021. [PMID: 38477777 DOI: 10.1093/jbmr/zjae021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/19/2024] [Accepted: 02/02/2024] [Indexed: 03/14/2024]
Abstract
Fracture risk is high in chronic kidney disease (CKD) and underlying pathophysiology and risk factors may differ from the general population. In a cohort study of 3939 participants in the Chronic Renal Insufficiency Cohort (CRIC), we used Cox regression to test associations of putative risk factors with the composite of first hip or vertebral fracture assessed using hospital discharge codes. Mean age was 58 years, 45% were female, 42% were Black, and 13% were Hispanic. There were 82 hip and 24 vertebral fractures over a mean (SD) 11.1 (4.8) years (2.4 events per 1000 person-years [95% CI: 2.0, 2.9]). Measured at baseline, diabetes, lower body mass index (BMI), steroid use, proteinuria, and elevated parathyroid hormone (PTH) were each associated with fracture risk after adjusting for covariates. Lower time-updated estimated glomerular filtration rate (eGFR) was associated with fractures (HR 1.20 per 10 mL/min/1.73m2 lower eGFR; 95% CI: 1.04, 1.38) as were lower time-updated serum calcium and bicarbonate concentrations. Among time-updated categories of kidney function, hazard ratios (95% CI) for incident fracture were 4.53 (1.77, 11.60) for kidney failure treated with dialysis and 2.48 (0.86, 7.14) for post-kidney transplantation, compared with eGFR ≥60. Proton pump inhibitor use, dietary calcium intake, measures of vitamin D status, serum phosphate, urine calcium and phosphate, and plasma fibroblast growth factor-23 were not associated with fracture risk. In conclusion, lower eGFR in CKD is associated with higher fracture risk, which was highest in kidney failure. Diabetes, lower BMI, steroid use, proteinuria, higher serum concentrations of PTH, and lower calcium and bicarbonate concentrations were associated with fractures and may be modifiable risk factors.
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Affiliation(s)
- Simon Hsu
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
| | - Nisha Bansal
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
| | - Michelle Denburg
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, PA
- Departments of Pediatrics and Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Charles Ginsberg
- Division of Nephrology-Hypertension, University of California, San Diego, San Diego, CA
| | - Andrew N Hoofnagle
- Department of Laboratory Medicine, University of Washington, Seattle, WA
| | - Tamara Isakova
- Division of Nephrology and Hypertension, Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Joachim H Ix
- Division of Nephrology-Hypertension, University of California, San Diego, San Diego, CA
| | | | - Myles Wolf
- Division of Nephrology, Department of Medicine, Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Bryan R Kestenbaum
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
| | - Ian H de Boer
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
| | - Leila R Zelnick
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
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Charu V, Liang JW, Chertow GM, Li J, Montez-Rath ME, Geldsetzer P, de Boer IH, Tian L, Tamura MK. Heterogeneous Treatment Effects of Intensive Glycemic Control on Kidney Microvascular Outcomes and Mortality in ACCORD. J Am Soc Nephrol 2024; 35:216-228. [PMID: 38073026 PMCID: PMC10843221 DOI: 10.1681/asn.0000000000000272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 10/30/2023] [Indexed: 12/26/2023] Open
Abstract
SIGNIFICANCE STATEMENT Identifying and quantifying treatment effect variation across patients is the fundamental challenge of precision medicine. Here we quantify heterogeneous treatment effects of intensive glycemic control in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial, considering three outcomes of interest-a composite kidney outcome (driven by macroalbuminuria), all-cause mortality, and first assisted hypoglycemic event. We demonstrate that the effects of intensive glycemic control vary with risk of kidney failure, as predicted by the kidney failure risk equation (KFRE). Participants at highest risk of kidney failure gain the largest absolute kidney benefit of intensive glycemic control but also experience the largest absolute risk of death and hypoglycemic events. Our findings illustrate the value of identifying clinically meaningful treatment heterogeneity, particularly when treatments have different effects on multiple end points. OBJECTIVE Clear criteria to individualize glycemic targets in patients with type II diabetes are lacking. In this post hoc analysis of the ACCORD, we evaluate whether the KFRE can identify patients for whom intensive glycemic control confers more benefit in preventing kidney microvascular outcomes. RESEARCH DESIGN AND METHODS We divided the ACCORD trial population into quartiles on the basis of 5-year kidney failure risk using the KFRE. We estimated conditional treatment effects within each quartile and compared them with the average treatment effect in the trial. The treatment effects of interest were the 7-year restricted mean survival time (RMST) differences between intensive and standard glycemic control arms on ( 1 ) time-to-first development of severely elevated albuminuria or kidney failure and ( 2 ) all-cause mortality. RESULTS We found evidence that the effect of intensive glycemic control on kidney microvascular outcomes and all-cause mortality varies with baseline risk of kidney failure. Patients with elevated baseline risk of kidney failure derived the most from intensive glycemic control in reducing kidney microvascular outcomes (7-year RMST difference of 114.8 [95% confidence interval 58.1 to 176.4] versus 48.4 [25.3 to 69.6] days in the entire trial population) However, this same patient group also experienced a shorter time to death (7-year RMST difference of -56.7 [-100.2 to -17.5] v. -23.6 [-42.2 to -6.6] days). CONCLUSIONS We found evidence of heterogenous treatment effects of intensive glycemic control on kidney microvascular outcomes in ACCORD as a function of predicted baseline risk of kidney failure. Patients with higher kidney failure risk experienced the most pronounced reduction in kidney microvascular outcomes but also experienced the highest risk of all-cause mortality.
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Affiliation(s)
- Vivek Charu
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Jane W. Liang
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Glenn M. Chertow
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
| | - June Li
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
| | - Maria E. Montez-Rath
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Pascal Geldsetzer
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Ian H. de Boer
- Division of Nephrology, Department of Medicine, and the Kidney Research Institute, University of Washington, Seattle, Washington
| | - Lu Tian
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California
| | - Manjula Kurella Tamura
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Geriatric Research and Education Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California
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Hsu S, Zelnick LR, Buring JE, Chou SH, Cook NR, D'Agostino D, Hoofnagle AN, LeBoff MS, Lee IM, Limonte CP, Sesso HD, Manson JE, de Boer IH. Effects of Vitamin D3 Supplementation on Incident Fractures by eGFR in VITAL. Clin J Am Soc Nephrol 2024:01277230-990000000-00348. [PMID: 38265769 DOI: 10.2215/cjn.0000000000000434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 01/19/2024] [Indexed: 01/25/2024]
Affiliation(s)
- Simon Hsu
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
| | - Leila R Zelnick
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
| | - Julie E Buring
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Sharon H Chou
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Nancy R Cook
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Denise D'Agostino
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Andrew N Hoofnagle
- Department of Laboratory Medicine, University of Washington, Seattle, WA
| | - Meryl S LeBoff
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - I-Min Lee
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Christine P Limonte
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
| | - Howard D Sesso
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - JoAnn E Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Ian H de Boer
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, WA
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Shah HS, McGill JB, Hirsch IB, Wu C, Galecki A, de Boer IH, Mauer M, Doria A. Poor glycemic control is associated with more rapid kidney function decline after the onset of diabetic kidney disease. J Clin Endocrinol Metab 2024:dgae044. [PMID: 38262002 DOI: 10.1210/clinem/dgae044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND The role of glycemic control and its variability on the rate of kidney function decline after the onset of diabetic kidney disease (DKD) remains unclear. METHODS The association between baseline HbA1c and rates of estimated GFR (eGFR) loss during follow-up was examined by mixed-effects linear regression in 530 individuals with type 1 diabetes and early-to-moderate DKD from the Preventing Early Renal Loss (PERL) trial, and 2,378 individuals with type 2 diabetes and established DKD from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial. The benefit of intensive vs. standard glycemic control in slowing eGFR decline was examined in ACCORD. The associations between continuous glucose monitoring-derived short-term glycemic variability indices and rate of GFR decline were also evaluated in PERL. RESULTS A higher baseline HbA1c was associated with a more negative eGFR slope in both PERL and ACCORD (-0.87 and -0.27 ml/min/1.73m2/year per Hba1c unit increment, p<0.0001 and p=0.0002, respectively). In both studies, the strength of this association progressively increased with increasing levels of albuminuria (p for interaction <0.05). Consistent with this, the benefit of intensive glycemic control on eGFR decline was greater in ACCORD participants with severe than in those with moderate albuminuria (+1.13 vs. +0.26 ml/min/1.73 m2/year, p=0.01). No independent associations were found in PERL between short-term glycemic variability indices and rate of eGFR decline. CONCLUSIONS In both type 1 and type 2 diabetes, poor glycemic control is associated with a more rapid rate of GFR decline after DKD onset, especially in persons with severe albuminuria.
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Affiliation(s)
- Hetal S Shah
- Joslin Diabetes Center/Harvard Medical School, Boston, MA
| | | | | | - Chunyi Wu
- University of Michigan, Ann Arbor, MI
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7
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Sofianopoulou E, Kaptoge SK, Afzal S, Jiang T, Gill D, Gundersen TE, Bolton TR, Allara E, Arnold MG, Mason AM, Chung R, Pennells LAM, Shi F, Sun L, Willeit P, Forouhi NG, Langenberg C, Sharp SJ, Panico S, Engström G, Melander O, Tong TYN, Perez-Cornago A, Norberg M, Johansson I, Katzke V, Srour B, Sánchez MJ, Redondo-Sánchez D, Olsen A, Dahm CC, Overvad K, Brustad M, Skeie G, Moreno-Iribas C, Onland-Moret NC, van der Schouw YT, Tsilidis KK, Heath AK, Agnoli C, Krogh V, de Boer IH, Kobylecki CJ, Çolak Y, Zittermann A, Sundström J, Welsh P, Weiderpass E, Aglago EK, Ferrari P, Clarke R, Boutron MC, Severi G, MacDonald C, Providencia R, Masala G, Zamora-Ros R, Boer J, Verschuren WMM, Cawthon P, Schierbeck LL, Cooper C, Schulze MB, Bergmann MM, Hannemann A, Kiechl S, Brenner H, van Schoor NM, Albertorio JR, Sacerdote C, Linneberg A, Kårhus LL, Huerta JM, Imaz L, Joergensen C, Ben-Shlomo Y, Lundqvist A, Gallacher J, Sattar N, Wood AM, Wareham NJ, Nordestgaard BG, Di Angelantonio E, Danesh J, Butterworth AS, Burgess S. Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomisation analyses. Lancet Diabetes Endocrinol 2024; 12:e2-e11. [PMID: 38048800 PMCID: PMC7615586 DOI: 10.1016/s2213-8587(23)00287-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 09/05/2023] [Accepted: 09/27/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Randomised trials of vitamin D supplementation for cardiovascular disease and all-cause mortality have generally reported null findings. However, generalisability of results to individuals with low vitamin D status is unclear. We aimed to characterise dose-response relationships between 25-hydroxyvitamin D (25[OH]D) concentrations and risk of coronary heart disease, stroke, and all-cause mortality in observational and Mendelian randomisation frameworks. METHODS Observational analyses were undertaken using data from 33 prospective studies comprising 500 962 individuals with no known history of coronary heart disease or stroke at baseline. Mendelian randomisation analyses were performed in four population-based cohort studies (UK Biobank, EPIC-CVD, and two Copenhagen population-based studies) comprising 386 406 middle-aged individuals of European ancestries, including 33 546 people who developed coronary heart disease, 18 166 people who had a stroke, and 27 885 people who died. Primary outcomes were coronary heart disease, defined as fatal ischaemic heart disease (International Classification of Diseases 10th revision code I20-I25) or non-fatal myocardial infarction (I21-I23); stroke, defined as any cerebrovascular disease (I60-I69); and all-cause mortality. FINDINGS Observational analyses suggested inverse associations between incident coronary heart disease, stroke, and all-cause mortality outcomes with 25(OH)D concentration at low 25(OH)D concentrations. In population-wide genetic analyses, there were no associations of genetically predicted 25(OH)D with coronary heart disease (odds ratio [OR] per 10 nmol/L higher genetically-predicted 25(OH)D concentration 0·98, 95% CI 0·95-1·01), stroke (1·01, [0·97-1·05]), or all-cause mortality (0·99, 0·95-1·02). Null findings were also observed in genetic analyses for cause-specific mortality outcomes, and in stratified genetic analyses for all outcomes at all observed levels of 25(OH)D concentrations. INTERPRETATION Stratified Mendelian randomisation analyses suggest a lack of causal relationship for 25(OH)D concentrations with both cardiovascular and mortality outcomes for individuals at all levels of 25(OH)D. Our findings suggest that substantial reductions in mortality and cardiovascular morbidity due to long-term low-dose vitamin D supplementation are unlikely even if targeted at individuals with low vitamin D status. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health Research, Health Data Research UK, Cancer Research UK, and International Agency for Research on Cancer.
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Affiliation(s)
- Emerging Risk Factors Collaboration/EPIC-CVD/Vitamin D Studies Collaboration
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Vitas Ltd, Oslo, Norway
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
- Dipartimento Di Medicina Clinica E Chirurgia, Federico II University, Italy
- Department of Clinical Sciences Malmö, Lund University, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
- Department of Odontology, Umeå University, Sweden
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- EPIC Granada, Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health. University of Granada. Granada, Spain
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Aarhus University, Denmark
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
- Epidemiology, Prevention and Promotion Health Service, Public Health Institute of Navarra, Spain
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
- School of Medicine, University of Ioannina, Greece
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
- Department of Medicine, University of Washington, USA
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum Nordrhein-Westfalen, Bad Oeynhausen, Ruhr University Bochum, Germany
- Department of Medical Sciences, Uppsala University, Sweden
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- International Agency for Research on Cancer, France
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Oxford, UK
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
- Institute of Health Informatics Research, University College London, London, UK
- Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Italy
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
- Research Institute, California Pacific Medical Center, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
- Cardiology Department, Nordsjælland University Hospital, Hillerød, Denmark
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine Greifswald, Germany
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Netherlands
- Coalition to End Loneliness, USA
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain
- Public Health Division of Bizkaia, Ministry of Health of the Basque Government, Spain
- Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
- Steno Diabetes Center, Copenhagen, Denmark
- Population Health Sciences, University of Bristol, UK
- Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Oxford, Oxford, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- The Alan Turing Institute, UK
- The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, UK
| | - Eleni Sofianopoulou
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Stephen K Kaptoge
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Shoaib Afzal
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
| | - Tao Jiang
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - Thomas R Bolton
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
| | - Elias Allara
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
| | - Matthew G Arnold
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Amy M Mason
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Ryan Chung
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
| | - Lisa AM Pennells
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Fanchao Shi
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Luanluan Sun
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Peter Willeit
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge, UK
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica E Chirurgia, Federico II University, Italy
| | - Gunnar Engström
- Department of Clinical Sciences Malmö, Lund University, Sweden
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Sweden
- Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Tammy YN Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Margareta Norberg
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | | | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bernard Srour
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - María José Sánchez
- EPIC Granada, Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health. University of Granada. Granada, Spain
| | - Daniel Redondo-Sánchez
- EPIC Granada, Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, Aarhus University, Denmark
| | | | - Kim Overvad
- Department of Public Health, Aarhus University, Denmark
| | - Magritt Brustad
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Norway
| | - Conchi Moreno-Iribas
- The Public Dental Health Service Competence Centre of Northern Norway (TkNN), Tromsø, Norway
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
- School of Medicine, University of Ioannina, Greece
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Italy
| | - Ian H de Boer
- Department of Medicine, University of Washington, USA
| | - Camilla Jannie Kobylecki
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
| | - Yunus Çolak
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
| | - Armin Zittermann
- Clinic for Thoracic and Cardiovascular Surgery, Herz- und Diabeteszentrum Nordrhein-Westfalen, Bad Oeynhausen, Ruhr University Bochum, Germany
| | | | - Paul Welsh
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | | | | | | | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Oxford, UK
| | - Marie-Christine Boutron
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
| | - Conor MacDonald
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm U1018, Équipe "Exposome et Hérédité", CESP, Gustave Roussy, France
| | - Rui Providencia
- Institute of Health Informatics Research, University College London, London, UK
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Italy
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Jolanda Boer
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
| | - WM Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Netherlands
- Centre for Nutrition and Health, National Institute for Public Health and the Environment (RIVM)
| | - Peggy Cawthon
- Research Institute, California Pacific Medical Center, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | | | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Matthias B Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Germany
| | - Manuela M Bergmann
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Anke Hannemann
- Institute of Clinical Chemistry and Laboratory Medicine, DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine Greifswald, Germany
| | - Stefan Kiechl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Netherlands
| | | | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
| | - Line L Kårhus
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Denmark
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain
| | - Liher Imaz
- Public Health Division of Bizkaia, Ministry of Health of the Basque Government, Spain
- Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | | | | | | | - John Gallacher
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Angela M Wood
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- The Alan Turing Institute, UK
| | | | - Børge G Nordestgaard
- Copenhagen General Population Study, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Denmark
- The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital
| | - Emanuele Di Angelantonio
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Adam S Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK
| | - Stephen Burgess
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, UK
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8
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Ahmadi A, Gamboa J, Norman JE, Enkhmaa B, Tucker M, Bennett BJ, Zelnick LR, Fan S, Berglund LF, Ikizler TA, de Boer IH, Cummings BP, Roshanravan B. Impaired incretin homeostasis in non-diabetic moderate-severe CKD. medRxiv 2023:2023.12.15.23300050. [PMID: 38196612 PMCID: PMC10775324 DOI: 10.1101/2023.12.15.23300050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Background Incretins are regulators of insulin secretion and glucose homeostasis that are metabolized by dipeptidyl peptidase-4 (DPP-4). Moderate-severe CKD may modify incretin release, metabolism, or response. Methods We performed 2-hour oral glucose tolerance testing (OGTT) in 59 people with non-diabetic CKD (eGFR<60 ml/min per 1.73 m2) and 39 matched controls. We measured total (tAUC) and incremental (iAUC) area under the curve of plasma total glucagon-like peptide-1 (GLP-1) and total glucose-dependent insulinotropic polypeptide (GIP). Fasting DPP-4 levels and activity were measured. Linear regression was used to adjust for demographic, body composition, and lifestyle factors. Results Mean eGFR was 38 ±13 and 89 ±17ml/min per 1.73 m2 in CKD and controls. GLP-1 iAUC and GIP iAUC were higher in CKD than controls with a mean of 1531 ±1452 versus 1364 ±1484 pMxmin, and 62370 ±33453 versus 42365 ±25061 pgxmin/ml, respectively. After adjustment, CKD was associated with 15271 pMxmin/ml greater GIP iAUC (95% CI 387, 30154) compared to controls. Adjustment for covariates attenuated associations of CKD with higher GLP-1 iAUC (adjusted difference, 122, 95% CI -619, 864). Plasma glucagon levels were higher at 30 minutes (mean difference, 1.6, 95% CI 0.3, 2.8 mg/dl) and 120 minutes (mean difference, 0.84, 95% CI 0.2, 1.5 mg/dl) in CKD compared to controls. There were no differences in insulin levels or plasma DPP-4 activity or levels between groups. Conclusion Incretin response to oral glucose is preserved or augmented in moderate-severe CKD, without apparent differences in circulating DPP-4 concentration or activity. However, neither insulin secretion nor glucagon suppression are enhanced.
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Affiliation(s)
- Armin Ahmadi
- Department of Internal Medicine, Division of Nephrology, University of California Davis, Davis, California, USA
| | - Jorge Gamboa
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jennifer E Norman
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of California, Davis, Davis, California, USA
| | - Byambaa Enkhmaa
- Department of Internal Medicine, Division of Endocrinology, University of California Davis, Davis, California, USA
| | - Madelynn Tucker
- School of Medicine, Department of Surgery, Center for Alimentary and Metabolic Sciences, University of California, Davis, Sacramento, CA, United States
| | - Brian J Bennett
- Obesity and Metabolism Research Unit, Western Human Nutrition Research Center, USDA, ARS, Davis, California, USA
| | - Leila R Zelnick
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Sili Fan
- Department of Public Health Sciences, Division of Biostatistics, University of California, Davis, CA, USA
| | - Lars F Berglund
- Department of Internal Medicine, University of California, Davis, CA, USA
| | - Talat Alp Ikizler
- Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ian H de Boer
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Bethany P Cummings
- School of Medicine, Department of Surgery, Center for Alimentary and Metabolic Sciences, University of California, Davis, Sacramento, CA, United States
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, USA
| | - Baback Roshanravan
- Department of Internal Medicine, Division of Nephrology, University of California Davis, Davis, California, USA
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9
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Sinha Gregory N, Burghardt AJ, Backlund JYC, Rubin MR, Bebu I, Braffett BH, Kenny DJ, Link TM, Kazakia GJ, Barnie A, Lachin JM, Gubitosi-Klug R, de Boer IH, Schwartz AV. Diabetes Risk Factors and Bone Microarchitecture as Assessed by High-Resolution Peripheral Quantitative Computed Tomography in Adults With Long-Standing Type 1 Diabetes. Diabetes Care 2023:dc230839. [PMID: 38029518 DOI: 10.2337/dc23-0839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 08/21/2023] [Indexed: 12/01/2023]
Abstract
OBJECTIVE To determine whether type 1 diabetes and its complications are associated with bone geometry and microarchitecture. RESEARCH DESIGN AND METHODS This cross-sectional study was embedded in a long-term observational study. High-resolution peripheral quantitative computed tomography (HR-pQCT) scans of the distal radius and distal and diaphyseal tibia were performed in a subset of 183 participants with type 1 diabetes from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study and 94 control participants without diabetes. HbA1c, skin advanced glycation end products (AGEs), and diabetes-related complications were assessed in EDIC participants with >30 years of follow-up. RESULTS Compared with control participants (aged 60 ± 8 years, 65% female), EDIC participants (aged 60 ± 7 years, diabetes duration 38 ± 5 years, 51% female) had lower total bone mineral density (BMD) at the distal radius (-7.9% [95% CI -15.2%, -0.6%]; P = 0.030) and distal tibia (-11.3% [95% CI -18.5%, -4.2%]; P = 0.001); larger total area at all sites (distal radius 4.7% [95% CI 0.5%, 8.8%; P = 0.030]; distal tibia 5.9% [95% CI 2.1%, 9.8%; P = 0.003]; diaphyseal tibia 3.4% [95% CI 0.8%, 6.1%; P = 0.011]); and poorer radius trabecular and cortical microarchitecture. Estimated failure load was similar between the two groups. Among EDIC participants, higher HbA1c, AGE levels, and macroalbuminuria were associated with lower total BMD. Macroalbuminuria was associated with larger total area and lower cortical thickness at the distal radius. Higher HbA1c and AGE levels and lower glomerular filtration rate, peripheral neuropathy, and retinopathy were associated with deficits in trabecular microarchitecture. CONCLUSIONS Type 1 diabetes is associated with lower BMD, larger bone area, and poorer trabecular microarchitecture. Among participants with type 1 diabetes, suboptimal glycemic control, AGE accumulation, and microvascular complications are associated with deficits in bone microarchitecture and lower BMD.
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Affiliation(s)
| | - Andrew J Burghardt
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Jye-Yu C Backlund
- The Biostatistics Center, The George Washington University, Rockville, MD
| | | | - Ionut Bebu
- The Biostatistics Center, The George Washington University, Rockville, MD
| | - Barbara H Braffett
- The Biostatistics Center, The George Washington University, Rockville, MD
| | - David J Kenny
- The Biostatistics Center, The George Washington University, Rockville, MD
| | - Thomas M Link
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Galateia J Kazakia
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Annette Barnie
- Mount Sinai Hospital, University of Toronto, Ontario, Canada
| | - John M Lachin
- The Biostatistics Center, The George Washington University, Rockville, MD
| | - Rose Gubitosi-Klug
- Department of Pediatrics, Case Western Reserve University/Rainbow Babies and Children's Hospital, Cleveland, OH
| | - Ian H de Boer
- Department of Medicine, University of Washington, Seattle, WA
| | - Ann V Schwartz
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
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10
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Hsu S, Vervloet MG, de Boer IH. Vitamin D in CKD: An Unfinished Story. Am J Kidney Dis 2023; 82:512-514. [PMID: 37715768 DOI: 10.1053/j.ajkd.2023.07.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 07/06/2023] [Accepted: 07/10/2023] [Indexed: 09/18/2023]
Affiliation(s)
- Simon Hsu
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, Washington
| | - Marc G Vervloet
- Nephrology, Amsterdam University Medical Center, Amsterdam, The Netherlands; Amsterdam Cardiovascular Sciences, Diabetes & Metabolism, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ian H de Boer
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, Washington.
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11
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Victoria-Castro AM, Corona-Villalobos CP, Xu AY, Onul I, Huynh C, Chen SW, Ugwuowo U, Sarkisova N, Dighe AL, Blank KN, Blanc VM, Rose MP, Himmelfarb J, de Boer IH, Tuttle KR, Roberts GV. Participant Experience with Protocol Research Kidney Biopsies in the Kidney Precision Medicine Project. Clin J Am Soc Nephrol 2023; 19:01277230-990000000-00271. [PMID: 37871973 PMCID: PMC10861112 DOI: 10.2215/cjn.0000000000000334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 10/16/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Kidney biopsies are procedures commonly performed in clinical nephrology and are increasingly used in research. In this study we aimed to evaluate the experiences of participants who underwent research kidney biopsies in the Kidney Precision Medicine Project (KPMP). METHODS KPMP research participants with acute kidney injury (AKI) or chronic kidney disease (CKD) were enrolled at nine recruitment sites in the United States between September 2019 to January 2023. At 28 days post-biopsy, participants were invited to complete a survey to share their experiences, including: motivation to participate in research; comprehension of informed consent; pain and anxiety during and after the biopsy procedure; overall satisfaction with KPMP participation; and impact of the study on their lives. The survey was developed in collaboration with the KPMP Community Engagement Committee and the Institute of Translational Health Sciences at the University of Washington. RESULTS 111 participants completed the survey, 23 enrolled for AKI and 88 for CKD. Median age was 61 (IQR 48-67) years, 43% were women, 28% were Black, and 18% were of Hispanic ethnicity. Survey respondents most commonly joined KPMP to help future patients (59%). The consent form was understood by 99% and 97% recognized their important role in the study. Pain during the biopsy was reported by 50%, at a median level of 1 (IQR 0-3) on a 0-10 scale. Anxiety during the biopsy was described by 64% at a median level of 3 (IQR 1-5) on a 0-10 scale. More than half conveyed that KPMP participation impacted their diet, physical activity, and how they think about kidney disease. CONCLUSIONS KPMP survey respondents were most commonly motivated to participate in research protocol kidney biopsies by altruism, with excellent understanding of the informed consent process.
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Grants
- R01 DK121019 NIDDK NIH HHS
- U01 DK114866 NIDDK NIH HHS
- U01 DK133090 NIDDK NIH HHS
- U01 DK114933 NIDDK NIH HHS
- U01 DK114908 NIDDK NIH HHS
- U01 DK133095 NIDDK NIH HHS
- U01 DK133081 NIDDK NIH HHS
- U01 DK114907 NIDDK NIH HHS
- U01 DK114920 NIDDK NIH HHS
- U24 DK114886 NIDDK NIH HHS
- U01 DK133766 NIDDK NIH HHS
- U01 DK114923 NIDDK NIH HHS
- U01 DK133113 NIDDK NIH HHS
- U01 DK133097 NIDDK NIH HHS
- U01DK133081, U01DK133091, U01DK133092, U01DK133093, U01DK133095, U01DK133097, U01DK114866, U01DK114908, U01DK133090, U01DK133113, U01DK133766, U01DK133768, U01DK114907, U01DK114920, U01DK114923, U01DK114933, U24DK114886. NIDDK NIH HHS
- U01 DK133768 NIDDK NIH HHS
- U01 DK133092 NIDDK NIH HHS
- U01 DK133091 NIDDK NIH HHS
- U01 DK133093 NIDDK NIH HHS
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Affiliation(s)
| | | | - Alan Y. Xu
- Division of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Ingrid Onul
- Boston Medical Center, Boston, Massachusetts
| | | | - Sarah W. Chen
- Kidney and Hypertension Unit, Joslin Diabetes Center, Boston, Massachusetts
| | - Ugochukwu Ugwuowo
- Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut
| | - Natalya Sarkisova
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Ashveena L. Dighe
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Kristina N. Blank
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Victoria M. Blanc
- Office of Research, University of Michigan Medical School, Ann Arbor, Michigan
| | - Michael P. Rose
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Jonathan Himmelfarb
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Ian H. de Boer
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Katherine R. Tuttle
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Glenda V. Roberts
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
- Kidney Precision Medicine Project Patient Partner, Seattle, Washington
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12
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Limonte CP, Prince DK, Hoofnagle AN, Galecki A, Hirsch IB, Tian F, Waikar SS, Looker HC, Nelson RG, Doria A, Mauer M, Kestenbaum BR, de Boer IH. Associations of Biomarkers of Tubular Injury and Inflammation with Biopsy Features in Type 1 Diabetes. Clin J Am Soc Nephrol 2023; 19:01277230-990000000-00270. [PMID: 37871959 PMCID: PMC10843226 DOI: 10.2215/cjn.0000000000000333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 10/17/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Whether biomarkers of tubular injury and inflammation indicate subclinical structural kidney pathology early in type 1 diabetes remains unknown. METHODS We investigated associations of biomarkers of tubular injury and inflammation with kidney structural features in 244 adults with type 1 diabetes from the Renin-Angiotensin System Study, a randomized, placebo-controlled trial testing effects of enalapril or losartan on changes in glomerular, tubulointerstitial, and vascular parameters from baseline to 5-year kidney biopsies. Biosamples at biopsy were assessed for kidney injury molecule 1 (KIM-1), soluble TNF receptor 1 (sTNFR1), arginine-to-citrulline ratio in plasma, and uromodulin and epidermal growth factor (EGF) in urine. We examined cross-sectional correlations between biomarkers and biopsy features and baseline biomarker associations with 5-year changes in biopsy features. RESULTS Participants' mean age was 30 years (SD 10) and diabetes duration 11 years (SD 5); 53% were women. The mean GFR measured by iohexol disappearance was 128 ml/min per 1.73 m 2 (SD 19) and median urinary albumin excretion was 5 μ g/min (interquartile range, 3-8). KIM-1 was associated with most biopsy features: higher mesangial fractional volume (0.5% [95% confidence interval (CI), 0.1 to 0.9] greater per SD KIM-1), glomerular basement membrane (GBM) width (14.2 nm [95% CI, 6.5 to 22.0] thicker), cortical interstitial fractional volume (1.1% [95% CI, 0.6 to 1.6] greater), fractional volume of cortical atrophic tubules (0.6% [95% CI, 0.2 to 0.9] greater), and arteriolar hyalinosis index (0.03 [95% CI, 0.1 to 0.05] higher). sTNFR1 was associated with higher mesangial fractional volume (0.9% [95% CI, 0.5 to 1.3] greater) and GBM width (12.5 nm [95% CI, 4.5 to 20.5] thicker) and lower GBM surface density (0.003 μ m 2 / μ m 3 [95% CI, 0.005 to 0.001] lesser). EGF and arginine-to-citrulline ratio correlated with severity of glomerular and tubulointerstitial features. Baseline sTNFR1, uromodulin, and EGF concentrations were associated with 5-year glomerular and tubulointerstitial feature progression. CONCLUSIONS Biomarkers of tubular injury and inflammation were associated with kidney structural parameters in early type 1 diabetes and may be indicators of kidney disease risk. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER Renin Angiotensin System Study (RASS/B-RASS), NCT00143949.
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Affiliation(s)
- Christine P. Limonte
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
| | - David K. Prince
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
| | - Andrew N. Hoofnagle
- Kidney Research Institute, University of Washington, Seattle, Washington
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington
| | - Andrzej Galecki
- Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Department of Biostatistics, University of Michigan Medical School, Ann Arbor, Michigan
| | - Irl B. Hirsch
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, Washington
| | - Frances Tian
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
| | - Sushrut S. Waikar
- Section of Nephrology, Department of Medicine, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Helen C. Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Robert G. Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Alessandro Doria
- Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Michael Mauer
- Department of Pediatrics and Medicine, University of Minnesota, Minneapolis, Massachusetts
| | - Bryan R. Kestenbaum
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
| | - Ian H. de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
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Sharma K, Zhang G, Hansen J, Bjornstad P, Lee HJ, Menon R, Hejazi L, Liu JJ, Franzone A, Looker HC, Choi BY, Fernandez R, Venkatachalam MA, Kugathasan L, Sridhar VS, Natarajan L, Zhang J, Sharma VS, Kwan B, Waikar SS, Himmelfarb J, Tuttle KR, Kestenbaum B, Fuhrer T, Feldman HI, de Boer IH, Tucci FC, Sedor J, Heerspink HL, Schaub J, Otto EA, Hodgin JB, Kretzler M, Anderton CR, Alexandrov T, Cherney D, Lim SC, Nelson RG, Gelfond J, Iyengar R. Endogenous adenine mediates kidney injury in diabetic models and predicts diabetic kidney disease in patients. J Clin Invest 2023; 133:e170341. [PMID: 37616058 PMCID: PMC10575723 DOI: 10.1172/jci170341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 08/10/2023] [Indexed: 08/25/2023] Open
Abstract
Diabetic kidney disease (DKD) can lead to end-stage kidney disease (ESKD) and mortality; however, few mechanistic biomarkers are available for high-risk patients, especially those without macroalbuminuria. Urine from participants with diabetes from the Chronic Renal Insufficiency Cohort (CRIC) study, the Singapore Study of Macro-angiopathy and Micro-vascular Reactivity in Type 2 Diabetes (SMART2D), and the American Indian Study determined whether urine adenine/creatinine ratio (UAdCR) could be a mechanistic biomarker for ESKD. ESKD and mortality were associated with the highest UAdCR tertile in the CRIC study and SMART2D. ESKD was associated with the highest UAdCR tertile in patients without macroalbuminuria in the CRIC study, SMART2D, and the American Indian study. Empagliflozin lowered UAdCR in nonmacroalbuminuric participants. Spatial metabolomics localized adenine to kidney pathology, and single-cell transcriptomics identified ribonucleoprotein biogenesis as a top pathway in proximal tubules of patients without macroalbuminuria, implicating mTOR. Adenine stimulated matrix in tubular cells via mTOR and stimulated mTOR in mouse kidneys. A specific inhibitor of adenine production was found to reduce kidney hypertrophy and kidney injury in diabetic mice. We propose that endogenous adenine may be a causative factor in DKD.
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Affiliation(s)
- Kumar Sharma
- Center for Precision Medicine and
- Division of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio, Texas, USA
| | - Guanshi Zhang
- Center for Precision Medicine and
- Division of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio, Texas, USA
| | - Jens Hansen
- Department of Pharmacological Sciences and Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Petter Bjornstad
- Division of Nephrology, Department of Medicine and Section of Endocrinology, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Hak Joo Lee
- Center for Precision Medicine and
- Division of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio, Texas, USA
| | - Rajasree Menon
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Leila Hejazi
- Center for Precision Medicine and
- SygnaMap Inc., San Antonio, Texas, USA
| | - Jian-Jun Liu
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore
| | | | - Helen C. Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA
| | - Byeong Yeob Choi
- Center for Precision Medicine and
- Department of Population Health Sciences and
| | | | - Manjeri A. Venkatachalam
- Center for Precision Medicine and
- Department of Pathology, University of Texas Health Science Center at San Antonio, Texas, USA
| | - Luxcia Kugathasan
- Department of Medicine, Division of Nephrology, University Health Network, Toronto, Ontario, Canada. Department of Physiology and Cardiovascular Sciences Collaborative Specialization, University of Toronto, Toronto, Canada
| | - Vikas S. Sridhar
- Department of Medicine, Division of Nephrology, University Health Network, Toronto, Ontario, Canada. Department of Physiology and Cardiovascular Sciences Collaborative Specialization, University of Toronto, Toronto, Canada
| | - Loki Natarajan
- Herbert Wertheim School of Public Health and
- Moores Cancer Center, University of California, San Diego, La Jolla, California, USA
| | - Jing Zhang
- Moores Cancer Center, University of California, San Diego, La Jolla, California, USA
| | - Varun S. Sharma
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Brian Kwan
- Department of Health Science, California State University, Long Beach, Long Beach, California, USA
| | - Sushrut S. Waikar
- Section of Nephrology, Department of Medicine, Boston Medical Center and Boston University, Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Jonathan Himmelfarb
- Department of Medicine, Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Katherine R. Tuttle
- Department of Medicine, Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Bryan Kestenbaum
- Department of Medicine, Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Tobias Fuhrer
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Harold I. Feldman
- Center for Clinical Epidemiology and Biostatistics and Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
- Patient-Centered Outcomes Research Institute, Washington, DC, USA
| | - Ian H. de Boer
- Department of Medicine, Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | | | | | - Hiddo Lambers Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, Netherlands
- The George Institute for Global Health, Sydney, Australia
| | - Jennifer Schaub
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Edgar A. Otto
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Jeffrey B. Hodgin
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Matthias Kretzler
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Christopher R. Anderton
- Center for Precision Medicine and
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Theodore Alexandrov
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - David Cherney
- Department of Medicine, Division of Nephrology, University Health Network, Toronto, Ontario, Canada. Department of Physiology and Cardiovascular Sciences Collaborative Specialization, University of Toronto, Toronto, Canada
| | - Su Chi Lim
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore
- Diabetes Center, Admiralty Medical Center, Khoo Teck Puat Hospital, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Robert G. Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA
| | - Jonathan Gelfond
- Center for Precision Medicine and
- Department of Population Health Sciences and
| | - Ravi Iyengar
- Department of Pharmacological Sciences and Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Lidgard B, Hoofnagle AN, Zelnick LR, de Boer IH, Fretts AM, Kestenbaum BR, Lemaitre RN, Robinson-Cohen C, Bansal N. High-Density Lipoprotein Lipidomics and Mortality in CKD. Kidney Med 2023; 5:100708. [PMID: 37731962 PMCID: PMC10507644 DOI: 10.1016/j.xkme.2023.100708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2023] Open
Abstract
Rationale & Objective Patients with chronic kidney disease (CKD) have dysfunctional high-density lipoprotein (HDL) particles that lack cardioprotective properties; altered lipid composition may be associated with these changes. To investigate HDL lipids as potential cardiovascular risk factors in CKD, we tested the associations of HDL ceramides, sphingomyelins, and phosphatidylcholines with mortality. Study Design We leveraged data from a longitudinal prospective cohort of participants with CKD. Setting & Participants We included participants aged greater than 21 years with CKD, excluding those on maintenance dialysis or with prior kidney transplant. Exposure HDL particles were isolated using density gradient ultracentrifugation. We quantified the relative abundance of HDL ceramides, sphingomyelins, and phosphatidylcholines via liquid chromatography tandem mass spectrometry (LC-MS/MS). Outcomes Our primary outcome was all-cause mortality. Analytical Approach We tested associations using Cox regressions adjusted for demographics, comorbid conditions, laboratory values, medication use, and highly correlated lipids with opposed effects, controlling for multiple comparisons with false discovery rates (FDR). Results There were 168 deaths over a median follow-up of 6.12 years (interquartile range, 3.71-9.32). After adjustment, relative abundance of HDL ceramides (HR, 1.22 per standard deviation; 95% CI, 1.06-1.39), sphingomyelins with long fatty acids (HR, 1.44; 95% CI, 1.05-1.98), and saturated and monounsaturated phosphatidylcholines (HR, 1.22; 95% CI, 1.06-1.41) were significantly associated with increased risk of all-cause mortality (FDR < 5%). Limitations We were unable to test associations with cardiovascular disease given limited power. HDL lipidomics may not reflect plasma lipidomics. LC-MS/MS is unable to differentiate between glucosylceramides and galactosylceramides. The cohort was comprised of research volunteers in the Seattle area with CKD. Conclusions Greater relative HDL abundance of 3 classes of lipids was associated with higher risk of all-cause mortality in CKD; sphingomyelins with very long fatty acids were associated with a lower risk. Altered lipid composition of HDL particles may be a novel cardiovascular risk factor in CKD. Plain-Language Summary Patients with chronic kidney disease have abnormal high-density lipoprotein (HDL) particles that lack the beneficial properties associated with these particles in patients with normal kidney function. To investigate if small lipid molecules found on the surface of HDL might be associated with these changes, we tested the associations of lipid molecules found on HDL with death among patients with chronic kidney disease. We found that several lipid molecules found on the surface of HDL were associated with increased risk of death among these patients. These findings suggest that lipid molecules may be risk factors for death among patients with chronic kidney disease.
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15
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Vervloet MG, Hsu S, de Boer IH. Vitamin D supplementation in people with chronic kidney disease. Kidney Int 2023; 104:698-706. [PMID: 37541585 DOI: 10.1016/j.kint.2023.07.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 07/08/2023] [Accepted: 07/13/2023] [Indexed: 08/06/2023]
Abstract
Vitamin D supplements have long been advocated for people with chronic kidney disease based on data from observational studies among the general population and people with chronic kidney disease. These data consistently suggested that higher circulating concentrations of 25-hydroxyvitamin D are associated with improved fracture, cardiovascular, cancer, and mortality outcomes. In the past few years, large clinical trials have been conducted to assess the effects of vitamin D supplements on a range of clinically relevant outcomes. Most of these studies were performed in the general population, but they also enrolled people with chronic kidney disease. Virtually all of these trials were negative and contradicted the observational data. In this review, the key observational data and clinical trials are summarized, and potential explanations for the discrepancies between these studies are discussed.
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Affiliation(s)
- Marc G Vervloet
- Department of Nephrology, Amsterdam University Medical Center, Amsterdam, the Netherlands; Division of Diabetes and Metabolism, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center (UMC), Amsterdam, the Netherlands.
| | - Simon Hsu
- Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, Washington, USA
| | - Ian H de Boer
- Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, Washington, USA
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16
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Bergagnini-Kolev MC, Hsu S, Aitken ML, Goss CH, Hoofnagle AN, Zelnick LR, Lum D, Best CM, Thummel KE, Kestenbaum BR, de Boer IH, Lin YS. Metabolism and pharmacokinetics of vitamin D in patients with cystic fibrosis. J Steroid Biochem Mol Biol 2023; 232:106332. [PMID: 37217104 PMCID: PMC10524963 DOI: 10.1016/j.jsbmb.2023.106332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 05/15/2023] [Accepted: 05/19/2023] [Indexed: 05/24/2023]
Abstract
Patients with cystic fibrosis (CF) commonly have lower circulating concentrations of 25-hydroxyvitamin D (25(OH)D) than healthy populations. We comprehensively compared measures of vitamin D metabolism among individuals with CF and healthy control subjects. In a cross-sectional study, serum from participants with CF (N = 83) and frequency-matched healthy control subjects by age and race (N = 82) were analyzed for: 25(OH)D2 and 25(OH)D3, 1α,25-dihydroxyvitamins D2 and D3 (1α,25(OH)2D2 and 1α,25(OH)2D3), 24,25-dihydroxyvitamin D3 (24,25(OH)2D3), 4β,25-dihydroxyvitamin D3 (4β,25(OH)2D3), 25-hydroxyvitamin D3-3-sulfate (25(OH)D3-S), and 25-hydroxyvitamin D3-3-glucuronide (25(OH)D3-G). In a 56-day prospective pharmacokinetic study, ∼25 μg deuterium-labeled 25(OH)D3 (d6-25(OH)D3) was administered intravenously to participants (N = 5 with CF, N = 5 control subjects). Serum was analyzed for d6-25(OH)D3 and d6-24,25(OH)2D3, and pharmacokinetic parameters were estimated. In the cross-sectional study, participants with CF had similar mean (SD) total 25(OH)D concentrations as control subjects (26.7 [12.3] vs. 27.7 [9.9] ng/mL) and had higher vitamin D supplement use (53% vs. 22%). However, participants with CF had lower total 1α,25(OH)2D (43.6 [12.7] vs. 50.7 [13.0] pg/mL), 4β,25(OH)2D3 (52.1 [38.9] vs. 79.9 [60.2] pg/mL), and 25(OH)D3-S (17.7 [11.6] vs. 30.1 [12.3] ng/mL) (p < 0.001 for all). The pharmacokinetics of d6-25(OH)D3 and d6-24,25(OH)D3 did not differ between groups. In summary, although 25(OH)D concentrations were comparable, participants with CF had lower 1α,25(OH)2D, 4β,25(OH)2D3, and 25(OH)D3-S concentrations than healthy controls. Neither 25(OH)D3 clearance, nor formation of 24,25(OH)2D3, appears to account for these differences and alternative mechanisms for low 25(OH)D in CF (i.e., decreased formation, altered enterohepatic recirculation) should be explored.
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Affiliation(s)
| | - Simon Hsu
- Kidney Research Institute, University of Washington, Seattle, WA 98104, USA; Division of Nephrology, Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA.
| | - Moira L Aitken
- Division of Pulmonary, Critical Care and Sleep Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Christopher H Goss
- Department of Pediatrics, School of Medicine, University of Washington, Seattle, WA 98195, USA; Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Andrew N Hoofnagle
- Kidney Research Institute, University of Washington, Seattle, WA 98104, USA; Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Leila R Zelnick
- Kidney Research Institute, University of Washington, Seattle, WA 98104, USA; Division of Nephrology, Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Dawn Lum
- Kidney Research Institute, University of Washington, Seattle, WA 98104, USA; Division of Nephrology, Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Cora M Best
- Kidney Research Institute, University of Washington, Seattle, WA 98104, USA; Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Kenneth E Thummel
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA 98195, USA
| | - Bryan R Kestenbaum
- Kidney Research Institute, University of Washington, Seattle, WA 98104, USA; Division of Nephrology, Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Ian H de Boer
- Kidney Research Institute, University of Washington, Seattle, WA 98104, USA; Division of Nephrology, Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Yvonne S Lin
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, WA 98195, USA
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Khatri M, Ryan CM, Gao X, de Boer IH, Braffett BH, Molitch M, Karger AB, Lorenzi GM, Lee P, Trapani VR, Lachin JM, Jacobson AM. CKD Associates with Cognitive Decline in Middle-Aged and Older Adults with Long-Standing Type 1 Diabetes. Kidney360 2023; 4:1058-1071. [PMID: 37291722 PMCID: PMC10476689 DOI: 10.34067/kid.0000000000000178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/27/2023] [Indexed: 06/10/2023]
Abstract
Key Points We found that development of both albuminuria and reduced eGFR was associated with clinically significant cognitive decline, particularly in the psychomotor and mental efficiency domain. There was also a significant interaction between worsened albuminuria and eGFR, the combination of which augmented cognitive deficits. A more comprehensive longitudinal phenotype of albuminuria showed that regressed albuminuria did not associate with worsened cognitive decline, as opposed to persistent albuminuria. Background Individuals with CKD or type 1 diabetes (T1D) are at risk for cognitive decline, but it is unclear whether these associations are with albuminuria, eGFR, or both. Methods We examined the longitudinal relationships between CKD and change in cognition in 1051 participants with T1D in the Diabetes Control and Complications Trial and its follow-up, the Epidemiology of Diabetes Interventions and Complications study. Albumin excretion rate and eGFR were measured every 1–2 years. Three cognitive domains were assessed repeatedly over a 32-year period: immediate memory, delayed memory, and psychomotor and mental efficiency. Associations between cognitive function and CKD were assessed: (1 ) longitudinally and (2 ) in models using eGFR and albuminuria measurements over the first 15–20 years with subsequent change in cognitive function over the ensuing 14 years (when decline in cognition was greatest). Results In fully adjusted longitudinal analyses, the magnitude of decline in the psychomotor and mental efficiency domain score was associated with eGFR <60 ml/min per 1.73 m2 (β −0.449; 95% confidence interval [CI], −0.640 to −0.259) and sustained albumin excretion rate 30 to <300 mg/24 hours (β −0.148; 95% CI, −0.270 to −0.026). This was equivalent to a decrease associated with approximately 11 and 4 years of aging, respectively. In analyses focused on changes in cognition between study years 18 and 32, eGFR <60 ml/min per 1.73 m2 was associated with reduced psychomotor and mental efficiency (β −0.915; 95% CI, −1.613 to −0.217). Conclusions In T1D, development of CKD was associated with a subsequent reduction on cognitive tasks requiring psychomotor and mental efficiency. These data highlight the need for increased recognition of risk factors for neurologic sequelae in patients with T1D, as well as preventive and treatment strategies to ameliorate cognitive decline.
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Affiliation(s)
- Minesh Khatri
- NYU Long Island School of Medicine, Mineola, New York
| | | | - Xiaoyu Gao
- Biostatistics Center, The George Washington University, Rockville, Maryland
| | - Ian H. de Boer
- Division of Nephrology, University of Washington, Seattle, Washington
| | | | - Mark Molitch
- Division of Endocrinology, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Amy B. Karger
- University of Minnesota Twin Cities, Twin Cities, Minnesota
| | | | - Pearl Lee
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | | | - John M. Lachin
- Biostatistics Center, The George Washington University, Rockville, Maryland
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Hsu S, Zelnick LR, Bansal N, Brown J, Denburg M, Feldman HI, Ginsberg C, Hoofnagle AN, Isakova T, Leonard MB, Lidgard B, Robinson‐Cohen C, Wolf M, Xie D, Kestenbaum BR, de Boer IH. Vitamin D Metabolites and Risk of Cardiovascular Disease in Chronic Kidney Disease: The CRIC Study. J Am Heart Assoc 2023; 12:e028561. [PMID: 37421259 PMCID: PMC10382125 DOI: 10.1161/jaha.122.028561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 04/18/2023] [Indexed: 07/10/2023]
Abstract
Background The ratio of 24,25-dihydroxyvitamin D3/25-hydroxyvitamin D3 (vitamin D metabolite ratio [VDMR]) may reflect functional vitamin D activity. We examined associations of the VDMR, 25-hydroxyvitamin D (25[OH]D), and 1,25-dihydroxyvitamin D (1,25[OH]2D) with cardiovascular disease (CVD) in patients with chronic kidney disease. Methods and Results This study included longitudinal and cross-sectional analyses of 1786 participants from the CRIC (Chronic Renal Insufficiency Cohort) Study. Serum 24,25-dihydroxyvitamin D3, 25(OH)D, and 1,25(OH)2D were measured by liquid chromatography-tandem mass spectrometry 1 year after enrollment. The primary outcome was composite CVD (heart failure, myocardial infarction, stroke, and peripheral arterial disease). We used Cox regression with regression-calibrated weights to test associations of the VDMR, 25(OH)D, and 1,25(OH)2D with incident CVD. We examined cross-sectional associations of these metabolites with left ventricular mass index using linear regression. Analytic models adjusted for demographics, comorbidity, medications, estimated glomerular filtration rate, and proteinuria. The cohort was 42% non-Hispanic White race and ethnicity, 42% non-Hispanic Black race and ethnicity, and 12% Hispanic ethnicity. Mean age was 59 years, and 43% were women. Among 1066 participants without prevalent CVD, there were 298 composite first CVD events over a mean follow-up of 8.6 years. Lower VDMR and 1,25(OH)2D were associated with incident CVD before, but not after, adjustment for estimated glomerular filtration rate and proteinuria (hazard ratio, 1.11 per 1 SD lower VDMR [95% CI, 0.95-1.31]). Only 25(OH)D was associated with left ventricular mass index after full covariate adjustment (0.6 g/m2.7 per 10 ng/mL lower [95% CI, 0.0-1.3]). Conclusions Despite modest associations of 25(OH)D with left ventricular mass index, 25(OH)D, the VDMR, and 1,25(OH)2D were not associated with incident CVD in chronic kidney disease.
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Affiliation(s)
- Simon Hsu
- Division of Nephrology and Kidney Research Institute, Department of MedicineUniversity of WashingtonSeattleWA
| | - Leila R. Zelnick
- Division of Nephrology and Kidney Research Institute, Department of MedicineUniversity of WashingtonSeattleWA
| | - Nisha Bansal
- Division of Nephrology and Kidney Research Institute, Department of MedicineUniversity of WashingtonSeattleWA
| | - Julia Brown
- Division of Nephrology and Hypertension, Department of MedicineLoyola University of ChicagoMaywoodIL
| | - Michelle Denburg
- Division of Pediatric NephrologyDepartment of Pediatrics, The Children’s Hospital of PhiladelphiaPhiladelphiaPA
- Department of Biostatistics, Epidemiology, and InformaticsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Harold I. Feldman
- Department of Biostatistics, Epidemiology, and InformaticsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
- Center for Clinical Epidemiology and BiostatisticsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Charles Ginsberg
- Division of Nephrology‐HypertensionUniversity of California, San DiegoSan DiegoCA
| | | | - Tamara Isakova
- Division of Nephrology and Hypertension, Center for Translational Metabolism and Health, Institute for Public Health and MedicineNorthwestern University Feinberg School of MedicineChicagoIL
| | - Mary B. Leonard
- Division of Nephrology, Lucile Packard Children’s HospitalStanford University School of MedicinePalo AltoCA
| | - Benjamin Lidgard
- Division of Nephrology and Kidney Research Institute, Department of MedicineUniversity of WashingtonSeattleWA
| | | | - Myles Wolf
- Division of Nephrology, Department of Medicine, Duke Clinical Research InstituteDuke University School of MedicineDurhamNCUSA
| | - Dawei Xie
- Department of Biostatistics, Epidemiology, and InformaticsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
- Center for Clinical Epidemiology and BiostatisticsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Bryan R. Kestenbaum
- Division of Nephrology and Kidney Research Institute, Department of MedicineUniversity of WashingtonSeattleWA
| | - Ian H. de Boer
- Division of Nephrology and Kidney Research Institute, Department of MedicineUniversity of WashingtonSeattleWA
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Wexler DJ, de Boer IH, Ghosh A, Younes N, Bebu I, Inzucchi SE, McGill JB, Mudaliar S, Schade D, Steffes MW, Tamborlane WV, Tan MH, Ismail-Beigi F. Comparative Effects of Glucose-Lowering Medications on Kidney Outcomes in Type 2 Diabetes: The GRADE Randomized Clinical Trial. JAMA Intern Med 2023; 183:705-714. [PMID: 37213109 PMCID: PMC10203973 DOI: 10.1001/jamainternmed.2023.1487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 03/19/2023] [Indexed: 05/23/2023]
Abstract
Importance Type 2 diabetes (T2D) is the leading cause of kidney disease in the US. It is not known whether glucose-lowering medications differentially affect kidney function. Objective To evaluate kidney outcomes in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) trial comparing 4 classes of glucose-lowering medications added to metformin for glycemic management in individuals with T2D. Design, Setting, and Participants A randomized clinical trial was conducted at 36 sites across the US. Participants included adults with T2D for less than 10 years, a hemoglobin A1c level between 6.8% and 8.5%, and estimated glomerular filtration rate (eGFR) greater than or equal to 60 mL/min/1.73 m2 who were receiving metformin treatment. A total of 5047 participants were enrolled between July 8, 2013, and August 11, 2017, and followed up for a mean of 5.0 years (range, 0-7.6 years). Data were analyzed from February 21, 2022, to March 27, 2023. Interventions Addition of insulin glargine, glimepiride, liraglutide, or sitagliptin to metformin, with the medication combination continued until the HbA1c was greater than 7.5%; thereafter, insulin was added to maintain glycemic control. Main Outcomes and Measures Chronic eGFR slope (change in eGFR between year 1 and trial end) and a composite kidney disease progression outcome (albuminuria, dialysis, transplant, or death due to kidney disease). Secondary outcomes included incident eGFR less than 60 mL/min/1.73 m2, 40% decrease in eGFR to less than 60 mL/min/1.73 m2, doubling of urine albumin-to-creatinine ratio (UACR) to 30 mg/g or greater, and progression of Kidney Disease Improving Global Outcomes stage. Analyses were intention-to-treat. Results Of the 5047 participants, 3210 (63.6%) were men. Baseline characteristics were mean (SD) age 57.2 (10.0) years; HbA1c 7.5% (0.5%); diabetes duration, 4.2 (2.7) years; body mass index, 34.3 (6.8); blood pressure 128.3/77.3 (14.7/9.9) mm Hg; eGFR 94.9 (16.8) mL/min/1.73 m2; and median UACR, 6.4 (IQR 3.1-16.9) mg/g; 2933 (58.1%) were treated with renin-angiotensin-aldosterone inhibitors. Mean chronic eGFR slope was -2.03 (95% CI, -2.20 to -1.86) mL/min/1.73 m2 per year for patients receiving sitagliptin; glimepiride, -1.92 (95% CI, -2.08 to -1.75) mL/min/1.73 m2 per year; liraglutide, -2.08 (95% CI, -2.26 to -1.90) mL/min/1.73 m2 per year; and insulin glargine, -2.02 (95% CI, -2.19 to -1.84) mL/min/1.73 m2 per year (P = .61). Mean composite kidney disease progression occurred in 135 (10.6%) patients receiving sitagliptin; glimepiride, 155 (12.4%); liraglutide, 152 (12.0%); and insulin glargine, 150 (11.9%) (P = .56). Most of the composite outcome was attributable to albuminuria progression (98.4%). There were no significant differences by treatment assignment in secondary outcomes. There were no adverse kidney events attributable to medication assignment. Conclusions and Relevance In this randomized clinical trial, among people with T2D and predominantly free of kidney disease at baseline, no significant differences in kidney outcomes were observed during 5 years of follow-up when a dipeptidyl peptidase 4 inhibitor, sulfonylurea, glucagonlike peptide 1 receptor agonist, or basal insulin was added to metformin for glycemic control. Trial Registration ClinicalTrials.gov Identifier: NCT01794143.
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Affiliation(s)
- Deborah J. Wexler
- Massachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, Massachusetts
| | - Ian H. de Boer
- Kidney Research Institute, University of Washington, Seattle
| | - Alokananda Ghosh
- George Washington University Biostatistics Center, Rockville, Maryland
| | - Naji Younes
- George Washington University Biostatistics Center, Rockville, Maryland
| | - Ionut Bebu
- George Washington University Biostatistics Center, Rockville, Maryland
| | - Silvio E. Inzucchi
- Section of Endocrinology and Metabolism, Yale School of Medicine, New Haven, Connecticut
| | - Janet B. McGill
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St Louis, Missouri
| | - Sunder Mudaliar
- VA San Diego Healthcare System and Division of Endocrinology and Metabolism, University of California San Diego School of Medicine, San Diego
| | - David Schade
- Division of Endocrinology, University of New Mexico Health Sciences Center, Albuquerque
| | - Michael W. Steffes
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - William V. Tamborlane
- Division of Pediatric Endocrinology, Yale School of Medicine, New Haven, Connecticut
| | - Meng H. Tan
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan, Ann Arbor
| | - Faramarz Ismail-Beigi
- Division of Clinical and Molecular Endocrinology, Case Western Reserve University and Cleveland VA Medical Center, Cleveland, Ohio
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20
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Charu V, Liang JW, Chertow GM, Li ZJ, Montez-Rath ME, Geldsetzer P, de Boer IH, Tian L, Tamura MK. Heterogeneous treatment effects of intensive glycemic control on kidney microvascular outcomes in ACCORD. medRxiv 2023:2023.06.14.23291396. [PMID: 37398349 PMCID: PMC10312895 DOI: 10.1101/2023.06.14.23291396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Objective Clear criteria to individualize glycemic targets are lacking. In this post-hoc analysis of the Action to Control Cardiovascular Risk in Diabetes trial (ACCORD), we evaluate whether the kidney failure risk equation (KFRE) can identify patients who disproportionately benefit from intensive glycemic control on kidney microvascular outcomes. Research design and methods We divided the ACCORD trial population in quartiles based on 5-year kidney failure risk using the KFRE. We estimated conditional treatment effects within each quartile and compared them to the average treatment effect in the trial. The treatment effects of interest were the 7-year restricted-mean-survival-time (RMST) differences between intensive and standard glycemic control arms on (1) time-to-first development of severely elevated albuminuria or kidney failure and (2) all-cause mortality. Results We found evidence that the effect of intensive glycemic control on kidney microvascular outcomes and all-cause mortality varies with baseline risk of kidney failure. Patients with elevated baseline risk of kidney failure benefitted the most from intensive glycemic control on kidney microvascular outcomes (7-year RMST difference of 115 v. 48 days in the entire trial population) However, this same patient group also experienced shorter times to death (7-year RMST difference of -57 v. -24 days). Conclusions We found evidence of heterogenous treatment effects of intensive glycemic control on kidney microvascular outcomes in ACCORD as a function of predicted baseline risk of kidney failure. Patients with higher kidney failure risk experienced the most pronounced benefits of treatment on kidney microvascular outcomes but also experienced the highest risk of all-cause mortality.
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Affiliation(s)
- Vivek Charu
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Jane W. Liang
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Glenn M. Chertow
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA
| | - Zhuo Jun Li
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA
| | - Maria E. Montez-Rath
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Pascal Geldsetzer
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Ian H. de Boer
- Division of Nephrology, Department of Medicine, and the Kidney Research Institute, University of Washington, Seattle, WA
| | - Lu Tian
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA
| | - Manjula Kurella Tamura
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
- Geriatric Research and Education Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA
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21
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Ahmadi A, Begue G, Valencia AP, Norman JE, Lidgard B, Bennett BJ, Van Doren MP, Marcinek DJ, Fan S, Prince DK, Gamboa J, Himmelfarb J, de Boer IH, Kestenbaum BR, Roshanravan B. Randomized crossover clinical trial of coenzyme Q10 and nicotinamide riboside in chronic kidney disease. JCI Insight 2023; 8:e167274. [PMID: 37159264 PMCID: PMC10393227 DOI: 10.1172/jci.insight.167274] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 05/03/2023] [Indexed: 05/10/2023] Open
Abstract
BackgroundCurrent studies suggest mitochondrial dysfunction is a major contributor to impaired physical performance and exercise intolerance in chronic kidney disease (CKD). We conducted a clinical trial of coenzyme Q10 (CoQ10) and nicotinamide riboside (NR) to determine their impact on exercise tolerance and metabolic profile in patients with CKD.MethodsWe conducted a randomized, placebo-controlled, double-blind, crossover trial comparing CoQ10, NR, and placebo in 25 patients with an estimated glomerular filtration rate (eGFR) of less than 60mL/min/1.73 m2. Participants received NR (1,000 mg/day), CoQ10 (1,200 mg/day), or placebo for 6 weeks each. The primary outcomes were aerobic capacity measured by peak rate of oxygen consumption (VO2 peak) and work efficiency measured using graded cycle ergometry testing. We performed semitargeted plasma metabolomics and lipidomics.ResultsParticipant mean age was 61.0 ± 11.6 years and mean eGFR was 36.9 ± 9.2 mL/min/1.73 m2. Compared with placebo, we found no differences in VO2 peak (P = 0.30, 0.17), total work (P = 0.47, 0.77), and total work efficiency (P = 0.46, 0.55) after NR or CoQ10 supplementation. NR decreased submaximal VO2 at 30 W (P = 0.03) and VO2 at 60 W (P = 0.07) compared with placebo. No changes in eGFR were observed after NR or CoQ10 treatment (P = 0.14, 0.88). CoQ10 increased free fatty acids and decreased complex medium- and long-chain triglycerides. NR supplementation significantly altered TCA cycle intermediates and glutamate that were involved in reactions that exclusively use NAD+ and NADP+ as cofactors. NR decreased a broad range of lipid groups including triglycerides and ceramides.ConclusionsSix weeks of treatment with NR or CoQ10 improved markers of systemic mitochondrial metabolism and lipid profiles but did not improve VO2 peak or total work efficiency.Trial registrationClinicalTrials.gov NCT03579693.FundingNational Institutes of Diabetes and Digestive and Kidney Diseases (grants R01 DK101509, R03 DK114502, R01 DK125794, and R01 DK101509).
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Affiliation(s)
- Armin Ahmadi
- Department of Medicine, Division of Nephrology, UCD, Davis, California, USA
| | - Gwenaelle Begue
- Kinesiology Department, California State University, Sacramento, California, USA
| | - Ana P. Valencia
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Jennifer E. Norman
- Department of Internal Medicine, Division of Cardiovascular Medicine, UCD, Davis, California, USA
| | - Benjamin Lidgard
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Brian J. Bennett
- Obesity and Metabolism Research Unit, Western Human Nutrition Research Center, USDA, ARS, Davis, California, USA
| | | | - David J. Marcinek
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Sili Fan
- Department of Biostatistics, UCD, Davis, California, USA
| | - David K. Prince
- Department of Medicine, Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Jorge Gamboa
- School of Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Jonathan Himmelfarb
- Department of Medicine, Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Ian H. de Boer
- Department of Medicine, Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Bryan R. Kestenbaum
- Department of Medicine, Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Baback Roshanravan
- Department of Medicine, Division of Nephrology, UCD, Davis, California, USA
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22
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Sharma K, Zhang G, Hansen J, Bjornstad P, Lee HJ, Menon R, Hejazi L, Liu JJ, Franzone A, Looker HC, Choi BY, Fernandez R, Venkatachalam MA, Kugathasan L, Sridhar VS, Natarajan L, Zhang J, Sharma V, Kwan B, Waikar S, Himmelfarb J, Tuttle K, Kestenbaum B, Fuhrer T, Feldman H, de Boer IH, Tucci FC, Sedor J, Heerspink HL, Schaub J, Otto E, Hodgin JB, Kretzler M, Anderton C, Alexandrov T, Cherney D, Lim SC, Nelson RG, Gelfond J, Iyengar R. Role of endogenous adenine in kidney failure and mortality with diabetes. medRxiv 2023:2023.05.31.23290681. [PMID: 37398187 PMCID: PMC10312877 DOI: 10.1101/2023.05.31.23290681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Diabetic kidney disease (DKD) can lead to end-stage kidney disease (ESKD) and mortality, however, few mechanistic biomarkers are available for high risk patients, especially those without macroalbuminuria. Urine from participants with diabetes from Chronic Renal Insufficiency Cohort (CRIC), Singapore Study of Macro-Angiopathy and Reactivity in Type 2 Diabetes (SMART2D), and the Pima Indian Study determined if urine adenine/creatinine ratio (UAdCR) could be a mechanistic biomarker for ESKD. ESKD and mortality were associated with the highest UAdCR tertile in CRIC (HR 1.57, 1.18, 2.10) and SMART2D (HR 1.77, 1.00, 3.12). ESKD was associated with the highest UAdCR tertile in patients without macroalbuminuria in CRIC (HR 2.36, 1.26, 4.39), SMART2D (HR 2.39, 1.08, 5.29), and Pima Indian study (HR 4.57, CI 1.37-13.34). Empagliflozin lowered UAdCR in non-macroalbuminuric participants. Spatial metabolomics localized adenine to kidney pathology and transcriptomics identified ribonucleoprotein biogenesis as a top pathway in proximal tubules of patients without macroalbuminuria, implicating mammalian target of rapamycin (mTOR). Adenine stimulated matrix in tubular cells via mTOR and stimulated mTOR in mouse kidneys. A specific inhibitor of adenine production was found to reduce kidney hypertrophy and kidney injury in diabetic mice. We propose that endogenous adenine may be a causative factor in DKD.
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23
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de Boer IH, Hirsch IB. Continuous Glucose Monitoring: A Rapidly Evolving New Tool to Understand Pathophysiology and Enhance Clinical Care in CKD. Clin J Am Soc Nephrol 2023; 18:421-423. [PMID: 36914585 PMCID: PMC10103192 DOI: 10.2215/cjn.0000000000000125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Affiliation(s)
- Ian H. de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
- University of Washington Medicine Diabetes Institute, University of Washington, Seattle, Washington
| | - Irl B. Hirsch
- Kidney Research Institute, University of Washington, Seattle, Washington
- University of Washington Medicine Diabetes Institute, University of Washington, Seattle, Washington
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, Washington
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24
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Hsu S, Bi J, de Boer IH. Invited Perspective: Still Hazy? Air Pollution and Acute Kidney Injury. Environ Health Perspect 2023; 131:41302. [PMID: 37036791 PMCID: PMC10084927 DOI: 10.1289/ehp12860] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 06/19/2023]
Affiliation(s)
- Simon Hsu
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Jianzhao Bi
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Ian H. de Boer
- Division of Nephrology and Kidney Research Institute, Department of Medicine, University of Washington, Seattle, Washington, USA
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25
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Ginsberg C, Hoofnagle AN, Katz R, Cheng JH, Hsu S, Budoff MJ, Kado DM, Kestenbaum B, Siscovick DS, Michos ED, Ix JH, de Boer IH. Vitamin D Metabolite Ratio and Coronary Artery Calcification in the Multi-Ethnic Study of Atherosclerosis. Circ Cardiovasc Imaging 2023; 16:e015055. [PMID: 36943910 DOI: 10.1161/circimaging.122.015055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Affiliation(s)
- Charles Ginsberg
- Division of Nephrology-Hypertension, University of California, San Diego (C.G., J.H.C., J.H.I.)
| | - Andrew N Hoofnagle
- Departments of Laboratory Medicine and Medicine and the Kidney Research Institute (A.N.H.), University of Washington, Seattle
| | - Ronit Katz
- Department of Obstetrics and Gynecology (R.K.), University of Washington, Seattle
| | - Jonathan H Cheng
- Division of Nephrology-Hypertension, University of California, San Diego (C.G., J.H.C., J.H.I.)
| | - Simon Hsu
- Division of Nephrology and Kidney Research Institute (S.H., B.K., I.H.d.B.), University of Washington, Seattle
| | - Matthew J Budoff
- Cedars-Sinai Heart Institute and David Geffen School of Medicine UCLA, Los Angeles, CA (M.J.B.)
| | - Deborah M Kado
- Department of Medicine, Stanford University, Palo Alto, CA (D.M.K.)
| | - Bryan Kestenbaum
- Division of Nephrology and Kidney Research Institute (S.H., B.K., I.H.d.B.), University of Washington, Seattle
| | | | - Erin D Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD (E.D.M.)
| | - Joachim H Ix
- Division of Nephrology-Hypertension, University of California, San Diego (C.G., J.H.C., J.H.I.)
- Nephrology Section, Veterans Affairs San Diego Healthcare System, CA (J.H.I.)
| | - Ian H de Boer
- Division of Nephrology and Kidney Research Institute (S.H., B.K., I.H.d.B.), University of Washington, Seattle
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Navaneethan SD, Zoungas S, Caramori ML, Chan JCN, Heerspink HJL, Hurst C, Liew A, Michos ED, Olowu WA, Sadusky T, Tandon N, Tuttle KR, Wanner C, Wilkens KG, Craig JC, Tunnicliffe DJ, Tonelli M, Cheung M, Earley A, Rossing P, de Boer IH, Khunti K. Diabetes Management in Chronic Kidney Disease: Synopsis of the KDIGO 2022 Clinical Practice Guideline Update. Ann Intern Med 2023; 176:381-387. [PMID: 36623286 DOI: 10.7326/m22-2904] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
DESCRIPTION The KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease is an update of the 2020 guideline from Kidney Disease: Improving Global Outcomes (KDIGO). METHODS The KDIGO Work Group updated the guideline, which included reviewing and grading new evidence that was identified and summarized. As in the previous guideline, the Work Group used the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach to appraise evidence and rate the strength of recommendations and expert judgment to develop consensus practice points. New evidence led to updating of recommendations in the chapters Comprehensive Care in Patients With Diabetes and CKD (Chapter 1) and Glucose-Lowering Therapies in Patients With T2D and CKD (Chapter 4). New evidence did not change recommendations in the chapters Glycemic Monitoring and Targets in Patients With Diabetes and CKD (Chapter 2), Lifestyle Interventions in Patients With Diabetes and CKD (Chapter 3), and Approaches to Management of Patients With Diabetes and CKD (Chapter 5). RECOMMENDATIONS The updated guideline includes 13 recommendations and 52 practice points for clinicians caring for patients with diabetes and chronic kidney disease (CKD). A focus on preserving kidney function and maintaining well-being is recommended using a layered approach to care, starting with a foundation of lifestyle interventions, self-management, and first-line pharmacotherapy (such as sodium-glucose cotransporter-2 inhibitors) demonstrated to improve clinical outcomes. To this are added additional drugs with heart and kidney protection, such as glucagon-like peptide-1 receptor agonists and nonsteroidal mineralocorticoid receptor antagonists, and interventions to control risk factors for CKD progression and cardiovascular events, such as blood pressure, glycemia, and lipids.
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Affiliation(s)
- Sankar D Navaneethan
- Section of Nephrology, Department of Medicine, Selzman Institute for Kidney Health, Baylor College of Medicine, Institute of Clinical and Translational Research, Baylor College of Medicine, and Section of Nephrology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas (S.D.N.)
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia (S.Z.)
| | - M Luiza Caramori
- Department of Endocrinology and Metabolism, Cleveland Clinic Foundation, Cleveland, Ohio, and Division of Diabetes, Endocrinology and Metabolism, University of Minnesota, Minneapolis, Minnesota (M.L.C.)
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong, China (J.C.N.C.)
| | - Hiddo J L Heerspink
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands (H.J.L.H.)
| | | | - Adrian Liew
- The Kidney & Transplant Practice, Mount Elizabeth Novena Hospital, Singapore (A.L.)
| | - Erin D Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland (E.D.M.)
| | - Wasiu A Olowu
- Pediatric Nephrology and Hypertension Unit, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, State of Osum, Nigeria (W.A.O.)
| | | | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India (N.T.)
| | - Katherine R Tuttle
- Division of Nephrology, University of Washington, Spokane, Washington (K.R.T.)
| | - Christoph Wanner
- Division of Nephrology, University Hospital of Würzburg, Würzburg, Germany (C.W.)
| | - Katy G Wilkens
- Nutrition and Fitness Services, Northwest Kidney Centers, Seattle, Washington (K.G.W.)
| | - Jonathan C Craig
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, and Cochrane Kidney and Transplant, Sydney, New South Wales, Australia (J.C.C.)
| | - David J Tunnicliffe
- Cochrane Kidney and Transplant and Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia (D.J.T.)
| | - Marcello Tonelli
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada (M.T.)
| | | | | | - Peter Rossing
- Steno Diabetes Center Copenhagen and University of Copenhagen, Copenhagen, Denmark (P.R.)
| | - Ian H de Boer
- Kidney Research Institute, University of Washington, Seattle, Washington (I.H.B.)
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, United Kingdom (K.K.)
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27
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Lidgard B, Hoofnagle AN, Zelnick LR, de Boer IH, Fretts AM, Kestenbaum BR, Lemaitre RN, Robinson-Cohen C, Bansal N. High-Density Lipoprotein Lipidomics in Chronic Kidney Disease. Clin Chem 2023; 69:273-282. [PMID: 36644946 PMCID: PMC10069017 DOI: 10.1093/clinchem/hvac216] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/17/2022] [Indexed: 01/17/2023]
Abstract
BACKGROUND Patients with chronic kidney disease (CKD) have dysfunctional high-density lipoprotein (HDL) particles as compared with the general population. Understanding the lipid composition of HDL may provide mechanistic insight. We tested associations of estimated glomerular filtration rate (eGFR) and albuminuria with relative HDL abundance of ceramides, sphingomyelins, and phosphatidylcholines in participants with CKD. METHODS We studied 490 participants with CKD from the Seattle Kidney Study. HDL was isolated from plasma; targeted lipidomics was used to quantify the relative abundance of ceramides, sphingomyelins, and phosphatidylcholines per 10 µg of total HDL protein. We evaluated the associations of eGFR and albuminuria with levels of individual lipids and lipid classes (including 7 ceramides, 6 sphingomyelins, and 24 phosphatidylcholines) using multivariable linear regression, controlling for multiple comparisons via the false discovery rate. RESULTS The mean (SD) eGFR was 45 (24) mL/min/1.73 m2; the median (IQR[interquartile range]) albuminuria was 108 (16, 686) mg/g (12.2 [1.8, 77.6] mg/mmol) urine creatinine. After adjusting for demographics, past medical history, laboratory values, and medication use, eGFR was not associated with higher relative abundance of any class of lipids or individual lipids. Greater albuminuria was significantly associated with a higher relative abundance of total ceramides and moderate-long R-chain sphingomyelins, ceramides 22:0 and 24:1, hexosylceramide 16:0, sphingomyelin 16:0, and phosphatidylcholines 29:0, 30:1, and 38:2; the strongest association was for hexosylceramide 16:0 (increase per doubling of urine albumin to creatinine ratio 0.022 (95% CI, 0.012-0.032). CONCLUSIONS Greater albuminuria was significantly associated with specific alterations in the lipid composition of HDL in participants with CKD.
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Ahmadi A, Huda MN, Bennett BJ, Gamboa J, Zelnick LR, Smith LR, Chondronikola M, Raftery D, de Boer IH, Roshanravan B. Chronic Kidney Disease is Associated With Attenuated Plasma Metabolome Response to Oral Glucose Tolerance Testing. J Ren Nutr 2023; 33:316-325. [PMID: 36270479 DOI: 10.1053/j.jrn.2022.09.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 08/01/2022] [Accepted: 09/25/2022] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Chronic kidney disease (CKD) is associated with decreased anabolic response to insulin contributing to protein-energy wasting. Targeted metabolic profiling of oral glucose tolerance testing (OGTT) may help identify metabolic pathways contributing to disruptions to insulin response in CKD. METHODS Using targeted metabolic profiling, we studied the plasma metabolome response in 41 moderate-to-severe nondiabetic CKD patients and 20 healthy controls at fasting and 2 hours after an oral glucose load. We used linear mixed modeling with random intercepts, adjusting for age, gender, race/ethnicity, body weight, and batch to assess heterogeneity in response to OGTT by CKD status. RESULTS Mean estimated glomerular filtration rate among CKD participants was 38.9 ± 12.7 mL/min per 1.73 m2 compared to 87.2 ± 17.7 mL/min per 1.73 m2 among controls. Glucose ingestion induced an anabolic response resulting in increased glycolysis products and a reduction in a wide range of metabolites including amino acids, tricarboxylic acid cycle intermediates, and purine nucleotides compared to fasting. Participants with CKD demonstrated a blunted anabolic response to OGTT evidenced by significant changes in 13 metabolites compared to controls. The attenuated metabolome response predominant involved mitochondrial energy metabolism, vitamin B family, and purine nucleotides. Compared to controls, CKD participants had elevated lactate:pyruvate (L:P) ratio and decreased guanosine diphosphate:guanosine triphosphate ratio during OGTT. CONCLUSION Metabolic profiling of OGTT response suggests a broad disruption of mitochondrial energy metabolism in CKD patients. These findings motivate further investigation into the impact of insulin sensitizers and mitochondrial targeted therapeutics on energy metabolism in patients with nondiabetic CKD.
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Affiliation(s)
- Armin Ahmadi
- Department of Medicine, Division of Nephrology, University of California Davis, Davis, California
| | - M Nazmul Huda
- Obesity and Metabolism Research Unit, Western Human Nutrition Research Center, USDA, ARS, Davis, California; Department of Nutrition, University of California Davis, Davis, California
| | - Brian J Bennett
- Obesity and Metabolism Research Unit, Western Human Nutrition Research Center, USDA, ARS, Davis, California; Department of Nutrition, University of California Davis, Davis, California
| | - Jorge Gamboa
- Division of Clinical Pharmacology, Department of Medicine, School of Medicine, Vanderbilt University, Nashville, Tennessee
| | - Leila R Zelnick
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington
| | - Lucas R Smith
- Department of Physical Medicine and Rehabilitation, School of Medicine, UCD, Davis, California
| | | | - Daniel Raftery
- Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington
| | - Ian H de Boer
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington; Puget Sound Health Care System, Seattle, Washington
| | - Baback Roshanravan
- Department of Medicine, Division of Nephrology, University of California Davis, Davis, California.
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Best CM, Thummel KE, Hsu S, Lin Y, Zelnick LR, Kestenbaum B, Kushnir MM, de Boer IH, Hoofnagle AN. The plasma free fraction of 25-hydroxyvitamin D 3 is not strongly associated with 25-hydroxyvitamin D 3 clearance in kidney disease patients and controls. J Steroid Biochem Mol Biol 2023; 226:106206. [PMID: 36404469 DOI: 10.1016/j.jsbmb.2022.106206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 10/14/2022] [Accepted: 10/23/2022] [Indexed: 11/06/2022]
Abstract
Circulating 25-hydroxyvitamin D [25(OH)D] concentration is used to monitor vitamin D status. Plasma protein binding may influence the 25(OH)D dose-response to vitamin D treatment through a direct relationship between the plasma unbound ("free") fraction and clearance of 25(OH)D. We previously evaluated 25(OH)D3 clearance in relation to kidney function using intravenous administration of deuterium labeled 25(OH)D3. In this follow up study, we determined the free fraction of 25(OH)D3 in plasma (i.e., percent free 25(OH)D3) and the serum concentration and haplotype of vitamin D binding protein in these participants. We hypothesized that the percent free 25(OH)D3 would be positively associated with 25(OH)D3 clearance and would mediate associations between clearance and vitamin D binding protein (GC) haplotypes. Participants were mean (SD) age 64 (10) years and included 42 individuals with normal kidney function (controls), 24 individuals with chronic kidney disease, and 19 individuals with kidney failure on hemodialysis. Free plasma 25(OH)D2 and 25(OH)D3 concentrations were quantified with a new liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. Because there is no reference measurement procedure for free 25(OH)D, we compared the new method with a widely-used predictive equation and a commercial immunoassay. The percent free 25(OH)D3 determined by predictive equation was weakly associated with 25(OH)D3 clearance (R = 0.27; P = 0.01). However, this association was absent when percent free 25(OH)D3 was determined using LC-MS/MS-measured free and total 25(OH)D3 concentrations. Method comparison uncovered a negative bias in immunoassay-measured free 25(OH)D concentrations among participants with kidney failure, so immunoassay results were not used to evaluate the association between percent free 25(OH)D3 and clearance. GC2 haplotype carriage was associated with 25(OH)D3 clearance. Among individuals with 2 relative to no GC2 alleles, clearance was 87 (95% CI: 15-158) mL/d greater. However, in contrast with the literature, GC2 carriage was not significantly related to DBP concentration or the percent free 25(OH)D3 (either predicted or measured). In conclusion, the free fraction of 25(OH)D3 is not strongly associated with 25(OH)D3 clearance but may explain small differences in clearance according to GC haplotype.
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Affiliation(s)
- Cora M Best
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA; Kidney Research Institute, University of Washington, Seattle, WA, USA.
| | - Kenneth E Thummel
- Department of Pharmaceutics, University of Washington, Seattle, WA, USA
| | - Simon Hsu
- Kidney Research Institute, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA
| | - Yvonne Lin
- Department of Pharmaceutics, University of Washington, Seattle, WA, USA
| | - Leila R Zelnick
- Kidney Research Institute, University of Washington, Seattle, WA, USA
| | - Bryan Kestenbaum
- Kidney Research Institute, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Mark M Kushnir
- ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, USA; Department of Pathology, University of Utah, Salt Lake City, UT, USA
| | - Ian H de Boer
- Kidney Research Institute, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA; Puget Sound VA Healthcare System, Seattle, WA, USA
| | - Andrew N Hoofnagle
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA; Kidney Research Institute, University of Washington, Seattle, WA, USA; Department of Pharmaceutics, University of Washington, Seattle, WA, USA
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Bebu I, Braffett BH, de Boer IH, Aiello LP, Bantle JP, Lorenzi GM, Herman WH, Gubitosi-Klug RA, Perkins BA, Lachin JM, Molitch ME. Relationships Between the Cumulative Incidences of Long-term Complications in Type 1 Diabetes: The DCCT/EDIC Study. Diabetes Care 2023; 46:361-368. [PMID: 36520643 PMCID: PMC9887612 DOI: 10.2337/dc22-1744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/15/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To describe the relationships between the cumulative incidences of long-term complications in individuals with type 1 diabetes (T1D) and assess whether observed associations are independent of age, duration of diabetes, and glycemic levels. METHODS Proliferative diabetic retinopathy (PDR), clinically significant macular edema (CSME), reduced estimated glomerular filtration rate (eGFR), amputations, cardiovascular disease (CVD), and mortality were assessed in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study over ∼30 years. RESEARCH DESIGN AND RESULTS The cumulative incidence of complications ranged from 3% (amputations) to 37% (CSME). There were large differences in the cumulative incidence of PDR between participants with versus without prior CSME (66% vs. 15%), reduced eGFR (59% vs. 29%), and amputation (68% vs. 32%); reduced eGFR with or without prior PDR (25% vs. 9%), amputation (48% vs. 13%), and CVD (30% vs. 11%); CVD with or without prior reduced eGFR (37% vs. 14%) and amputation (50% vs. 16%); and mortality with or without prior reduced eGFR (22% vs. 9%), amputation (35% vs. 8%), and CVD (25% vs. 8%). Adjusted for age, duration of T1D, and mean updated HbA1c, the complications and associations with higher risk included PDR with CSME (hazard ratio [HR] 1.88; 95% CI 1.42, 2.50), reduced eGFR (HR 1.41; 95% CI 1.01, 1.97), and CVD (HR 1.43; 95% CI 1.06, 1.92); CSME with higher risk of PDR (HR 3.94; 95% CI 3.18 4.89), reduced eGFR (HR 1.49; 95% CI 1.10, 2.01), and CVD (HR 1.35; 95% CI 1.03, 1.78); reduced eGFR with higher risk of CVD (HR 2.09; 95% CI 1.44, 3.03), and death (HR 3.40; 95% CI 2.35, 4.92); amputation(s) with death (HR 2.97; 95% CI 1.70, 2.90); and CVD with reduced eGFR (HR 1.59; 95% CI 1.08, 2.34) and death (HR 1.95; 95% CI 1.32, 2.90). CONCLUSIONS Long-term micro- and macrovascular complications and mortality are highly correlated. Age, diabetes duration, and glycemic levels do not completely explain these associations.
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Affiliation(s)
- Ionut Bebu
- Biostatistics Center, The George Washington University, Rockville, MD
| | | | - Ian H. de Boer
- Division of Nephrology, University of Washington, Seattle, WA
| | - Lloyd P. Aiello
- Department of Ophthalmology, Joslin Diabetes Center, Boston, MA
| | - John P. Bantle
- Department of Medicine, University of Minnesota, Minneapolis, MN
| | - Gayle M. Lorenzi
- Department of Medicine, University of California San Diego, La Jolla, CA
| | | | | | - Bruce A. Perkins
- Division of Endocrinology and Metabolism, University of Toronto, Toronto, Canada
| | - John M. Lachin
- Biostatistics Center, The George Washington University, Rockville, MD
| | - Mark E. Molitch
- Division of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University, Chicago, IL
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Pauley ME, Vinovskis C, MacDonald A, Baca M, Pyle L, Wadwa RP, Fornoni A, Nadeau KJ, Pavkov M, Nelson RG, Gordin D, de Boer IH, Tommerdahl KL, Bjornstad P. Triglyceride content of lipoprotein subclasses and kidney hemodynamic function and injury in adolescents with type 1 diabetes. J Diabetes Complications 2023; 37:108384. [PMID: 36623423 PMCID: PMC10176326 DOI: 10.1016/j.jdiacomp.2022.108384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 11/29/2022] [Accepted: 12/06/2022] [Indexed: 12/15/2022]
Abstract
AIMS Elevated triglycerides (TG) are associated with development and progression of kidney disease, and TG distributions across lipoprotein subclasses predict kidney dysfunction in adults with type 1 diabetes (T1D). Little is known regarding these relationships in youth. METHODS In this single center study conducted from October 2018-2019, lipid constituents from lipoprotein subclasses were quantified by targeted nuclear magnetic resonance spectroscopy. Glomerular filtration rate (GFR), renal plasma flow (RPF), afferent arteriolar resistance (RA), efferent arteriolar resistance (RE), intraglomerular pressure (PGLO), urine albumin-to-creatinine ratio (UACR), and chitinase-3-like protein 1 (YKL-40), a marker of kidney tubule injury, were assessed. Cross-sectional relationships were assessed by correlation and multivariable linear regression (adjusted for age, sex, HbA1c) models. RESULTS Fifty youth with T1D (age 16 ± 3 years, 50 % female, HbA1c 8.7 ± 1.3 %, T1D duration 5.7 ± 2.6 years) were included. Very-low-density lipoprotein (VLDL)-TG concentrations correlated and associated with intraglomerular hemodynamic function markers including GFR, PGLO, UACR, as did small low-density lipoprotein (LDL)-TG and small high-density lipoprotein (HDL)-TG. YKL-40 correlated with all lipoprotein subclasses. CONCLUSION TG within lipoprotein subclasses, particularly VLDL, associated with PGLO, GFR, albuminuria, and YKL-40. Lipid perturbations may serve as novel targets to mitigate early kidney disease.
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Affiliation(s)
- Meghan E Pauley
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Carissa Vinovskis
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Alexis MacDonald
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Madison Baca
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Laura Pyle
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA
| | - R Paul Wadwa
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Alessia Fornoni
- Peggy and Harold Katz Family Drug Discovery Center, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Kristen J Nadeau
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Ludeman Family Center for Women's Health Research, University of Colorado School of Medicine, Aurora, CO, USA
| | - Meda Pavkov
- Centers for Disease Control and Prevention, Division of Diabetes Translation, Atlanta, GA, USA
| | - Robert G Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Daniel Gordin
- Minerva Foundation Institute for Medical Research, Helsinki, Finland; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Ian H de Boer
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, WA, USA
| | - Kalie L Tommerdahl
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Ludeman Family Center for Women's Health Research, University of Colorado School of Medicine, Aurora, CO, USA
| | - Petter Bjornstad
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Ludeman Family Center for Women's Health Research, University of Colorado School of Medicine, Aurora, CO, USA; Department of Medicine, Division of Renal Diseases and Hypertension, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
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Ong KL, Marklund M, Huang L, Rye KA, Hui N, Pan XF, Rebholz CM, Kim H, Steffen LM, van Westing AC, Geleijnse JM, Hoogeveen EK, Chen YY, Chien KL, Fretts AM, Lemaitre RN, Imamura F, Forouhi NG, Wareham NJ, Birukov A, Jäger S, Kuxhaus O, Schulze MB, de Mello VD, Tuomilehto J, Uusitupa M, Lindström J, Tintle N, Harris WS, Yamasaki K, Hirakawa Y, Ninomiya T, Tanaka T, Ferrucci L, Bandinelli S, Virtanen JK, Voutilainen A, Jayasena T, Thalamuthu A, Poljak A, Bustamante S, Sachdev PS, Senn MK, Rich SS, Tsai MY, Wood AC, Laakso M, Lankinen M, Yang X, Sun L, Li H, Lin X, Nowak C, Ärnlöv J, Risérus U, Lind L, Le Goff M, Samieri C, Helmer C, Qian F, Micha R, Tin A, Köttgen A, de Boer IH, Siscovick DS, Mozaffarian D, Wu JH. Association of omega 3 polyunsaturated fatty acids with incident chronic kidney disease: pooled analysis of 19 cohorts. BMJ 2023; 380:e072909. [PMID: 36653033 PMCID: PMC9846698 DOI: 10.1136/bmj-2022-072909] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/12/2022] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To assess the prospective associations of circulating levels of omega 3 polyunsaturated fatty acid (n-3 PUFA) biomarkers (including plant derived α linolenic acid and seafood derived eicosapentaenoic acid, docosapentaenoic acid, and docosahexaenoic acid) with incident chronic kidney disease (CKD). DESIGN Pooled analysis. DATA SOURCES A consortium of 19 studies from 12 countries identified up to May 2020. STUDY SELECTION Prospective studies with measured n-3 PUFA biomarker data and incident CKD based on estimated glomerular filtration rate. DATA EXTRACTION AND SYNTHESIS Each participating cohort conducted de novo analysis with prespecified and consistent exposures, outcomes, covariates, and models. The results were pooled across cohorts using inverse variance weighted meta-analysis. MAIN OUTCOME MEASURES Primary outcome of incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m2. In a sensitivity analysis, incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m2 and <75% of baseline rate. RESULTS 25 570 participants were included in the primary outcome analysis and 4944 (19.3%) developed incident CKD during follow-up (weighted median 11.3 years). In multivariable adjusted models, higher levels of total seafood n-3 PUFAs were associated with a lower incident CKD risk (relative risk per interquintile range 0.92, 95% confidence interval 0.86 to 0.98; P=0.009, I2=9.9%). In categorical analyses, participants with total seafood n-3 PUFA level in the highest fifth had 13% lower risk of incident CKD compared with those in the lowest fifth (0.87, 0.80 to 0.96; P=0.005, I2=0.0%). Plant derived α linolenic acid levels were not associated with incident CKD (1.00, 0.94 to 1.06; P=0.94, I2=5.8%). Similar results were obtained in the sensitivity analysis. The association appeared consistent across subgroups by age (≥60 v <60 years), estimated glomerular filtration rate (60-89 v ≥90 mL/min/1.73 m2), hypertension, diabetes, and coronary heart disease at baseline. CONCLUSIONS Higher seafood derived n-3 PUFA levels were associated with lower risk of incident CKD, although this association was not found for plant derived n-3 PUFAs. These results support a favourable role for seafood derived n-3 PUFAs in preventing CKD.
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Affiliation(s)
- Kwok Leung Ong
- Lipid Research Group, School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Matti Marklund
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- The Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Liping Huang
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Kerry-Anne Rye
- Lipid Research Group, School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Nicholas Hui
- Lipid Research Group, School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Xiong-Fei Pan
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, Sichuan, China
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Hyunju Kim
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lyn M Steffen
- University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Anniek C van Westing
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Ellen K Hoogeveen
- Department of Nephrology, Jeroen Bosch Hospital, Den Bosch, The Netherlands
- Institute of Epidemiology and Preventive Medicine College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | | | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Amanda M Fretts
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | | | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Anna Birukov
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Olga Kuxhaus
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Vanessa Derenji de Mello
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Tuomilehto
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaana Lindström
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Nathan Tintle
- The Fatty Acid Research Institute, Sioux Falls, SD, USA
- Department of Population Health Nursing Science, College of Nursing, University of Illinois-Chicago, Chicago, IL, USA
| | - William S Harris
- The Fatty Acid Research Institute, Sioux Falls, SD, USA
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keisuke Yamasaki
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, National Institute of Health, Baltimore, MD, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, National Institute of Health, Baltimore, MD, USA
| | | | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ari Voutilainen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Tharusha Jayasena
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Anne Poljak
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, Australia
| | - Sonia Bustamante
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, Australia
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | | | - Mackenzie K Senn
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Stephen S Rich
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Maria Lankinen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Xiaowei Yang
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Liang Sun
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Huaixing Li
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xu Lin
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden
| | - Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Mélanie Le Goff
- Bordeaux Population Health Research Centre, INSERM, UMR 1219, University of Bordeaux, Bordeaux, France
| | - Cécilia Samieri
- Bordeaux Population Health Research Centre, INSERM, UMR 1219, University of Bordeaux, Bordeaux, France
| | - Catherine Helmer
- Bordeaux Population Health Research Centre, INSERM, UMR 1219, University of Bordeaux, Bordeaux, France
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Renata Micha
- Department of Food Science and Nutrition, University of Thessaly, Karditsa, Greece
- The Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Institute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Centre, University of Freiburg, Freiburg, Germany
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA
- Kidney Research Institute, University of Washington, Seattle, WA, USA
- Puget Sound VA Healthcare System, Seattle, WA, USA
| | | | - Dariush Mozaffarian
- The Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Jason Hy Wu
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- School of Population Health, University of New South Wales, Sydney, NSW, Australia
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Galindo RJ, de Boer IH, Neumiller JJ, Tuttle KR. Continuous Glucose Monitoring to Optimize Management of Diabetes in Patients with Advanced CKD. Clin J Am Soc Nephrol 2023; 18:130-145. [PMID: 36719162 PMCID: PMC10101590 DOI: 10.2215/cjn.04510422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Treatment of patients with diabetes and CKD includes optimizing glycemic control using lifestyle modifications and drugs that safely control glycemia and improve clinical kidney and cardiovascular disease outcomes. However, patients with advanced CKD, defined as eGFR <30 ml/min per 1.73 m2 or kidney disease treated with dialysis, have limitations to the use of some preferred glucose-lowering medications, are often treated with insulin, and experience high rates of severe hypoglycemia. Moreover, hemoglobin A1c accuracy decreases as GFR deteriorates. Hence, there is a need for better glycemic monitoring tools. Continuous glucose monitoring allows for 24-hour glycemic monitoring to understand patterns and the effects of lifestyle and medications. Real-time continuous glucose monitoring can be used to guide the administration of insulin and noninsulin therapies. Continuous glucose monitoring can overcome the limitations of self-monitored capillary glucose testing and hemoglobin A1c and has been shown to prevent hypoglycemic excursions in some populations. More data are needed to understand whether similar benefits can be obtained for patients with diabetes and advanced CKD. This review provides an updated approach to management of glycemia in advanced CKD, focusing on the role of continuous glucose monitoring in this high-risk population.
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Affiliation(s)
- Rodolfo J. Galindo
- Division of Endocrinology, Emory University School of Medicine, Atlanta, Georgia
| | - Ian H. de Boer
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington
| | - Joshua J. Neumiller
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Katherine R. Tuttle
- Nephrology Division, Kidney Research Institute and Institute of Translational Health Sciences, University of Washington, Seattle, Washington
- Providence Medical Research Center, Providence Health Care, Spokane, Washington
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Limonte CP, Zelnick LR, Hoofnagle AN, Thadhani R, Melamed ML, Mora S, Cook NR, Luttmann-Gibson H, Sesso HD, Lee IM, Buring JE, Manson JE, de Boer IH. Effects of Vitamin D 3 Supplementation on Cardiovascular and Cancer Outcomes by eGFR in VITAL. Kidney360 2022; 3:2095-2105. [PMID: 36591342 PMCID: PMC9802543 DOI: 10.34067/kid.0006472022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 10/19/2022] [Indexed: 04/26/2023]
Abstract
Background Reduced 25-hydroxyvitamin D (25[OH]D) metabolism and secondary hyperparathyroidism are common with lower estimated glomerular filtration rate (eGFR) and may contribute to cardiovascular disease and cancer risk. Methods We assessed for heterogeneity by baseline eGFR of the effects of vitamin D3 on cardiovascular and cancer outcomes in the Vitamin D and Omega-3 Trial (VITAL). Participants were randomized to 2000 IU vitamin D3 and/or 1 g Ω-3 fatty acids daily using a placebo-controlled, two-by-two factorial design (5.3 years follow-up). Primary study end points were incident major cardiovascular events and invasive cancer. Changes in serum 25(OH)D and parathyroid hormone (PTH) were examined. Results Baseline eGFR was available for 15,917 participants. Participants' mean age was 68 years, and 51% were women. Vitamin D3 resulted in higher serum 25(OH)D compared with placebo (difference in change 12.5 ng/ml; 95% CI, 12 to 13.1 ng/ml), without heterogeneity by eGFR (P interaction, continuous eGFR=0.2). Difference in change in PTH between vitamin D3 and placebo was larger with lower eGFR (P interaction=0.05): -6.9 (95% CI, -10.5 to -3.4), -5.8 (95% CI, -8.3 to -3.4), -4 (95% CI, -5.9 to -2.2), and -3.8 (95% CI, -5.6 to -2) pg/ml for eGFR <60, 60-74, 75-89, and ≥90 ml/min per 1.73 m2, respectively. Effects of vitamin D3 supplementation on cardiovascular events (P interaction=0.61) and cancer (P interaction=0.89) did not differ by eGFR: HR=1.14 (95% CI, 0.73 to 1.79), HR=1.06 (95% CI, 0.75 to 1.5), HR=0.92 (95% CI, 0.67 to 1.25), and HR=0.92 (95% CI, 0.66 to 1.27) across eGFR categories for cardiovascular events and HR=1.63 (95% CI, 1.03 to 2.58), HR=0.85 (95% CI, 0.64 to 1.11), HR=0.84 (95% CI, 0.68 to 1.03), and 1.11 (95% CI, 0.92 to 1.35) for cancer, respectively. Conclusions We observed no significant heterogeneity by baseline eGFR in the effects of vitamin D3 supplementation versus placebo on cardiovascular or cancer outcomes, despite effects on 25(OH)D and PTH concentrations.
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Affiliation(s)
- Christine P Limonte
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
| | - Leila R Zelnick
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
| | - Andrew N Hoofnagle
- Kidney Research Institute, University of Washington, Seattle, Washington
- Department of Laboratory Medicine, University of Washington, Seattle, Washington
| | - Ravi Thadhani
- Office of the Chief Academic Officer, Mass General Brigham, Boston, Massachusetts
| | - Michal L Melamed
- Division of Nephrology, Department of Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Samia Mora
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nancy R Cook
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Heike Luttmann-Gibson
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Howard D Sesso
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Julie E Buring
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - JoAnn E Manson
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
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de Boer IH, Khunti K, Sadusky T, Tuttle KR, Neumiller JJ, Rhee CM, Rosas SE, Rossing P, Bakris G. Diabetes Management in Chronic Kidney Disease: A Consensus Report by the American Diabetes Association (ADA) and Kidney Disease: Improving Global Outcomes (KDIGO). Diabetes Care 2022; 45:3075-3090. [PMID: 36189689 PMCID: PMC9870667 DOI: 10.2337/dci22-0027] [Citation(s) in RCA: 132] [Impact Index Per Article: 66.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 06/30/2022] [Indexed: 02/05/2023]
Abstract
People with diabetes and chronic kidney disease (CKD) are at high risk for kidney failure, atherosclerotic cardiovascular disease, heart failure, and premature mortality. Recent clinical trials support new approaches to treat diabetes and CKD. The 2022 American Diabetes Association (ADA) Standards of Medical Care in Diabetes and the Kidney Disease: Improving Global Outcomes (KDIGO) 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease each provide evidence-based recommendations for management. A joint group of ADA and KDIGO representatives reviewed and developed a series of consensus statements to guide clinical care from the ADA and KDIGO guidelines. The published guidelines are aligned in the areas of CKD screening and diagnosis, glycemia monitoring, lifestyle therapies, treatment goals, and pharmacologic management. Recommendations include comprehensive care in which pharmacotherapy that is proven to improve kidney and cardiovascular outcomes is layered on a foundation of healthy lifestyle. Consensus statements provide specific guidance on use of renin-angiotensin system inhibitors, metformin, sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide 1 receptor agonists, and a nonsteroidal mineralocorticoid receptor antagonist. These areas of consensus provide clear direction for implementation of care to improve clinical outcomes of people with diabetes and CKD.
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Affiliation(s)
- Ian H. de Boer
- Kidney Research Institute, University of Washington, Seattle, WA
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, U.K
| | | | | | - Joshua J. Neumiller
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA
| | | | - Sylvia E. Rosas
- Joslin Diabetes Center and Harvard Medical School, Boston, MA
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Copenhagen, Demark
- University of Copenhagen, Copenhagen, Denmark
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Hsu S, Criqui MH, Ginsberg C, Hoofnagle AN, Ix JH, McClelland RL, Michos ED, Shea SJ, Siscovick D, Zelnick LR, Kestenbaum BR, de Boer IH. Biomarkers of Vitamin D Metabolism and Hip and Vertebral Fracture Risk: The Multi-Ethnic Study of Atherosclerosis. JBMR Plus 2022; 6:e10697. [PMID: 36530185 PMCID: PMC9751658 DOI: 10.1002/jbm4.10697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/30/2022] [Accepted: 10/26/2022] [Indexed: 11/07/2022] Open
Abstract
Studies on associations between biomarkers of vitamin D metabolism and fracture risk have focused predominantly on White or elderly populations and may not be generalizable to relatively healthy multiethnic populations. We tested associations of total 25-hydroxyvitamin D (25[OH]D), the ratio of 24,25-dihydroxyvitamin D3 to 25-hydroxyvitamin D3 (vitamin D metabolite ratio, VDMR), parathyroid hormone (PTH), and fibroblast growth factor-23 (FGF-23) concentrations measured in serum with risk of hip and vertebral fractures in the Multi-Ethnic Study of Atherosclerosis (MESA). Serum 25-hydroxyvitamin D2 and D3 and 24,25-dihydroxyvitamin D3 were measured by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The study cohort of 6466 participants was without clinically apparent cardiovascular disease and was 39% White, 27% Black, 22% Hispanic, and 12% Chinese. The mean age was 62 years, and 53% were female. There were 128 hip and vertebral fractures over a mean follow-up of 14.2 years. 25(OH)D, the VDMR, PTH, and FGF-23 were not significantly associated with fracture risk after adjustment for demographics, diabetes, smoking, systolic blood pressure, body mass index, medication use, albuminuria, and estimated glomerular filtration rate. Principal component analysis did not suggest differences in linear combinations of 25(OH)D, the VDMR, PTH, and FGF-23 between participants who experienced fractures and those who did not. We did not observe significant interaction between race and ethnicity and any biomarker of vitamin D metabolism on fracture risk. In conclusion, none of the four serum biomarkers of vitamin D metabolism investigated showed a significant association with fracture risk in relatively healthy multiethnic populations. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Simon Hsu
- Division of Nephrology and Kidney Research Institute, Department of MedicineUniversity of WashingtonSeattleWAUSA
| | - Michael H. Criqui
- Division of Preventive Medicine, Department of Family MedicineUniversity of California, San DiegoLa JollaCAUSA
| | - Charles Ginsberg
- Division of Nephrology‐HypertensionUniversity of California, San DiegoSan DiegoCAUSA
| | | | - Joachim H. Ix
- Division of Nephrology‐HypertensionUniversity of California, San DiegoSan DiegoCAUSA
| | | | - Erin D. Michos
- Division of Cardiology, Department of MedicineJohns Hopkins UniversityBaltimoreMDUSA
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical ResearchJohns Hopkins University Bloomberg School of Public HealthBaltimoreMDUSA
| | - Steven J. Shea
- Department of MedicineColumbia University College of Physicians and SurgeonsNew YorkNYUSA
- Department of EpidemiologyMailman School of Public Health, Columbia UniversityNew YorkNYUSA
| | | | - Leila R. Zelnick
- Division of Nephrology and Kidney Research Institute, Department of MedicineUniversity of WashingtonSeattleWAUSA
| | - Bryan R. Kestenbaum
- Division of Nephrology and Kidney Research Institute, Department of MedicineUniversity of WashingtonSeattleWAUSA
| | - Ian H. de Boer
- Division of Nephrology and Kidney Research Institute, Department of MedicineUniversity of WashingtonSeattleWAUSA
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Limonte CP, Kretzler M, Pennathur S, Pop-Busui R, de Boer IH. Present and future directions in diabetic kidney disease. J Diabetes Complications 2022; 36:108357. [PMID: 36403478 PMCID: PMC9764992 DOI: 10.1016/j.jdiacomp.2022.108357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/28/2022] [Accepted: 11/05/2022] [Indexed: 11/16/2022]
Abstract
Diabetic kidney disease (DKD) is the leading cause of kidney failure and is associated with substantial risk of cardiovascular disease, morbidity, and mortality. Traditionally, DKD prevention and management have focused on addressing hyperglycemia, hypertension, obesity, and renin-angiotensin system activation as important risk factors for disease. Over the last decade, sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists have been shown to meaningfully reduce risk of diabetes-related kidney and cardiovascular complications. Additional agents demonstrating benefit in DKD such as non-steroidal mineralocorticoid receptor antagonists and endothelin A receptor antagonists are further contributing to the growing arsenal of DKD therapies. With the availability of greater therapeutic options comes the opportunity to individually optimize DKD prevention and management. Novel applications of transcriptomic, proteomic, and metabolomic/lipidomic technologies, as well as use of artificial intelligence and reinforced learning methods through consortia such as the Kidney Precision Medicine Project and focused studies in established cohorts hold tremendous promise for advancing our understanding and treatment of DKD. Specifically, enhanced understanding of the molecular mechanisms underlying DKD pathophysiology may allow for the identification of new mechanism-based DKD subtypes and the development and implementation of targeted therapies. Implementation of personalized care approaches has the potential to revolutionize DKD care.
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Affiliation(s)
- Christine P Limonte
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA; Kidney Research Institute, University of Washington, Seattle, WA, USA.
| | - Matthias Kretzler
- Division of Nephrology, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Subramaniam Pennathur
- Division of Nephrology, University of Michigan, Ann Arbor, MI, USA; Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA; Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA; Kidney Research Institute, University of Washington, Seattle, WA, USA
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Perkins BA, Bebu I, de Boer IH, Molitch M, Zinman B, Bantle J, Lorenzi GM, Nathan DM, Lachin JM. Optimal Frequency of Urinary Albumin Screening in Type 1 Diabetes. Diabetes Care 2022; 45:2943-2949. [PMID: 36321737 PMCID: PMC9763027 DOI: 10.2337/dc22-1420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/22/2022] [Indexed: 12/04/2022]
Abstract
OBJECTIVE Kidney disease screening recommendations include annual urine testing for albuminuria after 5 years' duration of type 1 diabetes. We aimed to determine a simple, risk factor-based screening schedule that optimizes early detection and testing frequency. RESEARCH DESIGN AND METHODS Urinary albumin excretion measurements from 1,343 participants in the Diabetes Control and Complications Trial and its long-term follow-up were used to create piecewise-exponential incidence models assuming 6-month constant hazards. Likelihood of the onset of moderately or severely elevated albuminuria (confirmed albumin excretion rate AER ≥30 or ≥300 mg/24 h, respectively) and its risk factors were used to identify individualized screening schedules. Time with undetected albuminuria and number of tests were compared with annual screening. RESULTS The 3-year cumulative incidence of elevated albuminuria following normoalbuminuria at any time during the study was 3.2%, which was strongly associated with higher glycated hemoglobin (HbA1c) and AER. Personalized screening in 2 years for those with current AER ≤10 mg/24 h and HbA1c ≤8% (low risk [0.6% three-year cumulative incidence]), in 6 months for those with AER 21-30 mg/24 h or HbA1c ≥9% (high risk [8.9% three-year cumulative incidence]), and in 1 year for all others (average risk [2.4% three-year cumulative incidence]) was associated with 34.9% reduction in time with undetected albuminuria and 20.4% reduction in testing frequency as compared with annual screening. Stratification by categories of HbA1c or AER alone was associated with reductions of lesser magnitude. CONCLUSIONS A personalized alternative to annual screening in type 1 diabetes can substantially reduce both the time with undetected kidney disease and the frequency of urine testing. ARTICLE HIGHLIGHTS Kidney disease screening recommendations include annual urine testing for albuminuria after 5 years' duration of type 1 diabetes. We investigated simple screening schedules that optimize early detection and testing frequency. Personalized screening in 2 years for those with current AER ≤10 mg/24 h and HbA1c ≤8%, in 6 months for those with AER 21-30 mg/24 h or HbA1c ≥9%, and in 1 year for all others yielded 34.9% reduction in time with undetected albuminuria and 20.4% fewer evaluations compared with annual screening. A personalized alternative to annual screening in type 1 diabetes can substantially reduce both the time with undetected kidney disease and the frequency of urine testing.
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Affiliation(s)
- Bruce A. Perkins
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Canada
| | - Ionut Bebu
- The Biostatistics Center, The George Washington University, Rockville, MD
| | - Ian H. de Boer
- Division of Nephrology, University of Washington, Seattle, WA
| | - Mark Molitch
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Bernard Zinman
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Canada
| | - John Bantle
- Department of Medicine, University of Minnesota, Minneapolis, MN
| | - Gayle M. Lorenzi
- Department of Medicine, University of California, San Diego, San Diego, CA
| | - David M. Nathan
- Diabetes Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - John M. Lachin
- The Biostatistics Center, The George Washington University, Rockville, MD
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Olson NC, Doyle MF, Buzkova P, Huber SA, de Boer IH, Sitlani CM, Tracy RP, Psaty BM, Mukamal KJ, Delaney JA. Circulating differentiated and senescent lymphocyte subsets and incident diabetes risk in older adults: The Cardiovascular Health Study. Endocrinol Diabetes Metab 2022; 6:e384. [PMID: 36333945 PMCID: PMC9836256 DOI: 10.1002/edm2.384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/28/2022] [Accepted: 10/03/2022] [Indexed: 11/06/2022] Open
Abstract
INTRODUCTION Cellular senescence is a feature of aging implicated in the pathophysiology of diabetes mellitus (DM). Whether senescent lymphocytes are associated with the future occurrence of DM is uncertain. METHODS We used cryopreserved peripheral blood mononuclear cells collected from 1860 Cardiovascular Health Study participants (average age 80.2 years) and flow cytometry immunophenotyping to evaluate the longitudinal relationships of naive (CD45RA+ ), memory (CD45RO+ ), senescent (CD28- ), and T effector memory RA+ (TEMRA) (CD28- CD57+ CD45RA+ ) CD4+ and CD8+ T cells, and memory B cells (CD19+ CD27+ ), with the risk of incident DM. In exploratory analyses we evaluated the relationships of 13 additional innate lymphocyte and CD4+ and CD8+ subsets with incident DM risk. RESULTS Over a median follow-up time of 8.9 years, 155 cases of incident DM occurred. In Cox models adjusted for demographic variables (age, sex, race, study site and flow cytometry analytical batch) or diabetes risk factors (demographic variables plus education, body mass index, smoking status, alcohol use, systolic blood pressure, hypertension medication use and physical activity), no significant associations were observed for any CD4+ , CD8+ or CD19+ cell phenotypes with incident DM. CONCLUSIONS These results suggest the frequencies of naive, memory and senescent T cells and memory B cells are not strongly associated with incident DM risk in older adults.
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Affiliation(s)
- Nels C. Olson
- Department of Pathology and Laboratory Medicine, Larner College of MedicineUniversity of VermontBurlingtonVermontUSA
| | - Margaret F. Doyle
- Department of Pathology and Laboratory Medicine, Larner College of MedicineUniversity of VermontBurlingtonVermontUSA
| | - Petra Buzkova
- Department of BiostatisticsUniversity of Washington School of Public HealthSeattleWashingtonUSA
| | - Sally A. Huber
- Department of Pathology and Laboratory Medicine, Larner College of MedicineUniversity of VermontBurlingtonVermontUSA
| | - Ian H. de Boer
- Division of Nephrology, Department of MedicineUniversity of WashingtonSeattleWashingtonUSA,Kidney Research InstituteUniversity of WashingtonSeattleWashingtonUSA
| | - Colleen M. Sitlani
- Cardiovascular Health Research Unit, Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, Larner College of MedicineUniversity of VermontBurlingtonVermontUSA,Department of Biochemistry, Larner College of MedicineUniversity of VermontBurlingtonVermontUSA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of MedicineUniversity of WashingtonSeattleWashingtonUSA,Departments of Epidemiology, and Health Systems and Population HealthUniversity of WashingtonSeattleWashingtonUSA
| | - Kenneth J. Mukamal
- Department of MedicineBeth Israel Deaconess Medical CenterBostonMassachusettsUSA
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Rossing P, Caramori ML, Chan JC, Heerspink HJ, Hurst C, Khunti K, Liew A, Michos ED, Navaneethan SD, Olowu WA, Sadusky T, Tandon N, Tuttle KR, Wanner C, Wilkens KG, Zoungas S, de Boer IH. KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease. Kidney Int 2022; 102:S1-S127. [PMID: 36272764 DOI: 10.1016/j.kint.2022.06.008] [Citation(s) in RCA: 191] [Impact Index Per Article: 95.5] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 06/21/2022] [Indexed: 02/07/2023]
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41
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Rossing P, Caramori ML, Chan JCN, Heerspink HJL, Hurst C, Khunti K, Liew A, Michos ED, Navaneethan SD, Olowu WA, Sadusky T, Tandon N, Tuttle KR, Wanner C, Wilkens KG, Zoungas S, Craig JC, Tunnicliffe DJ, Tonelli MA, Cheung M, Earley A, de Boer IH. Executive summary of the KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease: an update based on rapidly emerging new evidence. Kidney Int 2022; 102:990-999. [PMID: 36272755 DOI: 10.1016/j.kint.2022.06.013] [Citation(s) in RCA: 71] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 06/28/2022] [Indexed: 12/14/2022]
Abstract
The Kidney Disease: Improving Global Outcomes (KDIGO) 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease (CKD) represents a focused update of the KDIGO 2020 guideline on the topic. The guideline targets a broad audience of clinicians treating people with diabetes and CKD. Topic areas for which recommendations are updated based on new evidence include Chapter 1: Comprehensive care in patients with diabetes and CKD and Chapter 4: Glucose-lowering therapies in patients with type 2 diabetes (T2D) and CKD. The content of previous chapters on Glycemic monitoring and targets in patients with diabetes and CKD (Chapter 2), Lifestyle interventions in patients with diabetes and CKD (Chapter 3), and Approaches to management of patients with diabetes and CKD (Chapter 5) has been deemed current and was not changed. This guideline update was developed according to an explicit process of evidence review and appraisal. Treatment approaches and guideline recommendations are based on systematic reviews of relevant studies and appraisal of the quality of the evidence, and the strength of recommendations followed the "Grading of Recommendations Assessment, Development and Evaluation" (GRADE) approach. Limitations of the evidence are discussed, and areas for which additional research is needed are presented.
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Affiliation(s)
- Peter Rossing
- Steno Diabetes Center Copenhagen, Copenhagen, Denmark; University of Copenhagen, Copenhagen, Denmark.
| | - M Luiza Caramori
- Division of Diabetes, Endocrinology and Metabolism, University of Minnesota, Minneapolis, Minnesota, USA
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, Hong Kong, China; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong, China
| | - Hiddo J L Heerspink
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Adrian Liew
- The Kidney & Transplant Practice, Mount Elizabeth Novena Hospital, Singapore
| | - Erin D Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sankar D Navaneethan
- Section of Nephrology, Department of Medicine, Selzman Institute for Kidney Health, Baylor College of Medicine, Houston, Texas, USA; Section of Nephrology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Wasiu A Olowu
- Pediatric Nephrology and Hypertension Unit, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, State of Osun, Nigeria
| | | | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Katherine R Tuttle
- Division of Nephrology, University of Washington, Spokane, Washington, USA
| | - Christoph Wanner
- Division of Nephrology, University Hospital of Würzburg, Würzburg, Germany
| | - Katy G Wilkens
- Nutrition and Fitness Services, Northwest Kidney Centers, Seattle, Washington, USA
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jonathan C Craig
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia; Cochrane Kidney and Transplant, Sydney, New South Wales, Australia
| | - David J Tunnicliffe
- Cochrane Kidney and Transplant, Sydney, New South Wales, Australia; Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | | | | | | | - Ian H de Boer
- Kidney Research Institute, University of Washington, Seattle, Washington, USA.
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de Boer IH, Khunti K, Sadusky T, Tuttle KR, Neumiller JJ, Rhee CM, Rosas SE, Rossing P, Bakris G. Diabetes management in chronic kidney disease: a consensus report by the American Diabetes Association (ADA) and Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int 2022; 102:974-989. [PMID: 36202661 DOI: 10.1016/j.kint.2022.08.012] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 06/30/2022] [Indexed: 12/14/2022]
Abstract
People with diabetes and chronic kidney disease (CKD) are at high risk for kidney failure, atherosclerotic cardiovascular disease, heart failure, and premature mortality. Recent clinical trials support new approaches to treat diabetes and CKD. The 2022 American Diabetes Association (ADA) Standards of Medical Care in Diabetes and the Kidney Disease: Improving Global Outcomes (KDIGO) 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease each provide evidence-based recommendations for management. A joint group of ADA and KDIGO representatives reviewed and developed a series of consensus statements to guide clinical care from the ADA and KDIGO guidelines. The published guidelines are aligned in the areas of CKD screening and diagnosis, glycemia monitoring, lifestyle therapies, treatment goals, and pharmacologic management. Recommendations include comprehensive care in which pharmacotherapy that is proven to improve kidney and cardiovascular outcomes is layered on a foundation of healthy lifestyle. Consensus statements provide specific guidance on use of renin-angiotensin system inhibitors, metformin, sodium-glucose cotransporter-2 inhibitors, glucagon-like peptide 1 receptor agonists, and a nonsteroidal mineralocorticoid receptor antagonist. These areas of consensus provide clear direction for implementation of care to improve clinical outcomes of people with diabetes and CKD.
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Affiliation(s)
- Ian H de Boer
- Kidney Research Institute, University of Washington, Seattle, Washington, USA.
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Tami Sadusky
- University of Washington, Seattle, Washington, USA
| | | | - Joshua J Neumiller
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
| | - Connie M Rhee
- University of California, Irvine, Orange, California, USA
| | - Sylvia E Rosas
- Joslin Diabetes Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Copenhagen, Demark; University of Copenhagen, Copenhagen, Denmark
| | - George Bakris
- University of Chicago Medicine, Chicago, Illinois, USA
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Andrews M, Yoshida T, Henderson CM, Pflaum H, McGregor A, Lieberman JA, de Boer IH, Vaisar T, Himmelfarb J, Kestenbaum B, Chung JY, Hewitt SM, Santo BA, Ginley B, Sarder P, Rosenberg AZ, Murakami T, Kopp JB, Kuklenyik Z, Hoofnagle AN. Variant APOL1 protein in plasma associates with larger particles in humans and mouse models of kidney injury. PLoS One 2022; 17:e0276649. [PMID: 36279295 PMCID: PMC9591058 DOI: 10.1371/journal.pone.0276649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 10/11/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Genetic variants in apolipoprotein L1 (APOL1), a protein that protects humans from infection with African trypanosomes, explain a substantial proportion of the excess risk of chronic kidney disease affecting individuals with sub-Saharan ancestry. The mechanisms by which risk variants damage kidney cells remain incompletely understood. In preclinical models, APOL1 expressed in podocytes can lead to significant kidney injury. In humans, studies in kidney transplant suggest that the effects of APOL1 variants are predominantly driven by donor genotype. Less attention has been paid to a possible role for circulating APOL1 in kidney injury. METHODS Using liquid chromatography-tandem mass spectrometry, the concentrations of APOL1 were measured in plasma and urine from participants in the Seattle Kidney Study. Asymmetric flow field-flow fractionation was used to evaluate the size of APOL1-containing lipoprotein particles in plasma. Transgenic mice that express wild-type or risk variant APOL1 from an albumin promoter were treated to cause kidney injury and evaluated for renal disease and pathology. RESULTS In human participants, urine concentrations of APOL1 were correlated with plasma concentrations and reduced kidney function. Risk variant APOL1 was enriched in larger particles. In mice, circulating risk variant APOL1-G1 promoted kidney damage and reduced podocyte density without renal expression of APOL1. CONCLUSIONS These results suggest that plasma APOL1 is dynamic and contributes to the progression of kidney disease in humans, which may have implications for treatment of APOL1-associated kidney disease and for kidney transplantation.
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Affiliation(s)
- Michael Andrews
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Teruhiko Yoshida
- Kidney Disease Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Clark M. Henderson
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America
| | - Hannah Pflaum
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America
| | - Ayako McGregor
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America
| | - Joshua A. Lieberman
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America
| | - Ian H. de Boer
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Kidney Research Institute, University of Washington, Seattle, Washington, United States of America
| | - Tomas Vaisar
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Jonathan Himmelfarb
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Kidney Research Institute, University of Washington, Seattle, Washington, United States of America
| | - Bryan Kestenbaum
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Kidney Research Institute, University of Washington, Seattle, Washington, United States of America
| | - Joon-Yong Chung
- Center for Cancer Research, NCI, NIH, Bethesda, Maryland, United States of America
| | - Stephen M. Hewitt
- Center for Cancer Research, NCI, NIH, Bethesda, Maryland, United States of America
| | - Briana A. Santo
- Department of Pathology and Anatomical Sciences, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Brandon Ginley
- Department of Pathology and Anatomical Sciences, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Pinaki Sarder
- Department of Pathology and Anatomical Sciences, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Avi Z. Rosenberg
- Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, Maryland, United States of America
| | - Taichi Murakami
- Kidney Disease Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
- Department of Nephrology, Ehime Prefectural Central Hospital, Ehime, Japan
| | - Jeffrey B. Kopp
- Kidney Disease Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Zsuzsanna Kuklenyik
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Andrew N. Hoofnagle
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Kidney Research Institute, University of Washington, Seattle, Washington, United States of America
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Williams A, Zhao S, Brock G, Kline D, Echouffo-Tcheugui JB, Effoe VS, Bertoni AG, Michos ED, de Boer IH, Kestenbaum B, Golden SH, Joseph JJ. Vitamin D, parathyroid hormone, glucose metabolism and incident diabetes in the multiethnic study of atherosclerosis. BMJ Open Diabetes Res Care 2022; 10:10/5/e002931. [PMID: 36162866 PMCID: PMC9516211 DOI: 10.1136/bmjdrc-2022-002931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 09/11/2022] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Higher concentrations of serum 25-hydroxyvitamin D (25(OH)D) and lower concentrations of parathyroid hormone (PTH) are associated with lower insulin resistance and incident diabetes in non-Hispanic White and Hispanic Americans. Results are mixed in other populations, with no observational studies in a large multiethnic cohort. The association of serum 25(OH)D with diabetes may vary by adiposity level. RESEARCH DESIGN AND METHODS Among 5611 participants in the Multi-Ethnic Study of Atherosclerosis without diabetes at baseline, cross-sectional associations of serum 25(OH)D with homeostasis model assessment of insulin resistance (HOMA-IR) and HOMA-β were examined using linear regressions. The association of 25(OH)D with incident diabetes over 9 years was examined using Cox proportional hazard regression. RESULTS Black Americans had the highest proportion of individuals with 25(OH)D<20 ng/mL (61%) and White Americans had the least (17%). Serum 25(OH)D was inversely associated with HOMA-IR in fully adjusted models (-0.34% difference in HOMA-IR per ng/mL higher 25(OH)D, p<0.0001). Longitudinally, a 1 ng/mL higher serum 25(OH)D was associated with 2% lower risk of incident diabetes (HR 0.982, CI 0.974 to 0.991), and a 1 pg/mL higher serum PTH was associated with 1% higher risk of incident diabetes (HR 1.007, CI 1.004 to 1.010), both prior to adjustment for waist circumference. After adjusting for waist circumference, a 1 ng/mL higher 25(OH)D was associated with 1% lower risk of incident diabetes (HR 0.991, CI 0.983 to 1.000). The magnitude of association of serum 25(OH)D with incident diabetes was largest at lower waist circumference (p for interaction=0.025). There was no heterogeneity by race/ethnicity (p=0.317). CONCLUSIONS Serum 25(OH)D is inversely associated with insulin resistance and incident diabetes in a diverse cohort, including non-Hispanic White, Black, Hispanic and Chinese Americans. Future research should explore mechanisms for the interaction between serum 25(OH)D and adiposity in this relationship.
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Affiliation(s)
- Amaris Williams
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Songzhu Zhao
- Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Guy Brock
- Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - David Kline
- Department of Biostatistics and Data Science, DIvision of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | | | - Valery S Effoe
- Division of Cardiology, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - Alain G Bertoni
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Erin D Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ian H de Boer
- Division of Nephrology, University of Washington, Seattle, Washington, USA
| | - Bryan Kestenbaum
- Division of Nephrology, University of Washington, Seattle, Washington, USA
| | - Sherita H Golden
- Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Joshua J Joseph
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
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Laster ML, Rowan B, Chen HC, Schwantes-An TH, Sheng X, Friedman PA, Ikizler TA, Sinshiemer JS, Ix JH, Susztak K, de Boer IH, Kestenbaum B, Hung A, Moe SM, Perwad F, Robinson-Cohen C. Genetic Variants Associated With Mineral Metabolism Traits in Chronic Kidney Disease. J Clin Endocrinol Metab 2022; 107:e3866-e3876. [PMID: 35587600 PMCID: PMC9387704 DOI: 10.1210/clinem/dgac318] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Indexed: 02/01/2023]
Abstract
CONTEXT Chronic kidney disease (CKD) causes multiple interrelated disturbances in mineral metabolism. Genetic studies in the general population have identified common genetic variants associated with circulating phosphate, calcium, parathyroid hormone (PTH), and fibroblast growth factor 23 (FGF23). OBJECTIVE In this study we aimed to discover genetic variants associated with circulating mineral markers in CKD. METHODS We conducted candidate single-nucleotide variation (SNV) analysis in 3027 participants in the multiethnic Chronic Renal Insufficiency Cohort (CRIC) to determine the associations between SNVs and circulating levels of mineral markers. RESULTS SNVs adjacent to or within genes encoding the regulator of G protein-coupled signaling 14 (RGS14) and the calcium-sensing receptor (CASR) were associated with levels of mineral metabolites. The strongest associations (P < .001) were at rs4074995 (RGS14) for phosphate (0.09 mg/dL lower per minor allele) and FGF23 (8.6% lower), and at rs1801725 (CASR) for calcium (0.12 mg/dL higher). In addition, the prevalence of hyperparathyroidism differed by rs4074995 (RGS14) genotype (chi-square P < .0001). Differential inheritance by race was noted for the minor allele of RGS14. Expression quantitative loci (eQTL) analysis showed that rs4074995 was associated with lower RGS14 gene expression in glomeruli (P = 1.03 × 10-11) and tubules (P = 4.0 × 10-4). CONCLUSION We evaluated genetic variants associated with mineral metabolism markers in a CKD population. Participants with CKD and the minor allele of rs4074995 (RGS14) had lower phosphorus, lower plasma FGF23, and lower prevalence of hyperparathyroidism. The minor allele of RGS14 was also associated with lower gene expression in the kidney. Further studies are needed to elucidate the effect of rs4074995 on the pathogenesis of disordered mineral metabolism in CKD.
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Affiliation(s)
- Marciana L Laster
- Correspondence: Marciana L. Laster, MD, UCLA Department of Pediatrics, Division of Pediatric Nephrology, 10833 Le Conte Ave, MDCC A2-383, Los Angeles, CA 90095-1752, USA.
| | - Bryce Rowan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
| | - Hua-Chang Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
| | - Tae-Hwi Schwantes-An
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
| | - Xin Sheng
- Department of Medicine and Genetics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Peter A Friedman
- Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213, USA
| | - T Alp Ikizler
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt O’Brien Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
| | - Janet S Sinshiemer
- Department of Human Genetics and Computational Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California 90095-1752, USA
- Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, California 90095-1752, USA
| | - Joachim H Ix
- Department of Medicine, University of California, San Diego, San Diego, California 92161, USA
| | - Katalin Susztak
- Department of Medicine and Genetics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Ian H de Boer
- Department of Medicine, University of Washington, Seattle, Washington 98195-6420, USA
| | - Bryan Kestenbaum
- Kidney Research Institute, University of Washington, Seattle, Washington 98195-6420, USA
| | - Adriana Hung
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sharon M Moe
- Clinical Translational Sciences Institute, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
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Butler CR, Appelbaum PS, Ascani H, Aulisio M, Campbell CE, de Boer IH, Dighe AL, Hall DE, Himmelfarb J, Knight R, Mehl K, Murugan R, Rosas SE, Sedor JR, O'Toole JF, Tuttle KR, Waikar SS, Freeman M. A Participant-Centered Approach to Understanding Risks and Benefits of Participation in Research Informed by the Kidney Precision Medicine Project. Am J Kidney Dis 2022; 80:132-138. [PMID: 34871700 PMCID: PMC9166631 DOI: 10.1053/j.ajkd.2021.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/12/2021] [Indexed: 11/11/2022]
Abstract
An understanding of the ethical underpinnings of human subjects research that involves some risk to participants without anticipated direct clinical benefit-such as the kidney biopsy procedure as part of the Kidney Precision Medicine Project (KPMP)-requires a critical examination of the risks as well as the diverse set of countervailing potential benefits to participants. This kind of deliberation has been foundational to the development and conduct of the KPMP. Herein, we use illustrative features of this research paradigm to develop a more comprehensive conceptualization of the types of benefits that may be important to research participants, including respecting pluralistic values, supporting the opportunity to act altruistically, and enhancing benefits to a participant's community. This approach may serve as a model to help researchers, ethicists, and regulators to identify opportunities to better respect and support participants in future research that entails some risk to these participants as well as to improve the quality of research for people with kidney disease.
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Affiliation(s)
- Catherine R Butler
- Division of Nephrology, Department of Medicine and the Kidney Research Institute, University of Washington, Seattle, Washington; Seattle-Denver Health Services Research and Development Center of Innovation, Veterans Affairs Puget Sound Health Care System, Seattle, Washington.
| | - Paul S Appelbaum
- Department of Psychiatry, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York; New York State Psychiatric Institute, New York, New York
| | - Heather Ascani
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Mark Aulisio
- Department of Bioethics, School of Medicine, Case Western Reserve University, Cleveland, Ohio; Center for Biomedical Ethics, MetroHealth System, Cleveland, Ohio
| | - Catherine E Campbell
- Kidney Precision Medicine Project Patient Partner, American Association of Kidney Patients, Tampa, Florida; Sigma Theta Tau International Honor Society, Case Management Society of America, AARP Volunteer Nursing Leadership Board
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine and the Kidney Research Institute, University of Washington, Seattle, Washington
| | - Ashveena L Dighe
- Division of Nephrology, Department of Medicine and the Kidney Research Institute, University of Washington, Seattle, Washington
| | - Daniel E Hall
- Department of Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Anesthesiology and Perioperative Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; Wolff Center at UPMC, Pittsburgh, Pennsylvania; Center for Health Equity Research and Promotion and Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Jonathan Himmelfarb
- Division of Nephrology, Department of Medicine and the Kidney Research Institute, University of Washington, Seattle, Washington
| | - Richard Knight
- Kidney Precision Medicine Project Patient Partner, American Association of Kidney Patients, Tampa, Florida; American Association of Kidney Patients, Pittsburgh, Pennsylvania
| | - Karla Mehl
- Division of Nephrology, Irving Medical Center, Columbia University, New York, New York
| | - Raghavan Murugan
- Center for Critical Care Nephrology, Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Sylvia E Rosas
- Kidney and Hypertension Unit, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts
| | - John R Sedor
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio; Department of Nephrology and Hypertension, Glickman Urological and Kidney and Lerner Research Institutes, Cleveland Clinic Foundation, Cleveland, Ohio
| | - John F O'Toole
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio; Department of Nephrology and Hypertension, Glickman Urological and Kidney and Lerner Research Institutes, Cleveland Clinic Foundation, Cleveland, Ohio
| | - Katherine R Tuttle
- Division of Nephrology, Department of Medicine and the Kidney Research Institute, University of Washington, Seattle, Washington
| | - Sushrut S Waikar
- Section of Nephrology, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts; Renal Division, Brigham & Women's Hospital, Boston, Massachusetts
| | - Michael Freeman
- Division of Pediatric Nephrology and Hypertension, Department of Pediatrics and Humanities, Penn State College of Medicine, Hershey, Pennsylvania
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Schwartz AV, Backlund JYC, de Boer IH, Rubin MR, Barnie A, Farrell K, Trapani VR, Gregory NS, Wallia A, Bebu I, Lachin JM, Braffett BH, Gubitosi-Klug R. Risk factors for lower bone mineral density in older adults with type 1 diabetes: a cross-sectional study. Lancet Diabetes Endocrinol 2022; 10:509-518. [PMID: 35576955 DOI: 10.1016/s2213-8587(22)00103-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 03/15/2022] [Accepted: 03/18/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND Type 1 diabetes is associated with lower bone mineral density (BMD) and increased fracture risk, but little is known regarding the effects of diabetes-related factors on BMD. We assessed whether these factors are associated with lower hip BMD among older adults with type 1 diabetes. METHODS This cross-sectional study was embedded in a long-term observational study, the Epidemiology of Diabetes Interventions and Complications study (EDIC), a cohort of participants with type 1 diabetes, who were originally enrolled in the Diabetes Control and Complications Trial (DCCT), and were followed-up for more than 30 years at 27 sites in the USA and Canada. All active EDIC participants were eligible except if they were pregnant, weighed above the dual-energy x-ray absorptiometry (DXA) scanner limit, had an implanted neurostimulator, or were not willing to participate. The primary study outcome was total hip BMD. Hip, spine, and radius BMD and trabecular bone score (TBS) were measured with DXA at an annual EDIC visit (2017-19). Time-weighted mean HbA1c, kidney disease, and peripheral neuropathy were measured annually during EDIC, and retinopathy was measured every 4 years. Skin intrinsic fluorescence, a measure of advanced glycation end products (AGEs), and cardiac autonomic neuropathy were assessed once (2009-10) during EDIC. FINDINGS 1147 of the 1441 participants who were enrolled in the DCCT trial remained active EDIC participants at the start of this cross-sectional study. Between Sept 20, 2017, and Sept 19, 2019, 1094 of 1147 participants were screened for the EDIC Skeletal Health study. 1058 participants completed at least one of a set of DXA scans and were included in the analysis. 47·8% were women and 52·2% were men, 96·6% were White and 3·4% were of other race or ethnicity. The mean age of participants was 59·2 years (SD 6·7). Higher mean HbA1c, higher skin intrinsic fluorescence, and kidney disease (but not retinopathy or neuropathy) were independently associated with a lower total hip BMD. Total hip BMD differed by -10·7 mg/cm2 (95% CI -19·6 to -1·7) for each 1% increase in mean HbA1c, -20·5 mg/cm2 (-29·9 to -11·0) for each 5 unit higher skin intrinsic fluorescence, and -51·7 mg/cm2 (-80·6 to -22·7) in the presence of kidney disease. Similar associations were found for femoral neck and ultra-distal radius BMD, but not for lumbar spine BMD or TBS. INTERPRETATION Poorer glycaemic control, AGE accumulation, and kidney disease are independent risk factors for lower hip BMD in older adults with type 1 diabetes. Maintenance of glycaemic control and prevention of kidney disease might reduce bone loss and ultimately fractures in this population. Osteoporosis screening might be particularly important in people with these risk factors. Further research to identify AGE blockers could benefit skeletal health. FUNDING National Institute of Diabetes and Digestive and Kidney Disease.
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Affiliation(s)
- Ann V Schwartz
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
| | - Jye-Yu C Backlund
- The Biostatistics Center, George Washington University, Rockville, MD, USA
| | - Ian H de Boer
- Department of Medicine, University of Washington, Seattle, WA, USA
| | | | | | - Kaleigh Farrell
- Case Western Reserve University/Rainbow Babies and Children's Hospital, Cleveland, OH, USA
| | - Victoria R Trapani
- The Biostatistics Center, George Washington University, Rockville, MD, USA
| | | | | | - Ionut Bebu
- The Biostatistics Center, George Washington University, Rockville, MD, USA
| | - John M Lachin
- The Biostatistics Center, George Washington University, Rockville, MD, USA
| | - Barbara H Braffett
- The Biostatistics Center, George Washington University, Rockville, MD, USA
| | - Rose Gubitosi-Klug
- Case Western Reserve University/Rainbow Babies and Children's Hospital, Cleveland, OH, USA
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Hansen J, Sealfon R, Menon R, Eadon MT, Lake BB, Steck B, Anjani K, Parikh S, Sigdel TK, Zhang G, Velickovic D, Barwinska D, Alexandrov T, Dobi D, Rashmi P, Otto EA, Rivera M, Rose MP, Anderton CR, Shapiro JP, Pamreddy A, Winfree S, Xiong Y, He Y, de Boer IH, Hodgin JB, Barisoni L, Naik AS, Sharma K, Sarwal MM, Zhang K, Himmelfarb J, Rovin B, El-Achkar TM, Laszik Z, He JC, Dagher PC, Valerius MT, Jain S, Satlin LM, Troyanskaya OG, Kretzler M, Iyengar R, Azeloglu EU. A reference tissue atlas for the human kidney. Sci Adv 2022; 8:eabn4965. [PMID: 35675394 PMCID: PMC9176741 DOI: 10.1126/sciadv.abn4965] [Citation(s) in RCA: 52] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 04/20/2022] [Indexed: 05/08/2023]
Abstract
Kidney Precision Medicine Project (KPMP) is building a spatially specified human kidney tissue atlas in health and disease with single-cell resolution. Here, we describe the construction of an integrated reference map of cells, pathways, and genes using unaffected regions of nephrectomy tissues and undiseased human biopsies from 56 adult subjects. We use single-cell/nucleus transcriptomics, subsegmental laser microdissection transcriptomics and proteomics, near-single-cell proteomics, 3D and CODEX imaging, and spatial metabolomics to hierarchically identify genes, pathways, and cells. Integrated data from these different technologies coherently identify cell types/subtypes within different nephron segments and the interstitium. These profiles describe cell-level functional organization of the kidney following its physiological functions and link cell subtypes to genes, proteins, metabolites, and pathways. They further show that messenger RNA levels along the nephron are congruent with the subsegmental physiological activity. This reference atlas provides a framework for the classification of kidney disease when multiple molecular mechanisms underlie convergent clinical phenotypes.
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Affiliation(s)
- Jens Hansen
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rachel Sealfon
- Princeton University, Princeton, NJ, USA
- Flatiron Institute, New York, NY, USA
| | - Rajasree Menon
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | | | - Blue B. Lake
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Becky Steck
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Kavya Anjani
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Samir Parikh
- Ohio State University College of Medicine, Columbus, OH, USA
| | - Tara K. Sigdel
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Guanshi Zhang
- University of Texas–Health San Antonio School of Medicine, San Antonio, TX, USA
| | | | - Daria Barwinska
- Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Dejan Dobi
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Priyanka Rashmi
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Edgar A. Otto
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Miguel Rivera
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Michael P. Rose
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Christopher R. Anderton
- University of Texas–Health San Antonio School of Medicine, San Antonio, TX, USA
- Pacific Northwest National Laboratory, Richland, WA, USA
| | - John P. Shapiro
- Ohio State University College of Medicine, Columbus, OH, USA
| | - Annapurna Pamreddy
- University of Texas–Health San Antonio School of Medicine, San Antonio, TX, USA
| | - Seth Winfree
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Yuguang Xiong
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yongqun He
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Ian H. de Boer
- Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA
| | | | | | - Abhijit S. Naik
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Kumar Sharma
- University of Texas–Health San Antonio School of Medicine, San Antonio, TX, USA
| | - Minnie M. Sarwal
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Kun Zhang
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Jonathan Himmelfarb
- Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA
| | - Brad Rovin
- Ohio State University College of Medicine, Columbus, OH, USA
| | | | - Zoltan Laszik
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | | | | | - M. Todd Valerius
- Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Sanjay Jain
- Washington University in Saint Louis School of Medicine, St. Louis, MS, USA
| | - Lisa M. Satlin
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Olga G. Troyanskaya
- Princeton University, Princeton, NJ, USA
- Flatiron Institute, New York, NY, USA
| | | | - Ravi Iyengar
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Kidney Precision Medicine Project
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Princeton University, Princeton, NJ, USA
- Flatiron Institute, New York, NY, USA
- University of Michigan School of Medicine, Ann Arbor, MI, USA
- Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- University of California San Francisco School of Medicine, San Francisco, CA, USA
- Ohio State University College of Medicine, Columbus, OH, USA
- University of Texas–Health San Antonio School of Medicine, San Antonio, TX, USA
- Pacific Northwest National Laboratory, Richland, WA, USA
- European Molecular Biology Laboratory, Heidelberg, Germany
- Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA
- Duke University School of Medicine, Durham, NC, USA
- Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA, USA
- Washington University in Saint Louis School of Medicine, St. Louis, MS, USA
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49
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Limonte CP, Valo E, Drel V, Natarajan L, Darshi M, Forsblom C, Henderson CM, Hoofnagle AN, Ju W, Kretzler M, Montemayor D, Nair V, Nelson RG, O’Toole JF, Toto RD, Rosas SE, Ruzinski J, Sandholm N, Schmidt IM, Vaisar T, Waikar SS, Zhang J, Rossing P, Ahluwalia TS, Groop PH, Pennathur S, Snell-Bergeon JK, Costacou T, Orchard TJ, Sharma K, de Boer IH. Urinary Proteomics Identifies Cathepsin D as a Biomarker of Rapid eGFR Decline in Type 1 Diabetes. Diabetes Care 2022; 45:1416-1427. [PMID: 35377940 PMCID: PMC9210873 DOI: 10.2337/dc21-2204] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 03/04/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Understanding mechanisms underlying rapid estimated glomerular filtration rate (eGFR) decline is important to predict and treat kidney disease in type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS We performed a case-control study nested within four T1D cohorts to identify urinary proteins associated with rapid eGFR decline. Case and control subjects were categorized based on eGFR decline ≥3 and <1 mL/min/1.73 m2/year, respectively. We used targeted liquid chromatography-tandem mass spectrometry to measure 38 peptides from 20 proteins implicated in diabetic kidney disease. Significant proteins were investigated in complementary human cohorts and in mouse proximal tubular epithelial cell cultures. RESULTS The cohort study included 1,270 participants followed a median 8 years. In the discovery set, only cathepsin D peptide and protein were significant on full adjustment for clinical and laboratory variables. In the validation set, associations of cathepsin D with eGFR decline were replicated in minimally adjusted models but lost significance with adjustment for albuminuria. In a meta-analysis with combination of discovery and validation sets, the odds ratio for the association of cathepsin D with rapid eGFR decline was 1.29 per SD (95% CI 1.07-1.55). In complementary human cohorts, urine cathepsin D was associated with tubulointerstitial injury and tubulointerstitial cathepsin D expression was associated with increased cortical interstitial fractional volume. In mouse proximal tubular epithelial cell cultures, advanced glycation end product-BSA increased cathepsin D activity and inflammatory and tubular injury markers, which were further increased with cathepsin D siRNA. CONCLUSIONS Urine cathepsin D is associated with rapid eGFR decline in T1D and reflects kidney tubulointerstitial injury.
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Affiliation(s)
- Christine P. Limonte
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
- Kidney Research Institute, University of Washington, Seattle, WA
| | - Erkka Valo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Viktor Drel
- Division of Nephrology, The University of Texas Health Science Center at San Antonio, San Antonio, TX
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Loki Natarajan
- Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health and Moores Cancer Center at UC San Diego Health, La Jolla, CA
| | - Manjula Darshi
- Division of Nephrology, The University of Texas Health Science Center at San Antonio, San Antonio, TX
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Carol Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Clark M. Henderson
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
| | - Andrew N. Hoofnagle
- Kidney Research Institute, University of Washington, Seattle, WA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
- Division of Metabolism, Endocrinology, and Nutrition, UW Medicine Diabetes Institute, University of Washington, Seattle, WA
| | - Wenjun Ju
- Division of Nephrology, University of Michigan, Ann Arbor, MI
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI
| | - Matthias Kretzler
- Division of Nephrology, University of Michigan, Ann Arbor, MI
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI
| | - Daniel Montemayor
- Division of Nephrology, The University of Texas Health Science Center at San Antonio, San Antonio, TX
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Viji Nair
- Division of Nephrology, University of Michigan, Ann Arbor, MI
| | - Robert G. Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - John F. O’Toole
- Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, OH
| | - Robert D. Toto
- Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX
| | | | - John Ruzinski
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
- Kidney Research Institute, University of Washington, Seattle, WA
| | - Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Insa M. Schmidt
- Section of Nephrology, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA
| | - Tomas Vaisar
- Division of Metabolism, Endocrinology, and Nutrition, UW Medicine Diabetes Institute, University of Washington, Seattle, WA
| | - Sushrut S. Waikar
- Section of Nephrology, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA
| | - Jing Zhang
- Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health and Moores Cancer Center at UC San Diego Health, La Jolla, CA
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tarunveer S. Ahluwalia
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Bioinformatics Center, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI
| | - Janet K. Snell-Bergeon
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | | | - Kumar Sharma
- Division of Nephrology, The University of Texas Health Science Center at San Antonio, San Antonio, TX
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Ian H. de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
- Kidney Research Institute, University of Washington, Seattle, WA
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50
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Limonte CP, Hall YN, Trikudanathan S, Tuttle KR, Hirsch IB, de Boer IH, Zelnick LR. Prevalence of SGLT2i and GLP1RA use among US adults with type 2 diabetes. J Diabetes Complications 2022; 36:108204. [PMID: 35537891 DOI: 10.1016/j.jdiacomp.2022.108204] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 04/20/2022] [Accepted: 04/21/2022] [Indexed: 11/26/2022]
Abstract
AIMS To determine national prevalence of sodium-glucose contransporter-2 inhibitor (SGLT2i) and glucagon-like peptide-1 receptor agonist (GLP1RA) use among adults with type 2 diabetes mellitus (T2DM). METHODS We studied adults with T2DM and eGFR ≥ 30 mL/min/1.73 m2 who participated in the cross-sectional National Health and Nutrition Examination Survey (NHANES), focusing on the 2017-2020 examination cycle, a key time period prior to widespread dissemination of pivotal trial results and corresponding clinical practice guidelines. We tested prevalence of SGLT2i and GLP1RA use among subgroups based on demographic variables and relevant comorbidities, including chronic kidney disease (CKD), congestive heart failure (CHF), and atherosclerotic cardiovascular disease (ASCVD). We compared use of SGLT2i and GLP1RA to other glucose-lowering medications and assessed trends from prior NHANES cycles. RESULTS Among 1375 participants studied in 2017-2020, mean age was 60 years, 46% were women, 13% self-identified as non-Hispanic Black, 10% self-identified as Mexican American, 37% had CKD, 8.5% had CHF, and 23% had ASCVD. The prevalence of SGLT2i and GLP1RA use was 5.8% and 4.4%, respectively. Among adults with CKD, CHF, or ASCVD, SGLT2i were used by 7.7% and GLP1RA were used by 3.5%. Differences in SGLT2i or GLP1RA use were observed by age, race, ethnicity, health insurance status, body mass index, and by whether a single healthcare provider was identified as responsible for diabetes management. Biguanides, sulfonylureas, DPP-4 inhibitors, and insulin were used more frequently than SGLT2i or GLP1RA. Prevalence of SGLT2i but not GLP1RA use increased significantly from 2013-2014 to 2017-2020. CONCLUSIONS SGLT2i and GLP1RA use is low among adults with T2DM, including among those with strong indications. Enhanced implementation of these agents is crucial to improving kidney and cardiovascular outcomes and mitigating health disparities in T2DM.
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Affiliation(s)
- Christine P Limonte
- Kidney Research Institute and Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Yoshio N Hall
- Kidney Research Institute and Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Subbulaxmi Trikudanathan
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Katherine R Tuttle
- Providence Health Care, Spokane, WA, United States of America; Kidney Research Institute, Division of Nephrology and Institute of Translational Health Sciences, University of Washington School of Medicine, Seattle, WA, United States of America
| | - Irl B Hirsch
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, WA, United States of America
| | - Ian H de Boer
- Kidney Research Institute and Division of Nephrology, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, United States of America
| | - Leila R Zelnick
- Kidney Research Institute and Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, United States of America.
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