Venkatesh L. Murthy, Paolo Piaggi, Phillip Lin, Shilin Zhao, Lindsey K. Stolze, Andrew S. Perry, Robert L. Hanson, John Jeffrey Carr, James G. Terry, Leslie J. Baier, Clifton Bogardus, Clary Clish, Eric R. Gamazon, Jonathan Krakoff, Ravi V. Shah
{"title":"Human Physiologic Responses to Insulin in Indigenous Americans Identify a Metabolic Susceptibility Profile Linked to Diabetes","authors":"Venkatesh L. Murthy, Paolo Piaggi, Phillip Lin, Shilin Zhao, Lindsey K. Stolze, Andrew S. Perry, Robert L. Hanson, John Jeffrey Carr, James G. Terry, Leslie J. Baier, Clifton Bogardus, Clary Clish, Eric R. Gamazon, Jonathan Krakoff, Ravi V. Shah","doi":"10.2337/dc25-0151","DOIUrl":null,"url":null,"abstract":"OBJECTIVE To identify metabolic signatures of insulin action/secretion in Indigenous Americans (IAs) and their association with diabetes. RESEARCH DESIGN AND METHODS We defined circulating metabolomic signatures of insulin action/secretion in 446 IAs, including glucose disposal rate during low-dose insulin clamp (Mlow) and endogenous glucose production (EGP) during insulin infusion (suppression of hepatic glucose production). We then determined associations of these metabolic scores with glucose tolerance (in a separate set of ∼700 IAs) and diabetes/metabolic risk in ∼2,000 individuals (from Coronary Artery Risk Development in Young Adults [CARDIA] study). We used tissue-specific gene–metabolite mapping to pinpoint genetic pathways of type 2 diabetes (T2D) implicated by metabolomic signatures. RESULTS In young IAs (mean age 29 years; mean BMI 34.9 kg/m2) without diabetes, phenotype–metabolome associations across multiple insulin action phenotypes were linked to mechanisms of fatty acid and amino acid metabolism and inflammation (among others). Metabolite-based scores of insulin action were strongly related to incident diabetes in our discovery IA population (Mlow; 49 metabolites; standardized hazard ratio [HR] 0.49; 95% CI 0.35–0.69; P < 0.0001) and also associated with measures of insulin resistance in a distinct IA population (|ρ| ∼0.3–0.5 correlation) and in the CARDIA group (median age 33 years). At ∼20 years of follow-up in CARDIA, we observed a strong BMI- and glucose-independent association of the metabolite profile of Mlow (HR 0.65; 95% CI 0.56–0.74; P < 0.0001) and EGP suppression (HR 0.66; 95% CI 0.57–0.76; P < 0.0001) with incident diabetes, directionally opposed to BMI and glucose. Genes implicated by the metabolomic signatures were strongly linked to T2D. CONCLUSIONS Metabolic signatures of clamp-determined insulin action are strongly associated with incident diabetes, suggesting causal–functional pathways of T2D.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"55 1","pages":""},"PeriodicalIF":14.8000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2337/dc25-0151","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
OBJECTIVE To identify metabolic signatures of insulin action/secretion in Indigenous Americans (IAs) and their association with diabetes. RESEARCH DESIGN AND METHODS We defined circulating metabolomic signatures of insulin action/secretion in 446 IAs, including glucose disposal rate during low-dose insulin clamp (Mlow) and endogenous glucose production (EGP) during insulin infusion (suppression of hepatic glucose production). We then determined associations of these metabolic scores with glucose tolerance (in a separate set of ∼700 IAs) and diabetes/metabolic risk in ∼2,000 individuals (from Coronary Artery Risk Development in Young Adults [CARDIA] study). We used tissue-specific gene–metabolite mapping to pinpoint genetic pathways of type 2 diabetes (T2D) implicated by metabolomic signatures. RESULTS In young IAs (mean age 29 years; mean BMI 34.9 kg/m2) without diabetes, phenotype–metabolome associations across multiple insulin action phenotypes were linked to mechanisms of fatty acid and amino acid metabolism and inflammation (among others). Metabolite-based scores of insulin action were strongly related to incident diabetes in our discovery IA population (Mlow; 49 metabolites; standardized hazard ratio [HR] 0.49; 95% CI 0.35–0.69; P < 0.0001) and also associated with measures of insulin resistance in a distinct IA population (|ρ| ∼0.3–0.5 correlation) and in the CARDIA group (median age 33 years). At ∼20 years of follow-up in CARDIA, we observed a strong BMI- and glucose-independent association of the metabolite profile of Mlow (HR 0.65; 95% CI 0.56–0.74; P < 0.0001) and EGP suppression (HR 0.66; 95% CI 0.57–0.76; P < 0.0001) with incident diabetes, directionally opposed to BMI and glucose. Genes implicated by the metabolomic signatures were strongly linked to T2D. CONCLUSIONS Metabolic signatures of clamp-determined insulin action are strongly associated with incident diabetes, suggesting causal–functional pathways of T2D.
期刊介绍:
The journal's overarching mission can be captured by the simple word "Care," reflecting its commitment to enhancing patient well-being. Diabetes Care aims to support better patient care by addressing the comprehensive needs of healthcare professionals dedicated to managing diabetes.
Diabetes Care serves as a valuable resource for healthcare practitioners, aiming to advance knowledge, foster research, and improve diabetes management. The journal publishes original research across various categories, including Clinical Care, Education, Nutrition, Psychosocial Research, Epidemiology, Health Services Research, Emerging Treatments and Technologies, Pathophysiology, Complications, and Cardiovascular and Metabolic Risk. Additionally, Diabetes Care features ADA statements, consensus reports, review articles, letters to the editor, and health/medical news, appealing to a diverse audience of physicians, researchers, psychologists, educators, and other healthcare professionals.