ArticleInternational journal of obesity (2005)2024
Adipose tissue-derived metabolite risk scores and risk for type 2 diabetes in South Asians.
Article in International journal of obesity (2005), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Biopsychosocial risk factors for Alzheimer's disease and related dementias in UK immigrants from the Middle East and North Africa (MENA).medRxiv : the preprint server for health sciences · 2026Article
- Coronary Artery Disease in People Living with HIV May Reflect Their Sensitivity to Inflammation Associated with Cytomegalovirus.Pathogens (Basel, Switzerland) · 2025Article
- A Scoring Model Using Multi-Metabolites Based on Untargeted Metabolomics for Assessing Dyslipidemia in Korean Individuals with Obesity.Metabolites · 2025Article
- Glucose sensing and homeostasis by adipocyte GPCR.Frontiers in endocrinology · 2025Review
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundSouth Asians are at higher risk for type 2 diabetes (T2D) than many other race/ethnic groups. Ectopic adiposity, specifically hepatic steatosis and visceral fat may partially explain this. Our objective was to derive metabolite risk scores for ectopic adiposity and assess associations with incident T2D in South Asians.
methodsWe examined 550 participants in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) cohort study aged 40-84 years without known cardiovascular disease or T2D and with metabolomic data. Computed tomography scans at baseline assessed hepatic attenuation and visceral fat area, and fasting serum specimens at baseline and after 5 years assessed T2D. LC-MS-based untargeted metabolomic analysis was performed followed by targeted integration and reporting of known signals. Elastic net regularized linear regression analyses was used to derive risk scores for hepatic steatosis and visceral fat using weighted coefficients. Logistic regression models associated metabolite risk score and incident T2D, adjusting for age, gender, study site, BMI, physical activity, diet quality, energy intake and use of cholesterol-lowering medication.
resultsAverage age of participants was 55 years, 36% women with an average body mass index (BMI) of 25 kg/m
conclusionsMetabolite risk scores for intrahepatic fat and visceral fat were strongly related to incident T2D independent of measured adiposity. Use of these biomarkers to target risk stratification may help capture pre-clinical metabolic abnormalities.
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