1. Adipose tissue morphology, imaging and metabolomics predicting cardiometabolic risk and family history of type 2 diabetes in non-obese men.
- Author
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Rawshani A, Eliasson B, Rawshani A, Henninger J, Mardinoglu A, Carlsson Å, Sohlin M, Ljungberg M, Hammarstedt A, Rosengren A, and Smith U
- Subjects
- Adipocytes metabolism, Adult, Blood Glucose metabolism, Body Composition physiology, Body Fat Distribution methods, Heart physiology, Humans, Insulin metabolism, Insulin Resistance physiology, Intra-Abdominal Fat metabolism, Lipid Metabolism physiology, Liver metabolism, Male, Metabolomics methods, Obesity metabolism, Subcutaneous Fat metabolism, Adipose Tissue metabolism, Cardiovascular Diseases metabolism, Diabetes Mellitus, Type 2 metabolism
- Abstract
We evaluated the importance of body composition, amount of subcutaneous and visceral fat, liver and heart ectopic fat, adipose tissue distribution and cell size as predictors of cardio-metabolic risk in 53 non-obese male individuals. Known family history of type 2 diabetes was identified in 25 individuals. The participants also underwent extensive phenotyping together with measuring different biomarkers and non-targeted serum metabolomics. We used ensemble learning and other machine learning approaches to identify predictors with considerable relative importance and their intricate interactions. Visceral fat and age were strong individual predictors of ectopic fat accumulation in liver and heart along with markers of lipid oxidation and reduced glucose tolerance. Subcutaneous adipose cell size was the strongest individual predictor of whole-body insulin sensitivity and also a marker of visceral and ectopic fat accumulation. The metabolite 3-MOB along with related branched-chain amino acids demonstrated strong predictability for family history of type 2 diabetes.
- Published
- 2020
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