Gender-Dependent Associations of Metabolite Profiles and Body Fat Distribution in a Healthy Population with Central Obesity: Towards Metabolomics Diagnostics

摘要: Obesity is a risk factor for cardiovascular diseases and type 2 diabetes especially when the fat accumulated to central depots. Novel biomarkers are crucial develop diagnostics obesity related metabolic disorders. We evaluated associations between metabolite profiles (136 lipid components, 12 lipoprotein subclasses, 17 low-molecular-weight metabolites, clinical markers) 28 phenotype parameters (including different body distribution such as android (A), gynoid (G), abdominal visceral (VAT), subcutaneous (SAT) fat) in 215 plasma/serum samples from healthy overweight men (n=32) women (n=83) with obesity. (Partial) correlation analysis partial least squares (PLS) regression showed that only specific metabolites were associated A:G ratio, VAT, SAT, respectively. These association patterns gender dependent. For example, insulin, cholesterol, VLDL, certain triacylglycerols (TG 54:1-3) correlated VAT women, while was TG 50:1-5, 55:1, phosphatidylcholine (PC 32:0), VLDL ((X)L). Moreover, multiple revealed waist circumference total sufficient predict SAT women. In contrast, but not could be predicted plasma included, PC 32:0 being most strongly VAT. findings collectively highlight potential of metabolomics differences need taken into account novel biomarker diagnostic discovery