Metabolomic signatures for visceral adiposity and dysglycaemia in Asian Chinese and Caucasian European adults: the cross-sectional TOFI_Asia study
作者:Zhanxuan E. Wu, Karl Fraser, Marlena C. Kruger, Ivana R. Sequeira, Wilson Yip, Louise Weiwei Lu, Lindsay D. Plank, Rinki Murphy, Garth J. S. Cooper, Jean‐Charles Martin, Sally D. Poppitt · 发表于:Nutrition & Metabolism · 年份:2020 · DOI:10.1186/s12986-020-00518-z · 被引用次数:21 · 研究领域:Metabolomics and Mass Spectrometry Studies、Diabetes, Cardiovascular Risks, and Lipoproteins、Adipokines, Inflammation, and Metabolic Diseases
Abstract Background Asian Chinese are more susceptible to deposition of visceral adipose tissue (VAT) and type 2 diabetes (T2D) development than European Caucasians when matched for gender, age and body mass index (BMI). Our aims were: (i) characterise the ethnicity-specific metabolomic signature of visceral adiposity measured by dual energy X-ray absorptiometry (DXA) and fasting plasma glucose (FPG), and (ii) identify individuals susceptible to worse metabolic health outcomes. Methods Fasting plasma samples from normoglycaemic (n = 274) and prediabetic (n = 83) participants were analysed with liquid chromatography–mass spectrometry using untargeted metabolomics. Multiple linear regression adjusting for age, gender and BMI was performed to identify metabolites associated with FPG and VAT calculated as percentage of total body fat (%VAT TBF ) in each ethnic group. Metabolic risk groups in each ethnicity were stratified based on the joint metabolomic signature for FPG and %VAT TBF and clinically characterised using partial least squares-discriminant analysis (PLS-DA) and t-tests. Results FPG was correlated with 40 and 110 metabolites in Caucasians and Chinese respectively, with diglyceride DG(38:5) (adjusted β = 0.29, p = 3.00E−05) in Caucasians and triglyceride TG(54:4) (adjusted β = 0.28, p = 2.02E−07) in Chinese being the most significantly correlated metabolite based on the p-value. %VAT TBF was correlated with 85 and 119 metabolites in Caucasians and Chinese respectively, ...