Distinct metabolite profiles of adiposity indices and their relationships with habitual diet in young adults

• Published in: Nutrition, metabolism, and cardiovascular diseases Vol. 31; no. 7; pp. 2122 - 2130
• Main Authors: Xu, Kun, Shi, Lin, Zhang, Baoming, Mi, Baibing, Yang, Jiaomei, Sun, Xiaomin, Liao, Xia, Dai, Xiaoshuang, Zeng, Lingxia, Liu, Xin, Yan, Hong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 30.06.2021
• Subjects: Body fat percentage; Body mass index; Diet; Lipidomics; Metabolomics; Visceral adiposity index; Waist circumference; Body fat percentage; Metabolomics; Body mass index; Waist circumference; Diet; Lipidomics; Visceral adiposity index
• ISSN: 0939-4753; 1590-3729
• DOI: 10.1016/j.numecd.2021.03.025

Obesity is characterized as overall or regional adiposity accumulation. However, the metabolic status underlying fat accumulation was not well understood. We sought to identify metabolite profiles based on their correlations with body mass index (BMI), body fat percentage (BFP), waist circumference (WC), and visceral adiposity index (VAI) in young Chinese adults (19–37 years old), and their associations with dietary consumption were also explored. A total of 86 plasma samples were analyzed using untargeted lipidomics and metabolomics approaches. Metabolite profiles of adiposity indices were identified using random forest modelling. Ridge regression was used to generate metabolite scores. Overall, 30, 46, 30, and 20 metabolites correlated with BMI, BFP, WC, and VAI, respectively, which resulted in metabolite scores for each index. Top three enriched categories of the identified metabolites were glycerophospholipids, glycerolipids, and sphingolipids, with some specific metabolites (such as phosphatidylserine (37:2), phatidylethanolamine (42:4), and ceramide (40:0)) exclusively associated with overall adiposity, and some other metabolites exclusively associated with abdominal adiposity indices, e.g., triradylglycerol (45:0, 52:4, and 35:0) and diacylglycerol (38:4, 36:3, and 36:5). Moreover, metabolite scores were negatively associated with the intake of food rich in protein or fiber, while they were positively associated with food rich in carbohydrate, with similar results for adiposity indices. We observed unique metabolite profiles of regional or overall fat deposition in young adults. Glycerophospholipids, glycerolipids, or sphingolipids may be involved in the regulation of adiposity accumulation, affected by dietary exposures. •Metabolite profiles of four adiposity indices were identified in young adults.•Unique metabolite profiles of regional or overall fat deposition were observed.•Associations of metabolite profiles of adiposity indices with diet were detected.