TY - JOUR
T1 - Distinct metabolite profiles of adiposity indices and their relationships with habitual diet in young adults
AU - Xu, Kun
AU - Shi, Lin
AU - Zhang, Baoming
AU - Mi, Baibing
AU - Yang, Jiaomei
AU - Sun, Xiaomin
AU - Liao, Xia
AU - Dai, Xiaoshuang
AU - Zeng, Lingxia
AU - Liu, Xin
AU - Yan, Hong
N1 - Publisher Copyright:
© 2021 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University
PY - 2021/6/30
Y1 - 2021/6/30
N2 - Background and aims: 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. Methods and results: 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. Conclusion: 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.
AB - Background and aims: 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. Methods and results: 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. Conclusion: 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.
KW - Body fat percentage
KW - Body mass index
KW - Diet
KW - Lipidomics
KW - Metabolomics
KW - Visceral adiposity index
KW - Waist circumference
UR - https://www.scopus.com/pages/publications/85107013275
U2 - 10.1016/j.numecd.2021.03.025
DO - 10.1016/j.numecd.2021.03.025
M3 - 文章
C2 - 34053831
AN - SCOPUS:85107013275
SN - 0939-4753
VL - 31
SP - 2122
EP - 2130
JO - Nutrition, Metabolism and Cardiovascular Diseases
JF - Nutrition, Metabolism and Cardiovascular Diseases
IS - 7
ER -