Associations of Plasma and Fecal Metabolites with Body Mass Index and Body Fat Distribution in Children

被引:1
|
作者
Hong, Zhen [1 ]
Zhou, Kejun [2 ]
Wei, Yuanhuan [1 ]
Ma, Bingjie [3 ]
Xie, Guoxiang [2 ]
Zhang, Zheqing [1 ]
Liang, Jingjing [3 ]
机构
[1] Southern Med Univ, Sch Publ Hlth, Dept Nutr & Food Hyg, Guangdong Prov Key Lab Trop Dis Res, 1023-1063 Shatai South Rd, Guangzhou 510145, Peoples R China
[2] Human Metabol Inst Inc, Med Lab, 6 Qinglong Rd, Shenzhen 518109, Peoples R China
[3] Guangzhou Med Univ, Guangzhou Women & Childrens Med Ctr, Guangdong Prov Clin Res Ctr Child Hlth, Dept Child Hlth Care, 9 Jinsui Rd,Zhujiang New Town, Guangzhou 510623, Peoples R China
基金
中国国家自然科学基金;
关键词
plasma metabolites; fecal metabolites; body mass index; body fat distribution; children; AMINO-ACID PROFILES; ADIPOSE-TISSUE; METABOLOMICS; RECEPTORS;
D O I
10.1210/clinem/dgae296
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Context: Childhood obesity continues to be a critical public health concern with far-reaching implications for well-being. Objective: This study aimed to investigate the association between metabolites in plasma and feces and indicators including body mass index (BMI), BMI for age Z score (BMIZ), and body fat distribution among children aged 6 to 9 years in China. Methods: This cross-sectional study enrolled 424 healthy children, including 186 girls and 238 boys. Dual-energy X-ray absorptiometry was used to determine the body fat content and regional fat distribution. Plasma and fecal metabolites were analyzed using targeted metabolomic technologies. Results: A total of 200 plasma metabolites and 212 fecal metabolites were accurately quantified via ultra-performance liquid chromatography coupled with tandem mass spectrometry. By using orthogonal projections to latent structures discriminant analysis and random forest model, we discovered that 9 plasma metabolites and 11 fecal metabolites were associated with different weight statuses. After adjusting for potential covariates and false discovery rate correction, multiple linear regression analyses revealed that plasma metabolites (fumaric acid, glycine, l-glutamine, methylmalonic acid, and succinic acid) and fecal metabolites (protocatechuic acid) were negatively associated (beta -1.373 to -.016, pFDR < 0.001-0.031; beta -1.008 to -.071, pFDR 0.005-0.033), while plasma metabolites (isovaleric acid, isovalerylcarnitine, l-glutamic acid, and pyroglutamic acid) and fecal metabolites (3-aminoisobutanoic acid, butyric acid, N-acetylneuraminic acid, octanoylcarnitine, oleoylcarnitine, palmitoylcarnitine, stearoylcarnitine, taurochenodesoxycholic acid, and taurodeoxycholic acid) exhibited positive associations with BMI, BMIZ, and body fat distribution (beta .023-2.396, pFDR < 0.001; beta .014-1.736, pFDR < 0.001-0.049). Conclusion: Plasma and fecal metabolites such as glutamine may serve as potential therapeutic targets for the development of obesity.
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页数:12
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