| Literature DB >> 28052980 |
Rachel A Murphy1, Steven C Moore2, Mary Playdon2, Osorio Meirelles3, Anne B Newman4, Iva Milijkovic4, Stephen B Kritchevsky5, Ann Schwartz6, Bret H Goodpaster7, Joshua Sampson2, Peggy Cawthon6,8, Eleanor M Simonsick9, Robert E Gerszten10, Clary B Clish10, Tamara B Harris3.
Abstract
To identify biomarkers of body mass index, body fat, trunk fat, and appendicular lean mass, nontargeted metabolomics was performed in plasma from 319 black men in the Health, Aging and Body Composition study (median age 72 years, median body mass index 26.8 kg/m2). Body mass index was calculated from measured height and weight; percent fat, percent trunk fat, and appendicular lean mass were measured with dual-energy x-ray absorptiometry. Pearson partial correlations between body composition measures and metabolites were adjusted for age, study site, and smoking. Out of 350 metabolites, body mass index, percent fat, percent trunk fat, and appendicular lean mass were significantly correlated with 92, 48, 96, and 43 metabolites at p less than .0014. Metabolites most strongly correlated with body composition included carnitine, a marker of fatty acid oxidation (positively correlated), triacylglycerols (positively correlated), and amino acids including branched-chain amino acids (positively correlated except for acetylglycine and serine). Gaussian Graphical Models of metabolites found that 25 lipid metabolites clustered into a single network. Groups of five amino acids, three plasmalogens, and two carnitines were also observed. Findings confirm prior reports of associations between amino acids, lean mass, and fat mass in addition to associations not previously reported. Future studies should consider whether these metabolites are relevant for metabolic disease processes. Published by Oxford University Press on behalf of The Gerontological Society of America 2017. This work is written by (a) US Government employee(s) and is in the public domain in the US.Entities:
Keywords: Aging; Body composition; Metabolomics; Obesity
Mesh:
Year: 2017 PMID: 28052980 PMCID: PMC5861966 DOI: 10.1093/gerona/glw245
Source DB: PubMed Journal: J Gerontol A Biol Sci Med Sci ISSN: 1079-5006 Impact factor: 6.053