A joint analysis of metabolomic profiles associated with muscle mass and strength in Caucasian women
Year: 2018
Type: article
Study design: Observational Study
Abstract: Both loss of muscle mass and strength are important sarcopenia-related traits. In this study, we investigated both specific and shared serum metabolites associated with these two traits in 136 Caucasian women using a liquid chromatography-mass spectrometry method. A joint analysis of multivariate traits was used to examine the associations of individual metabolites with muscle mass measured by the body mass index-adjusted appendicular lean mass (ALM/BMI) and muscle strength measured by hand grip strength (HGS). After adjusting for multiple testing, nine metabolites including two amino acids (aspartic acid and glutamic acid) and an amino acid derive (pipecolic acid), one peptide (phenylalanyl-threonine), one carbohydrate (methyl beta-D-glucopyranoside), and four lipids (12S-HETRE, arachidonic acid, 12S-HETE, and glycerophosphocholine) were significant in the joint analysis. Of them, the two amino acids (aspartic acid and glutamic acid) and two lipids (12S-HETRE and 12S-HETE) were associated with both ALM/BMI and HGS, and the other five were only associated with ALM/BMI. The pathway analysis showed the amino acid metabolism pathways (aspartic acid and glutamic acid) might play important roles in the regulation of muscle mass and strength. In conclusion, our study identified novel metabolites associated with sarcopenia-related traits, suggesting novel metabolic pathways for muscle regulation.
Source: Aging
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: American Heart Association, Tulane University, National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Arthritis and Musculoskeletal and Skin Diseases
Awards: G19956286, Integration of brain imaging with genomic and epigenomic data, Epigenomewide DNA Methylation Study for Osteoporosis Risk, Decoding Methylation Mediated Epigenomic Contributions to Male Osteoporosis, G4882851039, G571018580, Southeast Resource Center for Integrated Metabolomics (SECIM), Tulane COBRE for Clinical and Translational Research in Cardiometabolic Diseases, Trans-omics Integration of Multi-omics Studies for Osteoporosis
OpenAlex ID: W2896522016
