Serum Predictors of Percent Lean Mass in Young Adults. Issue 8 (August 2016)

• Record Type: Journal Article
• Authors: Lustgarten, Michael S.; Price, Lori L.; Phillips, Edward M.; Kirn, Dylan R.; Mills, John; Fielding, Roger A.
• Is Part Of: Journal of strength and conditioning research. Volume 30:Issue 8(2016)
• Publication Date: 2016-08
• Subjects: analytes -- metabolites -- metabolomics -- lean mass; Physical education and training -- Periodicals; Weight training -- Physiological aspects -- Periodicals; Physical fitness -- Periodicals; 613.7
• DOI: 10.1519/JSC.0b013e31829eef24
• Languages: English
• ISSNs: 1064-8011

Abstract

Abstract : Abstract: Lustgarten, MS, Price, LL, Phillips, EM, Kirn, DR, Mills, J, and Fielding, RA. Serum predictors of percent lean mass in young adults. J Strength Cond Res 30(8): 2194–2201, 2016—Elevated lean (skeletal muscle) mass is associated with increased muscle strength and anaerobic exercise performance, whereas low levels of lean mass are associated with insulin resistance and sarcopenia. Therefore, studies aimed at obtaining an improved understanding of mechanisms related to the quantity of lean mass are of interest. Percent lean mass (total lean mass/body weight × 100) in 77 young subjects (18–35 years) was measured with dual-energy x-ray absorptiometry. Twenty analytes and 296 metabolites were evaluated with the use of the standard chemistry screen and mass spectrometry–based metabolomic profiling, respectively. Sex-adjusted multivariable linear regression was used to determine serum analytes and metabolites significantly ( p ⩽ 0.05 and q ⩽ 0.30) associated with the percent lean mass. Two enzymes (alkaline phosphatase and serum glutamate oxaloacetate aminotransferase) and 29 metabolites were found to be significantly associated with the percent lean mass, including metabolites related to microbial metabolism, uremia, inflammation, oxidative stress, branched-chain amino acid metabolism, insulin sensitivity, glycerolipid metabolism, and xenobiotics. Use of sex-adjusted stepwise regression to obtain a final covariate predictor model identified the combination of 5 analytes and metabolites as overall predictors of the percent lean mass (model R 2 = 82.5%). Collectively, these data suggest that a complex interplay of various metabolic processes underlies the maintenance of lean mass in young healthy adults. Abstract : Supplemental Digital Content is Available in the Text.