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Whole blood transcriptomics and urinary metabolomics to define adaptive biochemical pathways of high-intensity exercise in 50-60 year old masters athletes

Title: Whole blood transcriptomics and urinary metabolomics to define adaptive biochemical pathways of high-intensity exercise in 50-60 year old masters athletes
Authors: Mukherjee, K; Edgett, BA; Burrows, HW; Castro, C; Griffin, JL; Schwertani, AG; Gurd, BJ; Funk, CD
Publisher Information: Public Library of Science (PLoS)
Publication Year: 2014
Collection: Imperial College London: Spiral
Subject Terms: Adaptation; Physiological; Aged; Athletes; Bicycling; Case-Control Studies; Energy Metabolism; Exercise; Gene Expression Regulation; Humans; Male; Metabolome; Middle Aged; Oxygen Consumption; Physical Endurance; Signal Transduction; Transcriptome
Subject Geographic: United States
Description: Exercise is beneficial for a variety of age-related disorders. However, the molecular mechanisms mediating the beneficial adaptations to exercise in older adults are not well understood. The aim of the current study was to utilize a dual approach to characterize the genetic and metabolic adaptive pathways altered by exercise in veteran athletes and age-matched untrained individuals. Two groups of 50-60 year old males: competitive cyclists (athletes, n = 9; VO2peak 59.1±5.2 ml·kg(-1)·min(-1); peak aerobic power 383±39 W) and untrained, minimally active individuals (controls, n = 8; VO2peak 35.9±9.7 ml·kg(-1)·min(-1); peak aerobic power 230±57 W) were examined. All participants completed an acute bout of submaximal endurance exercise, and blood and urine samples pre- and post-exercise were analyzed for gene expression and metabolic changes utilizing genome-wide DNA microarray analysis and NMR spectroscopy-based metabolomics, respectively. Our results indicate distinct differences in gene and metabolite expression involving energy metabolism, lipids, insulin signaling and cardiovascular function between the two groups. These findings may lead to new insights into beneficial signaling pathways of healthy aging and help identify surrogate markers for monitoring exercise and training load.
Document Type: article in journal/newspaper
Language: English
Relation: PLoS One; http://hdl.handle.net/10044/1/81797
DOI: 10.1371/journal.pone.0092031
Availability: http://hdl.handle.net/10044/1/81797; https://doi.org/10.1371/journal.pone.0092031
Rights: © 2014 Mukherjee et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ; https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.DBB552BD
Database: BASE