Global gene expression in skeletal muscle from well-trained strength and endurance athletes
Stepto, Nigel K. Coffey, Vernon Glenn Carey, Andrew L. Ponnampalam, Anna P. Canny, Benedict J. Powell, David Hawley, John Alan
Stepto, Nigel K.
Coffey, Vernon Glenn
Carey, Andrew L.
Ponnampalam, Anna P.
Canny, Benedict J.
Powell, David
Hawley, John Alan
Abstract
Purpose: We used gene microarray analysis to compare the global expression profile of genes involved in adaptation to training in skeletal muscle from chronically strength-trained (ST), endurance-trained (ET), and untrained control subjects (Con). Methods: Resting skeletal muscle samples were obtained from the vastus lateralis of 20 subjects (Con n = 7, ET n = 7, ST n = 6; trained [TR] groups > 8 yr specific training). Total RNA was extracted from tissue for two color microarray analysis and quantative (Q)-PCR. Trained subjects were characterized by performance measures of peak oxygen uptake (V·O2peak) on a cycle ergometer and maximal concentric and eccentric leg strength on an isokinetic dynamometer. Results: Two hundred and sixty-three genes were differentially expressed in trained subjects (ET + ST) compared with Con (P < 0.05), whereas 21 genes were different between ST and ET (P < 0.05). These results were validated by reverse transcriptase polymerase chain reaction for six differentially regulated genes (EIFSJ, LDHB, LMO4, MDH1, SLC16A7, and UTRN. Manual cluster analyses revealed significant regulation of genes involved in muscle structure and development in TR subjects compared with Con (P < = 0.05) and expression correlated with measures of performance (P < 0.05). ET had increased whereas ST had decreased expression of gene clusters related to mitochondrial/oxidative capacity (P < = 0.05). These mitochondrial gene clusters correlated with V·O2peak (P < 0.05). V·O2peak also correlated with expression of gene clusters that regulate fat and carbohydrate oxidation (P < 0.05). Conclusion: We demonstrate that chronic training subtly coregulates numerous genes from important functional groups that may be part of the long-term adaptive process to adapt to repeated training stimuli.
Keywords
microarray, cluster analysis, Q-PCR, RT-PCR, resistance training, aerobic training
Date
2009
Type
Journal article
Journal
Medicine and Science in Sports and Exercise
Book
Volume
41
Issue
3
Page Range
546-565
Article Number
ACU Department
Mary MacKillop Institute for Health Research
Faculty of Health Sciences
Faculty of Health Sciences