4.5 Article

Influence of age, sex, and strength training on human muscle gene expression determined by microarray

期刊

PHYSIOLOGICAL GENOMICS
卷 10, 期 3, 页码 181-190

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/physiolgenomics.00028.2002

关键词

aging; exercise; gender; transcription; transcriptome

资金

  1. NIA NIH HHS [AG-42148, R01 AG005893, F32 AG005893-01, AG-05893, F32 AG005893, F32 AG005893-03, F32 AG005893-02] Funding Source: Medline
  2. NIDDK NIH HHS [DK-46204, P30 DK046204] Funding Source: Medline

向作者/读者索取更多资源

Influence of age, sex, and strength training on human muscle gene expression determined by microarray. Physiol Genomics 10: 181- 190, 2002. First published July 23, 2002; 10.1152/ physiolgenomics. 00028.2002.- The purpose of this study was to determine the influence of age, sex, and strength training (ST) on large- scale gene expression patterns in vastus lateralis muscle biopsies using high- density cDNA microarrays and quantitative PCR. Muscle samples from sedentary young (20-30 yr) and older (65-75 yr) men and women (5 per group) were obtained before and after a 9-wk unilateral heavy resistance ST program. RNA was hybridized to cDNA filter microarrays representing 4,000 known human genes and comparisons were made among arrays to determine differential gene expression as a result of age and sex differences, and/ or response to ST. Sex had the strongest influence on muscle gene expression, with differential expression (>1.7-fold) observed for 200 genes between men and women (75% with higher expression in men). Age contributed to differential expression as well, as 50 genes were identified as differentially expressed (>1.7-fold) in relation to age, representing structural, metabolic, and regulatory gene classes. Sixty- nine genes were identified as being differentially expressed (>1.7-fold) in all groups in response to ST, and the majority of these were downregulated. Quantitative PCR was employed to validate expression levels for caldesmon, SWI/ SNF (BAF60b), and four- and- a- half LIM domains 1. These significant differences suggest that in the analysis of skeletal muscle gene expression issues of sex, age, and habitual physical activity must be addressed, with sex being the most critical variable.

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