4.5 Article

Selection-, age-, and exercise-dependence of skeletal muscle gene expression patterns in a rat model of metabolic fitness

期刊

PHYSIOLOGICAL GENOMICS
卷 48, 期 11, 页码 816-825

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/physiolgenomics.00118.2015

关键词

divergent selection; aerobic capacity; gene expression; aging; exercise

资金

  1. National Institutes of Health (NIH) Office of Research Infrastructure Programs [P40OD021331]
  2. Michigan Nutrition Obesity Research Center [P30 DK-089503]
  3. NIH [RO1 DK-099034]
  4. Ellison Medical Foundation

向作者/读者索取更多资源

Intrinsic aerobic exercise capacity can influence many complex traits including obesity and aging. To study this connection we established two rat lines by divergent selection of untrained aerobic capacity. After 32 generations the high capacity runners (HCR) and low capacity runners (LCR) differed in endurance running distance and body fat, blood glucose, other health indicators, and natural life span. To understand the interplay among genetic differences, chronological age, and acute exercise we performed microarray-based gene expression analyses in skeletal muscle with a 2x2x2 design to simultaneously compare HCR and LCR, old and young animals, and rest and exhaustion. Transcripts for mitochondrial function are expressed higher in HCRs than LCRs at both rest and exhaustion and for both age groups. Expression of cell adhesion and extracellular matrix genes tend to decrease with age. This and other age effects are more prominent in LCRs than HCRs, suggesting that HCRs have a slower aging process and this may be partly due to their better metabolic health. Strenuous exercise mainly affects transcription regulation and cellular response. The effects of any one factor often depend on the other two. For example, there are similar to 140 and similar to 110 line-exercise interacting genes for old and young animals, respectively. Many genes highlighted in our study are consistent with prior reports, but many others are novel. The gene-and pathway-level statistics for the main effects, either overall or stratified, and for all possible interactions, represent a rich reference dataset for understanding the interdependence among lines, aging, and exercise.

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