4.5 Article

Time course of molecular responses of human skeletal muscle to acute bouts of resistance exercise

期刊

JOURNAL OF APPLIED PHYSIOLOGY
卷 98, 期 2, 页码 482-488

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/japplphysiol.00895.2004

关键词

neuromuscular electrical stimulation; myogenin; p21; MyoD

资金

  1. NIAMS NIH HHS [AR-45594] Funding Source: Medline
  2. NICHD NIH HHS [HD-37439-S, HD-39676, HD-39676-S2] Funding Source: Medline

向作者/读者索取更多资源

Resistance exercise (RE) training, designed to induce hypertrophy, strives for optimal activation of anabolic and myogenic mechanisms to increase myofiber size. Clearly, activation of these mechanisms must precede skeletal muscle growth. Most mechanistic studies of RE have involved analysis of outcome variables after many training sessions. This study measured molecular level responses to RE on a scale of hours to establish a time course for the activation of myogenic mechanisms. Muscle biopsy samples were collected from nine subjects before and after acute bouts of RE. The response to a single bout was assessed at 12 and 24 h postexercise. Further samples were obtained 24 and 72 h after a second exercise bout. RE was induced by neuromuscular electrical stimulation to generate maximal isometric contractions in the muscle of interest. A single RE bout resulted in increased levels of mRNA for IGF binding protein-4 (84%), MyoD (83%), myogenin (similar to3-fold), cyclin D1 (50%), and p21-Waf1 (16-fold), and a transient decrease in IGF-I mRNA (46%). A temporally conserved, significant correlation between myogenin and p21 mRNA was observed (r = 0.70, P less than or equal to 0.02). The mRNAs for mechano-growth factor, IGF binding protein-5, and the IGF-I receptor were unchanged by RE. Total skeletal muscle RNA was increased 72 h after the second serial bout of RE. These results indicate that molecular adaptations of skeletal muscle to loading respond in a very short time. This approach should provide insights on the mechanisms that modulate adaptation to RE and may be useful in evaluating RE training protocol variables with high temporal resolution.

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