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Updated: Sep 20, 2025

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Skeletal Muscle Gender Dimorphism from Proteomics
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在人类骨肌肉中,通过大规模的多omics集成来进行性别和模式特定的运动适应的分子景观
Macsue Jacques1, Shanie Landen2, Adam P Sharples3
1Australian Regenerative Medicine Institute, Monash University, Clayton, VIC, Australia; Institute for Health and Sport (iHeS), Victoria University, Footscray, VIC, Australia.
Cell reports
|May 30, 2025
概括
这项研究揭示了肌肉中适应运动的关键分子标记物,使用来自1000多人的多omics数据. 这些发现增强了我们对心肺健康和肌肉健康的理解.
科学领域:
- 分子生物学分子生物学
- 运动生理学 运动生理学
- 基因组学就是基因组学.
背景情况:
- 了解运动适应对于肌肉健康和疾病预防至关重要.
- 多学科方法为复杂的生物过程提供了全面的视图.
研究的目的:
- 研究人类肌肉中运动适应的基础分子机制.
- 确定与心肺呼吸能力 (VO2max) 相关的强有力的分子标记物.
- 探索特定于性别和特定于模式 (有氧与阻力) 的运动效应.
主要方法:
- 综合多组数据 (基因组,甲基组,转录组,蛋白质组) 来自超过1,000名参与者的2,340个肌肉样本.
- 统计分析以确定与VO2max相关的特征.
- 研究了基因调节中的转录因子和DNA甲基化之间的相互作用.
- 在有氧运动,抵抗运动和肌肉不使用中比较了分子模式.
主要成果:
- 确定了与最大氧气消耗 (VO2max) 相关的独特的多omics签名.
- 发现了五个关键基因作为强大的运动标记物,由转录因子和DNA甲基化调节.
- 在运动诱导的分子适应中观察到最小的性别差异.
- 突出了有氧运动与抵抗运动的独特分子通路,与肌肉不使用不同.
结论:
- 建立了一个全面的多学科框架,以了解运动诱导的肌肉适应.
- 提供了关于心肺健康和肌肉健康的分子调节者的见解.
- 开发了一个网络工具 (OMAx) 来访问和分析与运动相关的多omics数据.
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