Sarzynski Mark A, Ghosh Sujoy, Bouchard Claude
Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Cardiovascular and Metabolic Disorders Program and Centre for Computational Biology, Duke-NUS Medical School, Singapore.
J Physiol. 2017 May 1;595(9):2931-2939. doi: 10.1113/JP272559. Epub 2016 Jul 3.
Predicting the responsiveness to regular exercise is a topic of great relevance due to its potential role in personalized exercise medicine applications. The present review focuses on cardiorespiratory fitness (commonly measured by maximal oxygen uptake, V̇O2 max ), a trait with wide-ranging impact on health and performance indicators. Gains in V̇O2 max demonstrate large inter-individual variation even in response to standardized exercise training programmes. The estimated ΔVO2 max heritability of 47% suggests that genomic-based predictors alone are insufficient to account for the total trainability variance. Candidate gene and genome-wide linkage studies have not significantly contributed to our understanding of the molecular basis of trainability. A genome-wide association study suggested that V̇O2 max trainability is influenced by multiple genes of small effects, but these findings still await rigorous replication. Valuable evidence, however, has been obtained by combining skeletal muscle transcript abundance profiles with common DNA variants for the prediction of the V̇O2 max response to exercise training. Although the physiological determinants of V̇O2 max measured at a given time are largely enunciated, what is poorly understood are the details of tissue-specific molecular mechanisms that limit V̇O2 max and related signalling pathways in response to exercise training. Bioinformatics explorations based on thousands of variants have been used to interrogate pathways and systems instead of single variants and genes, and the main findings, along with those from exercise experimental studies, have been summarized here in a working model of V̇O2 max trainability.
预测对常规运动的反应性是一个极具相关性的话题,因为它在个性化运动医学应用中具有潜在作用。本综述聚焦于心肺适能(通常通过最大摄氧量,即V̇O2 max来衡量),这一特征对健康和表现指标有着广泛影响。即使在接受标准化运动训练计划时,V̇O2 max的提升也表现出较大的个体差异。估计V̇O2 max的遗传率为47%,这表明仅基于基因组的预测因子不足以解释总训练可变性。候选基因和全基因组连锁研究对我们理解训练可变性的分子基础贡献不大。一项全基因组关联研究表明,V̇O2 max的训练可变性受多个小效应基因的影响,但这些发现仍有待严格验证。然而,通过将骨骼肌转录本丰度谱与常见DNA变异相结合来预测运动训练对V̇O2 max的反应,已获得了有价值的证据。尽管在给定时间测量的V̇O2 max的生理决定因素已基本阐明,但对限制V̇O2 max的组织特异性分子机制细节以及运动训练后的相关信号通路却知之甚少。基于数千个变异的生物信息学探索已被用于研究通路和系统而非单个变异和基因,这里将主要发现以及运动实验研究的发现汇总在一个V̇O2 max训练可变性的工作模型中。