Centre for Computational Biology, Duke-National University of Singapore Medical School, Singapore, Singapore.
Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States.
Physiol Genomics. 2023 Nov 1;55(11):517-543. doi: 10.1152/physiolgenomics.00163.2022. Epub 2023 Sep 4.
Submaximal exercise capacity is an indicator of cardiorespiratory fitness with clinical and public health implications. Submaximal exercise capacity and its response to exercise programs are characterized by heritability levels of about 40%. Using physical working capacity (power output) at a heart rate of 150 beats/min (PWC150) as an indicator of submaximal exercise capacity in subjects of the HERITAGE Family Study, we have undertaken multi-omics and in silico explorations of the underlying biology of PWC150 and its response to 20 wk of endurance training. Our goal was to illuminate the biological processes and identify panels of genes associated with human variability in intrinsic PWC150 (iPWC150) and its trainability (dPWC150). Our bioinformatics approach was based on a combination of genome-wide association, skeletal muscle gene expression, and plasma proteomics and metabolomics experiments. Genes, proteins, and metabolites showing significant associations with iPWC150 or dPWC150 were further queried for the enrichment of biological pathways. We compared genotype-phenotype associations of emerging candidate genes with reported functional consequences of gene knockouts in mouse models. We investigated the associations between DNA variants and multiple muscle and cardiovascular phenotypes measured in HERITAGE subjects. Two panels of prioritized genes of biological relevance to iPWC150 (13 genes) and dPWC150 (6 genes) were identified, supporting the hypothesis that genes and pathways associated with iPWC150 are different from those underlying dPWC150. Finally, the functions of these genes and pathways suggested that human variation in submaximal exercise capacity is mainly driven by skeletal muscle morphology and metabolism and red blood cell oxygen-carrying capacity. Multi-omics and in silico explorations of the genes and underlying biology of submaximal exercise capacity and its response to 20 wk of endurance training were undertaken. Prioritized genes were identified: 13 genes for variation in submaximal exercise capacity in the sedentary state and 5 genes for the response level to endurance training, with no overlap between them. Genes and pathways associated with submaximal exercise capacity in the sedentary state are different from those underlying trainability.
次最大运动能力是心肺健康状况的一个指标,具有临床和公共卫生意义。次最大运动能力及其对运动计划的反应的遗传力水平约为 40%。在 HERITAGE 家族研究的受试者中,使用心率为 150 次/分钟时的体力工作能力(功率输出)作为次最大运动能力的指标,我们对 PWC150 的潜在生物学及其对 20 周耐力训练的反应进行了多组学和计算机模拟探索。我们的目标是阐明生物过程,并确定与内在 PWC150(iPWC150)及其可训练性(dPWC150)的人类变异性相关的基因组合。我们的生物信息学方法基于全基因组关联、骨骼肌基因表达以及血浆蛋白质组学和代谢组学实验的组合。与 iPWC150 或 dPWC150 有显著关联的基因、蛋白质和代谢物进一步被查询以确定生物学途径的富集情况。我们将新兴候选基因的基因型-表型关联与小鼠模型中基因敲除的报告功能后果进行了比较。我们研究了 DNA 变体与 HERITAGE 受试者中测量的多种肌肉和心血管表型之间的关联。确定了与 iPWC150(13 个基因)和 dPWC150(6 个基因)相关的具有生物学意义的两个优先基因组合,这支持了与 iPWC150 相关的基因和途径与 dPWC150 不同的假设。最后,这些基因和途径的功能表明,人类次最大运动能力的变异性主要由骨骼肌形态和代谢以及红细胞携氧能力驱动。对 20 周耐力训练的次最大运动能力及其对其的反应的基因和潜在生物学进行了多组学和计算机模拟探索。确定了优先基因:13 个基因用于久坐状态下的次最大运动能力变化,5 个基因用于对耐力训练的反应水平,它们之间没有重叠。与久坐状态下次最大运动能力相关的基因和途径与可训练性的基础不同。