ArticlePhysiological genomics2023
Omics-driven investigation of the biology underlying intrinsic submaximal working capacity and its trainability.
Article in Physiological genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Erythrocyte Glycolytic and Redox Metabolism Affects Muscle Oxygenation and Exercise Performance: A Randomized Double-Blind Crossover Study in Men.Sports medicine (Auckland, N.Z.) · 2025Trial
- Multi‑omics approaches to decipher the molecular mechanisms of exercise‑mediated bone protection: From mechanistic insights to personalized exercise prescription (Review).Molecular medicine reports · 2026Review
- Urinary proteomic signature of exercise intolerance in patients at risk of heart failure: evidence from the HOMAGE trial.EBioMedicine · 2026Article
- From Athletic Performance to Functional Ageing: Shared Genetic Architecture, Redox-Inflammatory Pathways and Functional Reserve Across the Life Course-A Narrative Review.Biomedicines · 2026Review
- Multi-Omics Insights Into the Mechanisms of Early Muscle Fiber Difference and Transformation Between Lean-Type and Chinese Indigenous Pigs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- The constrained-disorder principle defines the functions of systems in nature.Frontiers in network physiology · 2024Review
- An optimized method for gene knockdown in differentiating human and mouse adipocyte cultures.bioRxiv : the preprint server for biology · 2023Article
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Authors and funding
14 authors.
Funding
Abstract
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.