Enduromics and Resistomics: Omics Pathways to Personalized Exercise for Disease Mitigation

The field of exercise science is rapidly evolving through the integration of omics technologies, giving rise to promising subdisciplines such as enduromics and resistomics. These areas focus on the comprehensive molecular profiling of physiological responses to endurance and resistance exercise, moving beyond traditional reductionist and invasive approaches that primarily spotlight elite athletes. Enduromics and resistomics harness genomics, transcriptomics, proteomics, and metabolomics, enabling the characterization of dynamic systemic changes linked to cardiorespiratory fitness, muscle adaptation, and metabolic health. Recent research highlights the complexity and individuality of exercise-induced molecular pathways, yet major gaps remain regarding how these adaptations translate to broader, non-athlete populations and their potential for chronic disease prevention. Ongoing debates in the field center on the reproducibility of biomarker signatures, underlying genetic variability, and the generalizability of findings across diverse clinical cohorts.

Emerging evidence has mapped exercise-responsive molecular networks governing mitochondrial function, lipid metabolism, inflammatory regulation, and neuromuscular remodeling, suggesting potent roles in mitigating conditions such as type 2 diabetes, cardiovascular disease, and sarcopenia. Despite these advances, there is a lack of standardized methodologies and an insufficient understanding of how multi-omics signatures can directly inform personalized exercise regimens with clinical relevance. Bridging these gaps necessitates the convergence of innovative biomarker discovery, systems biology, and translational research in varied populations, further fueling the need for methodological rigor and interdisciplinary collaboration.

This Research Topic aims to consolidate and expand knowledge on how enduromics and resistomics can illuminate the molecular basis of exercise’s preventive and therapeutic influences on chronic disease. By systematically mapping and comparing molecular responses to endurance and resistance training, the goal is to foster an evidence base for individualized exercise prescriptions that enhance metabolic health, functional recovery, and disease resilience. Researchers are encouraged to explore new and established biomarkers, computational modeling of multi-omics data, and strategies for translating these findings into practice.

To gather further insights in the boundaries of molecular profiling and its application to exercise interventions, we welcome articles addressing, but not limited to, the following themes:
• Identification and validation of omics-based biomarkers for exercise response
• Comparative analyses of endurance vs. resistance training signatures
• Multi-omics data integration and computational modeling approaches
• Personalized exercise prescriptions and their clinical implementation
• Molecular mechanisms underlying disease prevention and rehabilitation
• Methodological advancements in omics sampling and analysis
• Systems biology and translational methodologies in various populations

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Systematic Review
• Technology and Code

Keywords: Enduromics, resistomics, exercise, disease, metabolomics

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.