Physical activity is renowned for its wide-ranging health benefits, contributing to the reduction of cardiometabolic diseases, neurodegenerative disorders, and cancer risks while enhancing metabolic and immune health. These benefits are driven by intricate molecular adaptations across multiple tissues, relying on complex networks within genomic, proteomic, and metabolomic landscapes. Recent advancements in multi-omics technologies, including proteomics, transcriptomics, and metabonomics, have created opportunities to thoroughly investigate the molecular responses invoked by exercise. Of particular interest are post-translational modifications (PTMs), such as those involved inglycosylation, lactylation, and acetylation, which are crucial for regulating protein functions and cellular signaling. However, many current studies are limited, largely focusing on individual tissues or omics layers. Consequently, knowledge gaps regarding spatial-temporal dynamics and age-specific responses persist, leaving numerous molecular mechanisms associated with exercise underexplored.
This Research Topic aims to address the fragmented state of current knowledge on exercise-induced molecular adaptations. By integrating multi-omics datasets, this initiative seeks to delineate the dynamic, tissue-specific interactions between PTMs, metabolic alterations, and transcriptional regulation. Key challenges include understanding the integrated effects of various PTMs across tissues, comprehending age and temporal molecular variations and overcoming translational barriers in exercise prescription. A comprehensive approach combining longitudinal multi-omics profiling with sophisticated computational models is proposed to uncover the complex PTM interactions, pinpoint key messenger molecules between tissues, and devise personalized exercise regimes. This endeavor will enhance our grasp of exercise biology and foster the creation of more effective exercise interventions for a range of health conditions and aging-related issues.
To gather further insights into the multi-omics landscape of exercise-induced adaptations, we welcome articles addressing, but not limited to, the following themes:
o Exercise-driven PTM dynamics: Glycosylation, lactylation, and acetylation
o Multi-omics integration: Synergistic analysis of proteomics, transcriptomics, metabolomics, and PTM-specific datasets (e.g., glycosylation, acetylome, lactylome)
o Temporal and age/sex heterogeneity: Acute vs. chronic exercise effects, age-related adaptive responses, and sex-specific molecular signatures
o Translational applications: Computational models linking omics signatures to personalized exercise prescriptions for metabolic disorders, neurodegeneration, or aging
o Novel biomarkers and therapeutic targets for precision exercise interventions
We welcome submissions of Original Research, Reviews, Methodological Advances, and Perspectives that offer mechanistic insights, introduce technological innovations, or reveal clinical correlations. Submissions focusing on multi-omics integration or PTM cross-talk, using animal models, human cohorts, or in vitro systems are encouraged.
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
General Commentary
Hypothesis and Theory
Methods
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:
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.
