Temporal dynamics of the multi-omic response to endurance exercise training across tissues
Endurance Training
Metabolome
Lipidome
Proteome
DOI:
10.1101/2022.09.21.508770
Publication Date:
2022-09-23T14:45:12Z
AUTHORS (184)
ABSTRACT
Abstract Regular exercise promotes whole-body health and prevents disease, yet the underlying molecular mechanisms throughout a whole organism are incompletely understood. Here, Molecular Transducers of Physical Activity Consortium (MoTrPAC) profiled temporal transcriptome, proteome, metabolome, lipidome, phosphoproteome, acetylproteome, ubiquitylproteome, epigenome, immunome in blood, plasma, 18 solid tissues Rattus norvegicus over 8 weeks endurance training. The resulting data compendium encompasses 9466 assays across 19 tissues, 25 platforms, 4 training time points young adult male female rats. We identified thousands shared tissue- sex-specific alterations. Temporal multi-omic multi-tissue analyses demonstrated distinct patterns tissue remodeling, with widespread regulation immune, metabolism, heat shock stress response, mitochondrial pathways. These provide biological insights into adaptive responses to time. For example, induced heart remodeling via altered activity Mef2 family transcription factors tyrosine kinases. Translational revealed changes that consistent human negatively correlated including increased phospholipids decreased triacylglycerols liver. Sex differences adaptation were widespread, those brain, adrenal gland, lung, adipose tissue. Integrative generated novel hypotheses disease relevance, candidate link non-alcoholic fatty liver inflammatory bowel cardiovascular health, injury recovery. analysis results presented this study will serve as valuable resources for broader community provided an easily accessible public repository ( https://motrpac-data.org/ ). Highlights Multi-tissue resource identifies 35,439 analytes regulated by at 5% FDR 211 combinations platforms. Interpretation systemic tissue-specific adaptations produced help describe benefits exercise. Robust observed multiple organs level. Deep profiling six defines regulatory signals All available repository, processed data, results, code reproduce major additionally convenient R packages.
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