Uniformly re-analysed public omics data and graded meta-analyses of exercise responses in humans and rodents

Uniform re-analysis of 1,037 exercise omics contrasts across 448 study clusters in humans, mice, and rats yields moderated standardized effect sizes for every measured gene, protein, miRNA, and metabolite.

• Why it matters: Public exercise omics results are difficult to combine because studies vary by species, tissue, protocol, sampling time, and analysis pipeline.
• What they did: The team screened GEO, PRIDE, and Metabolomics Workbench, built exercise–control contrasts from sample metadata, and uniformly re-analysed 1,037 contrasts spanning 20 tissue classes and seven molecular data types.
• The result: For 88 tissue–paradigm–molecular-layer analysis units, random-effects meta-analyses with heterogeneity, evidence classes, and replication in two held-out training atlases enable molecule look-up, new meta-analyses, and benchmarking of exercise study designs.

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