Molecular Landscape of Modality-Specific Exercise Adaptation in Human Skeletal Muscle through Large-Scale Multi-OMICs Integration
Jacques, M.; Landen, S.; Sharples, A. P.; Garnham, A.; Schittenhelm, R.; Stele, J.; Heikkinen, A.; Sillanpaa, E.; Ollikainen, M.; Broatch, J.; Zarekookandeh, N.; Hanson, O.; Ekstrom, O.; Asplund, O.; Lamon, S.; Alexander, S. E.; Smith, C.; Bauer, C.; Woessner, M. N.; Levinger, I.; Teschendorff, A. E.; Gillberg, L.; Blom, I.; Wulff Helge, J.; Harvey, N. R.; Haupt, L. M.; Griffiths, L. R.; Deshmukh, A. S.; Pietilainen, K. H.; Piirila, P.; Seaborne, R. A.; Jones-Freeman, B.; EYNON, N.
Show abstract
We conducted a large-scale, statistically powered, meta-analysis of exercise adaptations in human skeletal muscles, integrating epigenetic, transcriptomic, transcription factors, and proteomic data across 12 independent cohorts comprising over 1000 participants and 2340 human muscle samples. Our study identified distinctive signatures associated with maximal oxygen consumption (VO2max), and identified five genes robustly intersecting multi-OMIC layers. Notably, transcription factors predominantly functioned as activators across these layers, regulating expression of target genes irrespective of whether DNA methylation levels were low or high, indicating a synergistic effect between TFs and the methylome. Analysis of distinct exercise modalities (aerobic and resistance exercise) revealed unique gene pathways, contrasting with patterns observed in inactivity (muscle disuse) studies. These findings offer a comprehensive understanding of exercise and modality-specific adaptations, shedding light on muscle health and the molecular mechanisms associated with cardiorespiratory fitness, aging, and disease prevention.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- High-Intensity Interval Training Remodels the Proteome and Acetylome of Human Skeletal Muscle 95%
- Serum proteomic profiling of physical activity reveals CD300LG as a novel exerkine with a potential causal link to glucose homeostasis 94%
- Unbiased Proteomics, Histochemistry, and Mitochondrial DNA Copy Number Reveal Better Mitochondrial Health in Muscle of High Functioning Octogenarians 94%
Similar papers in this journal
- Transcriptomic Profiling of Skeletal Muscle Adaptations to Exercise and Inactivity 95%
- Multiomic identification of key transcriptional regulatory programs during endurance exercise training 94%
- Training-induced bioenergetic improvement in human skeletal muscle is associated with non-stoichiometric changes in the mitochondrial proteome without reorganization of respiratory chain content 93%
Similar papers in this journal
- Exercise Training Remodels Adipocyte-Specific Extracellular Matrix Proteins and Alters Innervation and Vascularization in Inguinal White Adipose Tissue (iWAT) 94%
- Nicotinamide riboside augments the human skeletal muscle NAD+ metabolome and induces transcriptomic and anti-inflammatory signatures in aged subjects: a placebo-controlled, randomized trial 93%
- Spatially resolved transcriptomics reveals innervation-responsive functional clusters in skeletal muscle 93%
Similar papers in this journal
- Composite trait Mendelian Randomization reveals distinct metabolic and lifestyle consequences of differences in body shape 92%
- Integration of Multiomic and Multi-phenotypic Data Identifies Biological Pathways Associated with Physical Fitness 92%
- Multimodal epigenetic and enhancer network remodeling shape the transcriptional landscape of beige adipocytes 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.