| Autor: |
Stefan M Reitzner, Eric B Emanuelsson, Muhammad Arif, Bogumil Kaczkowski, Andrew TJ Kwon, Adil Mardinoglu, Erik Arner, Mark A. Chapman, Carl Johan Sundberg |
| Rok vydání: |
2023 |
| DOI: |
10.1101/2023.04.11.535671 |
| Popis: |
SUMMARYLife-long high-level exercise training leads to improvements in physical performance and multi-tissue adaptation following changes in molecular pathways. While skeletal muscle baseline differences between exercise-trained and untrained individuals have been previously investigated, it remains unclear how acute exercise multi-omics are influenced by training history. We recruited and extensively characterized 24 individuals categorized as endurance athletes, strength athletes or control subjects. Multi-omics profiling was performed from skeletal muscle before and at three time-points after endurance or resistance exercise sessions. Timeseries multi-omics analysis revealed distinct differences in molecular processes such as fatty- and amino acid metabolism and for transcription factors such as HIF1A and the MYF-family between both exercise history and acute form of exercise. Furthermore, we found a “transcriptional specialization effect” by transcriptional narrowing and intensification. Finally, we performed multi-omics network analysis and clustering, providing a novel resource of skeletal muscle transcriptomic and metabolomic profiling in highly trained and untrained individuals. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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