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Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
Nicolas J Pillon1, Brendan M Gabriel1, Lucile Dollet1
1Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Nature Communications
|January 26, 2020
Summary
This study reveals key molecular pathways in skeletal muscle affected by exercise and inactivity. It identifies NR4A3 as a crucial gene in exercise response, particularly in individuals with metabolic issues.
Area of Science:
- Exercise science
- Molecular biology
- Genomics
Background:
- The molecular basis of skeletal muscle adaptation to exercise and inactivity remains incompletely understood.
- Profiling the skeletal muscle transcriptome offers insights into these adaptive mechanisms.
Purpose of the Study:
- To comprehensively analyze skeletal muscle transcriptional responses to various exercise stimuli and inactivity.
- To identify key genes and pathways involved in exercise adaptation.
- To investigate exercise responses in individuals with metabolic impairments.
Main Methods:
- Meta-analysis of 66 human skeletal muscle transcriptomic datasets.
- Integration of data from aerobic and resistance exercise studies (acute and chronic).
- Gene ontology and pathway analyses using the MetaMEx (www.metamex.eu) platform.
Main Results:
- Identification of selective pathways activated by inactivity, aerobic vs. resistance exercise, and acute vs. chronic training.
- NR4A3 identified as a highly responsive gene to exercise and inactivity.
- NR4A3 demonstrated a role in mediating metabolic responses to exercise stimuli in vitro.
- Differential exercise responses observed in individuals with metabolic impairments.
Conclusions:
- The MetaMEx database provides an extensive resource for skeletal muscle transcriptional responses to exercise.
- NR4A3 is a significant regulator of skeletal muscle adaptation to exercise.
- Understanding these transcriptional changes can inform strategies for metabolic health and exercise interventions.
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