3 research outputs found
Key Genetic Drivers of Volitional Physical Activity in the Central Nervous System
Previous studies suggest that physical activity is driven by the Central Nervous System (CNS). PURPOSE: We determined the central genetic drivers of volitional activity in the CNS and identified several molecular mechanisms promoting improvements in metabolism as a consequence of daily exercise. METHODS: Leveraging genetic diversity, we studied 100 strains of sedentary (SED) and exercise-trained (TRN; in cage running wheels) animals of the UCLA hybrid mouse diversity panel (HMDP). Candidate gene identification analysis and single-cell RNA sequencing in three brain regions (hypothalamus, hippocampus, and striatum) were performed. Differential gene analysis was conducted between a cohort of exercise-trained and sedentary C57BL/6J mice using the same exercise training protocol as employed for the exercise HMDP. RESULTS: The hypothalamus contained the highest number of candidate genes associated with volitional activity (n=81), followed by the striatum (n=56), and the hippocampus (n=41), with many driver transcripts being shared among all three brain regions. Seventeen distinct cell populations were identified within the hypothalamus, and significant differences in cell-specific transcripts were identified in TRN vs SED mice (FDRHumanin, was significantly increased in nearly all cell types. CONCLUSION: Volitional activity appears significantly controlled by the genetic architecture of the hypothalamus, striatum, and hippocampus brain regions. Transcript signatures within the various cell types of these brain regions were altered following 30 days of exercise training. Our findings show that the gene encoding the mitochondrial peptide Humanin is exercise responsive, induced by exercise training in all three brain regions examined, and is a likely mediator of exercise-induced neuroprotection
Conserved multi-tissue transcriptomic adaptations to exercise training in humans and mice
Summary: Physical activity is associated with beneficial adaptations in human and rodent metabolism. We studied over 50 complex traits before and after exercise intervention in middle-aged men and a panel of 100 diverse strains of female mice. Candidate gene analyses in three brain regions, muscle, liver, heart, and adipose tissue of mice indicate genetic drivers of clinically relevant traits, including volitional exercise volume, muscle metabolism, adiposity, and hepatic lipids. Although ∼33% of genes differentially expressed in skeletal muscle following the exercise intervention are similar in mice and humans independent of BMI, responsiveness of adipose tissue to exercise-stimulated weight loss appears controlled by species and underlying genotype. We leveraged genetic diversity to generate prediction models of metabolic trait responsiveness to volitional activity offering a framework for advancing personalized exercise prescription. The human and mouse data are publicly available via a user-friendly Web-based application to enhance data mining and hypothesis development