PGC-1α activation boosts exercise-dependent cellular response in the skeletal muscle.
Soroosh MozaffaritabarErika KoitaiLei ZhouZoltan BoriAttila KolonicsSylwester KujachYaodong GuAtsuko KoikeAnita BorosZsolt RadakPublished in: Journal of physiology and biochemistry (2024)
The role of Peroxisome proliferator-activated receptor-gamma coactivator alpha (PGC-1α) in fat metabolism is not well known. In this study, we compared the mechanisms of muscle-specific PGC-1α overexpression and exercise-related adaptation-dependent fat metabolism. PGC-1α trained (PGC-1α Ex) and wild-trained (wt-ex) mice were trained for 10 weeks, five times a week at 30 min per day with 60 percent of their maximal running capacity. The PGC-1α overexpressed animals exhibited higher levels of Fibronectin type III domain-containing protein 5 (FNDC5), 5' adenosine monophosphate-activated protein kinase alpha (AMPK-α), the mammalian target of rapamycin (mTOR), Sirtuin 1 (SIRT1), Lon protease homolog 1 (LONP1), citrate synthase (CS), succinate dehydrogenase complex flavoprotein subunit A (SDHA), Mitofusin-1 (Mfn1), endothelial nitric oxide synthase (eNOS), Hormone-sensitive lipase (HSL), adipose triglyceride lipase (ATGL), G protein-coupled receptor 41 (GPR41), and Phosphatidylcholine Cytidylyltransferase 2 (PCYT2), and lower levels of Sirtuin 3 (SIRT3) compared to wild-type animals. Exercise training increased the protein content levels of SIRT1, HSL, and ATGL in both the wt-ex and PGC-1α trained groups. PGC-1α has a complex role in cellular signaling, including the upregulation of lipid metabolism-associated proteins. Our data reveals that although exercise training mimics the effects of PGC-1α overexpression, it incorporates some PGC-1α-independent adaptive mechanisms in fat uptake and cell signaling.
Keyphrases
- skeletal muscle
- insulin resistance
- resistance training
- nitric oxide synthase
- adipose tissue
- cell proliferation
- high intensity
- protein kinase
- wild type
- nitric oxide
- oxidative stress
- type diabetes
- signaling pathway
- fatty acid
- ischemia reperfusion injury
- clinical trial
- electronic health record
- body composition
- endothelial cells
- transcription factor
- mesenchymal stem cells
- small molecule
- heart rate
- pi k akt
- amino acid
- deep learning
- big data