Title |
PGC-1α modulates necrosis, inflammatory response, and fibrotic tissue formation in injured skeletal muscle
|
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Published in |
Skeletal Muscle, November 2016
|
DOI | 10.1186/s13395-016-0110-x |
Pubmed ID | |
Authors |
Ivana Dinulovic, Regula Furrer, Sabrina Di Fulvio, Arnaud Ferry, Markus Beer, Christoph Handschin |
Abstract |
Skeletal muscle tissue has an enormous regenerative capacity that is instrumental for a successful defense against muscle injury and wasting. The peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α) exerts therapeutic effects in several muscle pathologies, but its role in damage-induced muscle regeneration is unclear. Using muscle-specific gain- and loss-of-function models for PGC-1α in combination with the myotoxic agent cardiotoxin (CTX), we explored the role of this transcriptional coactivator in muscle damage and inflammation. Interestingly, we observed PGC-1α-dependent effects at the early stages of regeneration, in particular regarding macrophage accumulation and polarization from the pro-inflammatory M1 to the anti-inflammatory M2 type, a faster resolution of necrosis and protection against the development of fibrosis after multiple CTX-induced injuries. PGC-1α exerts beneficial effects on muscle inflammation that might contribute to the therapeutic effects of elevated muscle PGC-1α in different models of muscle wasting. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 50% |
Switzerland | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 2% |
Unknown | 51 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 10 | 19% |
Student > Ph. D. Student | 10 | 19% |
Student > Master | 6 | 12% |
Researcher | 6 | 12% |
Student > Doctoral Student | 4 | 8% |
Other | 4 | 8% |
Unknown | 12 | 23% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 17 | 33% |
Agricultural and Biological Sciences | 7 | 13% |
Medicine and Dentistry | 5 | 10% |
Neuroscience | 3 | 6% |
Immunology and Microbiology | 1 | 2% |
Other | 6 | 12% |
Unknown | 13 | 25% |