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Premature Aging in Skeletal Muscle Lacking Serum Response Factor

Overview of attention for article published in PLOS ONE, December 2008
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Title
Premature Aging in Skeletal Muscle Lacking Serum Response Factor
Published in
PLOS ONE, December 2008
DOI 10.1371/journal.pone.0003910
Pubmed ID
Authors

Charlotte Lahoute, Athanassia Sotiropoulos, Marilyne Favier, Isabelle Guillet-Deniau, Claude Charvet, Arnaud Ferry, Gillian Butler-Browne, Daniel Metzger, David Tuil, Dominique Daegelen

Abstract

Aging is associated with a progressive loss of muscle mass, increased adiposity and fibrosis that leads to sarcopenia. At the molecular level, muscle aging is known to alter the expression of a variety of genes but very little is known about the molecular effectors involved. SRF (Serum Response Factor) is a crucial transcription factor for muscle-specific gene expression and for post-natal skeletal muscle growth. To assess its role in adult skeletal muscle physiology, we developed a post-mitotic myofiber-specific and tamoxifen-inducible SRF knockout model. Five months after SRF loss, no obvious muscle phenotype was observed suggesting that SRF is not crucial for myofiber maintenance. However, mutant mice progressively developed IIB myofiber-specific atrophy accompanied by a metabolic switch towards a more oxidative phenotype, muscular lipid accumulation, sarcomere disorganization and fibrosis. After injury, mutant muscles exhibited an altered regeneration process, showing smaller regenerated fibers and persistent fibrosis. All of these features are strongly reminiscent of abnormalities encountered in aging skeletal muscle. Interestingly, we also observed an important age associated decrease in SRF expression in mice and human muscles. Altogether, these results suggest that a naturally occurring SRF down-regulation precedes and contributes to the muscle aging process. Indeed, triggering SRF loss in the muscles of mutant mice results in an accelerated aging process.

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Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
France 1 1%
Brazil 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 12 17%
Student > Master 12 17%
Professor > Associate Professor 7 10%
Student > Bachelor 6 8%
Other 16 22%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 35%
Biochemistry, Genetics and Molecular Biology 14 19%
Medicine and Dentistry 13 18%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Sports and Recreations 2 3%
Other 9 13%
Unknown 7 10%