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Impaired Adaptive Response to Mechanical Overloading in Dystrophic Skeletal Muscle

Overview of attention for article published in PLOS ONE, April 2012
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Title
Impaired Adaptive Response to Mechanical Overloading in Dystrophic Skeletal Muscle
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035346
Pubmed ID
Authors

Pierre Joanne, Christophe Hourdé, Julien Ochala, Yvain Caudéran, Fadia Medja, Alban Vignaud, Etienne Mouisel, Wahiba Hadj-Said, Ludovic Arandel, Luis Garcia, Aurélie Goyenvalle, Rémi Mounier, Daria Zibroba, Kei Sakamato, Gillian Butler-Browne, Onnik Agbulut, Arnaud Ferry

Abstract

Dystrophin contributes to force transmission and has a protein-scaffolding role for a variety of signaling complexes in skeletal muscle. In the present study, we tested the hypothesis that the muscle adaptive response following mechanical overloading (ML) would be decreased in MDX dystrophic muscle lacking dystrophin. We found that the gains in muscle maximal force production and fatigue resistance in response to ML were both reduced in MDX mice as compared to healthy mice. MDX muscle also exhibited decreased cellular and molecular muscle remodeling (hypertrophy and promotion of slower/oxidative fiber type) in response to ML, and altered intracellular signalings involved in muscle growth and maintenance (mTOR, myostatin, follistatin, AMPKα1, REDD1, atrogin-1, Bnip3). Moreover, dystrophin rescue via exon skipping restored the adaptive response to ML. Therefore our results demonstrate that the adaptive response in response to ML is impaired in dystrophic MDX muscle, most likely because of the dystrophin crucial role.

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The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Canada 1 2%
Brazil 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 8 17%
Student > Master 5 11%
Other 5 11%
Professor > Associate Professor 4 9%
Other 9 20%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 41%
Biochemistry, Genetics and Molecular Biology 7 15%
Medicine and Dentistry 7 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Computer Science 1 2%
Other 4 9%
Unknown 7 15%