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Skeletal muscle atrophy: disease-induced mechanisms may mask disuse atrophy

Overview of attention for article published in Journal of Muscle Research and Cell Motility, January 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)

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119 Mendeley
Title
Skeletal muscle atrophy: disease-induced mechanisms may mask disuse atrophy
Published in
Journal of Muscle Research and Cell Motility, January 2016
DOI 10.1007/s10974-015-9439-8
Pubmed ID
Authors

C. J. Malavaki, G. K. Sakkas, G. I. Mitrou, A. Kalyva, I. Stefanidis, K. H. Myburgh, C. Karatzaferi

Abstract

Disuse atrophy is the loss of skeletal muscle mass due to inactivity or lower than 'normal' use. It is not only a furtive component of the 'modern' sedentary lifestyle but also a part of numerous pathologies, where muscle loss is linked to disease specific and/or other toxicity factors, eventually leading to wasting (cachexia). Whether disuse-or-disease induced, muscle loss leads to weakness and metabolic comorbidities with a high societal and financial cost. This review discusses the intricate network of interacting signalling pathways including Atrogin-1/MAFbx, IGF1-Akt, myostatin, glucocorticoids, NF-kB, MAPKs and caspases that seem to regulate disuse atrophy but also share common activation patterns in other states of muscle loss such as sarcopenia or cachexia. Reactive oxygen species are also important regulators of cell signalling pathways that can accelerate proteolysis and depress protein synthesis. Exercise is an effective countermeasure and antioxidants may show some benefit. We discuss how the experimental model used can crucially affect the outcome and hence our understanding of atrophy. Timing of sampling is crucial as some signalling mechanisms reach their peak early during the atrophy process to rapidly decline thereafter, while other present high levels even weeks and months after study initiation. The importance of such differences lays in future consideration of appropriate treatment targets. Apart from attempting to correct defective genes or negate their effects, technological advances in new rational ways should aim to regulate specific gene expression at precise time points for the treatment of muscle atrophy in therapeutic protocols depending on the origin of atrophy induction.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 118 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 14%
Student > Master 17 14%
Student > Bachelor 14 12%
Researcher 11 9%
Student > Postgraduate 8 7%
Other 23 19%
Unknown 29 24%
Readers by discipline Count As %
Medicine and Dentistry 20 17%
Biochemistry, Genetics and Molecular Biology 18 15%
Nursing and Health Professions 14 12%
Agricultural and Biological Sciences 8 7%
Sports and Recreations 8 7%
Other 16 13%
Unknown 35 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2016.
All research outputs
#7,225,652
of 22,837,982 outputs
Outputs from Journal of Muscle Research and Cell Motility
#65
of 295 outputs
Outputs of similar age
#117,802
of 393,291 outputs
Outputs of similar age from Journal of Muscle Research and Cell Motility
#3
of 4 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 295 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,291 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.