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Molecular signatures of age-associated chronic degeneration of shoulder muscles

Overview of attention for article published in Oncotarget, February 2016
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Title
Molecular signatures of age-associated chronic degeneration of shoulder muscles
Published in
Oncotarget, February 2016
DOI 10.18632/oncotarget.7382
Pubmed ID
Authors

Yotam Raz, Jan Ferdinand Henseler, Arjen Kolk, Zuotian Tatum, Niels Kuipers Groosjohan, Nisha E. Verwey, Wibowo Arindrarto, Szymon M. Kielbasa, Jochem Nagels, Peter A. C. 't Hoen, Rob G. H. H. Nelissen, Vered Raz

Abstract

Chronic muscle diseases are highly prevalent in the elderly causing severe mobility limitations, pain and frailty. The intrinsic molecular mechanisms are poorly understood due to multifactorial causes, slow progression with age and variations between individuals. Understanding the underlying molecular mechanisms could lead to new treatment options which are currently limited. Shoulder complaints are highly common in the elderly, and therefore, muscles of the shoulder's rotator cuff could be considered as a model for chronic age-associated muscle degeneration. Diseased shoulder muscles were characterized by muscle atrophy and fatty infiltration compared with unaffected shoulder muscles. We confirmed fatty infiltration using histochemical analysis. Additionally, fibrosis and loss of contractile myosin expression were found in diseased muscles. Most cellular features, including proliferation rate, apoptosis and cell senescence, remained unchanged and genome-wide molecular signatures were predominantly similar between diseased and intact muscles. However, we found down-regulation of a small subset of muscle function genes, and up-regulation of extracellular region genes. Myogenesis was defected in muscle cell culture from diseased muscles but was restored by elevating MyoD levels. We suggest that impaired muscle functionality in a specific environment of thickened extra-cellular matrix is crucial for the development of chronic age-associated muscle degeneration.

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Mendeley readers

Mendeley readers

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 %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Researcher 5 11%
Student > Bachelor 5 11%
Student > Master 5 11%
Student > Postgraduate 4 9%
Other 10 22%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 14 30%
Nursing and Health Professions 8 17%
Biochemistry, Genetics and Molecular Biology 3 7%
Engineering 3 7%
Sports and Recreations 2 4%
Other 2 4%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 June 2019.
All research outputs
#18,441,836
of 22,849,304 outputs
Outputs from Oncotarget
#8,440
of 14,324 outputs
Outputs of similar age
#291,399
of 401,576 outputs
Outputs of similar age from Oncotarget
#690
of 1,116 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,324 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,116 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.