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MicroRNAs Associated with Shoulder Tendon Matrisome Disorganization in Glenohumeral Arthritis

Overview of attention for article published in PLOS ONE, December 2016
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Article details
Title
MicroRNAs Associated with Shoulder Tendon Matrisome Disorganization in Glenohumeral Arthritis
Published in
PLOS ONE, December 2016
DOI 10.1371/journal.pone.0168077
Pubmed ID
Authors
Abstract

The extracellular matrix (ECM) provides core support which is essential for the cell and tissue architectural development. The role of ECM in many pathological conditions has been well established and ECM-related abnormalities leading to serious consequences have been identified. Though much has been explored in regards to the role of ECM in soft tissue associated pathologies, very little is known about its role in inflammatory disorders in tendon. In this study, we performed microRNA (miRNA) expression analysis in the long head of the human shoulder biceps tendon to identify key genes whose expression was altered during inflammation in patients with glenohumeral arthritis. We identified differential regulation of matrix metalloproteinases (MMPs) that could be critical in collagen type replacement during tendinopathy. The miRNA profiling showed consistent results between the groups and revealed significant changes in the expression of seven different miRNAs in the inflamed tendons. Interestingly, all of these seven miRNAs were previously reported to have either a direct or indirect role in regulating the ECM organization in other pathological disorders. In addition, these miRNAs were also found to alter the expression levels of MMPs, which are the key matrix degrading enzymes associated with ECM-related abnormalities and pathologies. To our knowledge, this is the first report which identifies specific miRNAs associated with inflammation and the matrix reorganization in the tendons. Furthermore, the findings also support the potential role of these miRNAs in altering the collagen type ratio in the tendons during inflammation which is accompanied with differential expression of MMPs.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 7 18%
Student > Doctoral Student 3 8%
Student > Postgraduate 3 8%
Unspecified 2 5%
Other 7 18%
Unknown 10 26%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 10 26%
Nursing and Health Professions 6 15%
Biochemistry, Genetics and Molecular Biology 3 8%
Unspecified 2 5%
Sports and Recreations 2 5%
Other 4 10%
Unknown 12 31%
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 16 December 2016.
All research outputs
#20,365,559
of 22,914,829 outputs
Outputs from PLOS ONE
#174,461
of 195,377 outputs
Outputs of similar age
#355,155
of 420,952 outputs
Outputs of similar age from PLOS ONE
#3,479
of 3,977 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 195,377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 420,952 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,977 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.