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Aggrecanase degradation of type III collagen is associated with clinical knee pain

Overview of attention for article published in Clinical Biochemistry, April 2018
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Article details
Title
Aggrecanase degradation of type III collagen is associated with clinical knee pain
Published in
Clinical Biochemistry, April 2018
DOI 10.1016/j.clinbiochem.2018.04.022
Pubmed ID
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Abstract

There is a lack of biochemical markers for non-invasive and objective assessment of symptomatic osteoarthritis (OA). Aggrecanase activity has been shown to be associated with joint deterioration and symptomatic disease through the degradation of extracellular matrix proteins, such as type III collagen. Our study aimed to identify and develop a novel biomarker by measuring an aggrecanase-mediated type III collagen neoepitope, and correlate levels of this biomarker with OA joint pain. Mass spectrometric analysis of purified type III collagen, degraded by the aggrecanase A Disintigrin and Metalloproteinase with Thrombospondin motif (ADAMTS), revealed a fragment generated by ADAMTS-1, -4 and -8. A monoclonal antibody was raised against the neoepitope of this fragment (COL3-ADAMTS) and a competitive ELISA was developed and tested; using serum samples from a cross-sectional cohort of patients with different degrees of knee OA (n = 261). The COL3/ADAMTS ELISA was technically robust and specific for the ADAMTS-1, -4 and -8 generated neoepitope. COL3/ADAMTS was released form cytokine stimulated synovial cultures, indicating a biologic link between the marker and synovium. In OA patients, serum COL3/ADAMTS was independently associated with pain scores (rho = -0.13-0.17, p < 0.05). This association was associated significantly with the presence of radiographic OA. Together, these data indicate that COL3/ADAMTS could be a marker of early osteoarthritis and the underlining pathology.

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The data shown below were compiled from readership statistics for 71 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 71 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 17 24%
Student > Master 7 10%
Student > Bachelor 6 8%
Student > Ph. D. Student 6 8%
Professor 5 7%
Other 13 18%
Unknown 17 24%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 18%
Biochemistry, Genetics and Molecular Biology 7 10%
Immunology and Microbiology 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Nursing and Health Professions 4 6%
Other 12 17%
Unknown 24 34%
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 26 April 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Clinical Biochemistry
#1,595
of 2,317 outputs
Outputs of similar age
#265,378
of 339,757 outputs
Outputs of similar age from Clinical Biochemistry
#31
of 68 outputs
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So far Altmetric has tracked 2,317 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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