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Antibody-based exosite inhibitors of ADAMTS-5 (aggrecanase-2)

Overview of attention for article published in Biochemical Journal, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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3 X users
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13 patents
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1 Facebook page

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55 Mendeley
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Article details
Title
Antibody-based exosite inhibitors of ADAMTS-5 (aggrecanase-2)
Published in
Biochemical Journal, October 2015
DOI 10.1042/bj20150758
Pubmed ID
Authors
Abstract

ADAMTS-5 is the multi-domain metalloprotease that most potently degrades aggrecan proteoglycan in the cartilage and its activity is implicated in the development of osteoarthritis. To generate specific exosite inhibitors for it, we screened a phage display antibody library in the presence of the zinc-chelating active site-directed inhibitor GM6001 and isolated four highly selective inhibitory antibodies. Two antibodies were mapped to react with exosites in the catalytic/disintegrin domains of the enzyme, one in the thrombospondin domain, and one in the spacer domain. The antibody reacting with the spacer (Sp) domain blocked the enzyme action only when aggrecan or the E. coli -expressed aggrecan core protein were substrates, but not against a peptide substrate. The study with this antibody revealed the importance of the spacer domain for effective aggrecanolytic activity of ADAMTS-5, and that this domain does not interact with sulfated glycosaminoglycans but with the protein moiety of the proteoglycan. An antibody directed against the catalytic/disintegrin domain of ADAMTS-5 was effective in a cell-based model of aggrecan degradation; however, the anti-Sp antibody was ineffective. Western blot analysis of endogenous ADAMTS-5 expressed by human chondrocytes showed the presence of largely of truncated forms of ADAMTS-5, thus explaining the lack of efficacy of the anti-Sp antibody. The possibility of ADAMTS-5 truncation must then be taken into account when considering developing anti-ancillary domain antibodies for therapeutic purposes.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 55 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 %
Italy 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 11 20%
Other 3 5%
Student > Master 3 5%
Professor > Associate Professor 3 5%
Other 8 15%
Unknown 16 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 27%
Agricultural and Biological Sciences 8 15%
Medicine and Dentistry 5 9%
Immunology and Microbiology 3 5%
Neuroscience 2 4%
Other 6 11%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 01 August 2026.
All research outputs
#2,343,460
of 33,779,198 outputs
Outputs from Biochemical Journal
#195
of 16,362 outputs
Outputs of similar age
#25,722
of 315,183 outputs
Outputs of similar age from Biochemical Journal
#3
of 75 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,362 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 98% 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 315,183 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.