272
Views
4
CrossRef citations to date
0
Altmetric
Review

Synovium and cartilage biomarkers in hemophilic arthropathy

Pages 409-414 | Received 02 Dec 2015, Accepted 11 Jan 2016, Published online: 03 Feb 2016
 

ABSTRACT

Some promising cartilage and synovium biomarkers are at various stages of development and awaiting further validation in larger patient populations with osteoarthritis (OA). Various reports have shown increased levels of inflammatory biomarkers, both locally (synovial fluid) and systemically (serum and plasma) in such patients. The clinical value of these parameters in combination with imaging biomarkers in order to predict early onset and the burden of OA is being investigated. This review article aims to describe the potential usefulness of synovial and cartilage biomarkers for the diagnosis and prognosis of hemophilic arthropathy (HA) by using the existing literature on OA as an applicable model. A systematic review found that serum cartilage oligomeric matrix protein (sCOMP) is elevated in patients with knee OA and is sensitive to OA disease progression.

Financial & competing interests disclosure

The author has no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 435.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.