Cited by 56Osteoarthritis Treatment and MechanismsProteoglycans and glycosaminoglycans researchRheumatoid Arthritis Research and Therapies

Development and use of biochemical markers in osteoarthritis: current update

Bay-Jensen, Anne C., Thudium, Christian S., Mobasheri, Ali·2018·Current Opinion in Rheumatology

Abstract

Purpose of review There is an increasing demand for noninvasive and descriptive biochemical markers (biomarkers) in osteoarthritis; for enabling early drug development (including translational research), evaluating clinical trial at an early stage and for subtyping. Purpose of the review is to review and comment on current availability of such biomarkers. Recent findings Many different biomarkers have been tested in the last 18 months. The main focus has been on testing whether the biomarkers, whether is reflect joint tissue turnover or inflammatory status, can differentiate osteoarthritis patients from healthy controls or whether the biomarkers are associated with progression. Less than a handful of studies, investigate the role of the biomarkers as response markers. Thus, there is still a great need for developing biomarkers that reflect disease activity and thereby can be used for treatment response or patient phenotyping. Summary Osteoarthritis is the most common form of joint disease. This presents the osteoarthritis research community and pharmaceutical companies developing disease-modifying osteoarthritis drugs (DMOADs) with great opportunities. There are different osteoarthritis subtypes, which complicates the traditional approaches for developing new treatments. If we can identify new markers that can distinguish different subtypes, this can greatly facilitate drug development from early discovery to late clinical development.

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Crossref · 10.1097/bor.0000000000000467

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3 of 3 references verified0 citation errors · 0 not checkable

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  • Biomarker rate of change often predicts outcomes better than static measurements.

    “with findings indicating that biomarker rate of change often predicts outcomes better than static measurements [161].”
  • Longitudinal biomarker studies track molecular changes over time through repeated sampling, using advanced statistical models like mixed-effects modeling and trajectory analysis to capture dynamic patterns related to disease progression and treatment response.

    “Longitudinal biomarker studies track molecular changes over time through repeated sampling, using advanced statistical models like mixed-effects modeling and trajectory analysis to capture dynamic patterns related to disease progression and treatment response”

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Authors
Bay-Jensen, A. C., Thudium, C. S., & Mobasheri, A.
Affiliations
  • Rheumatology, Biomarkers and Research, Nordic Bioscience A/S, Herlev, Denmark
  • Nordic Bioscience (Denmark) (DK)
  • University of Surrey (GB)
Venue
Current Opinion in Rheumatology
Published
2018-01
Volume
30
Issue
1
Pages
121-128
ISSN
  • 1040-8711 (ISSN-L)
  • 1531-6963
OpenAlex
W2765753931
Cited by
56
References
3
Citations by year
2026: 2 · 2025: 6 · 2024: 4 · 2023: 9 · 2022: 6 · 2021: 12 · 2020: 6 · 2019: 8 · 2018: 3
FWCI
0.75
Type
journal article
Language
en
Open access
closed
Locations
  • Current Opinion in Rheumatology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Rheumatology › Osteoarthritis Treatment and Mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Proteoglycans and glycosaminoglycans research
  • Health Sciences › Medicine › Rheumatology › Rheumatoid Arthritis Research and Therapies
Keywords
osteoarthritis, biochemical markers, disease-modifying osteoarthritis drugs, disease activity, treatment response biomarkers, inflammation, disease progression, patient phenotyping
MeSH terms
Bone Resorption, Cartilage, Articular, Fibrosis, Humans, Inflammation, Osteoarthritis, Synovial Membrane, Synovitis, Biomarkers, Disease Progression

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