Biological markers in osteoarthritis
Abstract
Osteoarthritis (OA) is a progressive disorder characterized by destruction of articular cartilage and subchondral bone, and by synovial changes. The diagnosis of OA is generally based on clinical and radiographic changes, which occur fairly late during disease progression and have poor sensitivity for monitoring disease progression. Progression of joint damage is likely to result primarily from an imbalance between cartilage degradation and repair, so measuring markers of these processes would seem a promising approach to improve the prediction of disease progression at the individual level. Moreover, genetic markers might be useful predictors of prognosis. The lack of fully effective, chondroprotective medications has limited the use of such potential markers to monitor the effect of treatment for OA. Nevertheless, owing to their dynamic changes in response to treatment, biological markers might provide relevant information more rapidly than imaging techniques (such as radiography and MRI) can, and should contribute to our understanding of mechanisms that underlie the clinical efficacy of OA treatments. Most of the identified genes involved in OA encode signal-transduction proteins, which provide the potential for novel therapeutic approaches. In this Review, we will use the recently proposed BIPED (i.e. burden of disease, investigative, prognostic, efficacy of intervention and diagnostic) classification of OA markers to describe the potential usage of a given marker.
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Inter-laboratory standardization and age/sex/ethnicity-stratified reference ranges remain challenges for broad adoption of CTX-II and COMP.
“Though inter-laboratory standardization and age/sex/ethnicity-stratified reference ranges remain challenges for broad adoption”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [30]
Cites
Garnero, P., Piperno, M., Gineyts, E., Christgau, S., Delmas, P. D., & Vignon, E. (2001) · Annals of the Rheumatic Diseases · doi:10.1136/ard.60.6.619 · Cited by 475 · see citing works
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Goldring, M. B., & Goldring, S. R. (2007) · Journal of Cellular Physiology · doi:10.1002/jcp.21258 · Cited by 1,179 · see citing works
Application of biomarkers in the development of drugs intended for the treatment of osteoarthritis
Kraus, V. B., Burnett, B., Coindreau, J., Cottrell, S., Eyre, D., Gendreau, M., Gardiner, J., Garnero, P., Hardin, J., Henrotin, Y., et al. (2011) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2010.08.019 · Cited by 328 · see citing works
Self-citationBiomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease
Kumar, R., Sporn, K., Borole, A., Khanna, A., Gowda, C., Paladugu, P., Ngo, A., Jagadeesan, R., Zaman, N., & Tavakkoli, A. (2025) · Diagnostics · doi:10.3390/diagnostics15111418 · Cited by 10 · see citing works
“…urine sampling for CTX-II (normalized to creatinine), serum preference for COMP due to repeatability, and control of preanalytical variables (fasting, activity, handling)—with multiplex immunoassays and mass spectrometry enhancing sensitivity and throughput—have clear importance [28–30].”
- Authors
- Rousseau, J.-C., & Delmas, P. D.
- Affiliations
- Inserm (FR)
- Lyon 1 Université (FR)
- Corresponding author
- Rousseau, Jean-Charles
- Venue
- Nature Clinical Practice Rheumatology
- Published
- 2007-06
- Volume
- 3
- Issue
- 6
- Pages
- 346-356
- ISSN
- 1745-8382 (ISSN-L)
- 1745-8390
- OpenAlex
- W2014041075
- Cited by
- 237
- References
- 1
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 5 · 2023: 2 · 2022: 4 · 2021: 8 · 2020: 11 · 2019: 16 · 2018: 16 · 2017: 20 · 2016: 14 · 2015: 13 · 2014: 21 · 2013: 12 · 2012: 11
- FWCI
- 2.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Clinical Practice Rheumatology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Rheumatology › Osteoarthritis Treatment and Mechanisms
- Health Sciences › Medicine › Surgery › Hip disorders and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Proteoglycans and glycosaminoglycans research
- Keywords
- osteoarthritis, biomarkers, disease progression, cartilage degeneration, cartilage repair, subchondral bone, genetic markers, prognosis, treatment monitoring, signal transduction proteins, chondroprotection
- MeSH terms
- Bone and Bones, Cartilage, Humans, Osteoarthritis, Severity of Illness Index, Synovial Membrane, Biomarkers
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