Cartilage Oligomeric Matrix Protein (COMP): A Biomarker of Arthritis
Open accessAbstract
Arthritis is a chronic disease with a significant impact on the population. It damages the cartilage, synovium, and bone of the joints causing pain, impairment, and disability in patients. Current methods for diagnosis of and monitoring the disease are only able to detect clinical manifestations of arthritis late in the process. However, with the recent onset of successful treatments for rheumatoid arthritis and osteoarthritis, it becomes important to identify prognostic factors that can predict the evolution of arthritis. This is especially critical in the early phases of disease so that these treatments can be started as soon as possible to slow down progression of the disease. A valuable approach to monitor arthritis would be by measuring biological markers of cartilage degradation and repair to reflect variations in joint remodeling. One such potential biological marker of arthritis is cartilage oligomeric matrix protein (COMP). In various studies, COMP has shown promise as a diagnostic and prognostic indicator and as a marker of the disease severity and the effect of treatment. This review highlights the progress in the utilization of COMP as a biomarker of arthritis.
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COMP correlates with age, BMI, pain, and IL-1β, shows gender differences, and has negative associations with disease duration.
“correlates with age, BMI, pain, and IL-1β, gender differences, and has negative associations with disease duration [27].”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [27]
The Biological Variations of COMP section (page unavailable) reports associations of serum COMP with age and BMI, a lower-limb pain score in OA patients, and gender differences. Our copy does not report a correlation with IL-1β or a negative association with disease duration; searches for those terms found no supporting passage. (LLM, conf=0.88)
Experimental — accuracy not yet measuredCOMP is released into blood during cartilage turnover and displays increased levels in OA patients.
“Released into blood during cartilage turnover, it displays increased levels in OA patients”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [27]
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“Released into blood during cartilage turnover, it displays increased levels in OA patients, correlates with age, BMI, pain, and IL-1 β , gender differences, and has negative associations with disease duration [27].”
- Authors
- Tseng, S., Reddi, A. H., & Di Cesare, P. E.
- Affiliations
- University of California Davis Medical Center (US)
- Department of Orthopaedic Surgery, UC Davis Medical Center, Sacramento, California, 95817, U.S.A.
- ORCID
- Reddi, A. Hari
- Venue
- Biomarker Insights
- Publisher
- SAGE Publications
- Published
- 2009-01
- Volume
- 4
- Pages
- BMI.S645
- ISSN
- 1177-2719 (ISSN-L)
- PMC
- PMC2716683
- OpenAlex
- W1523661940
- Cited by
- 204
- References
- 0
- Citations by year
- 2026: 14 · 2025: 11 · 2024: 11 · 2023: 15 · 2022: 22 · 2021: 18 · 2020: 10 · 2019: 8 · 2018: 10 · 2017: 15 · 2016: 8 · 2015: 16 · 2014: 12 · 2013: 11 · 2012: 8
- FWCI
- 5.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Biomarker Insights (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Rheumatology › Osteoarthritis Treatment and Mechanisms
- Health Sciences › Medicine › Rheumatology › Rheumatoid Arthritis Research and Therapies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Proteoglycans and glycosaminoglycans research
- Keywords
- cartilage oligomeric matrix protein, COMP, arthritis, biomarkers, rheumatoid arthritis, osteoarthritis, cartilage degeneration, cartilage repair, disease severity, treatment response monitoring, prognosis
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