Application of biomarkers in the development of drugs intended for the treatment of osteoarthritis
Open accessAbstract
OBJECTIVE: Osteoarthritis (OA) is a chronic and slowly progressive disease for which biomarkers may be able to provide a more rapid indication of therapeutic responses to therapy than is currently available; this could accelerate and facilitate OA drug discovery and development programs. The goal of this document is to provide a summary and guide to the application of in vitro (biochemical and other soluble) biomarkers in the development of drugs for OA and to outline and stimulate a research agenda that will further this goal. METHODS: The Biomarkers Working Group representing experts in the field of OA biomarker research from both academia and industry developed this consensus document between 2007 and 2009 at the behest of the Osteoarthritis Research Society International Federal Drug Administration initiative (OARSI FDA initiative). RESULTS: This document summarizes definitions and classification systems for biomarkers, the current outcome measures used in OA clinical trials, applications and potential utility of biomarkers for development of OA therapeutics, the current state of qualification of OA-related biomarkers, pathways for biomarker qualification, critical needs to advance the use of biomarkers for drug development, recommendations regarding practices and clinical trials, and a research agenda to advance the science of OA-related biomarkers. CONCLUSIONS: Although many OA-related biomarkers are currently available they exist in various states of qualification and validation. The biomarkers that are likely to have the earliest beneficial impact on clinical trials fall into two general categories, those that will allow targeting of subjects most likely to either respond and/or progress (prognostic value) within a reasonable and manageable time frame for a clinical study (for instance within 1-2 years for an OA trial), and those that provide early feedback for preclinical decision-making and for trial organizers that a drug is having the desired biochemical effect. As in vitro biomarkers are increasingly investigated in the context of specific drug treatments, advances in the field can be expected that will lead to rapid expansion of the list of available biomarkers with increasing understanding of the molecular processes that they represent.
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An integrated framework synthesizing circulating biomarkers, synovial fluid analysis, quantitative imaging parameters, and clinical evaluation can enable clinicians to detect disease earlier, stratify patients by disease subtypes, predict progression trajectories, and monitor therapeutic responses with greater precision.
“By synthesizing information from circulating biomarkers, synovial fluid analysis, quantitative imaging parameters, and clinical evaluation, an integrated framework can help facilitate holistic orthopedic care and enable clinicians to detect disease earlier, stratify patients according to disease subtypes, predict progression trajectories, and monitor therapeutic responses with greater precision [9”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [10]
Section 3.5 (Diagnostic) describes potential early detection and identification of OA subtypes; section 3.3 (Prognostic) describes predicting progression and treatment response. Section 6.1 (General Overview) suggests that combining biomarkers with imaging may eventually inform patient diagnosis, treatment, and monitoring. The paper does not establish that an integrated framework using all four named inputs already enables clinicians to deliver these benefits with greater precision; it presents these applications largely as prospective, particularly in the context of drug development. (LLM, conf=0.84)
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2 of the 129 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
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Self-citationAnimal Models of Osteoarthritis
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- Authors
- Kraus, V. B., Burnett, B., Coindreau, J., Cottrell, S., Eyre, D., Gendreau, M., Gardiner, J., Garnero, P., Hardin, J., Henrotin, Y., Heinegård, D., Ko, A., Lohmander, L. S., Matthews, G., Menetski, J., Moskowitz, R., Persiani, S., Poole, A. R., Rousseau, J.-C., & Todman, M.
- Affiliations
- Duke Medical Center (US)
- Duke University (US)
- Amgen (United States) (US)
- University of Washington (US)
- Wyeth (US)
- Inserm (FR)
- Albert Einstein College of Medicine (US)
- University of Liège (BE)
- Lund University (SE)
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- Case Western Reserve University (US)
- McGill University (CA)
- Hospices Civils de Lyon (FR)
- Smith & Nephew (United Kingdom) (GB)
- Corresponding author
- Kraus, V.B.
- Venue
- Osteoarthritis and Cartilage
- Publisher
- Elsevier BV
- Published
- 2011-05
- Volume
- 19
- Issue
- 5
- Pages
- 515-542
- ISSN
- 1063-4584 (ISSN-L)
- PMC
- PMC3568396
- OpenAlex
- W2059670411
- Cited by
- 328
- References
- 129
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 17 · 2023: 17 · 2022: 23 · 2021: 23 · 2020: 15 · 2019: 20 · 2018: 13 · 2017: 23 · 2016: 24 · 2015: 35 · 2014: 25 · 2013: 26 · 2012: 24
- FWCI
- 19.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Osteoarthritis and Cartilage (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Lund University Publications (Lund University) (submittedVersion, other-oa)
- ORBi (University of Liège) (submittedVersion)
- Funders
- National Institute on Aging (P30AG028716)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (AR 50245, P01AR050245)
- National Center for Research Resources (UL1RR024128)
- Topics
- Health Sciences › Medicine › Rheumatology › Osteoarthritis Treatment and Mechanisms
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Health Sciences › Medicine › Pharmacology › Pharmacological Effects of Medicinal Plants
- Keywords
- osteoarthritis, biomarkers, drug development, biomarker qualification, prognostic factors, treatment response monitoring, clinical trial outcome measures, drug discovery
- MeSH terms
- Clinical Trials as Topic, Humans, Osteoarthritis, Specimen Handling, Biomarkers, Treatment Outcome, Drug Monitoring, Drug Discovery
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