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Large-scale molecular endotype discovery in synovial fluid reveals osteoarthritis as a single biological continuum

Abstract:
Knee osteoarthritis affects 40% of people during their lifetime, significantly impacting societies worldwide. Its molecular pathogenesis remains poorly understood and variable clinical phenotypes suggest it may be more than one disease. We established Synovial fluid To detect Endotypes by Unbiased Proteomics in OA (STEpUP OA) to search for molecular endotypes in knee OA synovial fluid, and to reveal key pathobiological pathways across 1361 individuals with knee OA. Using unsupervised clustering, a single cluster representing a biological continuum is observed, primarily driven by “Epithelial Mesenchymal Transition”. Distinct molecular endotypes are not detected. “Angiogenesis”, “Complement” and “Coagulation” are enriched for after stratification by clinical phenotype (obesity status, biological sex). Complement and coagulation are associated with the inflammatory marker, C-reactive protein. Associations with patient-reported knee pain are weaker. These findings support knee OA as a biological continuum, identify common and phenotype-enriched targetable pathways, and a rationale for stratification in clinical trial design.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences
Role:
Author
ORCID:
0000-0002-0499-3033
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-4994-2264
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences
Role:
Author
ORCID:
0000-0002-5371-7828


Publisher:
Nature Research
Journal:
Nature Communications More from this journal
Volume:
17
Issue:
1
Article number:
4721
Publication date:
2026-06-02
Acceptance date:
2026-03-11
DOI:
EISSN:
2041-1723
ISSN:
2041-1723


Language:
English
Source identifiers:
4106706
Deposit date:
2026-06-02
ARK identifier:
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