Synovial transcriptional clusters link cartilage degeneration to cell-type-specific gene expression in knee osteoarthritis

Objectives: To identify synovial transcriptional clusters in human knee osteoarthritis (OA) and determine how these relate to synovial histologic features, cell-type-associated gene expression, and cartilage degeneration severity. Methods: Bulk RNA sequencing (RNA-seq) of synovial tissue from n = 135 patients with knee OA was analyzed using consensus clustering. Clusters were compared by clinical and histologic features, including cartilage degeneration severity (OARSI score). Single-cell RNA-seq (n = 18) and spatial transcriptomics were used to relate cartilage degeneration-associated gene expression patterns to synovial cell populations. Results: Four synovial transcriptional clusters that differed in synovial histologic features and cartilage degeneration severity were identified. Greater cartilage degeneration was associated with enrichment of lining fibroblast- and inflammatory myeloid-associated gene expression, whereas lesser cartilage degeneration was associated with enrichment of sublining fibroblast, endothelial, mural cell, and adipocyte-associated gene expression. Conclusions: Human knee OA synovium segregates into transcriptional clusters associated with cartilage degeneration severity. Synovial transcriptional heterogeneity corresponds to cell-type-associated gene expression. Key messages: Provides a framework for a clinically relevant biological stratification of OA patients based on synovial molecular features.Informs future efforts to link synovial biology with OA prognosis, cartilage degeneration, treatment allocation, and development of targeted therapeutic strategies.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-04-24
DOI
https://doi.org/10.64898/2026.04.21.719697
Primary Topic
Osteoarthritis Treatment and Mechanisms
Type
article
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article

Synovial transcriptional clusters link cartilage degeneration to cell-type-specific gene expression in knee osteoarthritis

Tristan Maerz, Ruoxi Yuan, William H. Robinson, Eun Kyung Song et al.
bioRxiv (Cold Spring Harbor Laboratory)
Osteoarthritis Treatment and Mechanisms
article

Synovial transcriptional clusters link cartilage degeneration to cell-type-specific gene expression in knee osteoarthritis

Tristan Maerz, Ruoxi Yuan, William H. Robinson, Eun Kyung Song, Caryn Hale, Bella Mehta, Michael Mazzucco, Robert B. Darnell, Dana E. Orange, Mengrui Zhang, Xiaoshun Li, Rachel E. Miller, Jenelys Ruiz-Ortiz, Purva Singh, Shady Younis, Fuadur Omi, Edward DiCarlo, Martin Lotz, Daniel Ramirez, Peter Sculco, Jose Rodriguez, YiYuan Wu, Wei Wang, Miguel Otero, Thomas Carroll, Samantha Lessard, Anne-Marie Malfait
article en

Abstract

Objectives: To identify synovial transcriptional clusters in human knee osteoarthritis (OA) and determine how these relate to synovial histologic features, cell-type-associated gene expression, and cartilage degeneration severity. Methods: Bulk RNA sequencing (RNA-seq) of synovial tissue from n = 135 patients with knee OA was analyzed using consensus clustering. Clusters were compared by clinical and histologic features, including cartilage degeneration severity (OARSI score). Single-cell RNA-seq (n = 18) and spatial transcriptomics were used to relate cartilage degeneration-associated gene expression patterns to synovial cell populations. Results: Four synovial transcriptional clusters that differed in synovial histologic features and cartilage degeneration severity were identified. Greater cartilage degeneration was associated with enrichment of lining fibroblast- and inflammatory myeloid-associated gene expression, whereas lesser cartilage degeneration was associated with enrichment of sublining fibroblast, endothelial, mural cell, and adipocyte-associated gene expression. Conclusions: Human knee OA synovium segregates into transcriptional clusters associated with cartilage degeneration severity. Synovial transcriptional heterogeneity corresponds to cell-type-associated gene expression. Key messages: Provides a framework for a clinically relevant biological stratification of OA patients based on synovial molecular features.Informs future efforts to link synovial biology with OA prognosis, cartilage degeneration, treatment allocation, and development of targeted therapeutic strategies.

bioRxiv (Cold Spring Harbor Laboratory)
Hospital for Special Surgery (US), Rush University Medical Center (US), Howard Hughes Medical Institute (US), Scripps Institution of Oceanography (US), Cornell University (US), University of Michigan (US), Tri-Institutional PhD Program in Chemical Biology (US), Scripps (United States) (US), Weill Cornell Medicine (US), Rockefeller University (US), Stanford University (US)
Good health and well-being
Openalex Percentile: Top 14%
Osteoarthritis Treatment and Mechanisms
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