ArticleRheumatology (Oxford, England)2021
Identification and characterization of two consistent osteoarthritis subtypes by transcriptome and clinical data integration.
Article in Rheumatology (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 35 citations in OpenAlex.
- Advances in heterogeneity and classification of osteoarthritis.Bone research · 2026Review
- A Multidimensional Definition of Pre-Osteoarthritis: Toward 21st-Century Subclinical Detection and Targeted Intervention.International journal of molecular sciences · 2025Review
- Towards stratification in osteoarthritis: a review of the scientific terminology used in published basic research.BMC rheumatology · 2025Review
- Pharmacist-Driven Chondroprotection in Osteoarthritis: A Multifaceted Approach Using Patient Education, Information Visualization, and Lifestyle Integration.Pharmacy (Basel, Switzerland) · 2025Review
- The role of DNA methylation in chondrogenesis of human iPSCs as a stable marker of cartilage quality.Clinical epigenetics · 2024Article
- Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integration.Annals of the rheumatic diseases · 2024Article
- Thyroid hormone induces ossification and terminal maturation in a preserved OA cartilage biomimetic model.Arthritis research & therapy · 2024Article
- Identified senescence endotypes in aged cartilage are reflected in the blood metabolome.GeroScience · 2024Article
- Specific-cytokine associations with outcomes in knee osteoarthritis subgroups: breaking down disease heterogeneity with phenotyping.Arthritis research & therapy · 2024Article
- Understanding interleukin 11 as a disease gene and therapeutic target.The Biochemical journal · 2023Review
- Metabolic and inflammatory profiles define phenotypes with clinical relevance in female knee osteoarthritis patients with joint effusion.Rheumatology (Oxford, England) · 2023Article
- Article
- MicroRNA Signatures in Cartilage Ageing and Osteoarthritis.Biomedicines · 2023Article
- N6-methyladenine regulator-mediated RNA methylation modification patterns in immune microenvironment regulation of osteoarthritis.Frontiers in genetics · 2023Article
- Applications of transcriptomics in support of drug development for osteoarthritis.Osteoarthritis and cartilage open · 2021Article
- The non-coding RNA interactome in joint health and disease.Nature reviews. Rheumatology · 2021Review
- Circulating MicroRNAs Highly Correlate to Expression of Cartilage Genes Potentially Reflecting OA Susceptibility-Towards Identification of Applicable Early OA Biomarkers.Biomolecules · 2021Article
- Elucidating mechano-pathology of osteoarthritis: transcriptome-wide differences in mechanically stressed aged human cartilage explants.Arthritis research & therapy · 2021Article
- Molecule-based osteoarthritis diagnosis comes of age.Annals of translational medicine · 2021Article
- RNA Sequencing Reveals Interacting Key Determinants of Osteoarthritis Acting in Subchondral Bone and Articular Cartilage: Identification of IL11 and CHADL as Attractive Treatment Targets.Arthritis & rheumatology (Hoboken, N.J.) · 2021Article
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Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveTo identify OA subtypes based on cartilage transcriptomic data in cartilage tissue and characterize their underlying pathophysiological processes and/or clinically relevant characteristics.
methodsThis study includes n = 66 primary OA patients (41 knees and 25 hips), who underwent a joint replacement surgery, from which macroscopically unaffected (preserved, n = 56) and lesioned (n = 45) OA articular cartilage were collected [Research Arthritis and Articular Cartilage (RAAK) study]. Unsupervised hierarchical clustering analysis on preserved cartilage transcriptome followed by clinical data integration was performed. Protein-protein interaction (PPI) followed by pathway enrichment analysis were done for genes significant differentially expressed between subgroups with interactions in the PPI network.
resultsAnalysis of preserved samples (n = 56) resulted in two OA subtypes with n = 41 (cluster A) and n = 15 (cluster B) patients. The transcriptomic profile of cluster B cartilage, relative to cluster A (DE-AB genes) showed among others a pronounced upregulation of multiple genes involved in chemokine pathways. Nevertheless, upon investigating the OA pathophysiology in cluster B patients as reflected by differentially expressed genes between preserved and lesioned OA cartilage (DE-OA-B genes), the chemokine genes were significantly downregulated with OA pathophysiology. Upon integrating radiographic OA data, we showed that the OA phenotype among cluster B patients, relative to cluster A, may be characterized by higher joint space narrowing (JSN) scores and low osteophyte (OP) scores.
conclusionBased on whole-transcriptome profiling, we identified two robust OA subtypes characterized by unique OA, pathophysiological processes in cartilage as well as a clinical phenotype. We advocate that further characterization, confirmation and clinical data integration is a prerequisite to allow for development of treatments towards personalized care with concurrently more effective treatment response.
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