ReviewCartilage2026
Synovial Fluid Proteomic Biomarkers in Knee Osteoarthritis: A Systematic Review and Gene Ontology Analysis.
Review in Cartilage, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BackgroundOsteoarthritis (OA) of the knee is a degenerative disorder characterized by cartilage degradation, synovial inflammation, and structural remodeling. Synovial fluid (SF) biomarkers may improve diagnosis, staging, and patient stratification.MethodsFollowing PRISMA guidelines, a systematic search of PubMed and Scopus (2015-2025) was conducted. Human studies analyzing SF with proteomic techniques (LC-MS/MS, SWATH-MS, ELISA) were included. Extracted data were classified by OA stage, sample type, proteomic platform, and identified biomarkers. Functional enrichment was performed with ShinyGO, and protein-protein interaction (PPI) analysis with STRING (v12.0).ResultsSeven studies met the inclusion criteria. Reported biomarkers included Cathepsin G (CTSG), angiotensinogen (AGT), periostin (POSTN), haptoglobin (HP), complement components, and matrix-related proteins such as ADAMTS4 and LYVE-1, which are involved in extracellular matrix remodeling, inflammation, and joint tissue homeostasis. Functional annotation revealed enrichment in glycosaminoglycan binding, complement cascades, and redox pathways. PPI analysis identified central nodes including COL1A1, ACAN, COMP, and POSTN, together with matrix-degrading enzymes such as MMP1, MMP3, and MMP13, highlighting tightly connected extracellular matrix remodeling processes in OA.ConclusionThis review highlights reproducible SF biomarkers with diagnostic and prognostic potential in knee OA. Integrated proteomic and network analysis reinforces the multifactorial nature of OA and suggests key molecular targets. Translationally, a consistent biomarker signature could support early detection, more precise staging, and personalized management, enabling biomarker-guided diagnostics, targeted therapies, and the integration of precision medicine into OA care.
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Registered trials
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