ArticlePeerJ2020
Identification of key biomarkers and immune infiltration in the synovial tissue of osteoarthritis by bioinformatics analysis.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
50 citing papers in PubMed, 79 citations in OpenAlex.
- Integrative analysis of single-cell and bulk RNA sequencing data using machine learning identifies PTGDS as a key subsynovial fibroblast gene in osteoarthritis.Journal of molecular histology · 2026Article
- A Novel Concept of Tissue Micro-Instability as the Underlying Mechanism of Osteophytosis in Human Knee Osteoarthritis.Biomedicines · 2026Article
- Article
- Molecular mechanisms of synovial pathology in osteoarthritis: insights from CXCL10 and MC4R expression.Genes & genomics · 2025Article
- Identification and Validation of Potential Diagnostic Biomarkers for Pulmonary Arterial Hypertension Based on Gene Expression Profiling.Pulmonary circulation · 2025Article
- Eosinophils-Induced Lumican Secretion by Synovial Fibroblasts Alleviates Cartilage Degradation via the TGF-β Pathway Mediated by Anxa1 Binding.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Progress in multi-omics studies of osteoarthritis.Biomarker research · 2025Review
- Article
- Advancing osteoarthritis therapy with GMOCS hydrogel-loaded BMSCs-exos.Journal of nanobiotechnology · 2024Article
- Unveiling Immunomodulatory Effects ofJournal of microbiology and biotechnology · 2024Article
- Article
- ADAM8 silencing suppresses the migration and invasion of fibroblast-like synoviocytes via FSCN1/MAPK cascade in osteoarthritis.Arthritis research & therapy · 2024Article
- Screening of m6A-associated ferroptosis-related genes in atherosclerosis based on WGCNA.Frontiers in cardiovascular medicine · 2024Article
- Article
- Ferroptosis-related lncRNAs guiding osteosarcoma prognosis and immune microenvironment.Journal of orthopaedic surgery and research · 2023Article
- Identification of key biomarkers and related immune cell infiltration in cervical cancer tissue based on bioinformatics analysis.Scientific reports · 2023Article
- Identification ofAnnals of translational medicine · 2023Article
- Mechanism of immune infiltration in synovial tissue of osteoarthritis: a gene expression-based study.Journal of orthopaedic surgery and research · 2023Article
- The selected genes NR6A1, RSAD2-CMPK2, and COL3A1 contribute to body size variation in Meishan pigs through different patterns.Journal of animal science · 2023Article
- Characterization and role exploration of ferroptosis-related genes in osteoarthritis.Frontiers in molecular biosciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOsteoarthritis (OA) is the most common chronic degenerative joint disease and is mainly characterized by cartilage degeneration, subcartilage bone hyperplasia, osteophyte formation and joint space stenosis. Recent studies showed that synovitis might also be an important pathological change of OA. However, the molecular mechanisms of synovitis in OA are still not well understood.
objectiveThis study was designed to identify key biomarkers and immune infiltration in the synovial tissue of osteoarthritis by bioinformatics analysis. MATERIALS AND
methodsThe gene expression profiles of GSE12021, GSE55235 and GSE55457 were downloaded from the GEO database. The differentially expressed genes (DEGs) were identified by the LIMMA package in Bioconductor, and functional enrichment analyses were performed. A protein-protein interaction network (PPI) was constructed, and module analysis was performed using STRING and Cytoscape. The CIBERSORT algorithm was used to analyze the immune infiltration of synovial tissue between OA and normal controls.
resultsA total of 106 differentially expressed genes, including 68 downregulated genes and 38 upregulated genes, were detected. The PPI network was assessed, and the most significant module containing 14 hub genes was identified. Gene Ontology analysis revealed that the hub genes were significantly enriched in immune cell chemotaxis and cytokine activity. KEGG pathway analysis showed that the hub genes were significantly enriched in the rheumatoid arthritis signaling pathway, IL-17 signaling pathway and cytokine-cytokine receptor interaction signaling pathway. The immune infiltration profiles varied significantly between osteoarthritis and normal controls. Compared with normal tissue, OA synovial tissue contained a higher proportion of memory B cells, naive CD4+ T cells, regulatory T cells, resting dendritic cells and resting mast cells, while naive CD4+ T cells, activated NK cells, activated mast cells and eosinophils contributed to a relatively lower portion (
conclusionThe hub genes and the difference in immune infiltration in synovial tissue between osteoarthritis and normal controls might provide new insight for understanding OA development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.