ArticleInternational journal of clinical and experimental pathology2023
CD14 and CSF1R as developmental molecular targets for the induction of osteoarthritis.
Article in International journal of clinical and experimental pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Immune dysregulation in osteoarthritis: Mechanisms, biomarkers, and therapeutic opportunities.Journal of translational autoimmunity · 2026Review
- Research progress on the role of CD14 in osteoarthritis.Frontiers in immunology · 2026Review
- CSF1-R inhibition attenuates posttraumatic osteoarthritis and quadriceps atrophy following ligament injury.The Journal of physiology · 2025Article
- Serum and synovial fluid levels of CSF-1 and in knee osteoarthritis and its clinical significance.BMC musculoskeletal disorders · 2025Article
- Identifying nexilin as a central gene in neutrophil-driven abdominal aortic aneurysm pathogenesis.Molecular medicine (Cambridge, Mass.) · 2025Article
- Genetic Biomarkers and Circulating White Blood Cells in Osteoarthritis: A Bioinformatics and Mendelian Randomization Analysis.Biomedicines · 2025Article
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Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveOsteoarthritis (OA) is a non-inflammatory degenerative joint disease that mainly involves articular cartilage damage and involves the whole joint tissue. However, the relationship between CD14 and CSF1R and osteoarthritis remains unclear. The aim of this study was to explore the important role of CD14 and CSF1R in osteoarthritis and provide a new direction for its prevention and treatment.
methodThe osteoarthritis datasets GSE46750 and GSE82107 were downloaded from gene expression omnibus (GEO) database generated by GPL10558 and GPL570. R package limma was used to screen differentially expressed genes (DEDs). Weighted gene co-expression network analysis (WGCNA) was performed. The construction and analysis of a protein-protein interaction (PPI) network, functional enrichment analysis, gene set enrichment analysis (GSEA), and comparative toxicogenomics database (CTD) analysis were performed. TargetScan screened miRNAs that regulated central DEGs.
results687 DEGs were identified. According to gene ontology (GO), they were mainly concentrated in inflammatory response, IL-17 signaling pathway, rheumatoid arthritis, exercise, and regulation of response to external stimuli. The enrichment items are similar to the GO Kyoto Encyclopedia of Gene and Genome (KEGG) enrichment items of DEGs. These were mainly concentrated in exercise, inflammatory response, defense response, collagen containing extracellular matrix, and receptor regulator activity. In an enrichment project of Metascape, GO had inflammatory response, SARS-CoV-2 signal pathway network map, PIDIL8CXCR1 pathway, regulation of bone remodeling and endochondral ossification. 20 core genes were obtained by PPI network construction and analysis. Gene expression heat map showed that core genes (C1QC, CSF1R, CD14, TYROBP, HLA-DRA, C1QB, FCER1G, S100A9, HCLS1, WAS, BTK, TREM1) were highly expressed in osteoarthritis synovial tissues and were low in normal synovial tissues. CTD analysis showed that twelve genes (C1QC, CSF1R, CD14, TYROBP, HLA-DRA, C1QB, FCER1G, S100A9, HCLS1, WAS, BTK, TREM1) were found to be associated with inflammation, necrosis, gout, acute myeloid leukemia and thrombocytopenia.
conclusionCD14 and CSF1R are highly expressed in osteoarthritis and may be therapeutic targets for osteoarthritis.
Indexed as
Identifiers
37693684PMC10492034W4386592107What 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.