ArticleFrontiers in immunology2022
Comprehensive bulk and single-cell transcriptome profiling give useful insights into the characteristics of osteoarthritis associated synovial macrophages.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 15 citations in OpenAlex.
- Multi‑omics integration in osteoarthritis: Unraveling cell‑type‑specific gene‑metabolite networks for precision medicine (Review).International journal of molecular medicine · 2026Review
- Continuous low-intensity ultrasound influences the transcriptomic profile in M1 macrophages by downregulating inflammation and promoting M2-like markers.Scientific reports · 2026Article
- [The role and mechanism of chemokine network in promoting osteoarthritis progression by regulating synovial macrophage heterogeneity].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026Review
- Synovial inflammatory macrophage-derived extracellular vesicles exacerbate cartilage lesions with a FMRP-selectively sorted manner in osteoarthritis.Bone research · 2026Article
- [Exosomes from folic acid-treated subpatellar fat pad-derived mesenchymal stem cells promote M2 polarization of macrophagesNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- Synovial immune control failure in osteoarthritis: from maintenance of tissue homeostasis to inflammatory niche formation.Frontiers in immunology · 2026Review
- Crosstalk between lymphatic system and synovial inflammatory cells in osteoarthritis: molecular mechanisms and potential cell-based therapies.Journal of translational medicine · 2025Review
- Recent advances in omics and the integration of multi-omics in osteoarthritis research.Arthritis research & therapy · 2025Review
- Emerging Roles of Macrophage Polarization in Osteoarthritis: Mechanisms and Therapeutic Strategies.Orthopaedic surgery · 2024Review
- Mendelian randomization and transcriptome analysis identified immune-related biomarkers for osteoarthritis.Frontiers in immunology · 2024Article
- Identification of immune microenvironment subtypes and clinical risk biomarkers for osteoarthritis based on a machine learning model.Frontiers in molecular biosciences · 2024Article
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Authors and funding
13 authors at 4 institutions in 1 country.
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Abstract
Background: Osteoarthritis (OA) is a common chronic joint disease, but the association between molecular and cellular events and the pathogenic process of OA remains unclear. Objective: The study aimed to identify key molecular and cellular events in the processes of immune infiltration of the synovium in OA and to provide potential diagnostic and therapeutic targets. Methods: To identify the common differential expression genes and function analysis in OA, we compared the expression between normal and OA samples and analyzed the protein-protein interaction (PPI). Additionally, immune infiltration analysis was used to explore the differences in common immune cell types, and Gene Set Variation Analysis (GSVA) analysis was applied to analyze the status of pathways between OA and normal groups. Furthermore, the optimal diagnostic biomarkers for OA were identified by least absolute shrinkage and selection operator (LASSO) models. Finally, the key role of biomarkers in OA synovitis microenvironment was discussed through single cell and Scissor analysis. Results: A total of 172 DEGs (differentially expressed genes) associated with osteoarticular synovitis were identified, and these genes mainly enriched eight functional categories. In addition, immune infiltration analysis found that four immune cell types, including Macrophage, B cell memory, B cell, and Mast cell were significantly correlated with OA, and LASSO analysis showed that Macrophage were the best diagnostic biomarkers of immune infiltration in OA. Furthermore, using scRNA-seq dataset, we also analyzed the cell communication patterns of Macrophage in the OA synovial inflammatory microenvironment and found that CCL, MIF, and TNF signaling pathways were the mainly cellular communication pathways. Finally, Scissor analysis identified a population of M2-like Macrophages with high expression of CD163 and LYVE1, which has strong anti-inflammatory ability and showed that the TNF gene may play an important role in the synovial microenvironment of OA. Conclusion: Overall, Macrophage is the best diagnostic marker of immune infiltration in osteoarticular synovitis, and it can communicate with other cells mainly through CCL, TNF, and MIF signaling pathways in microenvironment. In addition, TNF gene may play an important role in the development of synovitis.
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