ArticleScientific reports2024
Sinomenine treats rheumatoid arthritis by inhibiting MMP9 and inflammatory cytokines expression: bioinformatics analysis and experimental validation.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Pericyte-myofibroblast transition: a novel mechanism in peritoneal fibrosis and the effect of Asiaticoside.Journal of advanced research · 2026Article
- Celastrol attenuates synovial inflammation and experimental arthritis by modulating PTGS2-associated ferroptosis resistance in fibroblast-like synoviocytes.Journal of molecular histology · 2026Article
- Speculation on the Mechanism of Parkinson's Disease Induced by Risk Residual Pesticides in Fresh Jujube and Hawthorn Through Network Toxicology and Molecular Docking Analysis.Foods (Basel, Switzerland) · 2025Article
- Network Pharmacology Suggests Mechanisms for Therapeutic Effects ofThe journal of poultry science · 2025Article
- Research progress in treatment of rheumatoid arthritis with Sinomenine and related formulations based on different administration routes.Frontiers in pharmacology · 2025Review
- Parishin E from ginger-processedFrontiers in pharmacology · 2025Article
- Cloning, heterologous expression, and expression analysis of SinSyn7 gene from Sinomenium acutum.PloS one · 2025Article
- Identification and validation of neutrophil-related biomarkers in acute-on-chronic liver failure.Frontiers in immunology · 2025Article
- Research progress on osteoclast regulation by biodegradable magnesium and its mechanism.Regenerative biomaterials · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease marked by inflammatory cell infiltration and joint damage. The Chinese government has approved the prescription medication sinomenine (SIN), an effective anti-inflammation drug, for treating RA. This study evaluated the possible anti-inflammatory actions of SIN in RA based on bioinformatics analysis and experiments. Six microarray datasets were acquired from the gene expression omnibus (GEO) database. We used R software to identify differentially expressed genes (DEGs) and perform function evaluations. The CIBERSORT was used to calculate the abundance of 22 infiltrating immune cells. The weighted gene co-expression network analysis (WGCNA) was used to discover genes associated with M1 macrophages. Four public datasets were used to predict the genes of SIN. Following that, function enrichment analysis for hub genes was performed. The cytoHubba and least absolute shrinkage and selection operator (LASSO) were employed to select hub genes, and their diagnostic effectiveness was predicted using the receiver operator characteristic (ROC) curve. Molecular docking was undertaken to confirm the affinity between the SIN and hub gene. Furthermore, the therapeutic efficacy of SIN was validated in LPS-induced RAW264.7 cells line using Western blot and Enzyme-linked immunosorbent assay (ELISA). The matrix metalloproteinase 9 (MMP9) was identified as the hub M1 macrophages-related biomarker in RA using bioinformatic analysis and molecular docking. Our study indicated that MMP9 took part in IL-17 and TNF signaling pathways. Furthermore, we found that SIN suppresses the MMP9 protein overexpression and pro-inflammatory cytokines, including tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in the LPS-induced RAW264.7 cell line. In conclusion, our work sheds new light on the pathophysiology of RA and identifies MMP9 as a possible RA key gene. In conclusion, the above findings demonstrate that SIN, from an emerging research perspective, might be a potential cost-effective anti-inflammatory medication for treating RA.
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