Effect of Juanbi Qianggu Formula on biological behaviors of fibroblast-like synoviocytes in rheumatoid arthritis by regulating FGFR1 signaling pathway based on network pharmacology and cell function experiments

Abstract

This study aimed to explore the molecular mechanism of Juanbi Qianggu Formula(JBQGF), an empirical formula formulated by the prestigious doctor in traditional Chinese medicine, in the treatment of rheumatoid arthritis based on network pharmacology and cell function experiments. The main active components and targets of JBQGF were obtained through Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) and Encyclopedia of Traditional Chinese Medicine(ETCM), and the core targets underwent functional enrichment analysis and signaling pathway analysis. Cytoscape 3.6.0 was used to construct a visualized "active component-target-signaling pathway" network of JBQGF. After screening, nine potential pathways of JBQGF were obtained, mainly including G protein-coupled receptor signaling pathway and tyrosine kinase receptor signaling pathway. As previously indicated, the fibroblast growth factor receptor 1(FGFR1) signaling pathway was highly activated in active fibroblast-like synoviocytes(FLS) in rheumatoid arthritis, and cell and animal experiments demonstrated that inhibition of the FGFR1 signaling pathway could significantly reduce joint inflammation and joint destruction in collagen-induced arthritis(CIA) rats. In terms of the tyrosine kinase receptor signal transduction pathway, the analysis of its target genes revealed that FGFR1 might be a potential target of JBQGF for rheumatoid arthritis treatment. The biological effect of JBQGF by inhibiting FGFR1 phosphorylation was preliminarily verified by Western blot, Transwell invasion assay, and pannus erosion assay, thereby inhibiting matrix metalloproteinase 2(MMP2) and receptor activator of nuclear factor-κB ligand(RANKL) and suppressing the invasion of fibroblasts in rheumatoid arthritis and erosive effect of pannus bone. This study provides ideas for searching potential targets of rheumatoid arthritis treatment and TCM drugs through network pharmacology.