基于基因表达综合数据库芯片挖掘结合网络药理学与分子对接探讨芒果苷治疗口腔黏膜下纤维化的机制研究OA北大核心CSTPCDMEDLINE

Objective This study aims to investigate the primary target and potential mechanism of mangiferin(MF)in treating oral submucous fibrosis(OSF)through Gene Expression Omnibus(GEO)database chip mining,network pharmacology,and molecular docking techniques.Methods Potential therapeutic targets for OSF were identified using GEO chip data.The potential targets of MF were predicted,and disease-related targets for OSF were col-lected from databases.A Venn diagram was created using the EVenn platform to identify overlapping targets.The protein-protein interaction(PPI)network was constructed using the STRING database.Gene ontology(GO)and Kyoto Encyclope-dia of Genes and Genomes(KEGG)enrichment analyses were performed using the DAVID platform.Cytoscape 3.10.1 software was used to visualize a drug-target-pathway-disease network,while AutoDocktools 1.5.6 software was employed for molecular docking analysis.Results A total of 356 potential targets for MF and 360 disease-related targets for OSF were obtained from multiple databases.The top 15 key target proteins in the PPI network were selected as significant candi-dates.GO function and KEGG pathway enrichment analyses revealed that MF treatment primarily involved advanced gly-cation end products-receptor(AGE-RAGE),epidermal growth factor receptor(EGFR),and other signaling pathways associ-ated with OSF pathogenesis.Molecular docking analysis demonstrated that MF exhibited a strong binding activity toward AKT serine kinase 1(AKT1),tumor necrosis factor(TNF),and other core targets.Conclusion These findings suggest that MF may exert its therapeutic effects on OSF through a multitarget approach involving various signaling pathways.