山西中医药大学学报2025，Vol.26Issue(9)：993-1002,1008,11.DOI:10.19763/j.cnki.2096-7403.2025.09.09
基于数据挖掘技术和网络药理学分析风湿骨痛胶囊对骨关节炎免疫炎症的作用机制
Analysis of the mechanism of Fengshi Gutong Capsule on immune inflammation in osteoarthritis based on data mining technology and network pharmacology
摘要
Abstract
Objective:To investigate the clinical efficacy and mechanism of action of Fengshi Gutong Capsule(FSGTC)in treating osteoarthritis(OA).Methods:Data mining was used to explore the clinical efficacy of FSGTC in treat-ing OA.Network pharmacology technology was used to construct the"active ingredient-target-disease"interaction network map,analyze the interaction between related proteins,and perform enrichment analysis of the biological processes of gene pathways.Additionally,molecular docking was conducted using AutodockTools 1.5.7 and PyMOL.Results:(1)Compared to the non-FSGTC group,the FSGTC group showed significantly lower levels of hypersensitive C-reactive protein(hs-CRP),immunoglobulin M(IgM)and erythrocyte sedimentation rate(ESR),with statistically significant differences(P<0.01).According to association rule analysis,FSGTC was closely associated with the reduction of hs-CRP,complement C3(C3),complement C4(C4),immunoglobulin A(IgA),immunoglobulin G(IgG)and ESR levels.Similar results were vali-dated using a random walk model.(2)A total of 109 active ingredients were screened,and the drug acted on 145 disease targets.Key targets such as JUN,TNF,MAPK14,MAPK1,MAPK3,TP53,Akt1,RELA,STAT3 and FOS interacted to form a core target network for the therapeutic action of the drug.Additionally,pathways such as AGE-RAGE,MAPK and HIF-1 were found to influence the inflammatory response in OA.(3)Molecular docking results indicated that the binding energies of kaempferol,quercetin and formononetin to the JUN receptor were-7.50,-7.80 and-7.10 kcal/mol,respectively.Conclusion:FSGTC can effectively ameliorate immune inflammation in OA,which may be associated with the combined ac-tion of active ingredients such as kaempferol,quercetin and formononetin.关键词
数据挖掘/网络药理学/骨关节炎/免疫炎症/分子对接Key words
data mining/network pharmacology/OA/immune inflammation/molecular docking分类
医药卫生引用本文复制引用
陈晓露,刘健,孙艳秋,贺明玉..基于数据挖掘技术和网络药理学分析风湿骨痛胶囊对骨关节炎免疫炎症的作用机制[J].山西中医药大学学报,2025,26(9):993-1002,1008,11.基金项目
国家中医药管理局高水平重点学科建设项目-中医痹病学(国中医药人教函[2023]85号) （国中医药人教函[2023]85号）
安徽省财政厅中医药治疗优势病种-临床循证能力提升项目(皖财社[2024]1359) （皖财社[2024]1359）
安徽中医药大学产学研合作项目(2024HZ076) （2024HZ076）
