首页|基于网络药理学及分子对接探讨黄柏调控铁死亡治疗类风湿关节炎的作用机制

基于网络药理学及分子对接探讨黄柏调控铁死亡治疗类风湿关节炎的作用机制

Exploring the mechanism of cortex phellodendri chinsis for the treatment of rheumatoid arthritis by regulating ferroptosis based on network pharmacology and molecular docking

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目的 基于网络药理学分析黄柏通过铁死亡途径治疗类风湿关节炎(RA)的可能作用机制.方法 通过TCMSP数据库、Herb数据库筛选黄柏的主要活性成分及其对应的靶点蛋白,并使用Uniprot数据库将靶点蛋白名称转化为基因ID.在GenCards、OMIM、DrugBank、DisGeNET数据库中获取RA疾病靶点.利用FerrDb数据库收集铁死亡在激动物、抑制物和标志物3方面的基因.然后,利用Venny平台获取黄柏活性成分靶点基因、RA靶点基因和铁死亡相关基因的交集基因,并使用Cytoscape 3.9.1软件绘制"活性成分-靶点-RA-铁死亡"网络图.使用String和DAVID数据库进行蛋白质-蛋白质相互作用(PPI)、基因本体论(GO)功能和京都基因与基因组百科全书(KEGG)通路富集分析.使用PyMOL、AutoDock Vina软件和RCSB PDB数据库对活性成分与关键基因进行分子对接.结果 共筛选出11个黄柏活性成分(槲皮素、β-谷固醇、苦楝酮、烛毒素A、黄柏呈、掌叶大黄二蒽酮A、黄连宁、鬃毛酮、Kihadalactone A、尼洛替星、豆甾醇)和 34 个交集基因(PTGS2、AR、JUN、PRKCA、TGFB1、EGFR、CDKN1A、MAPK1、RB1、IL6、TP53、HIF1A、HSPA5、HMOX1、CAV1、IFNG、ALOX5、PTEN、NFE2L2、PARP1、PPARA、GSTM1、MTOR、PIK3CA、MDM2、MAPK8、GSK3B、SIRT1、DHODH、EZH2、AKR1C2、AKR1C1、STAT3、MAPK3).预测得到TP53、JUN、STAT3、HIF1A、PTEN、SIRT1、EGFR、MTOR、MAPK3、AR 10 个黄柏调控铁死亡抗 RA 的可能作用靶标,介导细胞对氧化应激的反应、对药物的反应、HIF-1、FoxO和ErbB等信号通路调控铁死亡途径,从而对抗RA的发生及进展.对接结果显示,关键基因与其对应的黄柏活性成分间存在分子结合位点.结论 黄柏可能通过铁死亡效应以多成分、多靶点、多通路、多种作用机制治疗RA.
Objective The potential mechanism of cortex phellodendri chinsis in the improvement of rheumatoid arthritis(RA)through ferroptosis was analyzed based on network pharmacology.Methods The main active components and their corresponding target proteins were screened by TCMSP database and Herb database,and the UniProt database was used to convert the corresponding target protein names into gene IDs.The targets of RA disease were obtained from GenCards,OMIM,DrugBank and DisGeNET databases.The FerrDb database was used to collect genes for Driver,Suppressors and Markers of ferroptosis.Then,Venny platform was used to obtain the intersection genes of Cortex phellodendri chinsis,RA and ferroptosis,and Cytoscape 3.9.1 software was used to plot the"active component-target-RA-ferroptosis"network diagram.Protein-protein interaction(PPI),gene ontology(GO)function,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses were performed using String and DAVID databases.PyMOL,AutoDock Vina software and RCSB PDB database were used for molecular docking between active ingredients and key genes.Results A total of 11 active components(Quercetin,Beta-sitosterol,Melianone,Candletoxin A,Phellochin,Palmidin A,Worenine,Hispidone,Kihadalactone A,Niloticin,Stigmasterol)and 34 intersection genes(PTGS2、AR、JUN、PRKCA、TGFB1、EGFR、CDKN1A、MAPK1、RB1、IL6、TP53、HIF1A、HSPA5、HMOX1、CAV1、IFNG、ALOX5、PTEN、NFE2L2、PARP1、PPARA,GSTM1、MTOR、PIK3CA、MDM2、MAPK8、GSK3B、SIRT1、DHODH、EZH2、AKR1C2、AKR1C1、STAT3、MAPK3)were screened.Ten possible targets of Cortex phellodendri chinsis regulating ferroptosis and anti-RA were predicted,including TP53、JUN、STAT3、HIF1A、PTEN、SIRT1、EGFR、MTOR、MAPK3、AR.Ferroptosis pathway is regulated by mediating positive regulation of gene expression,response to drugs,HIF-1,FoxO,ErbB and other signaling pathways,thus combating the occurrence and progression of RA.The docking results showed that there were molecular binding sites between the key genes and their corresponding active components.Conclusion Cortex phellodendri chinsis may treat RA through ferroptosis effect with multiple components,multiple targets,multiple pathways and mechanisms.

Phellodendri chinensis cortexFerroptosisArthritis,rheumatoidNetwork pharmacolo-gyMolecular docking simulation

张辉、张悦、毕佳佳

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新乡医学院生命科学技术学院,新乡 453003

黄柏 铁死亡 关节炎,类风湿 网络药理学 分子对接

新乡医学院国家级大学生创新创业训练计划河南省高等学校重点科研项目

20221047200224A 180024

2024

中华风湿病学杂志
中华医学会

中华风湿病学杂志

CSTPCD
影响因子:0.651
ISSN:1007-7480
年,卷(期):2024.28(3)
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