| 基于网络药理学的青风藤治疗类风湿关节炎的作用机制研究 |
| 投稿时间：2020-04-26 修订日期：2020-07-15 点此下载全文 |
| 引用本文：姚茹冰,彭浩,蔡孟成,李霞.基于网络药理学的青风藤治疗类风湿关节炎的作用机制研究[J].药学实践杂志,2021,39(1):17~22 |
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| 基金项目:国家自然科学基金项目（81873273） |
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| 中文摘要:目的 应用网络药理学研究方法，探讨青风藤治疗类风湿关节炎（RA）的可能作用机制。方法 使用中药系统药理学数据库与分析平台（TCMSP）筛选青风藤的化学成分，并依据TCMSP数据库的口服生物利用度（OB）和类药性指数（DL）筛选出主要有效活性成分。借助DRAR-CPI分子对接服务器得到有效活性成分的潜在作用靶点。通过Genecards、OMIM数据库筛选出RA的靶点，利用Venn软件获取药物与疾病的共同靶点，运用Cytoscape软件构建“化合物-靶点-疾病”网络图。使用String数据库绘制靶蛋白相互作用（PPI）网络，利用clusterProfiler程序包对有效作用靶点进行GO功能、KEGG通路富集分析。结果 该研究共筛选出青风藤有效活性成分6个，作用靶点176个；RA靶点305个；青风藤治疗RA的靶点15个。GO功能富集分析显示500个生物过程（BP）、18个细胞组成（CC）、28个分子功能（MF）。KEGG通路富集分析显示77条通路。结论 该研究初步揭示了青风藤中以青藤碱为主的6种有效活性成分发挥了抗RA的作用，治疗的关键靶点与IL-10、IL-4、INS、MAPK8、ELANE、MAPK1、MAPK14有关，涉及的生物学过程及信号通路主要与感染、炎症及免疫相关，为进一步的分子生物学实验研究奠定了基础。 |
| 中文关键词:青风藤 类风湿关节炎 网络药理学 信号通路 |
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| Mechanism of Sinomenii caulis in the treatment of rheumatoid arthritis based on network pharmacology |
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| Abstract:Objective To explore the molecular targets and associated potential pathways of Sinomenii caulis in the treatment of rheumatoid arthritis (RA) based on network pharmacology.Methods The constituents of Sinomenii caulis were searched by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). The potential active ingredients were screened based on oral bioavailability (OB) and drug like index (DL) in TCMSP database. The potential targets of active ingrediens were explored based on DRAR-CPI docking server. RA related gene targets were retrieved through GeneCards and OMIM database. Venn online software was used to obtain the common target of drugs and diseases. The "herbs-compound-target-disease" network diagram was constructed by using Cytoscape software. String database was used to draw the protein interaction (PPI) network. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the intersection network were conducted by Bioconductor Database.Results 6 active ingredients and 176 targets were identified. 305 target genes directly related to RA were obtained from the GeneCards and OMIM databases. 15 genes were obtained from the intersection of component-target and disease-target. The GO function analysis found 500 items on biological process (BP), 18 items on cellular component (CC), and 28 items on molecular function (MF). KEGG pathway enrichment analysis revealed 77 pathways.Conclusion This study identified six active ingredients from Sinomenii caulis and revealed the key targets of the anti-RA treatment with Sinomenii caulis being IL10、IL4、INS、MAPK8、ELANE、MAPK1 and MAPK14. The important biological processes and signaling pathways including infection, inflammation and immunity were explored. It has laid the foundation for further molecular biology experiments. |
| keywords:Sinomenii caulis rheumatoid arthritis network pharmacology signaling pathways |
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