基于网络药理学探讨雷公藤治疗银屑病作用机制的研究

Study on the Mechanism of Tripterygium wilfordii in the Treatment of Psorisis Based on Network Pharmacology

摘要: 目的：基于网络药理学方法分析雷公藤治疗银屑病的作用机制。方法：使用中药系统药理学平台(TCMSP)数据库搜集雷公藤的主要活性成分和作用靶点，通过Uniprot进行标准化；随后通过Genecard、OMIM、DrugBank数据库筛选出银屑病的作用靶点。将银屑病与雷公藤作用靶点取交集，得到交互靶点。随后通过Draw Venn Diagram构建韦恩图，将雷公藤与银屑病的共同作用靶点运用STRING网站进行蛋白质–蛋白互作分析PPI)，并使用Cytoscape进行可视化以及构建疾病–药物–靶点网络图，使用R语言进行GO富集分析与KEGG通路富集分析。结果：雷公藤与银屑病的共同靶点70个，GO富集1647条生物过程，100项分子功能相关，19项细胞组成相关。KEGG通路富集获得136条信号通路，主要涉及的通路有Th17细胞分化、IL-17信号通路等。结论：雷公藤治疗银屑病可能存在多通路、多靶点的可能，为雷公藤的进一步研发用药提供了参考，也为银屑病的治疗提供了生物信息学基础。

Abstract: Objective: To explore the mechanism of treatment of psoriasis based on internet pharmacology Tripterygium wilfordii. Methods: The main active components and targets of Tripterygium wilfordii were collected using the Traditional Chinese Medicine System Pharmacology Platform (TCMSP) database, and standardized by Uniprot; then the targets of psoriasis were screened through Genecard, OMIM, and DrugBank databases. The intersection of psoriasis and Tripterygium wilfordii action targets was obtained to obtain interactive targets. Then, a Venn diagram was constructed by Draw Venn Diagram, and the common targets of Tripterygium wilfordii and psoriasis were used for protein-protein interaction analysis (PPI) using the STRING website, and Cytoscape was used for visualization and construction of disease-drug-target network diagrams , using R language for GO enrichment analysis and KEGG pathway enrichment analysis. Results: There are 70 common targets of Tripterygium wilfordii and psoriasis, 1647 biological processes are enriched by GO, 100 molecular functions are related, and 19 are related to cellular composition. KEGG pathway enrichment obtained 136 signaling pathways, mainly involving Th17 cell differentiation and IL-17 signaling pathway. Conclusion: Tripterygium wilfordii may have multiple pathways and multiple targets in the treatment of psoriasis, which provides a reference for the further research and development of Tripterygium wilfordii and also provides the basis of bioinformatics for the treatment of psoriasis.