›› 2021, Vol. 41 ›› Issue (2): 137-143.

• 基础研究 • 上一篇    下一篇

网络药理学探索雷公藤治疗复发性阿弗他溃疡的药理特性和治疗机制

吴泽钰1,林静2,赵今3,薛瑞4   

  1. 1. 新疆医科大学附属口腔医(学)院牙体牙髓科,新疆乌鲁木齐(830054)
    2. 新疆医科大学附属口腔医(学)院牙体牙髓科
    3. 新疆医科大学第一附属医院
    4. 新疆医科大学附属口腔医(学)
  • 收稿日期:2020-04-08 修回日期:2020-05-25 出版日期:2021-02-28 发布日期:2021-03-03
  • 通讯作者: 薛瑞 E-mail:xuerui322@126.com
  • 基金资助:
    新疆维吾尔自治区联合基金

Prediction of Tripterygium wilfordii in the treatment of recurrent aphthous ulcer based on network pharmacology

  • Received:2020-04-08 Revised:2020-05-25 Online:2021-02-28 Published:2021-03-03
  • Contact: Rui Xue E-mail:xuerui322@126.com

摘要: 目的 基于网络药理学方法研究雷公藤的主要活性成分及其治疗复发性阿弗他溃疡(RAU)的药理特性及作用机制。方法 基于中药系统药理学分析平台等获取雷公藤化学成分及靶点,Gene Cards等数据库获取疾病靶点,将药物与疾病靶点韦恩分析,得到雷公藤治疗RAU的潜在靶点。采用Cytoscape 3.7.2构建成分-靶点调控网络,STRING构建蛋白-蛋白相互作用网络,Network Analyzer计算网络拓扑属性,DAVID数据库进行GO、KEGG富集分析。结果 获得成分51个,疾病靶点2562个,交集靶点150个。雷公藤治疗RAU的核心活性成分有雷公藤甲素、山奈酚、川陈皮素等,关键靶点包括丝氨酸/苏氨酸蛋白激酶1(AKT1)、肿瘤坏死因子(TNF)、血管内皮生长因子A (VEGFA)等。GO富集分析得到对药物的反应、酶结合、膜筏等80个GO条目。KEGG富集分析得到TNF信号通路、Toll样受体通路、T细胞受体信号通路等117条通路。结论 网络药理学初步揭示了雷公藤活性成分治疗RAU的药理基础及作用机制,为后续从雷公藤中开发低毒副作用的治疗RAU的药物提供理论依据。

关键词: 雷公藤, 复发性阿弗他溃疡, 网络药理学, 活性成分

Abstract: Abstract: Objective To explore the potential mechanism of main active components Tripterygium wilfordii in the treatment of recurrent aphthous ulcer (RAU) based on network pharmacology. Methods The components of Tripterygium wilfordii were searched through the TCMSP and TCMID databases. The related targets of RAU were obtained through Gene Cards, OMIM, et al. The RAU targets was mapped to the targets of Tripterygium wilfordii to screen out the common targets as the treatment of RAU targets of Tripterygium wilfordii. Using Cytoscape software to construct a component-target regulatory network and protein-protein interaction network, use the DAVID database to analyze the GO classification enrichment analysis and KEGG signal path analysis. Results 51 components and 150 the treatment of RAU targets of Tripterygium wilfordii were obtained. The key active ingredients include triptolide, kaempferol, nobiletin et al. The key targets include AKT1, TNF, VEGFA et al. KEGG signaling pathway analysis of the treatment of RAU targets of Tripterygium wilfordii obtained 117 signaling pathways, mainly related to TNF signaling pathway and VEGF signaling pathway, T cell receptor signaling pathway etc. GO classification enrichment analysis obtained 80 GO term, mainly involved in response to drug, enzyme binding and membrane raft, etc. Conclusions Based on network pharmacology, this study preliminarily revealed the pharmacological basis and mechanism of action of active components of Tripterygium wilfordii in the treatment of RAU. It can provide a theoretical basis for the subsequent treatment of RAU drugs from Tripterygium wilfordii with no toxic side effects.

Key words: Tripterygium wilfordii, RAU, network pharmacology, active ingredient

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