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Lingnan Modern Clinics in Surgery ›› 2020, Vol. 20 ›› Issue (05): 567-572.DOI: 10.3969/j.issn.1009-976X.2020.05.005

• Original Articles and Clinical Research • Previous Articles     Next Articles

Study of mechanism of Prunella vulgaris decoction on thyroid cancer based on network pharmacology and molecular docking technology

TU Xing-qiang, ZHANG Jing-jing, PENG Xiao-bin, DU Guo-neng, XULI Xiao-zi, XU Yong-hui, XIAO Yu-gen   

  1. 1. Department of Thyroid and Vascular Surgery, Chancheng Central Hospital of Foshan, Foshan, Guangdong 528000, China;
    2. Department of Pharmacy, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou 510900, China
  • Contact: PENG Xiao-bin, pengxbin2007@163.com

基于网络药理学及分子对接技术探讨夏枯草治疗甲状腺癌的作用机制

涂星强1, 张晶晶2, 彭小彬2,*, 杜国能1, 许礼笑子1, 许永辉1, 肖玉根1   

  1. 1.佛山市禅城中心医院甲状腺血管外科,广东佛山 528000;
    2.南方医科大学第五附属医院药剂科,广州 510900
  • 通讯作者: *彭小彬,Email: pengxbin2007@163.com

Abstract: Objective To analyze the molecular mechanism of Prunella vulgaris in the treatment of thyroid cancer using network pharmacology combined with molecular docking technology. Methods TCMSP database was used to predict the main active components of Prunella vulgaris, and TCMSP and PubChem database were used to obtain the corresponding targets of all active components. Thyroid targets for the treatment of thyroid cancer were collected through GeneCards and OMIM database. The interaction information between proteins was obtained by using STRING database, and the topology analysis and visualization were carried out by using R language. GO and KEGG pathway analysis was conducted on the intersection targets of drugs and diseases obtained above using the clusterProfiler. Cytoscape 3.7.2 was used to construct the active component-target-disease network, and the core compounds were obtained through topological analysis. The core targets and compounds were verified by molecular docking. Results Quercetin, luteolin, kaempferol and sitosterol may be the core components in the treatment of thyroid cancer, while AKTI, VEGFA, CASP3, MYC, JUN, MAPK8, IL6, EGFR, MAPK1 and EGF may be the important therapeutic targets. Conclusion The treatment of thyroid carcinoma by Prunella vulgaris shows the characteristics of multiple components, multiple targets and multiple pathways, which provides a theoretical basis for the screening and further study of the effective components of Prunella vulgaris.

Key words: thyroid carcinoma, Prunella vulgaris, network pharmacology, molecular docking, mechanism

摘要: 目的 运用网络药理学联合分子对接技术分析夏枯草治疗甲状腺癌的分子机制。方法 利用TCMSP数据库预测夏枯草的主要活性成分,并用TCMSP和PubChem数据库获取所有活性成分对应靶点;通过GeneCards及OMIM数据库收集甲状腺治疗甲状腺癌的靶点。利用STRING数据库获取蛋白间的相互作用信息,并通过R语言进行拓扑学分析及可视化。利用R包clusterProfiler对上述取得的药物和疾病的交集靶点进行GO和KEGG pathway分析。利用Cytoscape 3.7.2构建活性成分-靶点-疾病网络,并进行拓扑学分析,得到核心化合物,用分子对接对核心靶点和化合物进行验证。结果 槲皮素、木犀草素、山奈酚、谷甾醇可能是夏枯草治疗甲状腺癌的核心成分,AKTI、VEGFA、CASP3、MYC、JUN、MAPK8、IL6、EGFR、MAPK1、EGF可能是治疗的重要靶点。结论 夏枯草治疗甲状腺癌体现了多成分、多靶点、多通路的特点,为夏枯草有效成分的筛选及进一步研究提供了理论基础。

关键词: 网络药理学, 甲状腺癌, 分子对接, 作用机制, 夏枯草

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