| 引用本文:张涛1，孙昉昉2，李耀辉2，刘改霞1，唐秀林1，康艳1，刘伊莎1.基于网络药理学探讨鸦胆子对肺癌的作用机制[J].世界中医药,2020,(20):. |
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| 基于网络药理学探讨鸦胆子对肺癌的作用机制 |
| Study on the Mechanism of Fructus Bruceae on Lung Cancer Based on Network Pharmacology |
| 投稿时间：2019-09-18 |
| DOI：10.3969/j.issn.1673-7202.2020.20.004 |
| 中文关键词: 鸦胆子 肺癌 网络药理学 中医 作用机制 |
| English Keywords:Fructus Bruceae Lung cancer Network pharmacology Traditional Chinese medicine Mechanism of action |
| 基金项目:陕西省科技厅重点研发计划项目(2018ZDXM-SF-008);西安市科技计划项目（201805103YX11SF37） |
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| 中文摘要: |
| 目的：采用网络药理学方法探讨鸦胆子对肺癌的作用机制。方法：通过检索中药系统药理学数据库（TCMSP）提取鸦胆子的有效成分及其相关作用靶点；检索GeneCards和OMIM数据库提取肺癌疾病靶点；采用STRING数据库构建蛋白互作网络，Cytoscape构建化合物-靶点网络以及化合物-靶点-生物过程-通路网络，DAVID数据库对靶点进行GO富集分析和KEGG通路富集分析。结果：检索TCMSP得到并通过OB值和DL值筛选得到有效成分15中，有效靶点44个。检索GeneCards数据库和OMIM数据库得到疾病靶点21 729个，将化合物靶点与疾病靶点相映射得到交集靶点39个。将结果导入Cytoscape软件，构建“化合物-靶点”网络；再构建“药物-化合物-靶点-疾病”网络。将关键靶点导入STRING数据库，构建蛋白互作网络，其中度值较高且处于较核心位置的靶点有CASP3、CCND1、EGFR、IL6、AR等。再对39个关键靶点进行富集分析，结果显示鸦胆子治疗肺癌的关键靶点共富集为7个生物过程聚类，涉及58个条目，经过筛选剩余9个生物过程。对鸦胆子治疗肺癌的39个关键靶点进行通路富集，结果显示共有7个富集的通路聚类，涉及62个条目，经过筛选剩余12条通路。结论：鸦胆子治疗肺癌的临床疗效确切，基于数据库的机制分析也证实它不仅可以治疗小细胞肺癌，同时也可以作用于非小细胞肺癌。 |
| English Summary: |
| To explore the mechanism of Fructus Bruceae on lung cancer by network pharmacology.Methods:Effective components and related action targets of Fructus Bruceae were extracted by searching TCMSP database，and lung cancer disease targets were extracted by searching GeneCards and OMIM database，protein interaction network was constructed by STRING database，compound-target network and compound-target-biological process and pathway network were constructed by Cytoscape.-DAVID database were used to analyze GO enrichment and KEGG pathway enrichment.Results:A total of 15 effective components were screened by searching TCMSP，and retrieving OB and DL values，with 44 effective targets.By searching GeneCards database and OMIM database，21729 disease targets were obtained，and 39 intersection targets were obtained by mapping compound targets with disease targets.The results were imported into Cytoscape software to construct a “compound-target” network and a “drug-compound-target-disease” network.The key targets were imported into STRING database and protein interaction network was constructed.CASP3，CCND1，EGFR，IL6，AR etc.were the targets with high degree and at the core position.A total of 39 key targets were enriched and analyzed.The results showed that the key targets of Fructus Bruceae for lung cancer were enriched into 7 biological process clusters involving 58 items，and the remaining 9 biological processes were screened.Pathway enrichment was performed on 39 key targets of Fructus Bruceae for lung cancer treatment.The results showed that there were 7 pathway clustering，involving 62 items，and the remaining 12 pathways were screened.Conclusion:Fructus Bruceae has definite clinical efficacy in the treatment of lung cancer.The mechanism analysis based on database also confirms that Fructus Bruceae can not only treat small cell lung cancer，but also act on non-small cell lung cancer. |
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