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基于网络药理学的白屈菜抗肿瘤分子机制研究
引用本文:章亮,陈泽慧,陈韩英,王晓琴,张波. 基于网络药理学的白屈菜抗肿瘤分子机制研究[J]. 中草药, 2018, 49(3): 646-657
作者姓名:章亮  陈泽慧  陈韩英  王晓琴  张波
作者单位:石河子大学药学院, 新疆 石河子 832002,石河子大学药学院, 新疆 石河子 832002,石河子大学药学院, 新疆 石河子 832002,石河子大学药学院, 新疆 石河子 832002,石河子大学药学院, 新疆 石河子 832002;新疆植物药资源利用教育部重点实验室, 新疆 石河子 832002
基金项目:国家自然科学基金资助项目(81460566,U1603122)
摘    要:目的白屈菜临床用于肿瘤治疗,具有良好的疗效,且毒副作用小。运用网络药理学方法筛选白屈菜有效部位和主要活性成分,构建活性化合物-靶点网络,对其抗肿瘤作用的分子机制进行科学阐释。方法采用ADME计算方法筛选白屈菜活性成分,通过文献挖掘、多个数据库联用检索收集白屈菜活性成分与潜在靶点,并利用Sys DT模型对化合物靶点进行筛选。利用Cytoscape软件构建化合物-靶点网络并进行网络拓扑学分析,通过生物学信息注释数据库(DAVID)分析靶点基因功能及信号通路。结果生物碱是白屈菜抗肿瘤主要活性成分,通过ADME方法筛选出21种生物碱类成分,相关靶点168个,肿瘤相关通路60条,整合相关通路绘制了白屈菜抗肿瘤通路。根据网络拓扑学分析结果以及成分修正结果推测,白屈菜红碱、小檗碱和血根碱为白屈菜主要活性成分,作用于PTGS2、SCN5A、F10、NCOA2、CHRM3、AR、TP53、CASP1/3/9、DRD1、MAPT、MAPK1和BLM等关键靶点。结论白屈菜主要通过诱导细胞凋亡和抑制细胞增殖、转移和侵袭等多表型干预的网络模式产生作用,从而发挥抗肿瘤活性,且具有一定的中枢镇痛作用。

关 键 词:网络药理学  白屈菜  生物碱  抗肿瘤  分子机制
收稿时间:2017-07-24

Study on antitumor molecular mechanism of Chelidonium majus based on network pharmacology
ZHANG Liang,CHEN Ze-hui,CHEN Han-ying,WANG Xiao-qin and ZHANG Bo. Study on antitumor molecular mechanism of Chelidonium majus based on network pharmacology[J]. Chinese Traditional and Herbal Drugs, 2018, 49(3): 646-657
Authors:ZHANG Liang  CHEN Ze-hui  CHEN Han-ying  WANG Xiao-qin  ZHANG Bo
Affiliation:College of Pharmacy, Shihezi University, Shihezi 832002, China,College of Pharmacy, Shihezi University, Shihezi 832002, China,College of Pharmacy, Shihezi University, Shihezi 832002, China,College of Pharmacy, Shihezi University, Shihezi 832002, China and College of Pharmacy, Shihezi University, Shihezi 832002, China;Key Laboratory of Xinjiang Endemic Phytomedicine Resources, Ministry of Education, Shihezi 832002, China
Abstract:Objective Chelidonium majus is applied to tumor therapy with good clinical effect and weak adverse effect. To explain the molecular mechanism of antitumor effect scientifically, the network pharmacology method was used to screen effective parts and major active components of C. majus and to construct the active compounds-targets network.Methods ADME calculation method was used to filtrate the active components of C. majus, and then the targets of the main active ingredients were collected by literature mining and multiple databases, and the targets of the compound were screened using the SysDT model. Besides, the compounds-targets network was constructed by Cytoscape software and network topology analysis was carried out. Biological information annotation databases (DAVID) was used to analyze the molecular function and biological pathway of the action targets.Results Alkaloids were the major active components of C. majus, 21 alkaloid components were screened out by ADME calculation method with 168 related targets, and 60 closely cancer-related pathways. Those pathways were integrated, with which a comprehensive C. majus antitumor pathway was constructed. According to the results of network topology analysis and ingredient correction results, it was speculated that chelerythrine, berberine and sanguinarine were the main active ingredients in C. majus, acting on the targets of PTGS2, SCN5A, F10, NCOA2, CHRM3, AR, TP5, CASP1/3/9, DRD1, MAPT, MAPK1, BLM, etc.Conclusion The antitumor activities of C. majus were mainly by inducing cell apoptosis and inhibiting cell proliferation, metastasis and invasion as phenotype intervention mode in network, thereby to exert antitumor activities and a certain central analgesic effect.
Keywords:network pharmacology  Chelidonium majus L.  alkaloid  antitumor  molecular mechanism
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