Suppr超能文献

基于网络药理学的半枝莲-白花蛇舌草抗乳腺癌作用机制研究

[Mechanism of "Scutellaria barbata-Hedyotis diffusa" against breast cancer based on network pharmacology].

作者信息

Jing X U, Feng-Qin Shi, Ke-Xin D U, Jia Dong, Dong-Yun L I

机构信息

Dongzhimen Hospital, Beijing University of Chinese Medicine Beijing 100700, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2020 Sep;45(18):4448-4454. doi: 10.19540/j.cnki.cjcmm.20200302.502.

Abstract

To explore the mechanism of Scutellaria barbata-Hedyotis diffusa against breast cancer based on network pharmacological methods. The active components and corresponding target proteins of S. barbata and H. diffusa were screened by using Traditional Chinese Medicine Systems Pharmacology Database(TCMSP), and the targets of breast cancer were screened through the Genecards and OMIM databases. Venn online software was used to obtain the common targets of drugs and the disease, and then the "compound-target-disease" network diagram was constructed by using Cytoscape 3.7.2 software. The STRING database was used to draw the protein-protein interaction(PPI) network, and the David database was used to perform GO function and KEGG pathway enrichment analysis on effective targets. The results showed that 29 S. barbata compounds, 7 H. diffusa compounds, and 109 effective targets were screened. The 59 common targets for drugs and disease were obtained through Venn diagrams. The PPI network showed that MYC, CCND1, EGFR, ESR1, CASP3, VEGFA, etc. might be the key targets for "S. barbata-H. diffusa" in the treatment of breast cancer. In the GO function analysis, 88 entries were found, involving the regulation of transcription factor activity, receptor activity, cytokine activity, enzyme activity, and biosynthetic processes. In KEGG pathway analysis, 37 entries related to cancer, cell cycle, apoptosis, angioge-nesis and other pathways were found, including p53 signaling pathway, ErbB signaling pathway, nod like receptor signaling pathway, MAPK signaling pathway, VEGF signaling pathway, Wnt signaling pathway and mTOR signaling pathway and other classic signaling pathways. This study preliminarily revealed the key targets, biological processes and signal pathway of "S. barbata-H. diffusa" against breast cancer. It was found that its function was in a multi-target and multi-channel manner, which laid a foundation for future molecular biological experiments.

摘要

基于网络药理学方法探讨半枝莲-白花蛇舌草抗乳腺癌的作用机制。运用中药系统药理学数据库(TCMSP)筛选半枝莲和白花蛇舌草的活性成分及相应靶蛋白,通过Genecards和OMIM数据库筛选乳腺癌的靶点。利用Venn在线软件获取药物与疾病的共同靶点,然后使用Cytoscape 3.7.2软件构建“化合物-靶点-疾病”网络图。运用STRING数据库绘制蛋白质-蛋白质相互作用(PPI)网络,利用David数据库对有效靶点进行GO功能和KEGG通路富集分析。结果显示,筛选出29种半枝莲化合物、7种白花蛇舌草化合物和109个有效靶点。通过Venn图获得药物与疾病的59个共同靶点。PPI网络显示,MYC、CCND1、EGFR、ESR1、CASP3、VEGFA等可能是“半枝莲-白花蛇舌草”治疗乳腺癌的关键靶点。在GO功能分析中,发现88个条目,涉及转录因子活性、受体活性、细胞因子活性、酶活性及生物合成过程的调控。在KEGG通路分析中,发现37个与癌症、细胞周期、凋亡、血管生成等通路相关的条目,包括p53信号通路、ErbB信号通路、NOD样受体信号通路、MAPK信号通路、VEGF信号通路、Wnt信号通路和mTOR信号通路等经典信号通路。本研究初步揭示了“半枝莲-白花蛇舌草”抗乳腺癌的关键靶点、生物学过程和信号通路。发现其作用具有多靶点、多途径的特点,为今后的分子生物学实验奠定了基础。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验