基于网络药理学的小檗碱治疗肝细胞癌的系统性研究

Systematic Investigation of Berberine for Treating Hepatocellular Carcinoma Based on Network Pharmacology

  • 摘要:
    目的肝癌是全世界癌症死亡的第四大原因,肝细胞癌(HCC)在这些死亡中所占比例最大。小檗碱是从黄连、黄柏等植物中提取的季胺类化合物,被认为是治疗肝细胞癌的潜在候选药物。本文采用网络药理学方法,揭示小檗碱治疗HCC的核心作用机制,明确小檗碱抗肿瘤效应机制的定位和识别产生协同效应的潜在蛋白靶点。
    方法在PubChem数据库获得小檗碱的化合物结构信息;在TCMSP数据库检索小檗碱的ADME参数;在symmap、STITCH、TargetNet数据库收集小檗碱预测靶点;在OncoDB.HCC、 Liverome数据库检索肝癌相关靶点;在STRING数据库建立PPI网络,并通过基因映射获得小檗碱治疗HCC的预测靶点;通过拓扑分析、富集分析,预测小檗碱治疗HCC的核心靶点、通路,及其涉及的生物过程(BP)、细胞成分(CC)、分子功能(MF);应用Cytoscape软件建立小檗碱治疗HCC的可视化“靶点-通路”网络图。
    结果通过PubChem、TCMSP数据库检索明确了小檗碱良好的成药性;在symmap、STITCH、TargetNet数据库共收集了小檗碱的32个预测靶点;通过OncoDB.HCC、 Liverome数据库检索收集了肝癌的566个相关靶点;通过基因映射预测了小檗碱治疗HCC的10个靶点,并建立了一个10个节点,34条边的PPI网络;通过拓扑分析、富集分析获得了小檗碱治疗HCC的6个具有拓扑重要性的靶点、6条相关通路及其涉及的16个BP、6个CC、7个MF。
    结论小檗碱的抗癌作用主要通过作用于Hub节点TP52、MAPK1、CCND1、PTGS2、ESR1,及其相关的6条作用通路的复杂交互作用,参与调节肝癌细胞的细胞周期及免疫炎症反应相关,包括了肝癌细胞的增殖、凋亡等生物过程。

     

    Abstract:
    ObjectiveLiver cancer is the 4th leading cause of cancer death worldwide,and hepatocellular carcinoma (HCC) accounts for the largest proportion of these deaths. Berberine is a quaternary amine compound extracted from plants such as Coptidis Rhizoma (Huang Lian, 黄连) and Phellodendri Chinensis Cortex (Huang Bo, 黄柏) and is considered as a potential candidate for treating HCC. This study used network pharmacology methods, reveal the core mechanism of action of berberine in the treatment of HCC, clarify its medicinal value, and locate the anti-tumor mechanism of berberine.
    MethodsStructural information of Berberine (PubChem CID: 2353) was obtained from the NCBI PubChem; ADME parameter were obtained from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database; Berberine prediction targets were collected from symmap, stitch and targetnet databases; HCC significant targets were retrieved from OncoDB.HCC and Liverome; A PPI network was established at STRING, Prediction target of berberine therapy for HCC are collected by gene mapping; The core target, pathway, biological process (BP), cellular component (CC), and molecular function (MF) of berberine in the treatment of HCC were predicted by topological analysis and enrichment analysis; the visualized "target pathway" network diagram of berberine in the treatment of HCC was established by the software of Cytoscape.
    ResultsThrough PubChem and tcmsp databases, the good drug-forming properties of berberine were identified; 32 prediction targets of berberine were collected in symmap, stitch and targetnet databases; 566 related targets of HCC were collected in oncodb.hcc and liverome databases; 10 targets of berberine treatment for HCC were predicted by gene mapping, and a PPI with 10 nodes and 34 edges was established Through topological analysis and enrichment analysis, 6 topologically important targets, 6 related pathways and 16 BP, 6 cc and 7 MF involved in Berberine treatment of HCC were obtained.
    ConclusionsThe anticancer effect of berberine is mainly involved in the regulation of cells of hepatoma cells through complex interactions between the TB52, MAPK1, CCND1, PTGS2, ESR1 that act on Hub nodes and their associated 6 pathways. The cycle is related to the immune inflammatory response, including biological processes such as proliferation and apoptosis of liver cancer cells.

     

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