Analysis of Underlying Targets and Mechanism of Ginseng Radix et Rhizoma-Astragali Radix Treatment in Lung Cancer Based on Network Pharmacology

Zheng LI; Xie-yu ZHANG; Zi-ang YAO; Wei HOU

doi:10.13422/j.cnki.syfjx.20200537

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Analysis of Underlying Targets and Mechanism of Ginseng Radix et Rhizoma-Astragali Radix Treatment in Lung Cancer Based on Network Pharmacology

Data Mining | 更新时间：2021-02-09

- Analysis of Underlying Targets and Mechanism of Ginseng Radix et Rhizoma-Astragali Radix Treatment in Lung Cancer Based on Network Pharmacology
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 26, Issue 4, Pages: 207-213(2020)
- 作者机构：
  
  中国中医科学院　广安门医院，北京　 100053
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20200537
  CLC： R2-0; R285; R289
- Received：19 July 2019，
  
  Published Online：20 November 2019，
  
  Published：20 February 2020
- 稿件说明：
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Zheng LI, Xie-yu ZHANG, Zi-ang YAO, et al. Analysis of Underlying Targets and Mechanism of Ginseng Radix et Rhizoma-Astragali Radix Treatment in Lung Cancer Based on Network Pharmacology[J]. Chinese journal of experimental traditional medical formulae, 2020, 26(4): 207-213.
DOI：

Zheng LI, Xie-yu ZHANG, Zi-ang YAO, et al. Analysis of Underlying Targets and Mechanism of Ginseng Radix et Rhizoma-Astragali Radix Treatment in Lung Cancer Based on Network Pharmacology[J]. Chinese journal of experimental traditional medical formulae, 2020, 26(4): 207-213. DOI： 10.13422/j.cnki.syfjx.20200537.

摘要

目的：

基于网络药理学分析人参-黄芪治疗肺癌潜在靶点和机制。

方法：

通过传统中药系统药理学数据库和分析平台(TCMSP)筛选人参、黄芪活性成分和靶基因。使用人类基因数据库(GeneCards)获得肺癌相关基因。使用Cytoscape构建“药物-成分-靶点-疾病”网络。使用STRING下载蛋白与蛋白相互作用(PPI)数据，利用插件CentiScape筛选PPI核心基因。使用R软件进行关键靶基因基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。

结果：

共筛选17个人参，16个黄芪活性成分，50个人参，95个黄芪治疗肺癌的靶基因，构建“药物-成分-靶点-疾病”网络。筛选出38个PPI核心基因。GO功能富集显示人参-黄芪生物学过程和功能集中在核受体功能、转录相关功能、泛素化、细胞凋亡等。KEGG通路富集显示，人参-黄芪治疗肺癌主要涉及磷脂酰肌醇3-激酶/蛋白激酶B(PI3K/Akt)，细胞凋亡、肿瘤坏死因子(TNF)等信号通路。

结论：

通过构建“药物-成分-靶点-疾病”网络，从多成分、多靶点、多通路阐释人参-黄芪作为对药治疗肺癌的作用机制，为后续深入研究提供一定参考。

Abstract

Objective:

To analyze the potential targets and mechanism of Ginseng Radix et Rhizoma-Astragali Radix treatment in lung cancer based on network pharmacology.

Method:

The Ginseng Radix et Rhizoma

Astragali Radix ingredients and target genes were screened by the traditional Chinese medicine system pharmacology database and analysis platform (TCMSP). Lung cancer-related target genes were obtained from the human gene database (GeneCards). Cytoscape was used for constructing a " drug-ingredient-target-disease" network. Protein-to-protein interaction (PPI) data was downloaded from STRING and then PPI core genes was constructed by CentiScape. Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis of key target genes was performed using R software.

Result:

A total of 17 Ginseng Radix et Rhizoma and 16 Astragali Radix ingredients were screened. 50 target genes of Astragali Radix and 95 target genes of Ginseng Radix et Rhizoma in the treatment of lung cancer were obtained. A " drug-ingredient-target-disease" network was constructed. 38 PPI core genes were screened using CentiScape. GO function enrichment showed that biological functions of Ginseng Radix et Rhizoma-Astragali Radix were concentrated in nuclear receptor function

transcription-related function

ubiquitination and apoptosis. KEGG pathway enrichment showed that Ginseng Radix et Rhizoma-Astragali Radix treatment in lung cancer were mainly involved in phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt)

apoptosis

tumor necrosis factor (TNF) and other pathways.

Conclusion:

By constructing a " drug-ingredient-target-disease" network

the mechanism of Ginseng Radix et Rhizoma-Astragali Radix treatment in lung cancer was discussed from the perspective of multi-component

multi-target and multi-pathway

which provides reference for further research.

关键词

Keywords

references

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