Molecular Mechanism of Ligustri Lucidi Fructus-Astragali Radix for Anti-cancer Based on Network Pharmacology

Zhen-jie ZHUANG; Jia-rong LI; Ci-hui HUANG; Jing-yi XIE; Zhan-hua LIU

doi:10.13422/j.cnki.syfjx.20190927

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Molecular Mechanism of Ligustri Lucidi Fructus-Astragali Radix for Anti-cancer Based on Network Pharmacology

Data Mining | 更新时间：2021-02-09

- Molecular Mechanism of Ligustri Lucidi Fructus-Astragali Radix for Anti-cancer Based on Network Pharmacology
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 25, Issue 12, Pages: 195-202(2019)
- 作者机构：
  
  1.广州中医药大学，广州　 510405；
  2.广州中医药大学　第一附属医院，广州　 510405
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20190927
  CLC： R22; R242; R2-031; R285.5
- Received：23 September 2018，
  
  Published Online：17 January 2019，
  
  Published：20 June 2019
- 稿件说明：
移动端阅览
Zhen-jie ZHUANG, Jia-rong LI, Ci-hui HUANG, et al. Molecular Mechanism of Ligustri Lucidi Fructus-Astragali Radix for Anti-cancer Based on Network Pharmacology[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(12): 195-202.
DOI：

Zhen-jie ZHUANG, Jia-rong LI, Ci-hui HUANG, et al. Molecular Mechanism of Ligustri Lucidi Fructus-Astragali Radix for Anti-cancer Based on Network Pharmacology[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(12): 195-202. DOI： 10.13422/j.cnki.syfjx.20190927.

摘要

目的：

筛选女贞子-黄芪药对抗癌治疗的主要活性成分，预测活性成分的作用靶点，建立药物成分-活性成分-作用靶点网络，进一步探讨女贞子-黄芪药对抗癌治疗的潜在作用机制。

方法：

采用中药系统药理学技术平台(TCMSP)中筛选女贞子-黄芪的潜在活性成分，采用DisGeNET数据库与人类孟德尔遗传数据库(Online Mendelian Inheritance in Man，OMIM)预测和筛选其治疗癌症的作用靶点，采用omicshare平台(http：//www.omicshare.com/)对药物靶点和疾病靶点进行匹配。借助Cytoscape软件构建“药物-活性成分-关键作用靶点”网络。采用String数据库构建蛋白质相互作用网络。采用DAVID数据库对女贞子-黄芪关键作用靶点进行生物功能及代谢通路分析。

结果：

通过筛选得到33个药物活性成分，共涉及203个作用靶点，与疾病靶点有关的活性成分为14个，主要通过调控ERBB2，AR，SRC，EGFR，ESR1等靶蛋白及癌症中的蛋白多糖通路、癌症通路、癌症中的微小mRNA(micro RNA)等通路等发挥抗癌治疗作用。

结论：

女贞子-黄芪药对对癌症的治疗作用体现了中药多成分-多靶点-多途径的特点，为阐释其抗癌治疗的作用机制与物质基础提供了科学依据。

Abstract

Objective:

To screen out active ingredients

and predict the anti-cancer targets of Ligustri Lucidi Fructus-Astragali Radix based on the " herbs-active ingredient-action targets" network.

Method:

The traditional Chinese medicine (TCM) system pharmacology platform (TCMSP) was employed to screen out the active ingredients and putative targets of anti-cancer of glossy privet fruit and astragalus. DisGeNET database and Online Mendelian Inheritance in Man (OMIM database) were employed to predict the targets for treating cancer

and then " herbs-active ingredients-key targets" network was constructed by using Cytoscape software. The omicshare platform was employed to match the putative targets of ingredients and the targets for treating cancer. Finally

the protein interaction network of key targets was constructed by using String database

and the analysis of biological functions and pathways of them was carried out by using DAVID database.

Result:

Totally 33 drug active ingredients were screened out

involving a total of 203 targets

and 14 of them were related to cancer. These 14 key targets played an therapeutic role in treating cancer by regulating target proteins

such as ERBB2

SRC

EGFR

ESR1

as well as proteoglycans in cancer

cancer pathways

microRNAs in cancer and other pathways.

Conclusion:

The therapeutic mechanism of Ligustri Lucidi Fructus-Astragali Radix reflects the multi-component

multi-target

and multi-pathway characteristics of TCMs

providing the scientific basis for further study and the material basis of Ligustri Lucidi Fructus-Astragali Radix against cancer.

关键词

Keywords

references

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