Mechanism of Yunv Decoction in the Treatment of Periodontitis Based on Network Pharmacology

LI Mengjia; WANG Hong; DONG Chenlin; LI Bo; LI Ping

doi:10.14009/j.issn.1672-2124.2022.08.003

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Mechanism of Yunv Decoction in the Treatment of Periodontitis Based on Network Pharmacology

更新时间：2023-04-16

- Mechanism of Yunv Decoction in the Treatment of Periodontitis Based on Network Pharmacology
- Vol. 22, Issue 8, Pages: 904-909(2022)
- 作者机构：
  
  1. 首都医科大学附属北京口腔医院药学部
  2. 首都医科大学附属北京中医医院/北京市中医药研究所北京中医药循证医学中心
- 作者简介：
- 基金信息：
- DOI：10.14009/j.issn.1672-2124.2022.08.003
  CLC： R285.6
- Published：2022，
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LI Mengjia, WANG Hong, DONG Chenlin, et al. Mechanism of Yunv Decoction in the Treatment of Periodontitis Based on Network Pharmacology. [J]. 22(8):904-909(2022)
DOI：

LI Mengjia, WANG Hong, DONG Chenlin, et al. Mechanism of Yunv Decoction in the Treatment of Periodontitis Based on Network Pharmacology. [J]. 22(8):904-909(2022) DOI： 10.14009/j.issn.1672-2124.2022.08.003.

摘要

目的：基于网络药理学方法，探讨玉女煎治疗牙周炎的作用机制。方法：利用中药系统药理学数据库与分析平台和中药分子机制生物信息学分析工具，对玉女煎中5味中药的化学成分及作用靶点进行检索，并通过DrugBank数据库、人类孟德尔遗传综合数据库、治疗靶点数据库和GeneCards数据库等筛选玉女煎治疗牙周炎的潜在靶点，借助Uniprot数据库对靶点进行基因注释，药物和疾病的交集基因即玉女煎治疗牙周炎的潜在作用靶点。采用Cytoscape 3.7.1软件构建药物-化合物-靶点网络，采用STRING 11.0软件构建可视化蛋白质-蛋白质相互作用网络，根据拓扑学参数筛选玉女煎治疗牙周炎的核心靶点，通过Metascape数据库进行基因本体(GO)功能富集分析和京都基因与基因组百科全书(KEGG)通路富集分析。结果：玉女煎治疗牙周炎的核心活性成分为槲皮素、山柰酚、汉黄芩素、豆甾醇和黄芩素等，核心靶点为Jun原癌基因(JUN)、肿瘤坏死因子(TNF)、蛋白激酶B(Akt)1、肿瘤蛋白p53(TP53)、丝裂原激活的蛋白激酶(MAPK)14和白细胞介素(IL)6等，涉及关键的生物学进程和通路包括晚期糖基化终末产物(AGE)-糖基化终末产物受体(RAGE)、TNF、IL-17及EB病毒感染信号通路等。结论：玉女煎可能通过作用于JUN、TNF、Akt1、TP53、MAPK14和IL-6等靶点，调控AGE-RAGE通路、TNF信号通路、EB病毒感染和IL-17信号通路等，实现对牙周炎的治疗。

Abstract

OBJECTIVE: To explore the mechanism of Yunv decoction in the treatment of periodontitis based on network pharmacology. METHODS: The chemical components and targets of five traditional Chinese medicines in Yunv decoction were retrieved by traditional Chinese medicine systems pharmacology database and analysis platform（TCMSP） and bioinformatics analysis tool for molecular mechanism of traditional Chinese medicine（BATMAN-TCM）. DrugBank database

online Mendelian inheritance in man

therapeutic target database and GeneCards database were used to screen the potential targets of Yunv decoction in the treatment of periodontitis. Gene annotation of the targets was conducted with UniProt database. The intersection gene of drug and disease was the potential target of Yunv decoction in the treatment of periodontitis. Cytoscape 3.7.1 was used to construct drug-compound-target network. STRING 11.0 was used to construct visual protein-protein interaction network. According to the topological parameters

the core targets of Yunv decoction in the treatment of periodontitis were screened. Gene ontology（GO） functional enrichment analysis and Kyoto encyclopedia of genes and genomes（KEGG） pathway enrichment analysis were performed through Metascape database. RESULTS: The core active components of Yunv decoction in the treatment of periodontitis were respectively quercetin

kaempferol

wogonin

stigmasterol and baicalein. The core targets were JUN

tumor necrosis factor（TNF）

protein kinase B（Akt） 1

tumor protein p53（TP53）

mitogen-activated protein kinase（MAPK） 14 and interleukin（IL）-6

which were involved in key biological processes and pathways including AGE-RAGE

TNF

IL-17 signaling pathways and Epstein-Barr virus infection. CONCLUSIONS: Yunv decoction may regulate the AGE-RAGE pathway

TNF signaling pathway

Epstein-Barr virus infection and IL-17 signaling pathway by acting on JUN

TNF

Akt1

TP53

MAPK14

IL-6 and other targets to achieve the treatment efficacy of periodontitis.

关键词

网络药理学玉女煎牙周炎作用机制信号通路

Keywords

Network pharmacologyYunv decoctionPeriodontitisMechanismSignaling pathway

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