江汉大学学报(自然科学版) ›› 2022, Vol. 50 ›› Issue (4): 53-62.doi: 10.16389/j.cnki.cn42-1737/n.2022.04.007

• 医学 • 上一篇    下一篇

基于网络药理学探讨桃红四物汤促进骨折愈合的主要活性成分及作用机制

乔宇1,袁发浒1,卯玉嵘1,王昕2,胡骏2,赵志刚*1,2   

  1. 1. 江汉大学 医学院,湖北 武汉 430056;2. 武汉市第四医院 脊柱外科,湖北 武汉 430033
  • 发布日期:2022-08-30
  • 通讯作者: 赵志刚
  • 作者简介:乔宇(1998— ),男,硕士生,研究方向:骨科学。

Exploring Main Active Ingredients and Mechanism of Taohong Siwu Decoction to Improve Fracture Healing by Network Pharmacology

QIAO Yu1,YUAN Fahu1,MAO Yurong1,WANG Xin2,HU Jun2,ZHAO Zhigang*1,2   

  1. 1. School of Medicine,Jianghan University,Wuhan 430056,Hubei,China;2. Department of Spine Surgery,Wuhan Fourth Hospital,Wuhan 430033,Hubei,China
  • Published:2022-08-30
  • Contact: ZHAO Zhigang

摘要: 目 的 运用网络药理学探索“桃红四物汤”的主要活性成分,以及促进骨折愈合的作用机制。方 法 利用中药系统药理数据库与分析平台(Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,TCMSP)检索“ 桃红四物汤”(THSWT)中所有药物对应的活性成分,并筛选出其活性成分所对应的作用靶点。运用GeneCards 数据库平台挖掘与骨折愈合(fracture healing,FH)相关作用靶点,构建“ 药物- 疾病”共同靶点Venn 图。利用Cytoscape 3.8.2 软件,绘制“ 药物活性成分- 靶点- 疾病”的网络调控图,借助String 11.5 构建蛋白-蛋白相互作用(protein-protein interaction,PPI)网络,获得PPI 网络核心基因的邻接节点数目,再运用Cytoscape 3.8.2 对PPI 网络进行拓扑分析,最终获取核心基因。通过R 语言包clusterProfiler进行基因本体(gene ontology,GO)功能注释和基于京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析,预测“桃红四物汤”对促进骨折愈合的作用机制。结 果 研究预测得到“桃红四物汤”有效成分69 个,涉及5 345 个作用靶点。确定骨折愈合靶点2 383 个,得到共同靶点基因140 个,运用PPI 分析确定ALB、AKT1、VEGFA、MMP2、MMP9、CASP3、JUN、MYC 等是促进骨折愈合的核心靶点。富集分析GO 条目2 258 项(P < 0. 05),KEGG 信号通路151 条(P < 0. 05),主要富集通路有PI3K?Akt 信号通路、AGE?RAGE 信号通路、IL?17 信号通路等。结 论 “桃红四物汤”可通过多靶点、多通路促进骨折愈合,为深入揭示其作用机制提供了研究方向,后续可继续通过体内外实验进一步验证靶点的有效性。

关键词: 桃红四物汤, 骨折愈合, 网络药理学, 活性成分, 作用机制

Abstract: Objective To explore the main active ingredients and mechanism of ″ Taohong Siwu Decoction″ promoting fracture healing using network pharmacology. Methods Using Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) to search the active ingredients corresponding to all drugs in ″ Taohong Siwu Decoction″ (THSWT),and screen the corresponding targets of the active ingredients. GeneCards database platform was used to mine the targets related to fracture healing(FH),and the Venn diagram of the ″ drug-disease″ common target was constructed. Cytoscape 3.8.2 was used to draw the network regulation map of ″drug active component-target-disease″,and the protein-protein interaction(PPI)network was constructed with the help of String 11.5 to obtain the number of adjacent nodes of core genes in the PPI network. Then Cytoscape 3.8.2 was used for topology analysis of the PPI network,and finally,the core genes were obtained. Functional annotation of gene ontology(GO)and pathway enrichment analysis based on the Kyoto Encyclopedia of Genes and Genomes(KEGG)was taken using the R language package clusterProfiler to predict the mechanism of ″ Taohong Siwu Decoction″ on promoting fracture healing. Results 69 active components involving 5 345 targets were predicted in ″Taohong Siwu Decoction″. 2 383 targets for fracture healing were identified,and 140 common target genes were obtained. The PPI analysis was used to identify ALB,AKT1,VEGFA,MMP2,MMP9,CASP3,JUN,and MYC as the core targets for promoting fracture healing. Enrichment analysis included 2 258 GO items(P < 0. 05) and 151 KEGG signaling pathways (P < 0. 05). The main enrichment pathways were PI3K ? Akt signaling pathway,AGE ? RAGE signaling pathway,IL ? 17 signaling pathway,etc. Conclusion ″Taohong Siwu Decoction″ can promote fracture healing through multiple targets and pathways, which provides a research direction to further reveal its mechanism of action, and the effectiveness of the targets can be further verified through in vivo and in vitro experiments.

Key words: Taohong Siwu decoction, fracture healing, network pharmacology, active ingredient, mechanism of action

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