《中国中西医结合外科杂志》杂志社

引用本文：

[点击复制]
[点击复制]

本文已被：浏览 2448次下载 1448次	码上扫一扫！
血栓性浅静脉炎新处方的成分 -靶点网络药理作用研究
王玉涛,庞雪,张幼雯,宋奎全,孙庆
济南市中医医院周围血管病科济南 250012;山东省千佛山医院肛肠科济南 250014;济南市中医医院外科济南 250012

摘要:

目的:利用网络药理学研究方法预测通过数据挖掘获取的治疗血栓性浅静脉炎的新处方的作用机制。方法:利用 TCMSP数据库挖掘新处方组成药物的入血成分及作用靶点，通过 DisGeNET、GeneCards、OMIM等数据库筛选出血栓性浅静脉炎的相关靶点。运用 Cytoscape软件构建新处方药物干预血栓性浅静脉炎的“药物 -成分 -靶点 -疾病”网络，通过 STRING数据库构建关键靶点相关作用网络并进行信号通路富集分析。结果:新处方药物的 79种有效成分可能通过介导 121条通路作用于 101个核心靶点干预血栓性浅静脉炎。结论:新处方药物可能通过调控 PTGS1、NCOA1、NCOA2等靶点，介导流体剪切应力与动脉粥样硬化、AGE-RAGE、p53、TNF-α等信号通路发挥抑制炎性反应、保护内皮细胞等药理作用，干预血栓性浅静脉炎。

关键词: 血栓性浅静脉炎成分靶点网络药理学

DOI：10.3969/j.issn.1007-6948.2020.04.007

投稿时间：2020-02-20

基金项目:山东省中医药科技发展计划( 2017-299)；山东省中医药科技发展计划( 2019-0559)；济南市第二届优秀卫生计生人才培养项目(济卫科外发〔 2018〕8号)；济南市第三批“薪火传承 231工程”培养项目(济中医药发〔2017〕11号)；济南市卫生健康系统青年岗位能手培养项目(济卫发〔 2019〕1号)；济南市卫生健康委员会科技计划项目(2019-1-23)；张恒龙山东省名老中医药专家传承工作室建设项目(鲁卫中发展字〔2018〕1号)

Research of Component-Target Network Pharmacology of New Prescription Treating Superficial Thrombophlebitis

WANG Yu-tao,PANG Xue,ZHANG You-wen

Abstract:

Objective　To predict the mechanism in new prescription treating super?cial thrombophlebitis (STP) based on the method of data mining and network pharmacology.　Methods　The targets of STP were screened out by retrieving DisGeNET, GeneCards and OMIM. TCMSP database was used to excavate the active components of the drugs in new prescription and predict their targets. The Cytoscape was used to construct the “component-target-pathway-disease” network for the treatment of STP. The protein-protein interaction network was constructed by STRING database and the enrichment analysis of biological function annotation and pathways of the key targets were carried out.　Results　Seventy-nine active components of the drugs in new prescription may treat STP by acting on 101 targets and involving 121 pathways.　Conclusion　The effective components of the drugs in new prescription may treat STP by inhibiting the in?ammatory reaction and protecting endothelial

Key words: Super?cial thrombophlebitis active

用微信扫一扫