广东化工2024,Vol.51Issue(5) :142-145.DOI:10.3969/j.issn.1007-1865.2024.05.042.

基于GC-MS技术和网络药理学预测麻黄挥发油干预支气管哮喘的作用

Forecasting the Effect of Volatile Oil of Ephedra sinica on Bronchial Asthma Based on GC-MS Technology and Network Pharmacology

李磊 柴慧芳 刘方园 薛娟
广东化工2024,Vol.51Issue(5) :142-145.DOI:10.3969/j.issn.1007-1865.2024.05.042.

基于GC-MS技术和网络药理学预测麻黄挥发油干预支气管哮喘的作用

Forecasting the Effect of Volatile Oil of Ephedra sinica on Bronchial Asthma Based on GC-MS Technology and Network Pharmacology

李磊 1柴慧芳 1刘方园 1薛娟1
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作者信息

  • 1. 贵州中医药大学,贵州 贵阳 550025
  • 折叠

摘要

研究麻黄不同产地的挥发油化学成分组成及含量变化,结合网络药理学方法探讨麻黄挥发油成分干预支气管哮喘可能的作用机制.从吉林麻黄、内蒙古麻黄、四川麻黄的挥发油中分别鉴定得到13、6、6 个成分.Venny分析得到交集靶点95 个,PPI分析筛选出 20 个核心靶点.GO分析得到 1377 个功能条目,KEGG富集分析得到 151 条相关通路."成分-交集靶点"网络分析得到 1-苯基-1,2-丙二酮、4-甲氧基苯乙烯、香叶醇等核心成分,可能为治疗支气管哮喘的潜在活性成分.本研究为进一步探究麻黄挥发油治疗支气管哮喘潜在作用机制提供了一定的参考依据.

Abstract

This study aimed to investigate the chemical profiling and content changes of volatile oil from different producing areas of Ephedra sinica Stapf and to explore the underlying mechanism of volatile oil from E.sinica intervening in bronchial asthma combined with network pharmacology.Thirteen,six,and six components were identified from the volatile oils of E.sinica from Jilin,Inner Mongolia,and Sichuan,respectively.A total of 95 intersection targets were obtained.PPI analysis screened out top 20 core targets.A total of 1377 functional items were obtained by GO analysis,and 151 related pathways were obtained by KEGG enrichment analysis.The core components such as 1-phenyl-1,2-propanedione,4-methoxystyrene,and 2,7-dimethyl-2,6-octadiene were obtained by'component-intersection target'network analysis,which may be the potential active components for the treatment of bronchial asthma.This study provides a important contribution for further exploring the potential mechanism of the volatile oil of E.sinica in the treatment of bronchial asthma.

关键词

麻黄/挥发油/GC-MS/网络药理学/化学成分

Key words

Ephedra sinica/essential oil/GC-MS/network pharmacology/chemical constituents

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基金项目

贵州省科技计划(黔科合基础-ZK[2023]一般420)

贵州省科技计划(黔科合基础[2020]1Y389)

出版年

2024
广东化工
广东省石油化工研究院

广东化工

影响因子:0.288
ISSN:1007-1865
参考文献量14
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