基于网络药理学预测青蒿缓解奶牛氧化应激的作用机制

doi:10.11843/j.issn.0366-6964.2023.03.020

摘要/Abstract

摘要： 运用网络药理学分析青蒿的药理成分及其作用网络，探讨其缓解奶牛氧化应激的作用机制。通过TCMSP数据库确定青蒿的化合物组成并筛选活性成分靶点，使用Uniprot找到对应靶点基因；OMIM、Gene Cards和CTD数据库查找与氧化应激(热应激)有关的病理靶点。用Venny 2.1对活性成分靶点与氧化应激疾病的靶点取交集后导入STRING数据库，建立蛋白质互作(PPI)网络并应用Cytoscape 3.9.1软件进行可视化处理及获取核心靶点。DAVID数据库对活性成分和氧化应激疾病的共同靶点基因进行GO功能注释和KEGG通路富集，应用Cytoscape软件构建成分-靶点-通路的网络图。结果表明，青蒿的化合物组成共筛选到19个活性成分及217个对应的靶点基因，氧化应激对应靶点基因共11 442个。成分与氧化应激交集靶点基因共有136个，Cytoscape 筛选得到5种关键活性成分和33个关键靶点。PPI网络分析共得到11个核心靶点基因，GO功能注释细胞组分、生物学过程、分子功能各320、37、105个条目，KEGG通路富集分析得到170条通路。综上，青蒿可通过多成分、多靶点、多通路抗奶牛氧化应激损伤，为进一步推进青蒿在缓解奶牛氧化应激中的应用提供理论参考。

关键词: 青蒿, 网络药理学, 氧化应激, 奶牛

Abstract: This study was designed to investigate the effect of Artemisia carvifolia on anti-oxidative stress and explore its underlying mechanism in dairy cows by systematic network pharmacology. All the active ingredients of Artemisia carvifolia were obtained by the TCMSP database and the target names were converted into gene names by UniProt protein database; The keyword either “heat stress” or “oxidative stress” was used to search disease-related genes by OMIM, Gene Cards and CTD databases. The intersection of the active ingredients targets and oxidative stress targets were obtained with Venny 2.1 and then imported into the STRING database to construct a protein-protein interaction (PPI) network. Then the Cytoscape 3.9.1 software was applied for visual processing and core targets acquisition. The DAVID database performed GO and KEGG enrichment analysis on the common targets of active component and oxidative stress-related diseases. Then the Cytoscape 3.9.1 software was used again to construct the component-targets-pathway network. The results showed that, a total of 19 active components and 217 predicated targets were obtained, and 11 442 genes were targeting heat stress or oxidative stress. A total of 136 genes were intersected by components and oxidative stress. Cytoscape screened 5 key active components and 33 key targets. A total of 11 core target genes were obtained by PPI network analysis. GO function annotation showed that there are 320, 37 and 105 terms of cell components, biological processes and molecular functions, respectively, and 170 pathways were obtained by KEGG pathway enrichment analysis. Based on network pharmacological analysis, it can be concluded that the effect of Artemisia carvifolia against oxidative stress damage of dairy cows acting through multiple components, targets and pathways, thus provide a theoretical reference for further promoting the application of Artemisia carvifolia in dairy cows.

Key words: Artemisia carvifolia, network pharmacology, oxidative stress, dairy cows

中图分类号:

S853.74

潘婵媛, 赵梓轩, 段铭洁, 蒋林树, 童津津. 基于网络药理学预测青蒿缓解奶牛氧化应激的作用机制[J]. 畜牧兽医学报, 2023, 54(3): 1071-1084.

PAN Chanyuan, ZHAO Zixuan, DUAN Mingjie, JIANG Linshu, TONG Jinjin. The Mechanism of Artemisia carvifolia Alleviating Dairy Cow Oxidative Stress Predicted by Network Pharmacology[J]. Acta Veterinaria et Zootechnica Sinica, 2023, 54(3): 1071-1084.

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