中国农业科学 ›› 2024, Vol. 57 ›› Issue (5): 1010-1022.doi: 10.3864/j.issn.0578-1752.2024.05.015

• 畜牧·兽医 • 上一篇    

基于网络药理学和分子对接探究芹菜素缓解奶牛热应激及低氧应激的潜力与机制

刘卓琳(), 刘红云()   

  1. 浙江大学动物科学学院,奶业科学研究所,杭州 310058
  • 收稿日期:2023-05-12 接受日期:2023-07-27 出版日期:2024-03-06 发布日期:2024-03-06
  • 通信作者:
    刘红云,E-mail:
  • 联系方式: 刘卓琳,E-mail:22117014@zju.edu.cn。
  • 基金资助:
    国家自然科学基金(32072756); 国家奶牛产业技术体系(CARS-36)

The Potential and Mechanisms of Apigenin to Relieve Heat Stress and Hypoxia in Dairy Cows Based on Network Pharmacology and Molecular Docking

LIU ZhuoLin(), LIU HongYun()   

  1. College of Animal Science, Zhejiang University, The Institute of Dairy Science, Hangzhou 310058
  • Received:2023-05-12 Accepted:2023-07-27 Published:2024-03-06 Online:2024-03-06

摘要:

【目的】利用网络药理学和分子对接方法,系统预测芹菜素缓解奶牛热应激及低氧应激的作用机制。为芹菜素的应用提供参考。【方法】首先从TCMSP(中药系统药理学数据库)和GeneCards(基因数据库)分别检索“Apigenin”“heat stress”“hypoxia”,获得芹菜素、热应激和低氧应激相关靶点,韦恩交集取得芹菜素缓解双重应激(热应激+低氧)的靶点集。利用STRING数据库构建双重靶点蛋白-蛋白互作(PPI)网络,使用Cytoscape 3.9.1软件的CytoNCA插件分别对网络节点中心性进行计算,筛选得到核心靶点。利用David数据库的分析工具“Functional Annotation”对度值排名前30的芹菜素缓解双重应激靶点进行基因本体(GO)功能和京都基因与基因组百科全书(KEGG)通路富集分析。同时,对以上靶点进行分子复合物检测分析(MCODE)得到核心基因簇,并进一步对核心基因簇进行GO和KEGG分析。根据KEGG通路富集结果与核心靶点信息构建芹菜素-双重应激靶点-信号通路网络。最后,使用Autodock vina程序将芹菜素与核心靶点逐一进行分子对接,利用Pymol软件和PLIP网站分析其相互作用模式并将结果可视化。【结果】TCMSP数据库检索得到芹菜素靶点68个,GeneCards数据库中获得低氧相关基因6 661个,热应激相关基因9 046个,获得三者的交集靶点56个,即芹菜素缓解双重应激的可能靶点。靶点PPI网络的节点数为56,边数为436,平均节点度值为15.6,平均局部聚类系数为0.728,PPI富集P值<1.0×10-16。核心靶点分别为AKT1(RAC-α 丝氨酸/苏氨酸蛋白激酶)、TP53(细胞肿瘤抗原p53)、TNF(肿瘤坏死因子)、CASP3(细胞凋亡蛋白酶3)、INS(胰岛素)、BCL2L1(BCL-2样蛋白1)、VEGFA(血管内皮生长因子A)、HIF1A(缺氧诱导因子 1-α)、PTGS2(前列腺素 G/H 合酶 2)和SREPINE1(纤溶酶原激活物抑制剂 1),分子对接结果显示芹菜素与上述核心靶点均可稳定结合。GO功能富集分析(P<0.01)共获得54种生物进程(biological processes,BP)、6种分子功能(molecular functions,MF)和11种细胞组分(cellular components,CC),KEGG共富集到98条信号通路,MCODE分析得到两个主要基因簇。【结论】芹菜素主要通过PI3K-AKT、p53、HIF-1、NF-kappa B等途径调节细胞增殖、凋亡、氧气感知及炎症反应,进一步缓解热应激与低氧应激。研究利用网络药理学和分子对接方法挖掘了芹菜素缓解多重应激的潜力,为芹菜素及富含芹菜素的植物在奶牛生产上的应用提供了理论参考。

关键词: 芹菜素, 奶牛, 热应激, 低氧, 网络药理学, 分子对接

Abstract:

【Objective】 The study aimed to predict the mechanisms of apigenin in relieving heat stress and hypoxia stress in dairy cows by using network pharmacology and molecular docking so as to provide a reference for the application of apigenin.【Method】 Firstly, the targets related to apigenin, heat stress, and hypoxia stress were obtained from TCMSP and GeneCards databases, and apigenin targets in relieving dual stress were obtained by Venn intersection. The protein-protein interaction (PPI) network was constructed using the STRING database, and the core targets were identified by analyzing the network node centrality using the CytoNCA plugin in Cytoscape 3.9.1 software. Autodock vina program was used to perform molecular docking of apigenin with the identified targets. Perform gene ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on the top 30 ranked targets based on degree centrality using Functional Annotation, the analysis tool of David database. Additionally, Molecular complex detection analysis (MCODE) of the above targets yielded the core gene clusters, then GO and KEGG analysis were performed. Apigenin-dual stress targets-signaling pathway network model were constructed through the KEGG pathway enrichment results and core target information. Finally, apigenin was docked to the core targets using the Autodock vina program, and the results were visualized using the Pymol software and the PLIP website.【Result】 The TCMSP database retrieved 68 targets of apigenin, 6 661 hypoxia-related genes and 9 046 heat stress-related genes were obtained in GeneCards database, and 56 apigenin targets in relieving dual stress were obtained. The number of nodes in the target PPI network was 56, the number of edges was 436, the average node degree value was 15.6, the mean local clustering coefficient was 0.728, and PPI enrichment P value was less than 1.0×10-16. The core targets were AKT1 (RAC-alpha serine/ threonine-protein kinase), TP53 (Cellular tumor antigen p53), TNF (Tumor necrosis factor), CASP3 (Caspase-3), INS (Insulin), BCL2L1 (Bcl-2-like protein 1), VEGFA (Vascular endothelial growth factor A), HIF1A (Hypoxia-inducible factor 1-alpha), PTGS2 (Prostaglandin G/H synthase 2), and SREPINE1 (Plasminogen activator inhibitor 1). The molecular docking results showed that apigenin could be stably bound to the above core targets. A total of 54 Biological Processes (BP), 6 Molecular Functions (MF), and 11 Cellular Components (CC) were obtained by GO functional enrichment analysis (P<0.01), and KEGG were enriched to 98 signaling pathways. MCODE analysis showed two major gene clusters. 【Conclusion】 Apigenin mainly regulated cell proliferation, apoptosis, oxygen sensing and inflammation through PI3K-AKT, p53, HIF-1, NF-kappa B and other pathways, to further alleviate heat stress and hypoxia stress. The study provided a theoretical reference for the application of apigenin and apigenin-rich plants in dairy cow production.

Key words: apigenin, dairy cow, heat stress, hypoxia, network pharmacology, molecular docking