[1]赵贺华,杨丽君.基于网络药理学探讨黄芩抗巨细胞病毒感染的作用机制[J].西部中医药,2025,38(08):37-44.[doi:10.12174/j.issn.2096-9600.2025.08.09]
 ZHAO Hehua,YANG Lijun.Network Pharmacology-based Discussion on the Mechanism of Huangqin in the Treatment of Cytomegalovirus Infection[J].Western Journal of Traditional Chinese Medicine,2025,38(08):37-44.[doi:10.12174/j.issn.2096-9600.2025.08.09]
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基于网络药理学探讨黄芩抗巨细胞病毒感染的作用机制

《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
38
期数:
2025年08期
页码:
37-44
栏目:
二次研究
出版日期:
2025-08-15

文章信息/Info

Title:
Network Pharmacology-based Discussion on the Mechanism of Huangqin in the Treatment of Cytomegalovirus Infection
作者:
赵贺华, 杨丽君
首都医科大学附属北京友谊医院,北京 100050
Author(s):
ZHAO Hehua, YANG Lijun
Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
关键词:
人巨细胞病毒感染黄芩网络药理学分子机制信号通路
Keywords:
cytomegalovirus infectionnetwork pharmacologymolecular mechanismsignaling pathway
分类号:
R285
DOI:
10.12174/j.issn.2096-9600.2025.08.09
文献标志码:
A
摘要:
目的基于网络药理学方法探讨黄芩治疗巨细胞病毒感染的潜在作用机制。 方法采用中药系统药理学数据库和分析平台(traditional Chinese medicine systems pharmacology database and analysis platform,TCMSP)筛选黄芩的活性成分;利用在线人类孟德尔遗传数据库(online mendelian inheritance in man,OMIM)、人类基因数据库(the human gene database,GeneCards)、药物靶标数据库(therapeutic target database,TTD)等数据库检索巨细胞病毒感染相关靶点;利用Cytoscape 3.7.1构建“药物活性成分-疾病靶点”网络,并利用BioGenet分别构建药物与疾病靶点的蛋白质相互作用(protein-protein interactions,PPI)网络,提取交集网络以获得黄芩治疗巨细胞病毒感染的关键靶点;通过Metascape对关键靶点进行基因本体论(gene ontology,GO)和京都基因与基因组百科全书(Kyoto enyclopedia of genes and genomes enrichment analysis,KEGG)富集分析,并通过微生信网站进行可视化。 结果得到黄芩有效成分32个,包括金合欢素、汉黄芩素、黄芩素、谷甾醇等,作用于109个药物靶点,与1152个巨细胞病毒感染靶点相映射得到133个关键作用靶点,包括NPM1、PARP1、FLNA、TDP-43、FUS、HSP70s等;KEGG富集分析主要涉及病毒致癌、剪接体、核糖体、细胞周期、泛素-蛋白酶体等信号通路。 结论黄芩通过多成分、多通路、多靶点发挥抗肿瘤、抗病毒及抗炎作用,为后续实验研究提供了一定依据和思路。
Abstract:
ObjectiveTo discuss the potential mechanism of treating cytomegalovirus infection with Huangqin (Scutellariae Radix) based on network pharmacology. MethodsThe active ingredients of Huangqin were screened through TCMSP; cytomegalovirus infection related targets were retrieved using OMIM, GeneCards and TTD; the network "active ingredients of the herbs-disease targets" was constructed using Cytoscape 3.7.1, BioGenet was utilized to construct PPI networks of the medicine and disease targets, and the intersected network was extracted to obtain the key targets of Huangqin in the treatment of cytomegalovirus infection; GO and KEGG enrichment analysis of the key targets were performed via Metascape, and the visualization was conducted via bioinformatics. ResultsA total of 32 active ingredients of Huangqin were gained, including acacetin, wogonin, baicalein and sitosterin, acting on 109 herbal targets, 133 key targets were obtained after mapping to 1152 targets of cytomegalovirus infection, such as NPM1, PARP1, FLNA, TDP-43, FUS and HSP70s; KEGG enrichment analysis mainly relates to the signaling pathways including viral carcinogenesis, spliceosome, ribosome, cell cycle and ubiquitin-proteasome. ConclusionHuangqin could exert anti-tumor, antiviral and anti-inflammatory effects through multi-ingredient, multi-pathway and multi-target, which could offer the reference and idea to the subsequent experimental studies.

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备注/Memo

备注/Memo:
赵贺华(1984—),女,硕士学位,副主任医师。研究方向:儿童感染、呼吸系统及过敏性疾病。北京市自然科学基金(7202035)。
更新日期/Last Update: 2025-08-15