基于网络药理学探讨人参-白术药对的抗衰老作用机制

doi:10.13438/j.cnki.jdzk.2025.02.009

摘要/Abstract

摘要：为了揭示人参-白术药对的抗衰老物质基础及作用机制，利用网络药理学方法，通过TCMSP数据库获取人参-白术药对的化学成分，并使用Swiss Target Prediction数据库收集相关靶点.在GeneCards，OMIM，DiGSee，HAGR数据库中筛选衰老相关靶点，利用Venny 2.1获取药物与疾病的共同靶点，采用Cytoscape 3.8.2软件绘制药物-成分-靶点-疾病网络，并通过STRING数据库构建蛋白相互作用网络，通过DAVID数据库进行GO功能和KEGG通路富集分析.结果表明，人参包含22个活性成分，白术包含7个活性成分，人参-白术药对通过调控159个靶点和171条信号通路产生抗衰老作用；关键化学成分包括山奈酚、β-谷甾醇、豆甾醇、高丽槐素、3β-乙酰氧基苍术酮等，这些成分通过JUN，AKT1，TNF，CASP3，CYP2B6等靶蛋白介导的信号通路发挥抗衰老作用.

关键词： 人参, 白术, 抗衰老, 网络药理学, 信号通路

Abstract: To elucidate the anti-aging material basis and mechanisms of the Panax ginseng-Atractylodes macrocephala (Ginseng-White Atractylodes) herb pair,this study utilized network pharmacology approaches.Chemical components of the herb pair were obtained from the TCMSP database,and their corresponding targets were collected using Swiss Target Prediction database.Aging-related targets were identified from GeneCards,OMIM,DiGSee,and HAGR databases.The common aging targets between the herb pair were determined using Venny 2.1.A drug-component-target-disease network was constructed using Cytoscape 3.8.2,while a protein-protein interaction network was established via the STRING database.GO function and KEGG pathway enrichment analyses were conducted using the DAVID database.Results revealed that Ginseng contains 22 active components and Atractylodes macrocephala contains 7,collectively regulating 159 targets and 171 signaling pathways with anti-aging effects;key chemical components,including kaempferol,β-sitosterol,stigmasterol,inermin,and 3β-acetoxyatractylone,mediate anti-aging effects through signaling pathways involving JUN，AKT1，TNF，CASP3,and CYP2B6.

Key words: Panax ginseng, Atractylodes macrocephala, anti-aging, network pharmacology, signaling pathways

何佩宜, 卢志忠, 臧林泉. 基于网络药理学探讨人参-白术药对的抗衰老作用机制[J]. 吉首大学学报（自然科学版）, 2025, 46(2): 68-77.

HE Peiyi, LU Zhizhong, ZANG Linquan. Exploration of Anti-Aging Mechanisms of the Panax ginseng-Atractylodes macrocephala Pair Based on Network Pharmacology[J]. Journal of Jishou University(Natural Sciences Edition), 2025, 46(2): 68-77.

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