| 基于网络药理学和分子对接技术探究定清片活性成分治疗白血病的作用机制 |
| 投稿时间：2024-01-31 修订日期：2024-06-20 点此下载全文 |
| 引用本文：陈静,何瑞华,翁月,徐熠,刘静,黄瑾.基于网络药理学和分子对接技术探究定清片活性成分治疗白血病的作用机制[J].药学实践杂志,2024,42(11):479~486 |
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| 基金项目:上海市进一步加快中医药传承创新发展三年行动计划[ZY（2021-2023）-0203-03]；上海申康医院发展中心临床科技创新项目（SHDC12021635） |
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| 中文摘要:目的 探讨定清片治疗白血病的药理作用机制。方法 检索中药系统药理学数据库与分析平台（TCMSP）、本草组鉴平台（HERB），收集定清片的活性成分；利用SwissTargetPrediction数据库预测其作用靶点。利用GeneCards、OMIM和DisGeNET数据库获取疾病靶点，将药物与疾病的共有靶点导入String网站，构建共有靶点蛋白相互作用（PPI）网络，并利用MCODE插件筛选核心子网络。利用DAVID数据库中对评分最高的基因簇1基因进行GO和KEGG富集分析，构建“成分-靶点-通路”网络；利用AutoDock对定清片的活性成分和核心靶点进行分子对接，并对其结果进行可视化分析。结果 数据库检索共获得定清片活性成分82个及其作用靶点439个，白血病相关靶点1 878个，活性成分和疾病的共有靶点169个。由度值推测定清片中发挥作用的主要活性成分有槲皮素、木犀草素、山柰酚等，而PPI核心网络表明其治疗白血病的关键靶点主要包括TP53、MMP9、TNF、AKT1、CASP3等；子网络的基因富集分析及“成分-靶点-通路”网络图显示定清片可能通过调节TNF、IL-17等信号通路来发挥对白血病的治疗作用。分子对接结果显示活性成分与靶点间有较强的结合活性。结论 定清片的活性成分可能通过调控TP53、AKT1和CASP3等基因参与TNF、IL-17等信号通路，从而发挥对白血病的治疗作用。 |
| 中文关键词:定清片 白血病 网络药理学 分子对接 作用机制 |
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| Mechanism of effective ingredients of Dingqing tablets in the treatment of leukemia based on network pharmacology and molecular docking technology |
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| Abstract:Objective To explore the material basis and mechanism of the Chinese medicine Dingqing tablets in the treatment of leukemia. Methods The potential active ingredients of Dingqing tablets were retrieved through TCMSP and HERB Database and the targets of herbs were screened by Swiss TargetPrediction databases. The treatment targets of leukemia were searched from the GeneCards, OMIM and Disgenet databases. The protein-protein interaction network was used to construct the interactive target regulation function of Dingqing tablets and leukemia by STRING software, and the core subnetworks were filtered by the MCODE plug-in. A component-target pathway network was constructed by GO and KEGG enrichment analysis of the highest scoring Gene cluster 1 gene in the DAVID database. Molecular docking of the active components and core targets of Dingqing tablets was performed by AutoDock and the results were visualized. Results A total of 82 active ingredients and 439 targets of action of Dingqing tablets, and 1 878 leukemia-related targets were obtained through database retrieval, in which 169 common targets of active ingredients and diseases were mapped. Based on the degree values, the main active ingredients were determined as quercetin, luteolin, kaempferol, etc. The PPI core network indicated that the key targets for treating leukemia included TP53, MMP9, TNF, AKT1, CASP3, etc. The gene enrichment analysis of sub-networks and the component-target pathway network diagram showed that Dingqing tablets might exert therapeutic effects on leukemia by regulating signaling pathways such as TNF and IL-17. The molecular docking results showed fairly strong binding activity between the active ingredients and the targets.Conclusion The active ingredients of Dingqing tablets may participate in TNF, IL-17, and other signaling pathways by regulating genes such as TP53, AKT1, and CASP3, thereby exerting therapeutic effects on leukemia. |
| keywords:Dingqing tablets leukemia network pharmacology molecular docking mechanism |
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