[Mechanism of Qizao oral liquid in the treatment of lead poisoning based on network pharmacology and molecular docking technology].

Q3 Medicine
M L Sun, L J Zhao, S C Li, H Yang, M J Duan, Y Xu, J Q Ruan
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引用次数: 0

Abstract

Objective: To investigate the effective ingredients and molecular mechanisms of Qizao oral liquid in the treatment of lead poisoning through network pharmacology and molecular docking technology. Methods: December 2023, the effective ingredients and their corresponding targets of Qizao oral liquid were searched from the TCM Systems Pharmacology database. Swiss Target Prediction was used to predict corresponding potential target genes of compounds. Targets associated with lead poisoning were obtained from GeneCards and OMIM databases. Cytoscape 3.10.1 software was employed to construct a components and corresponding target network as well as a components and corresponding target network, followed by visualization and cluster analysis. GO and KEGG enrichment analyses were conducted using the Metascape database, resulting in the generation of a signaling pathway-target network diagram. Molecular docking analysis between the principal compounds and target proteins was performed using Autodock 4.2.6 and Pymol 2.2.0 software to validate their underlying molecular mechanisms. Results: A total of 114 active chemical components, 361 potential targets, 2501 lead poisoning targets, and 191 intersection targets of "Qizao oral liquid and lead poisoning" were screened. Further analysis revealed that there were 2091 entries for GO biological processes and 202 KEGG signaling pathways. Enrichment analysis showed that the key targets were mainly enriched in cancer, lipid and atherosclerosis, PI3K-Akt signaling pathways. Molecular docking showed that there were 14 combinations with binding energy<-5 kcal/mol, among which PIK3R1-β-sitosterol binding energy was -9.71 kcal/mol. Conclusion: The primary active components found in Qizao oral liquid, such as β-sitosterol, nuciferine, stephanine, and stigmasterol, have the potential to modulate key targets including PIK3R1, AKT1, TP53, and NFKB1. These components are capable of influencing the PI3K-Akt signaling pathway as well as lipid and atherosclerosis pathways in order to mitigate the adverse effects of lead exposure.

[基于网络药理学和分子对接技术的七藻口服液治疗铅中毒机理研究]。
目的:通过网络药理学和分子对接技术,探讨七藻口服液治疗铅中毒的有效成分及分子机制。方法:2023年12月从中药系统药理学数据库中检索七藻口服液的有效成分及其对应靶点。使用Swiss Target Prediction预测化合物对应的潜在靶基因。与铅中毒相关的靶标从GeneCards和OMIM数据库中获得。采用Cytoscape 3.10.1软件构建组件及对应目标网络、组件及对应目标网络,并进行可视化和聚类分析。使用metscape数据库进行GO和KEGG富集分析,从而生成信号通路-目标网络图。利用Autodock 4.2.6和Pymol 2.2.0软件对主要化合物与目标蛋白进行分子对接分析,验证其潜在的分子机制。结果:共筛选出“芪早口服液与铅中毒”的活性化学成分114个,潜在靶点361个,铅中毒靶点2501个,交叉靶点191个。进一步分析发现,氧化石墨烯生物过程有2091个条目,KEGG信号通路有202个条目。富集分析显示,关键靶点主要富集于肿瘤、脂质和动脉粥样硬化、PI3K-Akt信号通路。结论:七枣口服液中主要活性成分β-谷甾醇、荷叶碱、茶氨酸、豆甾醇具有调节PIK3R1、AKT1、TP53、NFKB1等关键靶点的潜力。这些成分能够影响PI3K-Akt信号通路以及脂质和动脉粥样硬化通路,以减轻铅暴露的不利影响。
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来源期刊
中华劳动卫生职业病杂志
中华劳动卫生职业病杂志 Medicine-Medicine (all)
CiteScore
1.00
自引率
0.00%
发文量
9764
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