[基于网络药理学、分子对接、分子动力学模拟的蛇床子治疗牙周炎伴骨质疏松的机制研究]。

Miaomiao Feng, Xiaoran Xu, Ningli Li, Mingzhen Yang, Yuankun Zhai
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引用次数: 0

摘要

目的:通过网络药理学、分子对接、分子动力学模拟等技术,探讨蛇床子治疗牙周炎伴骨质增生的有效成分、潜在靶点及作用机制。方法:利用TCMSP和SwissTargetPrediction数据库,结合文献报道,对蛇床子的主要化学成分和靶点进行筛选。使用不同的数据库预测牙周炎和骨质疏松的目标。利用Venny 2.1软件获得蛇床子与牙周炎、骨质疏松症的交叉靶点。蛋白-蛋白相互作用网络在STRING平台上形成。利用Cytoscape 3.9.1构建活性组分-交叉靶点相互作用网络,进行拓扑分析,筛选关键靶点和核心活性组分。利用metscape数据库对交叉靶点进行基因本体(GO)功能和京都基因与基因组百科全书(KEGG)途径富集分析。选择前5个关键靶点和核心活性成分作为受体蛋白和配体小分子。“探索工作室2019”用于对接配体和受体,并将对接结果可视化。采用Gromacs2022.3进行分子动力学模拟,评估核心活性成分与主要靶点相互作用的稳定性。结果:共筛选出蛇床子20种潜在有效成分,获得蛇床子治疗牙周炎和骨质疏松症的靶点116个。对116个靶点的GO和KEGG分析表明,蛇床子可能通过磷酸肌苷3-激酶-蛋白激酶B (PI3K-Akt)和晚期糖基化终产物受体(AGE-RAGE)信号通路发挥治疗作用。分子对接表明,核心成分与主要靶点结合良好。分子动力学模拟证实了薯蓣皂苷- akt1复合物体系的稳定性。结论:初步发现蛇床子提取物多组分、多靶点、多途径靶向治疗牙周炎伴骨质疏松症的潜在分子药理学机制,可为今后的药物开发研究和临床应用提供理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Mechanism of Cnidii Fructus in the treatment of periodontitis with osteoporosis based on network pharmacology, molecular docking, and molecular dynamics simulation].

Objectives: This study aimed to explore the active components, potential targets, and mechanism of Cnidii Fructus in the treatment of periodontitis with osteoprosis through network pharmacology, molecular docking, and molecular dynamics simulation technology.

Methods: The main chemical constituents and targets of Cnidii Fructus were screened using the TCMSP and SwissTargetPrediction databases, as well as literature reports. Targets of periodontitis and osteoporosis were predicted using different databases. The intersection targets of Cnidii Fructus, periodontitis, and osteoporosis were obtained using Venny 2.1. The protein-protein interaction network was formed on the STRING platform. Cytoscape 3.9.1 was used to construct the active component-intersection target interaction network, perform the topological analysis, and screen key targets and core active components. Furthermore, the Metascape database was used to perform gene ontology (GO) function and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis on the intersection targets. The top five key targets and core active components were selected as receptor proteins and ligand small molecules. Discovery Studio 2019 was used to dock ligands and receptors and visualize the docking results. Molecular dynamics simulation was conducted using Gromacs2022.3 to assess the stability of the interactions between the core active components and the main targets.

Results: A total of 20 potential active ingredients of Cnidii Fructus were screened, and 116 targets of Cnidii Fructus were obtained for treating periodontitis and osteoporosis. GO and KEGG analyses of the 116 targets showed that Cnidii Fructus may play a therapeutic role through the phosphoinositide 3-kinase-protein kinase B (PI3K-Akt) and advanced glycation end products-receptor for advanced glycation end products (AGE-RAGE) signaling pathways. Molecular docking showed that the core constituents were well bound to the main targets. Molecular dynamics simulations confirmed the stability of the Diosmetin-AKT1 complex system.

Conclusions: The preliminary discovery of the potential molecular pharmacological mechanism of Cnidii Fructus extract in the targeted treatment of periodontitis with osteoporosis through a multi-component, multitarget, and multi-pathway approach can serve as a theoretical foundation for future drug-development research and clinical application.

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