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基于网络药理学、分子对接和分子动力学模拟探讨蛇床子治疗骨质疏松伴牙周炎的作用机制

[Mechanism of Cnidii Fructus in the treatment of periodontitis with osteoporosis based on network pharmacology, molecular docking, and molecular dynamics simulation].

作者信息

Feng Miaomiao, Xu Xiaoran, Li Ningli, Yang Mingzhen, Zhai Yuankun

机构信息

Kaifeng Key Laboratory of Periodontal Tissue Engineering, School of Stomatology, Henan University, Kaifeng 475001, China.

出版信息

Hua Xi Kou Qiang Yi Xue Za Zhi. 2025 Apr 1;43(2):249-261. doi: 10.7518/hxkq.2025.2024275.

Abstract

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.

摘要

目的

本研究旨在通过网络药理学、分子对接和分子动力学模拟技术,探索蛇床子治疗牙周炎伴骨质疏松症的活性成分、潜在靶点及作用机制。

方法

利用中药系统药理学数据库与分析平台(TCMSP)和瑞士药物靶点预测数据库(SwissTargetPrediction)以及文献报道,筛选蛇床子的主要化学成分和靶点。使用不同数据库预测牙周炎和骨质疏松症的靶点。利用Venny 2.1获取蛇床子、牙周炎和骨质疏松症的交集靶点。在STRING平台上构建蛋白质-蛋白质相互作用网络。使用Cytoscape 3.9.1构建活性成分-交集靶点相互作用网络,进行拓扑分析,筛选关键靶点和核心活性成分。此外,利用Metascape数据库对交集靶点进行基因本体(GO)功能和京都基因与基因组百科全书(KEGG)通路富集分析。选择排名前五位的关键靶点和核心活性成分作为受体蛋白和配体小分子。使用Discovery Studio 2019对接配体和受体并可视化对接结果。使用Gromacs2022.3进行分子动力学模拟,以评估核心活性成分与主要靶点之间相互作用的稳定性。

结果

共筛选出蛇床子20种潜在活性成分,获得116个蛇床子治疗牙周炎和骨质疏松症的靶点。对这116个靶点的GO和KEGG分析表明,蛇床子可能通过磷脂酰肌醇3激酶-蛋白激酶B(PI3K-Akt)和晚期糖基化终产物-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香叶木素-AKT1复合系统的稳定性。

结论

通过多成分、多靶点、多途径方法初步发现蛇床子提取物在靶向治疗牙周炎伴骨质疏松症中的潜在分子药理机制,可为未来药物研发研究和临床应用提供理论基础。

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