To Explore the Mechanism of Action and Material Basis of <i>Eucommiae </i><i>folium</i> in the Treatment of Epilepsy Based on Bioinformatics

目的:基于生物信息学技术研究杜仲叶治疗癫痫的作用机制和物质基础。方法:运用LC-MS技术获得杜仲叶成分,并通过SuperPred数据库和GeneCards等数据库获得成分和疾病靶点,运用Cytoscape软件建立网络图;使用Metascape数据库进行富集分析;使用CB-dock软件进行分子对接。结果:共筛选出杜仲叶113个活性成分及531个靶点,29,880个癫痫疾病靶点,57个交集靶点,9个核心靶点;主要涉及的信号通路包括癌症通路、5-羟色胺突触等通路。结论:杜仲叶治疗癫痫的作用机制可能与炎症反应相关,为进一步药理学实验提供了科学的理论依据。Objective: Research the mechanism of action and material basis of Eucommia folium treating epilepsy based on bioinformatics technology. Method: Employ LC-MS technology to obtain components from Eucommia folium leaves, and utilize databases such as SuperPred and GeneCards to identify the components and disease targets. Construct a network diagram using Cytoscape software; perform enrichment analysis with the Metascape database; and conduct molecular docking with the CB-dock software. Results: A total of 113 active ingredients and 531 target points were screened from the Eucommia folium, with 29,880 epilepsy disease target points, 57 intersection target points and nine core target points. The main related signaling pathways include cancer pathways, serotonin synapses, etc. Conclusions: The mechanism of Eucommia folium in treating epilepsy may be related to inflammation response, providing a scientific theoretical basis for further pharmacological experiments.

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Publication Details

Journal
Hans Journal of Biomedicine
Published
2025-01-01
DOI
https://doi.org/10.12677/hjbm.2025.151006
Primary Topic
Neurological Disease Mechanisms and Treatments
Type
article
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article

To Explore the Mechanism of Action and Material Basis of Eucommiae folium in the Treatment of Epilepsy Based on Bioinformatics

明星 魏
Hans Journal of Biomedicine
Neurological Disease Mechanisms and Treatments
article

To Explore the Mechanism of Action and Material Basis of Eucommiae folium in the Treatment of Epilepsy Based on Bioinformatics

明星 魏
article en

Abstract

目的:基于生物信息学技术研究杜仲叶治疗癫痫的作用机制和物质基础。方法:运用LC-MS技术获得杜仲叶成分,并通过SuperPred数据库和GeneCards等数据库获得成分和疾病靶点,运用Cytoscape软件建立网络图;使用Metascape数据库进行富集分析;使用CB-dock软件进行分子对接。结果:共筛选出杜仲叶113个活性成分及531个靶点,29,880个癫痫疾病靶点,57个交集靶点,9个核心靶点;主要涉及的信号通路包括癌症通路、5-羟色胺突触等通路。结论:杜仲叶治疗癫痫的作用机制可能与炎症反应相关,为进一步药理学实验提供了科学的理论依据。Objective: Research the mechanism of action and material basis of Eucommia folium treating epilepsy based on bioinformatics technology. Method: Employ LC-MS technology to obtain components from Eucommia folium leaves, and utilize databases such as SuperPred and GeneCards to identify the components and disease targets. Construct a network diagram using Cytoscape software; perform enrichment analysis with the Metascape database; and conduct molecular docking with the CB-dock software. Results: A total of 113 active ingredients and 531 target points were screened from the Eucommia folium, with 29,880 epilepsy disease target points, 57 intersection target points and nine core target points. The main related signaling pathways include cancer pathways, serotonin synapses, etc. Conclusions: The mechanism of Eucommia folium in treating epilepsy may be related to inflammation response, providing a scientific theoretical basis for further pharmacological experiments.

Hans Journal of BiomedicineVol. 15(01)
Good health and well-being
Openalex Percentile: Top 99%
Neurological Disease Mechanisms and Treatments
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