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基于网络药理学和分子对接的“补气复方”作为抗疲劳功能食品成分的可行性研究

Feasibility study on the use of "Qi-tonifying medicine compound" as an anti-fatigue functional food ingredient based on network pharmacology and molecular docking.

作者信息

Wu Yi, Ma Yixuan, Cao Jinguo, Xie Rui, Chen Feng, Hu Wen, Huang Yushan

机构信息

Center for Evidence Based Medical and Clinical Research, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.

Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China.

出版信息

Front Nutr. 2023 May 5;10:1131972. doi: 10.3389/fnut.2023.1131972. eCollection 2023.

Abstract

INTRODUCTION

Fatigue has attracted broad attention in recent years due to its high morbidity rates. The use of functional foods to relieve fatigue-associated symptoms is becoming increasingly popular and has achieved relatively good results. In this study, network pharmacology and molecular docking strategies were used to establish the material basis and mechanisms of Chinese herbal compounds in fatigue treatment. According to traditional medicine theories and relevant guidance documents published by the Chinese Ministry of Health, four herbal medicines, including Oliver bark, Oliver male flower, , and (EEPS), were selected to constitute the anti-fatigue herbal compound that may be suitable as functional food ingredients.

METHODS

The major active ingredients in EEPS were identified via comprehensive literature search and Traditional Chinese Medicine Systems Pharmacology database search. Corresponding targets for these ingredients were predicted using SwissTargetPrediction. The network was constructed using Cytoscape 3.9.1 to obtain key ingredients. Prediction of absorption, distribution, metabolism, excretion and toxicity properties was performed using the ADMETIab 2.0 database. The anti-fatigue targets were retrieved from GeneCards v5.13, OMIM, TTD and DisGeNET 7.0 databases. Then, the potential targets of EEPS in fatigue treatment were screened through a Venn diagram. A protein-protein interaction (PPI) network of these overlapping targets was constructed, and the hub targets in the network selected through topological screening. Gene Ontology and KEGG pathway enrichment analyses were performed using the DAVID database and the bioinformatics online platform. Finally, AutoDock tools were used to verify the binding capacity between the key active ingredients and the core targets.

RESULTS AND DISCUSSION

This study identified the active ingredients and potential molecular mechanisms of EEPS in fatigue treatment, which will provide a foundation for future research on applications of herbal medicines in the functional food industry.

摘要

引言

近年来,疲劳因其高发病率而备受广泛关注。使用功能性食品来缓解与疲劳相关的症状越来越普遍,并取得了相对较好的效果。在本研究中,采用网络药理学和分子对接策略来建立中药化合物在疲劳治疗中的物质基础和作用机制。根据传统医学理论和中国卫生部发布的相关指导文件,选择了四种草药,包括苦丁茶、苦丁雄花等,组成可能适合作为功能性食品成分的抗疲劳草药化合物。

方法

通过全面的文献检索和中药系统药理学数据库检索来鉴定该草药化合物中的主要活性成分。使用SwissTargetPrediction预测这些成分的相应靶点。使用Cytoscape 3.9.1构建网络以获得关键成分。使用ADMETIab 2.0数据库预测吸收、分布、代谢、排泄和毒性特性。从GeneCards v5.13、OMIM、TTD和DisGeNET 7.0数据库中检索抗疲劳靶点。然后,通过维恩图筛选该草药化合物在疲劳治疗中的潜在靶点。构建这些重叠靶点的蛋白质-蛋白质相互作用(PPI)网络,并通过拓扑筛选选择网络中的枢纽靶点。使用DAVID数据库和生物信息学在线平台进行基因本体论和KEGG通路富集分析。最后,使用AutoDock工具验证关键活性成分与核心靶点之间的结合能力。

结果与讨论

本研究确定了该草药化合物在疲劳治疗中的活性成分和潜在分子机制,这将为未来草药在功能性食品工业中的应用研究提供基础。

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