Exploration of Ziziphi Spinosae Semen in Treating Insomnia Based on Network Pharmacology Strategy

小桶 计算生物学 基因本体论 药理学 系统药理学 生物 基因 生物信息学 药品 遗传学 基因表达
作者
Feipeng Gong,Liji Xie,Beili Chen,Songhong Yang,Wenting Wu,Junmao Li,Qianfeng Gong,Lei Zhong,Jinlin Wu
出处
期刊:Evidence-based Complementary and Alternative Medicine [Hindawi Publishing Corporation]
卷期号:2021: 1-12 被引量:10
标识
DOI:10.1155/2021/9888607
摘要

Ziziphi Spinosae Semen (ZSS) is a common natural medicine used to treat insomnia, and to show clearly its method of action, we managed and did an in-depth discussion. Network pharmacology research is very suitable for the analysis of multiple components, multiple targets, and multiple pathways of Traditional Chinese Medicine (TCM). According to the relevant theory, we first carefully collected and screened the active ingredients in ZSS and received 11 active ingredients that may work. The targets going along with these active components were also strongly related to insomnia targets, 108 common genes were identified, and drug-compound-gene symbol-disease visualization network and protein-protein interaction network were constructed. Forty-eight core genes were identified by PPI analysis and subjected to GO functional analysis with KEGG pathway analysis. The results of GO analysis pointed that there were 998 gene ontology items for the treatment of insomnia, including terms of 892 biological processes, 47 cellular components, and 59 molecular functions. It mainly shows the coupling effect and transport mode of some proteins in the biological pathways of ZSS in the treatment of insomnia and explains the mechanism of action through the connection between the target and the cell biomembrane. KEGG enrichment analyzed 19 signaling pathways, which were collectively classified into seven categories. We have identified the potential pathways of ZSS against insomnia and obtained the regulatory relationship between core genes and pathways and know that the same target can be regulated by multiple components at the same time. The results of molecular docking also prove this conclusion. We sought to provide a new analytical approach to explore TCM treatments for diseases using network pharmacology analysis tools.
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