Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
Contrast Media Mol Imaging. 2022 Apr 10;2022:5070086. doi: 10.1155/2022/5070086. eCollection 2022.
To investigate the mechanism of jujube ( Mill.) in appetite regulation based on network pharmacology.
The active components and action targets of jujube were retrieved through the TCMSP and TCMID databases. GeneCards, DisGeNet, Therapeutic Target Database, and OMIM were used to screen the related targets for appetite, appetite suppression, and appetite regulation, and the intersection target of the two was selected. A protein-protein interaction (PPI) network was constructed. Important protein nodes and subnets were predicted based on the cytoHubba plug-in, and the hub gene was screened. Additionally, GO and KEGG pathway analyses were performed to obtain potential biological processes and signaling pathways of key targets. And the active ingredient-target-action pathway diagram was constructed.
A total of 16 active components were screened from jujube, including 131 action targets related to appetite and appetite regulation. Three key targets (MAOA, MMP2, and HSPB1) were screened out by MCODE analysis. KEGG enrichment analysis was mainly enriched in neuroactive ligand-receptor interaction, serotonin-containing synapse, gap junction, cAMP signaling pathway, and dopaminergic synapse. Molecular docking results showed that the components coclaurine, (-)-catenin, (+)-stepholidine, berberine, cianidanol, coclaurine, and moupinamide in jujube had strong binding activity to the main targets (ESR1, ADRA2C, and MMP2).
Based on network pharmacology, the appetite modulating effects of jujube on multiple components, targets, and channels were explored, and the main active components of jujube were predicted to act on multiple signaling pathways to regulate appetite. The molecular docking results showed that the components in jujube had strong binding activity to the main targets, which provided new ideas and methods to further investigate the mechanisms of appetite regulation by jujube.
基于网络药理学探讨枣(Mill.)调节食欲的作用机制。
通过 TCMSP 和 TCMID 数据库检索枣的活性成分和作用靶点,利用 GeneCards、DisGeNet、Therapeutic Target Database 和 OMIM 筛选与食欲、食欲抑制和食欲调节相关的相关靶点,并取交集靶点。构建蛋白质-蛋白质相互作用(PPI)网络,利用 cytoHubba 插件预测重要蛋白节点和子网,筛选枢纽基因。同时进行 GO 和 KEGG 通路分析,获取关键靶点的潜在生物学过程和信号通路,并构建活性成分-靶点-作用通路图。
共筛选出枣的 16 种活性成分,包括 131 个与食欲和食欲调节相关的作用靶点。通过 MCODE 分析筛选出 3 个关键靶点(MAOA、MMP2 和 HSPB1)。KEGG 富集分析主要富集在神经活性配体-受体相互作用、含血清素的突触、缝隙连接、cAMP 信号通路和多巴胺能突触。分子对接结果表明,枣中的 coclaurine、(-)-catenin、(+)-斯普林、小檗碱、氰苷醇、coclaurine 和 moupinamide 等成分与主要靶点(ESR1、ADRA2C 和 MMP2)具有较强的结合活性。
基于网络药理学探讨了枣对多种成分、靶点和途径调节食欲的作用,预测了枣的主要活性成分通过多个信号通路作用于调节食欲,分子对接结果表明枣中的成分与主要靶点具有较强的结合活性,为进一步研究枣调节食欲的作用机制提供了新的思路和方法。