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基于网络药理学的石菖蒲-郁金治疗抑郁症的作用机制

[Mechanism of Acori Tatarinowii Rhizoma-Curcumae Radix treating depression based on network pharmacology].

作者信息

Fan Wen-Tao, Wang Qian

机构信息

Shaanxi University of Chinese Medicine, Xianyang 712046, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2018 Jun;43(12):2607-2611. doi: 10.19540/j.cnki.cjcmm.2018.0084.

DOI:10.19540/j.cnki.cjcmm.2018.0084
PMID:29950083
Abstract

To screen the target for the treatment of depression of Acori Tatarinowii Rhizoma and Curcumae Radix using the pharmacological method of network pharmacology, in order to define the mechanism of antidepressant effect. Pharmacological data (TCMSP) of forall of chemical constituents of Acori Tatarinowii Rhizoma and Curcumae Radix through traditional Chinese medicine system (TCMSP) was retrieved to screen the target sites, and construct the component target PPI network. PharmGkb database was retrieved for the genes associated with depression, and the disease target was mapped using the Cytoscape software. The Cytoscape software was used to merge the network and filter the core network, and further analyze the gene GO function and the KEGG pathway enrichment. There were 62 nodes and 87 connections on the target PPI network. The PPI network had 1 289 nodes and 17 714 connections. After the network merged, the component-target-disease network had 1 337 nodes and 17 801 connections. Through screening the core network, there were 63 nodes and 935 connections, which represented the complex interaction between the components and the target. Gene GO functional analysis suggested that biological processes, molecular functions and cell components were involved. Gene KEGG pathway enrichment analysis showed associations with misfolded protein, secretory hormone secretion, and apoptosis of hippocampal neurons. The possible mechanism for treating depression is the adjustment of wrong folding protein, sex hormone secretion and apoptosis of hippocampal neurons.

摘要

运用网络药理学的药理学方法筛选石菖蒲和郁金治疗抑郁症的靶点,以明确其抗抑郁作用机制。通过中药系统药理学数据库(TCMSP)检索石菖蒲和郁金所有化学成分的药理学数据(TCMSP),以筛选靶点,构建成分-靶点PPI网络。从PharmGkb数据库检索与抑郁症相关的基因,并使用Cytoscape软件映射疾病靶点。利用Cytoscape软件合并网络并筛选核心网络,进一步分析基因GO功能和KEGG通路富集情况。靶点PPI网络有62个节点和87条连接。PPI网络有1289个节点和17714条连接。网络合并后,成分-靶点-疾病网络有1337个节点和17801条连接。通过筛选核心网络,有63个节点和935条连接,代表了成分与靶点之间的复杂相互作用。基因GO功能分析表明涉及生物过程、分子功能和细胞成分。基因KEGG通路富集分析显示与错误折叠蛋白、分泌激素分泌和海马神经元凋亡有关。治疗抑郁症的可能机制是对错误折叠蛋白、性激素分泌和海马神经元凋亡的调节。

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