IMR Press / JIN / Volume 19 / Issue 2 / DOI: 10.31083/j.jin.2020.02.1246
Open Access Systematic Review
Antidepressant pathways of the Chinese herb jiaweisinisan through genetic ontology analysis
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1 Research Center for Integrative Medicine of Guangzhou University of Chinese Medicine, Guangzhou, 510006, P. R. China
*Correspondence: wulili@gzucm.edu.cn (Lili Wu); yc1970@gzucm.edu.cn (Can Yan)
These authors contributed equally.
J. Integr. Neurosci. 2020, 19(2), 385–395; https://doi.org/10.31083/j.jin.2020.02.1246
Submitted: 25 November 2019 | Revised: 7 June 2020 | Accepted: 8 June 2020 | Published: 30 June 2020
Copyright: © 2020 Chen et al. Published by IMR press.
This is an open access article under the CC BY-NC 4.0 license https://creativecommons.org/licenses/by-nc/4.0/.
Abstract

Active compounds and corresponding targets of the traditional Chinese herb, jiaweisinisan, were obtained from systems pharmacological database and placed into ClueGO for gene ontology analysis. The targets of depression were obtained from the Online Mendelian Inheritance in Man, the Therapeutic Target Database, and the Pharmacogenomics Knowledge Base. Compound-target and target-pathway networks were constructed using Cytoscape, and then their topological parameters were analyzed. The targets of jiaweisinisan and depression were mapped to pathways, thereby constructing antidepressant pathways of jiaweisinisan. It was found that jiaweisinisan has 82 different active compounds and 306 relevant potential targets. Also, 107 unrepeatable targets related to depression were found. In all, 26 common targets were found to be the direct anti-depression targets of jiaweisinisan and 9 pathways of jiaweisinisan related to depression were divided into three modules (synaptic transmission, cell apoptosis, and immune-inflammatory). The jiaweisinisan formula was found to have synergistic antidepressant effects due to aspects of its herb composition and the active compounds therein, giving rise to potential targets and signaling pathways related to depression. Its antidepressant mechanisms were found to mainly involve the regulation of synaptic transmission, cell apoptosis, and immune-mediated inflammation.

Keywords
Systems neuropharmacology
gene ontology
depression
neuroinformatics
neurogenetics
antidepressant mechanisms
traditional Chinese herbs
Figures
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