Objective:

2

To analyze the effective components of Chinese medicine (CM) contained in Chaihu Shugan Powder (柴胡疏肝散

CSP) in the treatment of depressive disorders and to predict its anti-depressant mechanism by network pharmacology.

Methods:

2

Absorption

distribution

metabolism

excretion

and toxicity calculation method was used to screen the active components of CSP. Traditional Chinese Medicine System Pharmacological Database Analysis Platform and text mining tool (GoPuMed database) were used to predict and screen the active ingredients of CSP and anti-depressive targets. Through Genetic Association Database

Therapeutic Target Database

and PharmGkb database targets for depression were obtained. Cytoscape3.2.1 software was used to establish a network map of the active ingredients-targets of CSP

and to analyze gene function and metabolic pathways through Database for Annotation

Visualization and Integrated Discovery and the Omicshare database.

Results:

2

The 121 active ingredients and 15 depression-related targets which were screened from the database can exert antidepressant effects by improving the neural plasticity

growth

transfer condition and gene expression of neuronal cell

and the raise of the expression of gap junction protein. The 15 targets passed 14 metabolic pathways

mainly involved in the regulation of neurotransmitters (5-hydroxytryptamine

dopamine and epinephrine)

inflammatory mediator regulation of TRP channels

calcium signaling pathway

cyclic adenosine monophosphate signaling pathway and neuroactive ligand-receptor interaction and other signal channels to exert anti-depressant effects.

Conclusion:

2

This article reveals the possible mechanism of CSP in the treatment of depression through network pharmacology research

and lays a foundation for further target studies.