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Volume 20, Issue 1
  • ISSN: 1573-4099
  • E-ISSN: 1875-6697

Abstract

Introduction

Ding-Zhi-Xiao-Wan (DZXW) produces potential antidepressant-like effects. However, its antidepressant mechanisms are still unclear.

Objective

To analyze the antidepressant effects and the pharmacological mechanisms of DZXW, meta-analysis, network pharmacology, and molecular docking were selected in this study.

Methods

The compounds of DZXW and genes associated with compounds or depression were obtained from databases. The genes overlapping between DZXW compounds and depression were compared by Venn diagram. A network of medicine-ingredients-targets-disease was constructed, visualized, and analyzed. Protein-protein interaction, gene ontology, pathway enrichment, and molecular docking were performed to evaluate the potential mechanisms of DZXW for the treatment of depression.

Results

Meta-analysis showed that the antidepressant-like effects were produced by DZXW. The network pharmacology analysis showed that a total of 74 compound-related genes and 12607 PTSD-related genes were identified in the databases with 65 overlapping genes. The active ingredients derived from DZXW ( Beta-sitosterol, Stigmasterol, Fumarine, Hederagenin) elicited the antidepressant-like effects by targets, such as ACHE, HTR2A, and CHRM1. Moreover, the signaling pathways, like neuroactive ligand-receptor interaction, pathways in cancer, and cholinergic synapse, might play important roles in the treatment of depression by DZXW.

Conclusion

This study provides studies analysis and molecular evidence with the beneficial effects of DZXW for the treatment of depression.

© 2024 Bentham Science Publishers
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2024-01-01
2025-05-23

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The Therapeutic Effect and Potential Pharmacological Mechanisms of Ding-Zhi-Xiao-Wan on Depression were Investigated by Meta-analysis, Network Pharmacology and Molecular Docking
Curr. Computeraided Drug Des. 20, 16 (2024); https://doi.org/10.2174/1573409919666230417103355
/content/journals/cad/10.2174/1573409919666230417103355
/content/journals/cad/10.2174/1573409919666230417103355
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  • Article Type:     Research Article
Keyword(s): antidepressant; depression; Ding-Zhi-Xiao-Wan; meta-analysis; molecular docking; network pharmacology

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