Molecular mechanism of Epicedium treatment for depression based on network pharmacology and molecular docking technology

BMC Complement Med Ther. 2021 Sep 3;21(1):222. doi: 10.1186/s12906-021-03389-w.

Abstract

Background: Increasing attention has been paid to the effect of Epimedium on the nervous system, particularly anti-depression function. In the present study, we applied network pharmacology to introduce a testable hypothesis on the multi-target mechanisms of Epicedium against depression.

Methods: By reconstructing the network of protein-protein interaction and drug-component-target, we predicted the key protein targets of Epicedium for the treatment of depression. Then, through molecular docking, the interaction of the main active components of Epicedium and predicted candidate targets were verified.

Results: Nineteen active compounds were selected from Epicedium. There were 200 targets associated with Epicedium and 537 targets related to depression. The key targets of Epicedium for treating depression were IL6, VEGFA, AKT1, and EGF. According to gene ontology functional enrichment analysis, 22 items of biological process (BP), 13 items of cell composition (CC) and 9 items of molecular function (MF) were obtained. A total of 56 signaling pathways (P < 0.05) were identified by Kyoto Encyclopedia of Genes and Genomes analysis, mainly involving depression-related pathways such as dopaminergic synapse, TNF signaling pathway, and prolactin signaling pathway. The results of molecular docking showed that the most important activity components, including luteoklin, quercetin and kaempferol, were well combined with the key targets.

Conclusions: Luteoklin, quercetin, kaempferol and other active compounds in Epicedium can regulate multiple signaling pathways and targets such as IL6, AKT1, and EGF, therefore playing therapeutic roles in depression.

Keywords: Epimedium; depression; molecular docking; network pharmacology; pathway analysis.

MeSH terms

  • Depression / drug therapy*
  • Drugs, Chinese Herbal / pharmacology*
  • Humans
  • Medicine, Chinese Traditional / methods*
  • Molecular Docking Simulation / methods*
  • Signal Transduction / drug effects

Substances

  • Drugs, Chinese Herbal