Antidepressant effects of fisetin: Identifying molecular mechanisms by network pharmacology and molecular docking

Major depressive disorder (MDD) is a heterogeneous condition influenced by a complex interplay of social, psychological, and biological factors. Fisetin (FT), a flavonoid polyphenol found in various plants, has demonstrated neuroprotective properties that may be beneficial in treating MDD. This research aims to evaluate the potential molecular mechanisms of FT in treating MDD using network pharmacology analysis, with validation through molecular docking methods. We assessed the drug-like properties of FT using the TCMSP and SwissADME platforms. Potential drug targets for FT were identified through SuperPred and SwissTargetPrediction. We compiled MDD-associated targets from established databases and identified common genes shared between FT and MDD. The common targets were analyzed for protein-protein interactions using the STRING database to identify essential targets. Consequently, these key targets were further investigated through Kyoto Encyclopedia of Genes and Genomes and Gene Ontology (GO) enrichment analyses with the help of ShinyGO software. The results indicated that FT targets are linked to specific pathways involved in the pathogenesis of MDD, with the IL-17 signaling pathway emerging as a significant pathway of interest. Strong binding affinities were found between FT and key proteins, including glycogen synthase kinase 3 beta, monoamine oxidase A, acetylcholinesterase, matrix metalloproteinase 9, and myeloperoxidase, suggesting that FT may serve as a promising therapeutic agent for MDD by targeting components of the IL-17 pathway. In conclusion, this research successfully employed computational methods to elucidate the potential effectiveness of FT in managing MDD. It offered important perspectives on the regulatory mechanisms involved and emphasized the IL-17 signaling pathway as a possible target for MDD therapy.