{"title":"Molecular targets of vortioxetine mediating glioblastoma suppression revealed by gene and protein network analyses and molecular docking simulations.","authors":"Chuanjun Zhuo, Chao Li, Qiuyu Zhang, Lei Yang, Ying Zhang, Ximing Chen, Xiaoyan Ma, Ranli Li, Lina Wang, Hongjun Tian","doi":"10.1093/ijnp/pyaf029","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Vortioxetine is a serotonin reuptake inhibitor and serotonin receptor modulator used for the treatment of major depressive disorder, but recent studies have also reported anticancer effects in models of glioblastoma. Given the well-established benefits of drug repositioning, we examined the pharmacological mechanism for these anticancer actions using bioinformatics and molecular docking.</p><p><strong>Methods: </strong>Putative molecular targets for vortioxetine were identified by searching DrugBank, GeneCards, SwissTargetPrediction, CTD, and SuperPred databases, while glioblastoma-related proteins were identified using GeneCards, OMIM, and TTD. A protein-protein interaction (PPI) network was constructed from vortioxetine targets also involved in glioblastoma to identify core (hub) targets, which were then characterized by GO and KEGG pathway enrichment analyses using DAVID. Cytoscape was utilized to generate a drug-pathway-target-disease network, and molecular docking simulations were performed to evaluate direct interactions between vortioxetine and core target proteins.</p><p><strong>Results: </strong>A total of 234 unique vortioxetine protein targets were identified. Among 234 vortioxetine targets identified, 48 were also related to glioblastoma. Topological analysis of the PPI network revealed five core targets: the serine/threonine kinase AKT1, transcription factor hypoxia-inducible factor (HIF)-1, cell adhesion molecule cadherin-E, NF-κB subunit p105, and prostaglandin-endoperoxide synthase 2. According to GO and KEGG pathway analyses, the anticancer efficacy of vortioxetine may be mediated by effects on glucose metabolism, cell migration, phosphorylation, inflammatory responses, apoptosis, and signaling via Rap1, chemical carcinogenesis-reactive oxygen species, and HIF-1. Molecular docking revealed moderately strong affinities between vortioxetine and four core targets.</p><p><strong>Conclusions: </strong>This study suggests that vortioxetine may inhibit glioblastoma development through direct effects on multiple targets, and further emphasizes the value of bioinformatics analyses for drug repositioning.</p>","PeriodicalId":14134,"journal":{"name":"International Journal of Neuropsychopharmacology","volume":" ","pages":""},"PeriodicalIF":4.5000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Neuropsychopharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ijnp/pyaf029","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Vortioxetine is a serotonin reuptake inhibitor and serotonin receptor modulator used for the treatment of major depressive disorder, but recent studies have also reported anticancer effects in models of glioblastoma. Given the well-established benefits of drug repositioning, we examined the pharmacological mechanism for these anticancer actions using bioinformatics and molecular docking.
Methods: Putative molecular targets for vortioxetine were identified by searching DrugBank, GeneCards, SwissTargetPrediction, CTD, and SuperPred databases, while glioblastoma-related proteins were identified using GeneCards, OMIM, and TTD. A protein-protein interaction (PPI) network was constructed from vortioxetine targets also involved in glioblastoma to identify core (hub) targets, which were then characterized by GO and KEGG pathway enrichment analyses using DAVID. Cytoscape was utilized to generate a drug-pathway-target-disease network, and molecular docking simulations were performed to evaluate direct interactions between vortioxetine and core target proteins.
Results: A total of 234 unique vortioxetine protein targets were identified. Among 234 vortioxetine targets identified, 48 were also related to glioblastoma. Topological analysis of the PPI network revealed five core targets: the serine/threonine kinase AKT1, transcription factor hypoxia-inducible factor (HIF)-1, cell adhesion molecule cadherin-E, NF-κB subunit p105, and prostaglandin-endoperoxide synthase 2. According to GO and KEGG pathway analyses, the anticancer efficacy of vortioxetine may be mediated by effects on glucose metabolism, cell migration, phosphorylation, inflammatory responses, apoptosis, and signaling via Rap1, chemical carcinogenesis-reactive oxygen species, and HIF-1. Molecular docking revealed moderately strong affinities between vortioxetine and four core targets.
Conclusions: This study suggests that vortioxetine may inhibit glioblastoma development through direct effects on multiple targets, and further emphasizes the value of bioinformatics analyses for drug repositioning.
期刊介绍:
The central focus of the journal is on research that advances understanding of existing and new neuropsychopharmacological agents including their mode of action and clinical application or provides insights into the biological basis of psychiatric disorders and thereby advances their pharmacological treatment. Such research may derive from the full spectrum of biological and psychological fields of inquiry encompassing classical and novel techniques in neuropsychopharmacology as well as strategies such as neuroimaging, genetics, psychoneuroendocrinology and neuropsychology.