Evidence map›Paper›PMID 40312983›Full record

ArticleThe international journal of neuropsychopharmacology2025

Molecular targets of vortioxetine mediating glioblastoma suppression revealed by gene and protein network analyses and molecular docking simulations.

Chuanjun Zhuo, Chao Li, Qiuyu Zhang, Lei Yang, Ying Zhang, Ximing Chen, Xiaoyan Ma, Ranli Li, Lina Wang, Hongjun Tian

Abstract read
In one paragraph

Article in The international journal of neuropsychopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Therapeutic Potential ofInternational journal of general medicine · 2026
    Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Chuanjun ZhuoComputational Biology and Computational Psychiatry Center (CBCP), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.ORCID 0000-0002-3793-550X
Chao LiComputational Biology and Computational Psychiatry Center (CBCP), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.
Qiuyu ZhangComputational Biology and Computational Psychiatry Center (CBCP), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.
Lei YangComputational Biology and Computational Psychiatry Center (CBCP), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.
Ying ZhangComputational Biology and Computational Psychiatry Center (CBCP), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.
Ximing ChenComputational Biology and Computational Psychiatry Center (CBCP), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.
Xiaoyan MaComputational Biology and Computational Psychiatry Center (CBCP), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.
Ranli LiComputational Biology and Computational Psychiatry Center (CBCP), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.
Lina WangComputational Biology and Computational Psychiatry Center (CBCP), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.
Hongjun TianComputational Biology and Computational Psychiatry Center (CBCP), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.

Funding

National Natural Science Foundation of China 81871052National Natural Science Foundation of China 82171503
6 · The paper itself

Abstract

backgroundVortioxetine 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.

methodsPutative molecular targets for vortioxetine were identified by searching DrugBank, GeneCards, SwissTargetPrediction, Comparative Toxicogenomics Database, and SuperPred databases, while glioblastoma-related proteins were identified using GeneCards, Online Mendelian Inheritance in Man; , and Therapeutic Target Database . 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 Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses using database for annotation, visualization, and integrated discovery. 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.

resultsA 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 5 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 4 core targets.

conclusionsThis 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.

Indexed as

Antineoplastic AgentsBrain NeoplasmsGene Regulatory NetworksGlioblastomaMolecular Docking SimulationProtein Interaction MapsSelective Serotonin Reuptake InhibitorsVortioxetineComputational BiologyDrug RepositioningHumansAntineoplastic AgentsSelective Serotonin Reuptake InhibitorsVortioxetineglioblastomamolecular dockingnetwork pharmacologyvortioxetine

Identifiers

PMID40312983
PMCPMC12147098

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.