Evidence mapPaperPMID 40523911Full record

ArticleTranslational psychiatry2025

The molecular mechanisms through which psilocybin prevents suicide: evidence from network pharmacology and molecular docking analyses.

Ying Zhang, Lei Yang, Qiuyu Zhang, Chao Li, Fuqiang Mao, Chuanjun Zhuo

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
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 synthesis or guideline pooled it.

  1. Pooled it
  2. Psychedelics in treatment-resistant depression: a comprehensive review of mechanisms, clinical evidence, and recommendations.Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2026
    Review
  3. Review
  4. Article
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

6 authors.

Ying ZhangLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Mental Health Center, Tianjin, 300222, China.
Lei YangLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Mental Health Center, Tianjin, 300222, China.ORCID http://orcid.org/0000-0002-9466-3344
Qiuyu ZhangLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Mental Health Center, Tianjin, 300222, China.ORCID http://orcid.org/0009-0000-2794-6777
Chao LiLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Mental Health Center, Tianjin, 300222, China.ORCID http://orcid.org/0009-0006-6950-9413
Fuqiang MaoDepartment of Psychiatry and Psychology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300041, China.
Chuanjun ZhuoLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Mental Health Center, Tianjin, 300222, China. zhuochuanjun@tmu.edu.cn.ORCID http://orcid.org/0000-0002-3793-550X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psilocybin is among the most extensively studied psychedelics, with previous research suggesting its potential therapeutic role in suicide prevention. However, the precise mechanisms through which psilocybin may aid in suicide prevention remain unclear. This study thus employed network pharmacology and molecular docking tools to explore the mechanisms by which psilocybin may contribute to suicide prevention. Relevant drug- and disease-related targets were identified. Overlapping drug- and disease-related targets were extracted from the bioinformatics platform and imported into the STRING database to construct a protein-protein interaction (PPI) network. Key targets were selected based on topological parameters derived from network analyses conducted using Cytoscape 3.10.1. These key targets were further analyzed using GO and KEGG enrichment approaches conducted with the DAVID tool. A drug-disease-target-pathway network was subsequently constructed in Cytoscape 3.10.1. Finally, molecular docking analyses were performed to assess psilocybin's potential to interact with key targets using AutoDock Vina and the PyMOL software. A total of 46 potential targets associated with psilocybin and relevant to suicide treatment were identified, of which 13 were imported into the DAVID tool for enrichment analyses. Network analyses identified four targets-HTR2A, HTR2C, HTR7, and PRKACA-that may serve as therapeutic targets for psilocybin in suicide prevention. Enrichment analysis outcomes suggested that psilocybin may prevent suicide by modulating the serotonergic synapse and calcium signaling pathways. Molecular docking analyses revealed that HTR2A, HTR2C, HTR7, and PRKACA strongly bind to psilocybin. This study provides insights into the molecular mechanisms underlying the potential role of psilocybin in suicide prevention, offering a novel basis for further research.

Indexed as

Molecular Docking SimulationNetwork PharmacologyPsilocybinSuicide PreventionComputational BiologyDatabases, ProteinHumansProtein Interaction MapsSuicidePsilocybin

Identifiers

PMID40523911
PMCPMC12170861

What Socratic holds

Textmetadata
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Registered trials

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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 Socratic graph.