Network pharmacology and molecular docking to explore mechanisms of clozapine-induced cardiac arrest.

IF 4.1 2区 医学 Q2 NEUROSCIENCES Journal of Psychiatry & Neuroscience Pub Date : 2025-01-03 Print Date: 2025-01-01 DOI:10.1503/jpn.240065
Ximing Chen, Chuanjun Zhuo, Lei Yang, Qiuyu Zhang, Li Chao
{"title":"Network pharmacology and molecular docking to explore mechanisms of clozapine-induced cardiac arrest.","authors":"Ximing Chen, Chuanjun Zhuo, Lei Yang, Qiuyu Zhang, Li Chao","doi":"10.1503/jpn.240065","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Clozapine is superior to all other antipsychotics in treating schizophrenia in terms of its curative efficacy; however, this drug is prescribed only as a last resort in the treatment of schizophrenia, given its potential to induce cardiac arrest. The mechanism of clozapine-induced cardiac arrest remains unclear, so we aimed to elucidate the potential mechanisms of clozapine-induced cardiac arrest using network pharmacology and molecular docking.</p><p><strong>Methods: </strong>We identified and analyzed the overlap between potential cardiac arrest-related target genes and clozapine target genes. We conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. We then constructed a protein-protein interaction (PPI) network and screened the core targets. We used molecular docking to evaluate the binding energy between clozapine and core targets.</p><p><strong>Results: </strong>We identified a total of 2405 target genes related to cardiac arrest and 107 target genes for clozapine. Among these, we found 41 overlapping target genes. The main enriched GO biological processes included the upregulation of the mitogen-activated protein kinase (MAPK) cascade and the adenylate cyclase-activating adrenergic receptor signalling pathway. The KEGG enrichment analysis showed that the neuroactive ligand-receptor interaction and the forkhead box O (FoxO) signalling pathway seemed to be the key signalling pathways involved in clozapine-induced cardiac arrest. The 7 core targets identified in the established PPI network were G-protein-coupled receptor kinase 2, 5-hydroxytryptamine 2A receptor, dopamine D2 receptor, glycogen synthase kinase 3β, cyclin-dependent kinase 2, CREB-binding protein, and signal transducer and activator of transcription 3. The molecular docking results indicated a high affinity between clozapine and all of these core targets.</p><p><strong>Limitations: </strong>The relatively small scope of the predictive and modelling methods, which predominantly comprised network pharmacology and molecular docking strategies, is a limitation of this study.</p><p><strong>Conclusion: </strong>Network pharmacology and molecular docking approaches unveiled target genes for clozapine and potential mechanisms by which it may cause cardiac arrest, including the MAPK cascade, neuroactive ligand-receptor interactions, and the FoxO signalling pathway.</p>","PeriodicalId":50073,"journal":{"name":"Journal of Psychiatry & Neuroscience","volume":"50 1","pages":"E1-E10"},"PeriodicalIF":4.1000,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Psychiatry & Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1503/jpn.240065","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"Print","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Clozapine is superior to all other antipsychotics in treating schizophrenia in terms of its curative efficacy; however, this drug is prescribed only as a last resort in the treatment of schizophrenia, given its potential to induce cardiac arrest. The mechanism of clozapine-induced cardiac arrest remains unclear, so we aimed to elucidate the potential mechanisms of clozapine-induced cardiac arrest using network pharmacology and molecular docking.

Methods: We identified and analyzed the overlap between potential cardiac arrest-related target genes and clozapine target genes. We conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. We then constructed a protein-protein interaction (PPI) network and screened the core targets. We used molecular docking to evaluate the binding energy between clozapine and core targets.

Results: We identified a total of 2405 target genes related to cardiac arrest and 107 target genes for clozapine. Among these, we found 41 overlapping target genes. The main enriched GO biological processes included the upregulation of the mitogen-activated protein kinase (MAPK) cascade and the adenylate cyclase-activating adrenergic receptor signalling pathway. The KEGG enrichment analysis showed that the neuroactive ligand-receptor interaction and the forkhead box O (FoxO) signalling pathway seemed to be the key signalling pathways involved in clozapine-induced cardiac arrest. The 7 core targets identified in the established PPI network were G-protein-coupled receptor kinase 2, 5-hydroxytryptamine 2A receptor, dopamine D2 receptor, glycogen synthase kinase 3β, cyclin-dependent kinase 2, CREB-binding protein, and signal transducer and activator of transcription 3. The molecular docking results indicated a high affinity between clozapine and all of these core targets.

Limitations: The relatively small scope of the predictive and modelling methods, which predominantly comprised network pharmacology and molecular docking strategies, is a limitation of this study.

Conclusion: Network pharmacology and molecular docking approaches unveiled target genes for clozapine and potential mechanisms by which it may cause cardiac arrest, including the MAPK cascade, neuroactive ligand-receptor interactions, and the FoxO signalling pathway.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
6.80
自引率
2.30%
发文量
51
审稿时长
2 months
期刊介绍: The Journal of Psychiatry & Neuroscience publishes papers at the intersection of psychiatry and neuroscience that advance our understanding of the neural mechanisms involved in the etiology and treatment of psychiatric disorders. This includes studies on patients with psychiatric disorders, healthy humans, and experimental animals as well as studies in vitro. Original research articles, including clinical trials with a mechanistic component, and review papers will be considered.
期刊最新文献
Correlation between polygenic risk scores of depression and cortical morphology networks. Functional connectivity gradients and neurotransmitter maps among patients with mild cognitive impairment and depression symptoms. Network pharmacology and molecular docking to explore mechanisms of clozapine-induced cardiac arrest. Neuroscience education for people living with addiction. Effective connectivity of default mode network subsystems and automatic smoking behaviour among males.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1