Mechanism of electroconvulsive therapy in schizophrenia: a bioinformatics analysis study of RNA-seq data.

Journal: Psychiatric genetics

Volume: 34

Issue: 2

Year of Publication: 2024

Affiliated Institutions:  Department of Psychiatry. Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province. Clinical Laboratory, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu Province. Department of Psychiatry, Yibin Fourth People's Hospital, Yibin. Department of Psychiatry, Zigong Mental Health Center, Zigong, Sichuan Province, China.

Abstract summary 

The molecular mechanism of electroconvulsive therapy (ECT) for schizophrenia remains unclear. The aim of this study was to uncover the underlying biological mechanisms of ECT in the treatment of schizophrenia using a transcriptional dataset.The peripheral blood mRNA sequencing data of eight patients (before and after ECT) and eight healthy controls were analyzed by integrated co-expression network analysis and the differentially expressed genes were analyzed by cluster analysis. Gene set overlap analysis was performed using the hypergeometric distribution of phypfunction in R. Associations of these gene sets with psychiatric disorders were explored. Tissue-specific enrichment analysis, gene ontology enrichment analysis, and protein-protein interaction enrichment analysis were used for gene set organization localization and pathway analysis.We found the genes of the green-yellow module were significantly associated with the effect of ECT treatment and the common gene variants of schizophrenia ( P  = 0.0061; family-wise error correction). The genes of the green-yellow module are mainly enriched in brain tissue and mainly involved in the pathways of neurotrophin, mitogen-activated protein kinase and long-term potentiation.Genes associated with the efficacy of ECT were predominantly enriched in neurotrophin, mitogen-activated protein kinase and long-term potentiation signaling pathways.

Authors & Co-authors:  Wang Yu Gu Liang Wang Peng Liu Chen Huang Tan Liu Xiang

Study Outcome 

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Statistics
Citations :  Andersen N, Krauth N, Nabavi S (2017). Hebbian plasticity in vivo: relevance and induction. Curr Opin Neurobiol 45:188–192.
Authors :  12
Identifiers
Doi : 10.1097/YPG.0000000000000362
SSN : 1473-5873
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
Study Design
Study Approach
Country of Study
Publication Country
England