Psychiatry Investig.  2021 May;18(5):385-391. 10.30773/pi.2020.0410.

Transcriptome Sequencing Reveals the Potential Mechanisms of Modified Electroconvulsive Therapy in Schizophrenia

Affiliations
  • 1Department of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, China
  • 2Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China
  • 3Zigong Mental Health Research Center, Zigong Mental Health Center, Zigong, China
  • 4Department of Psychiatry, Yibin Fourth People’s Hospital, Yibin, China
  • 5Zigong Mental Health Center, Zigong, China

Abstract


Objective
Schizophrenia (SCZ) is one of the most common and severe mental disorders. Modified electroconvulsive therapy (MECT) is the most effective therapy for all kinds of SCZ, and the underlying molecular mechanism remains unclear. This study is aim to detect the molecule mechanism by constructing the transcriptome dataset from SCZ patients treated with MECT and health controls (HCs).
Methods
Transcriptome sequencing was performed on blood samples of 8 SCZ (BECT: before MECT; AECT: after MECT) and 8 HCs, weighted gene co-expression network analysis (WGCNA) was used to cluster the different expression genes, enrichment and protein-protein interaction (PPI) enrichment analysis were used to detect the related pathways.
Results
Three gene modules (black, blue and turquoise) were significantly associated with MECT, enrichment analysis found that the long-term potentiation pathway was associated with MECT. PPI enrichment p-value of black, blue, turquoise module are 0.00127, <1×10-16 and 1.09×10-13, respectively. At the same time, EP300 is a key node in the PPI for genes in black module, which got from the transcriptome sequencing data.
Conclusion
It is suggested that the long-term potentiation pathways were associated with biological mechanism of MECT.

Keyword

Electroconvulsive therapy, WGCNA, Network analysis, Schizophrenia
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