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

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 constructi...

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Autores principales: Peng, Wanhong, Tan, Qingyu, Yu, Minglan, Wang, Ping, Wang, Tingting, Yuan, Jixiang, Liu, Dongmei, Chen, Dechao, Huang, Chaohua, Tan, Youguo, Liu, Kezhi, Xiang, Bo, Liang, Xuemei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169330/
https://www.ncbi.nlm.nih.gov/pubmed/33910328
http://dx.doi.org/10.30773/pi.2020.0410
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author Peng, Wanhong
Tan, Qingyu
Yu, Minglan
Wang, Ping
Wang, Tingting
Yuan, Jixiang
Liu, Dongmei
Chen, Dechao
Huang, Chaohua
Tan, Youguo
Liu, Kezhi
Xiang, Bo
Liang, Xuemei
author_facet Peng, Wanhong
Tan, Qingyu
Yu, Minglan
Wang, Ping
Wang, Tingting
Yuan, Jixiang
Liu, Dongmei
Chen, Dechao
Huang, Chaohua
Tan, Youguo
Liu, Kezhi
Xiang, Bo
Liang, Xuemei
author_sort Peng, Wanhong
collection PubMed
description 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.
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spelling pubmed-81693302021-06-09 Transcriptome Sequencing Reveals the Potential Mechanisms of Modified Electroconvulsive Therapy in Schizophrenia Peng, Wanhong Tan, Qingyu Yu, Minglan Wang, Ping Wang, Tingting Yuan, Jixiang Liu, Dongmei Chen, Dechao Huang, Chaohua Tan, Youguo Liu, Kezhi Xiang, Bo Liang, Xuemei Psychiatry Investig Original Article 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. Korean Neuropsychiatric Association 2021-05 2021-04-29 /pmc/articles/PMC8169330/ /pubmed/33910328 http://dx.doi.org/10.30773/pi.2020.0410 Text en Copyright © 2021 Korean Neuropsychiatric Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Peng, Wanhong
Tan, Qingyu
Yu, Minglan
Wang, Ping
Wang, Tingting
Yuan, Jixiang
Liu, Dongmei
Chen, Dechao
Huang, Chaohua
Tan, Youguo
Liu, Kezhi
Xiang, Bo
Liang, Xuemei
Transcriptome Sequencing Reveals the Potential Mechanisms of Modified Electroconvulsive Therapy in Schizophrenia
title Transcriptome Sequencing Reveals the Potential Mechanisms of Modified Electroconvulsive Therapy in Schizophrenia
title_full Transcriptome Sequencing Reveals the Potential Mechanisms of Modified Electroconvulsive Therapy in Schizophrenia
title_fullStr Transcriptome Sequencing Reveals the Potential Mechanisms of Modified Electroconvulsive Therapy in Schizophrenia
title_full_unstemmed Transcriptome Sequencing Reveals the Potential Mechanisms of Modified Electroconvulsive Therapy in Schizophrenia
title_short Transcriptome Sequencing Reveals the Potential Mechanisms of Modified Electroconvulsive Therapy in Schizophrenia
title_sort transcriptome sequencing reveals the potential mechanisms of modified electroconvulsive therapy in schizophrenia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169330/
https://www.ncbi.nlm.nih.gov/pubmed/33910328
http://dx.doi.org/10.30773/pi.2020.0410
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