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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Neuropsychiatric Association
2021
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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. |
format | Online Article Text |
id | pubmed-8169330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Korean Neuropsychiatric Association |
record_format | MEDLINE/PubMed |
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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