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논문 기본 정보

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학술저널
저자정보
Wanhong Peng (Department of Psychiatry Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province) Qingyu Tan (Department of Psychiatry Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province) Minglan Yu (Medical Laboratory Center Affiliated Hospital of Southwest Medical University) Ping Wang (Department of Psychiatry Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province) Tingting Wang (Department of Psychiatry Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province) Jixiang Yuan (Department of Psychiatry Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province) Dongmei Liu (Department of Psychiatry Yibin Fourth People’s Hospital) Dechao Chen (Department of Psychiatry Yibin Fourth People’s Hospital) Chaohua Huang (Department of Psychiatry Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province) Youguo Tan (Zigong Mental Health Center) Kezhi Liu (Department of Psychiatry Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province) Bo Xiang (Department of Psychiatry Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province) Xuemei Liang (Department of Psychiatry Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province)
저널정보
대한신경정신의학회 PSYCHIATRY INVESTIGATION PSYCHIATRY INVESTIGATION 제18권 제5호
발행연도
2021.1
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385 - 391 (7page)

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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<sup>-16</sup> and 1.09×10<sup>-13</sup>, 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.
#Electroconvulsive therapy #WGCNA #Network analysis #Schizophrenia.

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참고문헌 (35)

참고문헌 신청
Fatima W / 2020 / Chromosomal region 1q24. 1 is associated with increased risk of schizophrenia in Pakistani population / Gene 734:144390 google schola Leucht S / 2009 / Definitions of response and remission in schizophrenia : recommendations for their use and their presentation / Acta Psychiatr Scand Suppl (438):7~14 google schola Leucht S / 2013 / Comparative efficacy and tolerability of 15 antipsychotic drugs in schizophrenia : a multiple-treatments meta-analysis / Lancet 382:951~962 google schola Oehl M / 2000 / Compliance with antipsychotic treatment / Acta Psychiatr Scand Suppl (407):83~86 google schola Tang YL / 2012 / Electroconvulsive therapy in China : clinical practice and research on efficacy / J ECT 28:206~212 google schola

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