Evidence map›Paper›PMID 33910328›Full record

ArticlePsychiatry investigation2021

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

Wanhong Peng, Qingyu Tan, Minglan Yu, Ping Wang, Tingting Wang, Jixiang Yuan, Dongmei Liu, Dechao Chen, Chaohua Huang, Youguo Tan and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Psychiatry investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Wanhong PengDepartment of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Qingyu TanDepartment of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Minglan YuMedical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Ping WangDepartment of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Tingting WangDepartment of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Jixiang YuanDepartment of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Dongmei LiuDepartment of Psychiatry, Yibin Fourth People's Hospital, Yibin, China.
Dechao ChenDepartment of Psychiatry, Yibin Fourth People's Hospital, Yibin, China.
Chaohua HuangDepartment of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Youguo TanZigong Mental Health Center, Zigong, China.
Kezhi LiuDepartment of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Bo XiangDepartment of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xuemei LiangDepartment of Psychiatry, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Affiliated Hospital of Southwest Medical University · CNSecond People’s Hospital of Yibin · CNZigong First People's Hospital · CN

Funding

Key projects of the Sichuan Provincial Education Department 18ZA0534Luzhou Science and Technology Bureau 2016-S-67(7/23)Luzhou Science and Technology Bureau 2017-S-40(4/18)Ministry of education ChunhuiNational Nature Science Foundation of China 82001414Open Program of Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan ProvinceSichuan provincial health and Family Planning Commission 16PJ562Southwest Medical University-Luzhou Government 2015LZCYD-S06(5/11)Southwest Medical University-Luzhou Government 2017LZXNYD-Z02Youth Project of Affiliated Hospital of Southwest Medical University 2017-PT-9, 2011(37)
6 · The paper itself

Abstract

objectiveSchizophrenia (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).

methodsTranscriptome 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.

resultsThree 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.

conclusionIt is suggested that the long-term potentiation pathways were associated with biological mechanism of MECT.

Indexed as

Electroconvulsive therapyNetwork analysisSchizophreniaWGCNA

Identifiers

PMID33910328
PMCPMC8169330
OpenAlexW3159506196

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.