Evidence map›Paper›PMID 35048853›Full record

ArticleThe British journal of psychiatry : the journal of mental science2021

Associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia.

Yue Zhu, Shuai Wang, Xiaohong Gong, Elliot K Edmiston, Suyu Zhong, Chao Li, Pengfei Zhao, Shengnan Wei, Xiaowei Jiang, Yue Qin and 6 more

Open access · hybridAbstract read
In one paragraph

Article in The British journal of psychiatry : the journal of mental science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 16 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

16 authors at 7 institutions in 2 countries.

Yue ZhuDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, PR China; and Brain Function Research Section, The First Affiliated Hospital of China Medical University, PR China.
Shuai WangDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, PR China; Brain Function Research Section, The First Affiliated Hospital of China Medical University, PR China; and Department of Psychology, Weifang Medical University, PR China.
Xiaohong GongState Key Laboratory of Genetic Engineering and Human Phenome Institute, School of Life Sciences, Fudan University, PR China.
Elliot K EdmistonSchool of Medicine, University of Pittsburgh, USA.
Suyu ZhongState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China.
Chao LiBrain Function Research Section, The First Affiliated Hospital of China Medical University, PR China; and Department of Radiology, The First Affiliated Hospital of China Medical University, PR China.
Pengfei ZhaoDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, PR China; and Brain Function Research Section, The First Affiliated Hospital of China Medical University, PR China.
Shengnan WeiBrain Function Research Section, The First Affiliated Hospital of China Medical University, PR China; and Department of Radiology, The First Affiliated Hospital of China Medical University, PR China.
Xiaowei JiangBrain Function Research Section, The First Affiliated Hospital of China Medical University, PR China; and Department of Radiology, The First Affiliated Hospital of China Medical University, PR China.
Yue QinState Key Laboratory of Genetic Engineering and Human Phenome Institute, School of Life Sciences, Fudan University, PR China.ORCID 0000-0003-2528-935X
Jujiao KangState Key Laboratory of Genetic Engineering and Human Phenome Institute, School of Life Sciences, Fudan University, PR China.
Yi WangState Key Laboratory of Genetic Engineering and Human Phenome Institute, School of Life Sciences, Fudan University, PR China.
Qikun SunDepartment of Radiation Oncology, The First Affiliated Hospital of China Medical University, PR China.
Gaolang GongState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China.
Fei WangDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, PR China; Brain Function Research Section, The First Affiliated Hospital of China Medical University, PR China; Department of Radiology, The First Affiliated Hospital of China Medical University, PR China; and Department of Psychiatry, Yale School of Medicine, USA.ORCID 0000-0002-9668-2506
Yanqing TangDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, PR China; Brain Function Research Section, The First Affiliated Hospital of China Medical University, PR China; and Department of Geriatrics, The First Affiliated Hospital of China Medical University, PR China.
First Affiliated Hospital of Liaoning Medical University · CNFudan University · CNBeijing Normal University · CNChina Medical University · CNUniversity of Pittsburgh · USWeifang Medical University · CNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchizophrenia is considered a polygenic disorder. People with schizophrenia and those with genetic high risk of schizophrenia (GHR) have presented with similar neurodevelopmental deficits in hemispheric asymmetry. The potential associations between neurodevelopmental abnormalities and schizophrenia-related risk genes in both schizophrenia and those with GHR remains unclear.

aimsTo investigate the shared and specific alternations to the structural network in people with schizophrenia and those with GHR. And to identify an association between vulnerable structural network alternation and schizophrenia-related risk genes.

methodA total of 97 participants with schizophrenia, 79 participants with GHR and 192 healthy controls, underwent diffusion tensor imaging (DTI) scans at a single site. We used graph theory to characterise hemispheric and whole-brain structural network topological metrics. For 26 people in the schizophrenia group and 48 in the GHR group with DTI scans we also calculated their schizophrenia-related polygenic risk scores (SZ-PRSs). The correlations between alterations to the structural network and SZ-PRSs were calculated. Based on the identified genetic-neural association, bioinformatics enrichment was explored.

resultsThere were significant hemispheric asymmetric deficits of nodal efficiency, global and local efficiency in the schizophrenia and GHR groups. Hemispheric asymmetric deficit of local efficiency was significantly positively correlated with SZ-PRSs in the schizophrenia and GHR groups. Bioinformatics enrichment analysis showed that these risk genes may be linked to signal transduction, neural development and neuron structure. The schizophrenia group showed a significant decrease in the whole-brain structural network.

conclusionsThe shared asymmetric deficits in people with schizophrenia and those with GHR, and the association between anomalous asymmetry and SZ-PRSs suggested a vulnerability imaging marker regulated by schizophrenia-related risk genes. Our findings provide new insights into asymmetry regulated by risk genes and provides a better understanding of the genetic-neural pathological underpinnings of schizophrenia.

Indexed as

SchizophreniaBrainDiffusion Tensor ImagingHumansMagnetic Resonance ImagingMultifactorial InheritanceRisk Factorsbrain asymmetrygenetic susceptibilitypolygenic risk scoreschizophreniaStructural network

Identifiers

PMID35048853
PMCPMC8529637
OpenAlexW3175349330

What OpenQuestion holds

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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.