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

BACKGROUND: Schizophrenia 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 sc...

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Autores principales: Zhu, Yue, Wang, Shuai, Gong, Xiaohong, Edmiston, Elliot K., Zhong, Suyu, Li, Chao, Zhao, Pengfei, Wei, Shengnan, Jiang, Xiaowei, Qin, Yue, Kang, Jujiao, Wang, Yi, Sun, Qikun, Gong, Gaolang, Wang, Fei, Tang, Yanqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529637/
https://www.ncbi.nlm.nih.gov/pubmed/35048853
http://dx.doi.org/10.1192/bjp.2021.47
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author Zhu, Yue
Wang, Shuai
Gong, Xiaohong
Edmiston, Elliot K.
Zhong, Suyu
Li, Chao
Zhao, Pengfei
Wei, Shengnan
Jiang, Xiaowei
Qin, Yue
Kang, Jujiao
Wang, Yi
Sun, Qikun
Gong, Gaolang
Wang, Fei
Tang, Yanqing
author_facet Zhu, Yue
Wang, Shuai
Gong, Xiaohong
Edmiston, Elliot K.
Zhong, Suyu
Li, Chao
Zhao, Pengfei
Wei, Shengnan
Jiang, Xiaowei
Qin, Yue
Kang, Jujiao
Wang, Yi
Sun, Qikun
Gong, Gaolang
Wang, Fei
Tang, Yanqing
author_sort Zhu, Yue
collection PubMed
description BACKGROUND: Schizophrenia 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. AIMS: To 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. METHOD: A 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. RESULTS: There 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. CONCLUSIONS: The 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.
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spelling pubmed-85296372021-10-28 Associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia Zhu, Yue Wang, Shuai Gong, Xiaohong Edmiston, Elliot K. Zhong, Suyu Li, Chao Zhao, Pengfei Wei, Shengnan Jiang, Xiaowei Qin, Yue Kang, Jujiao Wang, Yi Sun, Qikun Gong, Gaolang Wang, Fei Tang, Yanqing Br J Psychiatry Paper BACKGROUND: Schizophrenia 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. AIMS: To 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. METHOD: A 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. RESULTS: There 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. CONCLUSIONS: The 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. Cambridge University Press 2021-07 /pmc/articles/PMC8529637/ /pubmed/35048853 http://dx.doi.org/10.1192/bjp.2021.47 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Paper
Zhu, Yue
Wang, Shuai
Gong, Xiaohong
Edmiston, Elliot K.
Zhong, Suyu
Li, Chao
Zhao, Pengfei
Wei, Shengnan
Jiang, Xiaowei
Qin, Yue
Kang, Jujiao
Wang, Yi
Sun, Qikun
Gong, Gaolang
Wang, Fei
Tang, Yanqing
Associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia
title Associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia
title_full Associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia
title_fullStr Associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia
title_full_unstemmed Associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia
title_short Associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia
title_sort associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia
topic Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529637/
https://www.ncbi.nlm.nih.gov/pubmed/35048853
http://dx.doi.org/10.1192/bjp.2021.47
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