Associations between hemispheric asymmetry and schizophrenia-related risk genes in people with schizophrenia and people at a genetic high risk of schizophrenia
Autor: | Elliot Kale Edmiston, Yi Wang, Yue Zhu, Jujiao Kang, Chao Li, Xiaohong Gong, Qikun Sun, Suyu Zhong, Gaolang Gong, Shuai Wang, Shengnan Wei, Fei Wang, Pengfei Zhao, Xiaowei Jiang, Yue Qin, Yanqing Tang |
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Rok vydání: | 2022 |
Předmět: |
Paper
Multifactorial Inheritance Schizophrenia (object-oriented programming) Growth hormone receptor behavioral disciplines and activities 03 medical and health sciences 0302 clinical medicine Risk Factors mental disorders Genetic predisposition Medicine Brain asymmetry Humans Association (psychology) Pathological Gene 030304 developmental biology 0303 health sciences business.industry Brain Neuropsychiatry Magnetic Resonance Imaging Psychiatry and Mental health Diffusion Tensor Imaging Structural network brain asymmetry polygenic risk score Schizophrenia business Neuroscience hormones hormone substitutes and hormone antagonists 030217 neurology & neurosurgery Genetic high risk genetic susceptibility |
Zdroj: | The British Journal of Psychiatry |
ISSN: | 1472-1465 0007-1250 |
Popis: | 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. |
Databáze: | OpenAIRE |
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