Gene Expressions Preferentially Influence Cortical Thickness of Human Connectome Project Atlas Parcellated Regions in First-Episode Antipsychotic-Naïve Psychoses.

Bridget N McGuigan, Tales Santini, Matcheri S Keshavan, Konasale M Prasad
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Abstract

Altered gene expressions may mechanistically link genetic factors with brain morphometric alterations. Existing gene expression studies have examined selected morphometric features using low-resolution atlases in medicated schizophrenia. We examined the relationship of gene expression with cortical thickness (CT), surface area (SA), and gray matter volume (GMV) of first-episode antipsychotic-naïve psychosis patients (FEAP = 85) and 81 controls, hypothesizing that gene expressions often associated with psychosis will differentially associate with different morphometric features. We explored such associations among schizophrenia and non-schizophrenia subgroups within FEAP group compared to controls. We mapped 360 Human Connectome Project atlas-based parcellations on brain MRI on to the publicly available brain gene expression data from the Allen Brain Institute collection. Significantly correlated genes were investigated using ingenuity pathway analysis to elucidate molecular pathways. CT but not SA or GMV correlated with expression of 1137 out of 15 633 genes examined controlling for age, sex, and average CT. Among these ≈19%, ≈39%, and 8% of genes were unique to FEAP, schizophrenia, and non-schizophrenia, respectively. Variants of 10 among these 1137 correlated genes previously showed genome-wide-association with schizophrenia. Molecular pathways associated with CT were axonal guidance and sphingosine pathways (common to FEAP and controls), selected inflammation pathways (unique to FEAP), synaptic modulation (unique to schizophrenia), and telomere extension (common to NSZ and healthy controls). We demonstrate that different sets of genes and molecular pathways may preferentially influence CT in different diagnostic groups. Genes with altered expressions correlating with CT and associated pathways may be targets for pathophysiological investigations and novel treatment designs.

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基因表达优先影响首发Antipsychotic-Naïve精神病患者大脑连接体项目图谱分割区域的皮质厚度。
基因表达的改变可能在机制上将遗传因素与大脑形态改变联系起来。现有的基因表达研究已经使用低分辨率地图集检查了药物精神分裂症中选择的形态特征。我们研究了首发antipsychotic-naïve精神病患者(FEAP = 85)和81名对照者的基因表达与皮质厚度(CT)、表面积(SA)和灰质体积(GMV)的关系,并假设与精神病相关的基因表达与不同的形态特征之间存在差异。与对照组相比,我们探讨了FEAP组中精神分裂症和非精神分裂症亚组之间的这种关联。我们将360个基于人类连接组计划图谱的脑MRI分组映射到艾伦脑研究所收集的公开可用的脑基因表达数据上。利用独创性途径分析研究了显著相关基因,以阐明分子途径。CT而非SA或GMV与15633个基因中的1137个基因的表达相关,这些基因受年龄、性别和平均CT的控制。在这些基因中,分别有≈19%、≈39%和8%的基因是FEAP、精神分裂症和非精神分裂症独有的。在这1137个相关基因中,有10个变异先前显示与精神分裂症全基因组相关。与CT相关的分子通路是轴突引导和鞘氨酸通路(FEAP和对照组共有)、选择性炎症通路(FEAP特有)、突触调节(精神分裂症特有)和端粒延伸(NSZ和健康对照组共有)。我们证明不同的基因和分子途径可能优先影响不同诊断组的CT。与CT和相关通路相关的表达改变的基因可能是病理生理学研究和新治疗设计的目标。
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