将精神分裂症的多基因风险与磁共振成像脑测量的变化联系起来:全面的系统综述。
Linking Polygenic Risk of Schizophrenia to Variation in Magnetic Resonance Imaging Brain Measures: A Comprehensive Systematic Review.
机构信息
Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia.
Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC, Australia.
出版信息
Schizophr Bull. 2024 Jan 1;50(1):32-46. doi: 10.1093/schbul/sbad087.
BACKGROUND AND HYPOTHESIS
Schizophrenia is highly heritable, with a polygenic effect of many genes conferring risk. Evidence on whether cumulative risk also predicts alterations in brain morphology and function is inconsistent. This systematic review examined evidence for schizophrenia polygenic risk score (sczPRS) associations with commonly used magnetic resonance imaging (MRI) measures. We expected consistent evidence to emerge for significant sczPRS associations with variation in structure and function, specifically in frontal, temporal, and insula cortices that are commonly implicated in schizophrenia pathophysiology.
STUDY DESIGN
In accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched MEDLINE, Embase, and PsycINFO for peer-reviewed studies published between January 2013 and March 2022. Studies were screened against predetermined criteria and National Institutes of Health (NIH) quality assessment tools.
STUDY RESULTS
In total, 57 studies of T1-weighted structural, diffusion, and functional MRI were included (age range = 9-80 years, Nrange = 64-76 644). We observed moderate, albeit preliminary, evidence for higher sczPRS predicting global reductions in cortical thickness and widespread variation in functional connectivity, and to a lesser extent, region-specific reductions in frontal and temporal volume and thickness. Conversely, sczPRS does not predict whole-brain surface area or gray/white matter volume. Limited evidence emerged for sczPRS associations with diffusion tensor measures of white matter microstructure in a large community sample and smaller cohorts of children and young adults. These findings were broadly consistent across community and clinical populations.
CONCLUSIONS
Our review supports the hypothesis that schizophrenia is a disorder of disrupted within and between-region brain connectivity, and points to specific whole-brain and regional MRI metrics that may provide useful intermediate phenotypes.
背景与假说
精神分裂症具有高度遗传性,许多基因的多基因效应赋予了患病风险。关于累积风险是否也能预测大脑形态和功能的改变,目前的证据并不一致。本系统综述旨在研究精神分裂症多基因风险评分(sczPRS)与常用磁共振成像(MRI)测量结果之间的关联。我们预计会有一致的证据表明,sczPRS 与结构和功能的变化存在显著关联,特别是在额、颞和脑岛皮质,这些区域通常与精神分裂症的病理生理学有关。
研究设计
根据系统评价和荟萃分析的首选报告项目(PRISMA)指南,我们在 MEDLINE、Embase 和 PsycINFO 中搜索了 2013 年 1 月至 2022 年 3 月期间发表的同行评审研究。研究是根据预先确定的标准和美国国立卫生研究院(NIH)质量评估工具进行筛选的。
研究结果
共有 57 项 T1 加权结构、扩散和功能 MRI 研究被纳入(年龄范围为 9-80 岁,N 范围为 64-76644)。我们观察到,较高的 sczPRS 与皮质厚度的整体降低和功能连接的广泛变化有关,虽然关联程度适中,但具有初步证据,而与额颞叶体积和厚度的区域性降低的关联则较弱。相反,sczPRS 并不预测全脑表面积或灰质/白质体积。在大型社区样本和儿童及青年人群的较小队列中,有限的证据表明 sczPRS 与白质微观结构的扩散张量测量值存在关联。这些发现广泛适用于社区和临床人群。
结论
本综述支持这样的假设,即精神分裂症是一种大脑内部和区域间连接中断的疾病,并指出了特定的全脑和区域性 MRI 指标,这些指标可能提供有用的中间表型。