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精神分裂症的影像学表型与基因型

Imaging phenotypes and genotypes in schizophrenia.

作者信息

Turner Jessica A, Smyth Padhraic, Macciardi Fabio, Fallon James H, Kennedy James L, Potkin Steven G

机构信息

Department of Psychiatry and Human Behavior, University of California, Irvine, CA 92697, USA.

出版信息

Neuroinformatics. 2006 Winter;4(1):21-49. doi: 10.1385/NI:4:1:21.

Abstract

Schizophrenia is associated with subtle structural and functional brain abnormalities. Both recent and classical data suggest that it is a heterogeneous disorder that is clearly heritable. The cause and course of schizophrenia are poorly understood, and classical categories of clinical symptoms have not been particularly useful in identifying its pathophysiology or predicting its treatment. The possible genetic risk factors for schizophrenia are numerous; however, the connection between the genotype and the time-course, or the multifaceted symptoms of the disease, has yet to be established. Brain imaging methods that study the structure or function of the cortical and subcortical regions have also identified distinct patterns that distinguish schizophrenics from controls, and that may identify meaningful subtypes of schizophrenia. The predictive relationship between these imaging phenotypes and disease characteristics such as treatment response is only beginning to be revealed. The emergence of the field of imaging genetics, combining genetic, and neuroimaging data, holds much promise for the deeper understanding and improved treatment of diseases such as schizophrenia. In this article we review some of the key findings in imaging phenotyping and genotyping of schizophrenia, and the initial endeavors at their combination into more meaningful and predictive patterns, or endophenotypes identifying the relationships among clinical symptoms, course, genes, and the underlying pathophysiology.

摘要

精神分裂症与大脑细微的结构和功能异常有关。近期和经典数据均表明,它是一种具有明显遗传性的异质性疾病。精神分裂症的病因和病程尚不清楚,经典的临床症状分类在识别其病理生理学或预测其治疗方面并无特别作用。精神分裂症可能的遗传风险因素众多;然而,基因型与疾病的时间进程或多方面症状之间的联系尚未确立。研究皮质和皮质下区域结构或功能的脑成像方法也已识别出可区分精神分裂症患者与对照组的不同模式,这些模式可能识别出有意义的精神分裂症亚型。这些成像表型与疾病特征(如治疗反应)之间的预测关系才刚刚开始显现。将基因数据和神经成像数据相结合的成像遗传学领域的出现,有望更深入地理解和改善对精神分裂症等疾病的治疗。在本文中,我们回顾了精神分裂症成像表型分析和基因分型的一些关键发现,以及将它们组合成更有意义和预测性的模式(即内表型,用于识别临床症状、病程、基因和潜在病理生理学之间的关系)的初步尝试。

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