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发现重度抑郁症的影像学内表型。

Discovering imaging endophenotypes for major depression.

机构信息

Psychiatric University Hospital, University of Berne, Switzerland.

出版信息

Mol Psychiatry. 2011 Jun;16(6):604-19. doi: 10.1038/mp.2011.23.

Abstract

Psychiatry research lacks an in-depth understanding of mood disorders phenotypes, leading to limited success of genetics studies of major depressive disorder (MDD). The dramatic progress in safe and affordable magnetic resonance-based imaging methods has the potential to identify subtle abnormalities of neural structures, connectivity and function in mood disordered subjects. This review paper presents strategies to improve the phenotypic definition of MDD by proposing imaging endophenotypes derived from magnetic resonance spectroscopy measures, such as cortical gamma-amino butyric acid (GABA) and glutamate/glutamine concentrations, and from measures of resting-state activity and functional connectivity. The proposed endophenotypes are discussed regarding specificity, mood state-independence, heritability, familiarity, clinical relevance and possible associations with candidate genes. By improving phenotypic definitions, the discovery of new imaging endophenotypes will increase the power of candidate gene and genome-wide associations studies. It will also help to develop and evaluate novel therapeutic treatments and enable clinicians to apply individually tailored therapeutic approaches. Finally, improvements of the phenotypic definition of MDD based on neuroimaging measures will contribute to a new classification system of mood disorders based on etiology and pathophysiology.

摘要

精神病学研究对心境障碍表型缺乏深入了解,导致重度抑郁症(MDD)遗传学研究的成功有限。基于磁共振的安全且负担得起的成像方法的显著进展,有可能识别出心境障碍受试者的神经结构、连接和功能的细微异常。本综述文章提出了通过提出源自磁共振波谱测量的成像内表型(如皮质γ-氨基丁酸(GABA)和谷氨酸/谷氨酰胺浓度)以及静息状态活动和功能连接的测量的方法来改善 MDD 的表型定义。讨论了所提出的内表型的特异性、心境状态独立性、遗传性、熟悉性、临床相关性和与候选基因的可能关联。通过改善表型定义,发现新的成像内表型将增加候选基因和全基因组关联研究的效力。它还有助于开发和评估新的治疗方法,并使临床医生能够应用个体化的治疗方法。最后,基于神经影像学测量改善 MDD 的表型定义将有助于基于病因和发病机制的新的心境障碍分类系统。

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