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神经影像学基因组学预测重度抑郁症(MDD)。

Neuroimaging Genomics a Predictor of Major Depressive Disorder (MDD).

机构信息

Department of Radiodiagnosis, All India Institute of Medical Sciences, Bathinda, India.

Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, 151401, India.

出版信息

Mol Neurobiol. 2024 Jun;61(6):3427-3440. doi: 10.1007/s12035-023-03775-0. Epub 2023 Nov 22.

Abstract

Depression is a complex psychiatric disorder influenced by various genetic and environmental factors. Strong evidence has established the contribution of genetic factors in depression through twin studies and the heritability rate for depression has been reported to be 37%. Genetic studies have identified genetic variations associated with an increased risk of developing depression. Imaging genetics is an integrated approach where imaging measures are combined with genetic information to explore how specific genetic variants contribute to brain abnormalities. Neuroimaging studies allow us to examine both structural and functional abnormalities in individuals with depression. This review has been designed to study the correlation of the significant genetic variants with different regions of neural activity, connectivity, and structural alteration in the brain as detected by imaging techniques to understand the scope of biomarkers in depression. This might help in developing novel therapeutic interventions targeting specific genetic pathways or brain circuits and the underlying pathophysiology of depression based on this integrated approach can be established at length.

摘要

抑郁症是一种复杂的精神障碍,受到多种遗传和环境因素的影响。通过双胞胎研究已经强有力地证明了遗传因素在抑郁症中的作用,并且已经报道了抑郁症的遗传率为 37%。遗传研究已经确定了与患抑郁症风险增加相关的遗传变异。影像遗传学是一种综合方法,其中将影像测量与遗传信息相结合,以探索特定的遗传变异如何导致大脑异常。神经影像学研究使我们能够检查抑郁症患者的大脑中结构和功能异常。本综述旨在研究重要遗传变异与神经影像学技术检测到的大脑中不同区域的神经活动、连接和结构改变之间的相关性,以了解抑郁症生物标志物的范围。这可能有助于针对特定的遗传途径或大脑回路开发新的治疗干预措施,并根据这种综合方法深入研究抑郁症的潜在病理生理学。

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