Yi Sue Y, Barnett Brian R, Yu John-Paul J
1Neuroscience Training Program, University of Wisconsin-Madison, Wisconsin Institutes for Medical Research, Madison, USA.
2Department of Biomedical Engineering, College of Engineering, University of Wisconsin-Madison, Madison, USA.
Br J Radiol. 2019 Sep;92(1101):20180885. doi: 10.1259/bjr.20180885. Epub 2019 Apr 14.
Psychiatric disease is one of the leading causes of disability worldwide. Despite the global burden and need for accurate diagnosis and treatment of mental illness, psychiatric diagnosis remains largely based on patient-reported symptoms, allowing for immense symptomatic heterogeneity within a single disease. In renewed efforts towards improved diagnostic specificity and subsequent evaluation of treatment response, a greater understanding of the underlying of the neuropathology and neurobiology of neuropsychiatric disease is needed. However, dissecting these mechanisms of neuropsychiatric illness in clinical populations are problematic with numerous experimental hurdles limiting hypothesis-driven studies including genetic confounds, variable life experiences, different environmental exposures, therapeutic histories, as well as the inability to investigate deeper molecular changes . Preclinical models, where many of these confounding factors can be controlled, can serve as a crucial experimental bridge for studying the neurobiological origins of mental illness. Furthermore, although behavioral studies and molecular studies are relatively common in these model systems, focused neuroimaging studies are very rare and represent an opportunity to link the molecular changes in psychiatric illness with advanced quantitative neuroimaging studies. In this review, we present an overview of well-validated genetic and environmental models of psychiatric illness, discuss gene-environment interactions, and examine the potential role of neuroimaging towards understanding genetic, environmental, and gene-environmental contributions to psychiatric illness.
精神疾病是全球致残的主要原因之一。尽管精神疾病带来了全球负担,且需要准确诊断和治疗,但精神科诊断在很大程度上仍基于患者报告的症状,这使得单一疾病内存在巨大的症状异质性。为了重新努力提高诊断特异性并随后评估治疗反应,需要更深入地了解神经精神疾病的神经病理学和神经生物学基础。然而,在临床人群中剖析神经精神疾病的这些机制存在问题,众多实验障碍限制了假设驱动的研究,包括基因混杂、不同的生活经历、不同的环境暴露、治疗史,以及无法研究更深层次的分子变化。临床前模型可以控制许多这些混杂因素,可作为研究精神疾病神经生物学起源的关键实验桥梁。此外,尽管行为研究和分子研究在这些模型系统中相对常见,但专注的神经影像学研究非常罕见,这代表了一个将精神疾病的分子变化与先进的定量神经影像学研究联系起来的机会。在这篇综述中,我们概述了经过充分验证的精神疾病遗传和环境模型,讨论了基因-环境相互作用,并研究了神经影像学在理解遗传、环境以及基因-环境对精神疾病的影响方面的潜在作用。