Department of Pharmacology, University of Cambridge, Cambridge, United Kingdom.
Int Rev Neurobiol. 2011;101:203-38. doi: 10.1016/B978-0-12-387718-5.00008-0.
Modeling neuropsychiatric disorders in animals poses a significant challenge due to the subjective nature of diverse often overlapping symptoms, lack of objective biomarkers and diagnostics, and the rudimentary understanding of the pathophysiology. Successful translational research requires animal models that can inform about disease mechanisms and therapeutic targets. Here, we review behavioral and neurobiological findings from selected animal models, based on presumed etiology and risk factors, for schizophrenia, bipolar disorder, and major depressive disorder. We focus on the use of appropriate statistical tools and newly developed Research Domain Criteria (RDoC) to link biomarkers from animal models with the human disease. We argue that this approach will lead to development of only the most robust animal models for specific psychiatric disorders and may ultimately lead to better understanding of the pathophysiology and identification of novel biomarkers and therapeutic targets.
由于各种症状常常重叠且具有主观性、缺乏客观的生物标志物和诊断方法,以及对病理生理学的基本理解,因此在动物中模拟神经精神疾病是一项重大挑战。成功的转化研究需要能够提供有关疾病机制和治疗靶点信息的动物模型。在这里,我们根据假定的病因和危险因素,回顾了一些用于精神分裂症、双相情感障碍和重度抑郁症的动物模型的行为和神经生物学发现。我们专注于使用适当的统计工具和新开发的研究领域标准(RDoC)将动物模型中的生物标志物与人类疾病联系起来。我们认为,这种方法将导致仅为特定精神疾病开发最稳健的动物模型,并且最终可能会更好地理解病理生理学并确定新的生物标志物和治疗靶点。