内表型
重性抑郁障碍
药物发现
转化研究
抗抑郁药
疾病
萧条(经济学)
特质
研究领域标准
药物开发
神经科学
心理学
精神科
生物信息学
医学
生物
药品
计算机科学
认知
焦虑
程序设计语言
经济
病理
宏观经济学
作者
Konstantin A. Demin,Maksim Sysoev,Maria V. Chernysh,Anna K. Savva,Mamiko Koshiba,Edina A. Wappler-Guzzetta,Cai Song,Murilo S. de Abreu,Brian E. Leonard,Matthew O. Parker,Brian H. Harvey,Li Tian,Eero Vasar,Tatyana Strekalova,Tamara G. Amstislavskaya,Andrey D. Volgin,Erik T. Alpyshov,Dongmei Wang,Allan V. Kalueff
标识
DOI:10.1080/17460441.2019.1575360
摘要
Introduction: Depression is a highly debilitating psychiatric disorder that affects the global population and causes severe disabilities and suicide. Depression pathogenesis remains poorly understood, and the disorder is often treatment-resistant and recurrent, necessitating the development of novel therapies, models and concepts in this field.Areas covered: Animal models are indispensable for translational biological psychiatry, and markedly advance the study of depression. Novel approaches continuously emerge that may help untangle the disorder heterogeneity and unclear categories of disease classification systems. Some of these approaches include widening the spectrum of model species used for translational research, using a broader range of test paradigms, exploring new pathogenic pathways and biomarkers, and focusing more closely on processes beyond neural cells (e.g. glial, inflammatory and metabolic deficits).Expert opinion: Dividing the core symptoms into easily translatable, evolutionarily conserved phenotypes is an effective way to reevaluate current depression modeling. Conceptually novel approaches based on the endophenotype paradigm, cross-species trait genetics and 'domain interplay concept', as well as using a wider spectrum of model organisms and target systems will enhance experimental modeling of depression and antidepressant drug discovery.
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