TY - JOUR
T1 - Animal models of major depressive disorder and the implications for drug discovery and development
AU - Demin, Konstantin A.
AU - Sysoev, Maxim
AU - Chernysh, Maria V.
AU - Savva, Anna K.
AU - Koshiba, Mamiko
AU - Wappler-Guzzetta, Edina A.
AU - Song, Cai
AU - De Abreu, Murilo S.
AU - Leonard, Brian
AU - Parker, Matthew O.
AU - Harvey, Brian H.
AU - Tian, Li
AU - Vasar, Eero
AU - Strekalova, Tatyana
AU - Amstislavskaya, Tamara G.
AU - Volgin, Andrey D.
AU - Alpyshov, Erik T.
AU - Wang, Dongmei
AU - Kalueff, Allan V.
N1 - Funding Information:
This research was supported by the ‘5-100’ Russian Excellence Program to T Strekalova. KA Demin is supported by the Russian Foundation for Basic Research (RFBR) grant 18-34-00996 and Special Rector’s Fellowship for SPbU PhD students. L Tan is supported by the Estonian Research Council grant MOBTT77.
Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2019/4/3
Y1 - 2019/4/3
N2 - 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.
AB - 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.
KW - Depression
KW - animal modeling
KW - endophenotype
KW - major depressive disorder
KW - pathogenesis
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U2 - 10.1080/17460441.2019.1575360
DO - 10.1080/17460441.2019.1575360
M3 - Review article
C2 - 30793996
AN - SCOPUS:85062993078
SN - 1746-0441
VL - 14
SP - 365
EP - 378
JO - Expert Opinion on Drug Discovery
JF - Expert Opinion on Drug Discovery
IS - 4
ER -