Modeling depression in zebrafish

Galstyan, D. S.; Kolesnikova, T. O.; Kositsyn, Y. M.; Zabegalov, K. N.; Gubaidullina, M. A.; Maslov, G. O.; Demin, K. A.; Khatsko, S. L.; Kalueff, A. V.

doi:10.17816/RCF202149-156

Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/131442

Title:	Modeling depression in zebrafish
Authors:	Galstyan, D. S. Kolesnikova, T. O. Kositsyn, Y. M. Zabegalov, K. N. Gubaidullina, M. A. Maslov, G. O. Demin, K. A. Khatsko, S. L. Kalueff, A. V.
Issue Date:	2022
Publisher:	Eco-Vector LLC
Citation:	Галстян, ДС, Колесникова, ТО, Косицын, ЮМ, Забегалов, КН, Губайдуллина, МА, Маслов, ГО, Демин, КА, Хацко, СЛ & Калуев, АВ 2022, 'МОДЕЛИРОВАНИЕ ДЕПРЕССИИ НА ЗЕБРАДАНИО', Обзоры по клинической фармакологии и лекарственной терапии, Том. 20, № 2, стр. 149-156. https://doi.org/10.17816/RCF202149-156 Галстян, Д. С., Колесникова, Т. О., Косицын, Ю. М., Забегалов, К. Н., Губайдуллина, М. А., Маслов, Г. О., Демин, К. А., Хацко, С. Л., & Калуев, А. В. (2022). МОДЕЛИРОВАНИЕ ДЕПРЕССИИ НА ЗЕБРАДАНИО. Обзоры по клинической фармакологии и лекарственной терапии, 20(2), 149-156. https://doi.org/10.17816/RCF202149-156
Abstract:	Depression is a widespread, severely debilitating mental disorder characterized by low mood, anhedonia, fatigue, decreased attention, suicidality and psychomotor retardation, accompanied by neuroendocrine and molecular disorders. Zebrafish have neuroendocrine and neurotransmitter systems similar to humans, as well as high genetic homology, and are rapidly becoming popular model organisms for modeling depressive-like conditions. Here, we discuss modern behavioral, pharmacological and genetic models of depression in zebrafish, their methodological applications and translational implications. © Authors, 2022.
Keywords:	CHRONIC STRESS DEPRESSION DESPAIR RESERPINE ZEBRAFISH
URI:	http://elar.urfu.ru/handle/10995/131442
Access:	info:eu-repo/semantics/openAccess
RSCI ID:	49492368
SCOPUS ID:	85166761063
PURE ID:	30968037 6306ddd1-14f8-4585-9147-de8e92c47d26
ISSN:	1683-4100
DOI:	10.17816/RCF202149-156
metadata.dc.description.sponsorship:	Ministry of Education and Science of the Russian Federation, Minobrnauka, (075-15-2022-301) Funding source. This work was financially supported by the Ministry of Science and Higher Education of the Russian Federation (Agreement No. 075-15-2022-301).
Appears in Collections:	Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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