Animal Models

2018 ◽  
pp. 195-202
Author(s):  
Tadafumi Kato

Animal models of mental disorders are important for the development of new treatment and biomarkers. Animal models should satisfy three validity criteria. The choice of species used for animal models depends on the purposes of the study. There are several established models of chromosomal abnormalities for autism and schizophrenia. Stress-induced animal models of depression are controversial. There have been no established models for bipolar disorder, but the authors recently proposed a genetic animal model showing recurrent spontaneous depression-like episodes. Optogenetic manipulation of neural circuit is also used for modeling of mental disorders. Progress in psychiatric genetics will lead to the generation of valid animal models of psychiatric disorders.

2019 ◽  
Vol 42 ◽  
Author(s):  
Nicole M. Baran

AbstractReductionist thinking in neuroscience is manifest in the widespread use of animal models of neuropsychiatric disorders. Broader investigations of diverse behaviors in non-model organisms and longer-term study of the mechanisms of plasticity will yield fundamental insights into the neurobiological, developmental, genetic, and environmental factors contributing to the “massively multifactorial system networks” which go awry in mental disorders.


2021 ◽  
Vol 22 (3) ◽  
pp. 1047
Author(s):  
Dorsa Rafiei ◽  
Nathan J. Kolla

Altered activity of fatty acid amide hydrolase (FAAH), an enzyme of the endocannabinoid system, has been implicated in several neuropsychiatric disorders, including major depressive disorder (MDD). It is speculated that increased brain FAAH expression is correlated with increased depressive symptoms. The aim of this scoping review was to establish the role of FAAH expression in animal models of depression to determine the translational potential of targeting FAAH in clinical studies. A literature search employing multiple databases was performed; all original articles that assessed FAAH expression in animal models of depression were considered. Of the 216 articles that were screened for eligibility, 24 articles met inclusion criteria and were included in this review. Three key findings emerged: (1) FAAH expression is significantly increased in depressive-like phenotypes; (2) genetic knockout or pharmacological inhibition of FAAH effectively reduces depressive-like behavior, with a dose-dependent effect; and (3) differences in FAAH expression in depressive-like phenotypes were largely localized to animal prefrontal cortex, hippocampus and striatum. We conclude, based on the animal literature, that a positive relationship can be established between brain FAAH level and expression of depressive symptoms. In summary, we suggest that FAAH is a tractable target for developing novel pharmacotherapies for MDD.


2015 ◽  
Vol 9s1 ◽  
pp. JEN.S32735
Author(s):  
Darryl J. Mayeaux ◽  
Sarah M. Tandle ◽  
Sean M. Cilano ◽  
Matthew J. Fitzharris

In animal models of depression, depression is defined as performance on a learning task. That task is typically escaping a mild electric shock in a shuttle cage by moving from one side of the cage to the other. Ovarian hormones influence learning in other kinds of tasks, and these hormones are associated with depressive symptoms in humans. The role of these hormones in shuttle-cage escape learning, however, is less clear. This study manipulated estradiol and progesterone in ovariectomized female rats to examine their performance in shuttle-cage escape learning without intentionally inducing a depressive-like state. Progesterone, not estradiol, within four hours of testing affected latencies to escape. The improvement produced by progesterone was in the decision to act, not in the speed of learning or speed of escaping. This parallels depression in humans in that depressed people are slower in volition, in their decisions to take action.


2005 ◽  
Vol 29 (4-5) ◽  
pp. 515-523 ◽  
Author(s):  
Alan Frazer ◽  
David A. Morilak

2009 ◽  
Vol 96 (2) ◽  
pp. 209-217 ◽  
Author(s):  
Y. Braw ◽  
O. Malkesman ◽  
A. Merenlender ◽  
M. Dagan ◽  
A. Bercovich ◽  
...  

2016 ◽  
Vol 1652 ◽  
pp. 30-42 ◽  
Author(s):  
Xin Yin ◽  
Nuri Guven ◽  
Nikolas Dietis

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