4.7 Review

Animal models for the study of depressive disorder

Journal

CNS NEUROSCIENCE & THERAPEUTICS
Volume 27, Issue 6, Pages 633-642

Publisher

WILEY
DOI: 10.1111/cns.13622

Keywords

depression; depression animal model; depressive behavior; functional analysis; transcriptomic analysis

Funding

  1. Basic Science Research Program, through the National Research Foundation of Korea (NRF) [NRF-2019R1F1A1054111, NRF-2018R1A2B6001104, NRF-2019R1A4A1028534]

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Depressive disorder is a common psychiatric pathology worldwide, with increasing numbers of patients each year according to a report by the World Health Organization. Research has shown that the risk of depression is influenced by various factors including genetics and environmental stress. Understanding the pathogenesis of depressive disorder is crucial for identifying mechanisms and genetic disorders underlying depression.
Depressive disorder is one of the most widespread forms of psychiatric pathology, worldwide. According to a report by the World Health Organization, the number of people with depression, globally, is increasing dramatically with each year. Previous studies have demonstrated that various factors, including genetics and environmental stress, contribute to the risk of depression. As such, it is crucial to develop a detailed understanding of the pathogenesis of depressive disorder and animal studies are essential for identifying the mechanisms and genetic disorders underlying depression. Recently, many researchers have reported on the pathology of depression via various models of depressive disorder. Given that different animal models of depression show differences in terms of patterns of depressive behavior and pathology, the comparison between depressive animal models is necessary for progress in the field of the depression study. However, the various animal models of depression have not been fully compared or evaluated until now. In this paper, we reviewed the pathophysiology of the depressive disorder and its current animal models with the analysis of their transcriptomic profiles. We provide insights for selecting different animal models for the study of depression.

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