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A chronic unpredictable stress protocol to model anhedonic and resilient behaviors in C57BL/6J mice
The complexity of the depressive symptoms observed in humans makes modeling depressive behavior in rodents challenging. Here, we present a highly reproducible protocol to generate mouse models that mimic several aspects of depression, namely anhedonia and loss of motivation. We describe acclimatizat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463598/ https://www.ncbi.nlm.nih.gov/pubmed/36097387 http://dx.doi.org/10.1016/j.xpro.2022.101659 |
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author | Bijata, Monika Bączyńska, Ewa Wlodarczyk, Jakub |
author_facet | Bijata, Monika Bączyńska, Ewa Wlodarczyk, Jakub |
author_sort | Bijata, Monika |
collection | PubMed |
description | The complexity of the depressive symptoms observed in humans makes modeling depressive behavior in rodents challenging. Here, we present a highly reproducible protocol to generate mouse models that mimic several aspects of depression, namely anhedonia and loss of motivation. We describe acclimatization of animals and baseline determination, followed by the chronic unpredictable stress (CUS) protocol to induce anhedonic and resilient behaviors. The protocol can generate anhedonic and resilient mice at roughly equal frequencies, providing a reliable model for translational research. For complete details on the use and execution of this protocol, please refer to Baczynska et al. (2022), Bijata et al. (2022), and Krzystyniak et al. (2019). |
format | Online Article Text |
id | pubmed-9463598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94635982022-09-11 A chronic unpredictable stress protocol to model anhedonic and resilient behaviors in C57BL/6J mice Bijata, Monika Bączyńska, Ewa Wlodarczyk, Jakub STAR Protoc Protocol The complexity of the depressive symptoms observed in humans makes modeling depressive behavior in rodents challenging. Here, we present a highly reproducible protocol to generate mouse models that mimic several aspects of depression, namely anhedonia and loss of motivation. We describe acclimatization of animals and baseline determination, followed by the chronic unpredictable stress (CUS) protocol to induce anhedonic and resilient behaviors. The protocol can generate anhedonic and resilient mice at roughly equal frequencies, providing a reliable model for translational research. For complete details on the use and execution of this protocol, please refer to Baczynska et al. (2022), Bijata et al. (2022), and Krzystyniak et al. (2019). Elsevier 2022-09-05 /pmc/articles/PMC9463598/ /pubmed/36097387 http://dx.doi.org/10.1016/j.xpro.2022.101659 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Bijata, Monika Bączyńska, Ewa Wlodarczyk, Jakub A chronic unpredictable stress protocol to model anhedonic and resilient behaviors in C57BL/6J mice |
title | A chronic unpredictable stress protocol to model anhedonic and resilient behaviors in C57BL/6J mice |
title_full | A chronic unpredictable stress protocol to model anhedonic and resilient behaviors in C57BL/6J mice |
title_fullStr | A chronic unpredictable stress protocol to model anhedonic and resilient behaviors in C57BL/6J mice |
title_full_unstemmed | A chronic unpredictable stress protocol to model anhedonic and resilient behaviors in C57BL/6J mice |
title_short | A chronic unpredictable stress protocol to model anhedonic and resilient behaviors in C57BL/6J mice |
title_sort | chronic unpredictable stress protocol to model anhedonic and resilient behaviors in c57bl/6j mice |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463598/ https://www.ncbi.nlm.nih.gov/pubmed/36097387 http://dx.doi.org/10.1016/j.xpro.2022.101659 |
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