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Modelling cognitive affective biases in major depressive disorder using rodents

Major depressive disorder (MDD) affects more than 10% of the population, although our understanding of the underlying aetiology of the disease and how antidepressant drugs act to remediate symptoms is limited. Major obstacles include the lack of availability of good animal models that replicate aspe...

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Autores principales: Hales, Claire A, Stuart, Sarah A, Anderson, Michael H, Robinson, Emma S J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199314/
https://www.ncbi.nlm.nih.gov/pubmed/24467454
http://dx.doi.org/10.1111/bph.12603
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author Hales, Claire A
Stuart, Sarah A
Anderson, Michael H
Robinson, Emma S J
author_facet Hales, Claire A
Stuart, Sarah A
Anderson, Michael H
Robinson, Emma S J
author_sort Hales, Claire A
collection PubMed
description Major depressive disorder (MDD) affects more than 10% of the population, although our understanding of the underlying aetiology of the disease and how antidepressant drugs act to remediate symptoms is limited. Major obstacles include the lack of availability of good animal models that replicate aspects of the phenotype and tests to assay depression-like behaviour in non-human species. To date, research in rodents has been dominated by two types of assays designed to test for depression-like behaviour: behavioural despair tests, such as the forced swim test, and measures of anhedonia, such as the sucrose preference test. These tests have shown relatively good predictive validity in terms of antidepressant efficacy, but have limited translational validity. Recent developments in clinical research have revealed that cognitive affective biases (CABs) are a key feature of MDD. Through the development of neuropsychological tests to provide objective measures of CAB in humans, we have the opportunity to use ‘reverse translation’ to develop and evaluate whether similar methods are suitable for research into MDD using animals. The first example of this approach was reported in 2004 where rodents in a putative negative affective state were shown to exhibit pessimistic choices in a judgement bias task. Subsequent work in both judgement bias tests and a novel affective bias task suggest that these types of assay may provide translational methods for studying MDD using animals. This review considers recent work in this area and the pharmacological and translational validity of these new animal models of CABs. LINKED ARTICLES: This article is part of a themed section on Animal Models in Psychiatry Research. To view the other articles in this section visit http://dx.doi.org/10.1111/bph.2014.171.issue-20
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spelling pubmed-41993142014-11-06 Modelling cognitive affective biases in major depressive disorder using rodents Hales, Claire A Stuart, Sarah A Anderson, Michael H Robinson, Emma S J Br J Pharmacol Themed Section: Animal Models in Psychiatry Research Major depressive disorder (MDD) affects more than 10% of the population, although our understanding of the underlying aetiology of the disease and how antidepressant drugs act to remediate symptoms is limited. Major obstacles include the lack of availability of good animal models that replicate aspects of the phenotype and tests to assay depression-like behaviour in non-human species. To date, research in rodents has been dominated by two types of assays designed to test for depression-like behaviour: behavioural despair tests, such as the forced swim test, and measures of anhedonia, such as the sucrose preference test. These tests have shown relatively good predictive validity in terms of antidepressant efficacy, but have limited translational validity. Recent developments in clinical research have revealed that cognitive affective biases (CABs) are a key feature of MDD. Through the development of neuropsychological tests to provide objective measures of CAB in humans, we have the opportunity to use ‘reverse translation’ to develop and evaluate whether similar methods are suitable for research into MDD using animals. The first example of this approach was reported in 2004 where rodents in a putative negative affective state were shown to exhibit pessimistic choices in a judgement bias task. Subsequent work in both judgement bias tests and a novel affective bias task suggest that these types of assay may provide translational methods for studying MDD using animals. This review considers recent work in this area and the pharmacological and translational validity of these new animal models of CABs. LINKED ARTICLES: This article is part of a themed section on Animal Models in Psychiatry Research. To view the other articles in this section visit http://dx.doi.org/10.1111/bph.2014.171.issue-20 BlackWell Publishing Ltd 2014-10 2014-07-01 /pmc/articles/PMC4199314/ /pubmed/24467454 http://dx.doi.org/10.1111/bph.12603 Text en Copyright © 2014 The British Pharmacological Society http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Themed Section: Animal Models in Psychiatry Research
Hales, Claire A
Stuart, Sarah A
Anderson, Michael H
Robinson, Emma S J
Modelling cognitive affective biases in major depressive disorder using rodents
title Modelling cognitive affective biases in major depressive disorder using rodents
title_full Modelling cognitive affective biases in major depressive disorder using rodents
title_fullStr Modelling cognitive affective biases in major depressive disorder using rodents
title_full_unstemmed Modelling cognitive affective biases in major depressive disorder using rodents
title_short Modelling cognitive affective biases in major depressive disorder using rodents
title_sort modelling cognitive affective biases in major depressive disorder using rodents
topic Themed Section: Animal Models in Psychiatry Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199314/
https://www.ncbi.nlm.nih.gov/pubmed/24467454
http://dx.doi.org/10.1111/bph.12603
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