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Using the affective bias test to predict drug‐induced negative affect: implications for drug safety
BACKGROUND AND PURPOSE: Predicting the risk of drug‐induced adverse psychiatric effects is important but currently not possible in non‐human species. We investigated whether the affective bias test (ABT) could provide a preclinical method with translational and predictive validity. EXPERIMENTAL APPR...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595760/ https://www.ncbi.nlm.nih.gov/pubmed/28782244 http://dx.doi.org/10.1111/bph.13972 |
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author | Stuart, S A Wood, C M Robinson, E S J |
author_facet | Stuart, S A Wood, C M Robinson, E S J |
author_sort | Stuart, S A |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Predicting the risk of drug‐induced adverse psychiatric effects is important but currently not possible in non‐human species. We investigated whether the affective bias test (ABT) could provide a preclinical method with translational and predictive validity. EXPERIMENTAL APPROACH: The ABT is a bowl‐digging task, which quantifies biases associated with learning and memory. Rats encounter independent learning experiences, on separate days, under either acute manipulations (e.g. pro‐depressant vs. control) or different absolute reward values (e.g. high vs. low). A bias is observed during a preference test when an animal's choices reflect their prior experience. We investigated the effects of putative pro‐depressant drug treatments following acute or chronic administration on the formation of an affective bias or reward‐induced positive bias respectively. KEY RESULTS: The immunomodulators LPS (10 μg·kg(−1)), corticosterone (10 and 30 mg·kg(−1)) and IFN‐α (100 U·kg(−1)) induced a negative affective bias following acute treatment. Tetrabenazine (1 mg·kg(−1)) also induced a negative bias, but no effects were observed with varenicline, carbamazepine or montelukast. Chronic treatment with IFN‐α (100 U·kg(−1)) and retinoic acid (10 mg·kg(−1)) impaired the formation of a reward‐induced positive bias but did not alter sucrose preference test (SPT). CONCLUSIONS AND IMPLICATIONS: The ABT has the potential to provide a novel approach to predict pro‐depressant risk in a non‐human species. Negative biases induced by acute treatment in the standard version of the task may also predict longer‐term effects on reward processing as shown by the deficit in reward‐induced positive bias following chronic treatment, an effect distinct from anhedonia in the SPT. LINKED ARTICLES: This article is part of a themed section on Pharmacology of Cognition: a Panacea for Neuropsychiatric Disease? To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v174.19/issuetoc |
format | Online Article Text |
id | pubmed-5595760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55957602017-09-15 Using the affective bias test to predict drug‐induced negative affect: implications for drug safety Stuart, S A Wood, C M Robinson, E S J Br J Pharmacol Themed Section: Research Paper BACKGROUND AND PURPOSE: Predicting the risk of drug‐induced adverse psychiatric effects is important but currently not possible in non‐human species. We investigated whether the affective bias test (ABT) could provide a preclinical method with translational and predictive validity. EXPERIMENTAL APPROACH: The ABT is a bowl‐digging task, which quantifies biases associated with learning and memory. Rats encounter independent learning experiences, on separate days, under either acute manipulations (e.g. pro‐depressant vs. control) or different absolute reward values (e.g. high vs. low). A bias is observed during a preference test when an animal's choices reflect their prior experience. We investigated the effects of putative pro‐depressant drug treatments following acute or chronic administration on the formation of an affective bias or reward‐induced positive bias respectively. KEY RESULTS: The immunomodulators LPS (10 μg·kg(−1)), corticosterone (10 and 30 mg·kg(−1)) and IFN‐α (100 U·kg(−1)) induced a negative affective bias following acute treatment. Tetrabenazine (1 mg·kg(−1)) also induced a negative bias, but no effects were observed with varenicline, carbamazepine or montelukast. Chronic treatment with IFN‐α (100 U·kg(−1)) and retinoic acid (10 mg·kg(−1)) impaired the formation of a reward‐induced positive bias but did not alter sucrose preference test (SPT). CONCLUSIONS AND IMPLICATIONS: The ABT has the potential to provide a novel approach to predict pro‐depressant risk in a non‐human species. Negative biases induced by acute treatment in the standard version of the task may also predict longer‐term effects on reward processing as shown by the deficit in reward‐induced positive bias following chronic treatment, an effect distinct from anhedonia in the SPT. LINKED ARTICLES: This article is part of a themed section on Pharmacology of Cognition: a Panacea for Neuropsychiatric Disease? To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v174.19/issuetoc John Wiley and Sons Inc. 2017-08-30 2017-10 /pmc/articles/PMC5595760/ /pubmed/28782244 http://dx.doi.org/10.1111/bph.13972 Text en © 2017 The Authors. British Journal of Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Themed Section: Research Paper Stuart, S A Wood, C M Robinson, E S J Using the affective bias test to predict drug‐induced negative affect: implications for drug safety |
title | Using the affective bias test to predict drug‐induced negative affect: implications for drug safety |
title_full | Using the affective bias test to predict drug‐induced negative affect: implications for drug safety |
title_fullStr | Using the affective bias test to predict drug‐induced negative affect: implications for drug safety |
title_full_unstemmed | Using the affective bias test to predict drug‐induced negative affect: implications for drug safety |
title_short | Using the affective bias test to predict drug‐induced negative affect: implications for drug safety |
title_sort | using the affective bias test to predict drug‐induced negative affect: implications for drug safety |
topic | Themed Section: Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595760/ https://www.ncbi.nlm.nih.gov/pubmed/28782244 http://dx.doi.org/10.1111/bph.13972 |
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