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Type: Journal article
Title: A judgement bias test to assess affective state and potential therapeutics in a rat model of chemotherapy-induced mucositis
Author: George, R.P.
Barker, T.H.
Lymn, K.L.
Bigatton, D.A.
Howarth, G.S.
Whittaker, A.L.
Citation: Scientific Reports, 2018; 8(8193)
Publisher: Nature Publishing Group
Issue Date: 2018
ISSN: 2045-2322
Statement of
Rebecca P. George, Timothy H. Barker, Kerry A. Lymn, Dylan A. Bigatton, Gordon S. Howarth and Alexandra L. Whittaker
Abstract: Chemotherapy-induced mucositis is an extremely painful condition that occurs in 40–60% of patients undergoing chemotherapy. As mucositis currently has no effective treatment, and due to the self-limiting nature of the condition, the major treatment aims are to manage symptoms and limit pain with significance placed on improving patient quality of life. Rodent models are frequently used in mucositis research. These investigations typically assess pathological outcomes, yet fail to include a measure of affective state; the key therapeutic goal. Assessment of cognitive biases is a novel approach to determining the affective state of animals. Consequently, this study aimed to validate a cognitive bias test through a judgement bias paradigm to measure affective state in a rat model of chemotherapy-induced intestinal mucositis. Rats with intestinal mucositis demonstrated a negative affective state, which was partially ameliorated by analgesic administration, whilst healthy rats showed an optimistic response. This study concluded that the judgement bias test was able to evaluate the emotional state of rats with chemotherapy-induced mucositis. These findings provide a foundation for future refinement to the experimental design associated with the animal model that will expedite successful transitioning of novel therapeutics to clinical practice, and also improve humane endpoint implementation.
Keywords: Chemotherapy; experimental models of disease
Rights: © The Author(s) 2018. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit
DOI: 10.1038/s41598-018-26403-7
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