A Judgement Bias Test to Assess Affective State and Potential Therapeutics in a Rat Model of Chemotherapy-Induced Mucositis

被引:12
|
作者
George, Rebecca P. [1 ]
Barker, Timothy H. [1 ]
Lymn, Kerry A. [1 ]
Bigatton, Dylan A. [1 ]
Howarth, Gordon S. [1 ,2 ]
Whittaker, Alexandra L. [1 ]
机构
[1] Univ Adelaide, Sch Anim & Vet Sci, Adelaide, SA, Australia
[2] Womens & Childrens Hosp, Gastroenterol Dept, Adelaide, SA, Australia
来源
SCIENTIFIC REPORTS | 2018年 / 8卷
关键词
QUALITY-OF-LIFE; COGNITIVE BIAS; INTESTINAL MUCOSITIS; POSITIVE AFFECT; METHOTREXATE; MANAGEMENT; EXPRESSION; AGENTS; PAIN;
D O I
10.1038/s41598-018-26403-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:9
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