Literature DB >> 28605064

Characterization of the chloroquine-induced mouse model of pruritus using an automated behavioural system.

Gema Tarrasón1, Carla Carcasona1, Peter Eichhorn2, Bibiana Pérez2, Amadeu Gavaldà1, Núria Godessart1.   

Abstract

Pruritus is a major symptom of several dermatological diseases but has limited therapeutic options available. Animal models replicating the pathophysiology of pruritus are needed to support the development of new drugs. Induction of pruritus by chloroquine (CQ) in mice is widely used, although, as with similar models, it has low throughput and does not distinguish between antipruritic effects and confounding factors such as sedation. To overcome these issues, we incorporated into the model an automated system that measures both scratching and locomotor behaviour simultaneously. We combined this system with the determination of CQ levels in different tissues to understand the impact of the route of CQ administration on the pruritogenic response. We concluded that whereas oral CQ does not induce pruritus due to insufficient skin levels, the bell-shaped curve of pruritus observed following subcutaneous administration is due to toxicity at high doses. We validated the model with several drugs currently used in humans: nalfurafine, aprepitant, cyproheptadine and amitriptyline. By comparing the effects of the drugs on both scratching and locomotor activity, we concluded that nalfurafine and aprepitant can exhibit efficacy at doses devoid of central effects, whereas central effects drove the efficacy of the other two drugs. This was further confirmed using non-brain-penetrant drugs. Moreover, as anticipated, anti-inflammatory drugs showed no efficacy. In conclusion, the use of an automated integrated behavioural assessment in CQ-induced pruritus makes the assay suitable for screening purposes and allows for a correct interpretation of the antipruritic effect of the compounds evaluated.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  animal model; drugs; locomotion; scratching; screening

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Year:  2017        PMID: 28605064     DOI: 10.1111/exd.13392

Source DB:  PubMed          Journal:  Exp Dermatol        ISSN: 0906-6705            Impact factor:   3.960


  4 in total

1.  Machine-Learning Based Automatic and Real-time Detection of Mouse Scratching Behaviors.

Authors:  Ingyu Park; Kyeongho Lee; Kausik Bishayee; Hong Jin Jeon; Hyosang Lee; Unjoo Lee
Journal:  Exp Neurobiol       Date:  2019-02-11       Impact factor: 3.261

2.  Automated scratching detection system for black mouse using deep learning.

Authors:  Naoaki Sakamoto; Taiga Haraguchi; Koji Kobayashi; Yusuke Miyazaki; Takahisa Murata
Journal:  Front Physiol       Date:  2022-07-22       Impact factor: 4.755

3.  Automated home-cage for the evaluation of innate non-reflexive pain behaviors in a mouse model of inflammatory pain.

Authors:  Peththa Wadu Dasuni Wasana; Opa Vajragupta; Pornchai Rojsitthisak; Pasarapa Towiwat
Journal:  Sci Rep       Date:  2021-06-10       Impact factor: 4.379

4.  Chloroquine commonly induces hormetic dose responses.

Authors:  Edward J Calabrese; Jaap C Hanekamp; Yannic N Hanekamp; Rachna Kapoor; Gaurav Dhawan; Evgenios Agathokleous
Journal:  Sci Total Environ       Date:  2020-09-25       Impact factor: 7.963

  4 in total

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