Literature DB >> 16914167

A novel acoustic evaluation system of scratching in mouse dermatitis: rapid and specific detection of invisibly rapid scratch in an atopic dermatitis model mouse.

Koji Umeda1, Yuichi Noro, Takaaki Murakami, Kazuya Tokime, Hitomi Sugisaki, Keiichi Yamanaka, Ichiro Kurokawa, Kazuhiro Kuno, Hiroko Tsutsui, Kenji Nakanishi, Hitoshi Mizutani.   

Abstract

Scratching is an essential and a skin specific behavior induced by itching, which is a common symptom of atopic dermatitis (AD) and other types of dermatitis. Itching sensation and scratching are closely associated and thus scratching times are currently used for evaluating itching in animal models. However, objective measuring systems of scratching to assess the grade of dermatitis and the effectiveness of anti-pruritic drugs in animal dermatitis models are lacking. To investigate a quantitative evaluation system for itching, we have developed a novel acoustic scratching counting system and compared its accuracy with time-consuming slow-motion video recording system. We have also objectively evaluated the efficacy of an antihistamine using this novel system. Scratching behavior of an AD model mouse (K14 driven IL-18 transgenic mouse) was recorded visually and acoustically. Specific scratching sound produced by mice was recorded and counted using a software we have developed, and the results obtained using our acoustic system were not statistically different from data obtained using slow motion video system. Surprisingly, mice scratched more than 10 times/second, which was invisibly rapid motion and revealed inaccuracy of conventional hand counting system. Results were identical to that of measured by 10 times time costing slow-motion video analysis. The antihistamine is clearly effective for suppression of scratching as demonstrated using this objective and accurate method. This novel motion analysis system will open a window for physiological and pathological analysis for animal models and development of anti-pruritic drugs.

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Year:  2006        PMID: 16914167     DOI: 10.1016/j.lfs.2006.07.010

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  6 in total

1.  Development and validation of an automated system for detection and assessment of scratching in the rodent.

Authors:  Marc Marino; Polly Huang; Shelle Malkmus; Erin Robertshaw; Elaine A Mac; Yuri Shatterman; Tony L Yaksh
Journal:  J Neurosci Methods       Date:  2012-08-13       Impact factor: 2.390

Review 2.  Neural processing of itch.

Authors:  Tasuku Akiyama; E Carstens
Journal:  Neuroscience       Date:  2013-07-24       Impact factor: 3.590

3.  Rifampicin Alleviates Atopic Dermatitis-Like Response in vivo and in vitro.

Authors:  Seung Hyun Kim; Ki Man Lee; Geum Seon Lee; Ju-Won Seong; Tae Jin Kang
Journal:  Biomol Ther (Seoul)       Date:  2017-11-01       Impact factor: 4.634

4.  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

5.  Dissecting the precise nature of itch-evoked scratching.

Authors:  Nivanthika K Wimalasena; George Milner; Ricardo Silva; Cliff Vuong; Zihe Zhang; Diana M Bautista; Clifford J Woolf
Journal:  Neuron       Date:  2021-08-18       Impact factor: 17.173

6.  Automated acoustic detection of mouse scratching.

Authors:  Peter Elliott; Max G'Sell; Lindsey M Snyder; Sarah E Ross; Valérie Ventura
Journal:  PLoS One       Date:  2017-07-05       Impact factor: 3.240

  6 in total

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