Three Pillars of Automated Home-Cage Phenotyping of Mice: Novel Findings, Refinement, and Reproducibility Based on Literature and Experience.
Three Pillars of Automated Home-Cage Phenotyping of Mice: Novel Findings, Refinement, and Reproducibility Based on Literature and Experience.
复制标题
DOI：
10.3389/fnbeh.2020.575434
复制
发表时间：
2020
影响因子：
3
通讯作者：
Gaburro S
中科院分区：
文献类型：
--
作者：
Voikar V;Gaburro S
神经退行性疾病和神经精神疾病的动物模型需要广泛的行为表型。目前，这提出了几个警告，最重要的是：(I)啮齿动物是夜间活动的动物，但大多在光照期间进行测试；(Ii)传统的行为实验只考虑丰富的行为模式的快照；以及(Iii)环境因素以及实验者的影响往往被低估。因此，一方面对研究结果的重现性表示严重关切，另一方面对动物的适当福利(基于3R--减少、改进和替换的原则)表示关切。为了解决这些问题并从总体上改善行为表型，已经提出并开发了几种解决方案。不受干扰的全天候家庭笼式监测(HCM)正日益受到人们的关注和欢迎，因为它表明了替代或补充传统表型方法的潜力，因为它提供了宝贵的数据，用于识别否则可能被遗漏的行为模式。在这篇综述中，我们将简要描述用于HCM系统的不同技术。此后，根据我们的经验，我们将重点介绍两个系统，IntelliCage(NewBehavior AG和TSE-Systems)和数字通风笼子(DVC®，Tecniplast)-它们是如何在最近几年开发和应用的。此外，我们将触及环境/实验者人工制品的重要性，并根据公布的证据提出进行表型实验的替代建议。我们将讨论如何集成遥测系统来得出某些生理参数，以帮助补充动物模型的描述，以便更好地翻译为人类研究。最后，我们将讨论如何对这些HCM数据进行统计解释和分析。
Animal models of neurodegenerative and neuropsychiatric disorders require extensive behavioral phenotyping. Currently, this presents several caveats and the most important are: (i) rodents are nocturnal animals, but mostly tested during the light period; (ii) the conventional behavioral experiments take into consideration only a snapshot of a rich behavioral repertoire; and (iii) environmental factors, as well as experimenter influence, are often underestimated. Consequently, serious concerns have been expressed regarding the reproducibility of research findings on the one hand, and appropriate welfare of the animals (based on the principle of 3Rs—reduce, refine and replace) on the other hand. To address these problems and improve behavioral phenotyping in general, several solutions have been proposed and developed. Undisturbed, 24/7 home-cage monitoring (HCM) is gaining increased attention and popularity as demonstrating the potential to substitute or complement the conventional phenotyping methods by providing valuable data for identifying the behavioral patterns that may have been missed otherwise. In this review, we will briefly describe the different technologies used for HCM systems. Thereafter, based on our experience, we will focus on two systems, IntelliCage (NewBehavior AG and TSE-systems) and Digital Ventilated Cage (DVC®, Tecniplast)—how they have been developed and applied during recent years. Additionally, we will touch upon the importance of the environmental/experimenter artifacts and propose alternative suggestions for performing phenotyping experiments based on the published evidence. We will discuss how the integration of telemetry systems for deriving certain physiological parameters can help to complement the description of the animal model to offer better translation to human studies. Ultimately, we will discuss how such HCM data can be statistically interpreted and analyzed.
登录
查看更多内容
影响因子：
4.6
作者：
Basson, Abigail R.;LaSalla, Alexandria;Rodriguez-Palacios, Alexander
通讯作者：
Rodriguez-Palacios, Alexander
影响因子：
2.7
作者：
Dell'Omo, G;Ricceri, L;Lipp, HP
通讯作者：
Lipp, HP
影响因子：
3.7
作者：
Goltstein PM;Reinert S;Glas A;Bonhoeffer T;Hübener M
通讯作者：
Hübener M
影响因子：
3
作者：
Bains RS;Wells S;Sillito RR;Armstrong JD;Cater HL;Banks G;Nolan PM
通讯作者：
Nolan PM
影响因子：
4.3
作者：
Golini, Elisabetta;Rigamonti, Mara;Mandillo, Silvia
通讯作者：
Mandillo, Silvia