Mouse Social Interaction Test (MoST): a quantitative computer automated analysis of behavior
Mouse Social Interaction Test (MoST): a quantitative computer automated analysis of behavior
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DOI：
10.1007/s00702-015-1487-0
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发表时间：
2015
影响因子：
3.3
通讯作者：
P. Thanos;Christophe Restif;Joseph R. O’Rourke;Chiu Yin Lam;Dimitris N. Metaxas
中科院分区：
文献类型：
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作者：
P. Thanos;Christophe Restif;Joseph R. O’Rourke;Chiu Yin Lam;Dimitris N. Metaxas
啮齿类动物是最常用的人类疾病临床前模型，用于评估所涉及的机制以及遗传学、表观遗传学和药物治疗对该疾病的作用，以及确定脆弱性因素和疾病风险评估，这些因素对改进治疗策略的发展至关重要。不幸的是，大多数啮齿类动物临床前研究采用单独圈养的方法，其中动物要么完全圈养并在单独环境中进行测试，要么分组圈养但在单独环境中进行测试。然而，这种方法忽视了社会互动和社会行为的重要贡献。啮齿类动物的社会互动被认为是啮齿类动物物种特异性行为特征行为学有效性的主要标准（Zurn等人，2007; Analysis 2011）。人们还公认，有大量和越来越多的报告，说明了社会环境和社会互动在所有疾病中的重要作用，特别是在所有神经精神疾病中的重要性。因此，研究必须能够增加对小鼠社会互动和行为的大规模评估，并通过消除用户偏见和量化人类观察者无法评估的行为方面来自动跟踪行为和测量。单小鼠设置已被常规使用，但不能容易地扩展到多动物研究，其中社会行为是关键，例如，孤独症、抑郁症、焦虑症、物质和非物质成瘾性疾病、攻击性、性行为或养育子女。虽然最近的努力集中在多动物跟踪单独，一个重大的限制仍然是缺乏深刻的社会互动措施。我们提出了一种新的，非侵入性的基于单摄像头的自动跟踪方法描述为小鼠社会测试（MoST）和一套措施，旨在估计多只小鼠在同一时间在同一环境中自由互动的相互作用。我们的研究结果显示了对社会互动的测量，并被设计为适应和适用于研究中使用的大多数现有的家庭笼系统，并提供了比以前更高水平的社会行为详细分析。本研究描述了在一个家庭笼环境中评估的社会行为设置包含6只小鼠，在很长一段时间内自由互动，我们说明了这些措施可以解释和组合分类啮齿动物的社会行为。此外，我们说明了如何这些措施可以解释和组合，以分类和全面分析啮齿动物的行为涉及的几种神经精神疾病，以及提供了机会，啮齿动物的行为的基础研究，以前不可能。
Rodents are the most commonly used preclinical model of human disease assessing the mechanism(s) involved as well as the role of genetics, epigenetics, and pharmacotherapy on this disease as well as identifying vulnerability factors and risk assessment for disease critical in the development of improved treatment strategies. Unfortunately, the majority of rodent preclinical studies utilize single housed approaches where animals are either entirely housed and tested in solitary environments or group housed but tested in solitary environments. This approach, however, ignores the important contribution of social interaction and social behavior. Social interaction in rodents is found to be a major criterion for the ethological validity of rodent species-specific behavioral characteristics (Zurn et al. 2007; Analysis 2011). It is also well established that there is significant and growing number of reports, which illustrates the important role of social environment and social interaction in all diseases, with particularly significance in all neuropsychiatric diseases. Thus, it is imperative that research studies be able to add large-scale evaluations of social interaction and behavior in mice and benefit from automated tracking of behaviors and measurements by removing user bias and by quantifying aspects of behaviors that cannot be assessed by a human observer. Single mouse setups have been used routinely, but cannot be easily extended to multiple-animal studies where social behavior is key, e.g., autism, depression, anxiety, substance and non-substance addictive disorders, aggression, sexual behavior, or parenting. While recent efforts are focusing on multiple-animal tracking alone, a significant limitation remains the lack of insightful measures of social interactions. We present a novel, non-invasive single camera-based automated tracking method described as Mouse Social Test (MoST) and set of measures designed for estimating the interactions of multiple mice at the same time in the same environment interacting freely. Our results show measurement of social interactions and designed to be adaptable and applicable to most existing home cage systems used in research, and provide a greater level of detailed analysis of social behavior than previously possible. The present study describes social behaviors assessed in a home cage environment setup containing six mice that interact freely over long periods of time, and we illustrate how these measures can be interpreted and combined to classify rodent social behaviors. In addition, we illustrate how these measures can be interpreted and combined to classify and analyze comprehensively rodent behaviors involved in several neuropsychiatric diseases as well as provide opportunity for the basic research of rodent behavior previously not possible.