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PsyCoP——一个用于系统半自动化行为和认知剖析的平台揭示了遭受社会挫败的Tcf4转基因小鼠的基因和环境依赖性损伤。

PsyCoP - A Platform for Systematic Semi-Automated Behavioral and Cognitive Profiling Reveals Gene and Environment Dependent Impairments of Tcf4 Transgenic Mice Subjected to Social Defeat.

作者信息

Volkmann Paul, Stephan Marius, Krackow Sven, Jensen Niels, Rossner Moritz J

机构信息

Department of Psychiatry and Psychotherapy, Laboratory of Molecular Neurobiology, University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany.

International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany.

出版信息

Front Behav Neurosci. 2021 Jan 14;14:618180. doi: 10.3389/fnbeh.2020.618180. eCollection 2020.

Abstract

Recently, hundreds of risk genes associated with psychiatric disorders have been identified. These are thought to interact with environmental stress factors in precipitating pathological behaviors. However, the individual phenotypes resulting from specific genotype by environment (G×E) interactions remain to be determined. Toward a more systematic approach, we developed a novel standardized and partially automatized platform for systematic behavioral and cognitive profiling (PsyCoP). Here, we assessed the behavioral and cognitive disturbances in transgenic mice (tg) exposed to psychosocial stress by social defeat during adolescence using a "two-hit" G×E mouse model. Notably, has been repeatedly identified as a candidate risk gene for different psychiatric diseases and tg mice display behavioral endophenotypes such as fear memory impairment and hyperactivity. We use the Research Domain Criteria (RDoC) concept as framework to categorize phenotyping results in a translational approach. We propose two methods of dimension reduction, clustering, and visualization of behavioral phenotypes to retain statistical power and clarity of the overview. Taken together, our results reveal that sensorimotor gating is disturbed by overexpression whereas both negative and positive valence systems are primarily influenced by psychosocial stress. Moreover, we confirm previous reports showing that deficits in the cognitive domain are largely dependent on the interaction between and psychosocial stress. We recommend that the standardized analysis and visualization strategies described here should be applied to other two-hit mouse models of psychiatric diseases and anticipate that this will help directing future preclinical treatment trials.

摘要

最近,数百个与精神疾病相关的风险基因已被确定。人们认为这些基因在引发病理行为时会与环境应激因素相互作用。然而,由特定基因与环境(G×E)相互作用产生的个体表型仍有待确定。为了采用更系统的方法,我们开发了一种新颖的标准化且部分自动化的平台,用于系统的行为和认知剖析(PsyCoP)。在此,我们使用“双打击”G×E小鼠模型,评估了在青春期遭受社会挫败性心理社会应激的转基因小鼠(tg)的行为和认知障碍。值得注意的是,已反复被确定为不同精神疾病的候选风险基因,tg小鼠表现出诸如恐惧记忆受损和多动等行为内表型。我们以研究领域标准(RDoC)概念为框架,采用转化方法对表型分析结果进行分类。我们提出了两种行为表型的降维、聚类和可视化方法,以保留统计功效和概述的清晰度。综合来看,我们的结果表明,感觉运动门控因[基因名称]过表达而受到干扰,而负性和正性效价系统主要受心理社会应激影响。此外,我们证实了先前的报告,即认知领域的缺陷很大程度上取决于[基因名称]与心理社会应激之间的相互作用。我们建议将此处描述的标准化分析和可视化策略应用于其他精神疾病的双打击小鼠模型,并预计这将有助于指导未来的临床前治疗试验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/812e/7841301/883c0f80a7b2/fnbeh-14-618180-g0001.jpg

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