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ADVANCING THE UNDERSTANDING OF BEHAVIORS ASSOCIATED WITH BACILLE CALMETTE GUÉRIN INFECTION USING MULTIVARIATE ANALYSIS

机译:利用多元分析提高对巴氏卡尺型葛兰素感染相关行为的理解

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摘要

Behavioral indicators in the murine Bacille Calmette Guérin (BCG) model of inflammation have been studied individually; however, the variability of the behaviors across BCG levels and the mouse-to-mouse variation within BCG-treatment group are only partially understood. The objectives of this study were: 1) to gain a comprehensive understanding of sickness and depression-like behaviors in a BCG model of inflammation using multivariate approaches, and 2) to explore behavioral differences between BCG-treatment groups and among mice within group. Adult mice were challenged with either 0mg (saline), 5mg or 10mg of BCG (BCG-treatment groups: BCG0, BCG5, or BCG10, respectively) at Day 0 of the experiment. Sickness indicators included body weight changes between Day 0 and Day 2 and between Day 2 and Day 5, and horizontal locomotor activity and vertical activity (rearing) measured at Day 6. Depression-like indicators included duration of immobility in the forced swim test and in the tail suspension test at Day 6 and sucrose consumption in the sucrose preference test at Day 7. The simultaneous consideration of complementary sickness and depression-like indicators enabled a more precise characterization of behavioral changes associated with BCG-treatment and of mouse-to-mouse variation, relative to the analysis of indicators individually. Univariate and multivariate analyses confirmed differences between BCG-treatment groups in weight change early on the trial. Significant differences between BCG-treatment groups in depression-like behaviors were still measurable after Day 5. The potential for multivariate models to account for the correlation between behavioral indicators and to augment the analytical precision relative to univariate models was demonstrated both for sickness and for depression-like indicators. Unsupervised learning approaches revealed the complementary information provided by the sickness and depression-like indicators considered. Supervised learning approaches using cross-validation confirmed subtle differences between BCG-treatment groups and among mice within group identified by the consideration of sickness and depression-like indicators. These findings support the recommendation for multivariate and multidimensional analyses of sickness and depression-like indicators to augment the systemic understanding of the behavioral changes associated with infection.
机译:小鼠炎症的巴克·卡莱梅特·格林(BCG)模型中的行为指标已被单独研究。但是,仅部分了解了BCG治疗组中行为的变异性和BCG治疗组中小鼠之间的差异。这项研究的目的是:1)使用多元方法全面了解BCG炎症模型中的疾病和抑郁样行为,以及2)探索BCG治疗组之间以及组内小鼠之间的行为差​​异。在实验的第0天,用0mg(生理盐水),5mg或10mg BCG(分别为BCG治疗组:BCG0,BCG5或BCG10)攻击成年小鼠。疾病指标包括第0天和第2天之间以及第2天和第5天之间的体重变化,以及在第6天测得的水平运动能力和垂直运动(增加)。抑郁样指标包括在强迫游泳试验中和运动中的不活动时间。在第6天进行尾部悬吊测试,在第7天进行蔗糖偏爱测试中的蔗糖消耗。同时考虑补充性疾病和类似抑郁症的指标,可以更精确地表征与BCG治疗相关的行为变化和小鼠之间的行为变化,相对于指标的单独分析。单变量和多变量分析证实了在试验初期BCG治疗组之间体重变化的差异。在第5天后,仍可测量BCG治疗组在抑郁样行为方面的显着差异。对于疾病和抑郁,多变量模型用于解释行为指标之间的相关性并相对于单变量模型提高分析精度的潜力已得到证实。指标。无监督学习方法揭示了所考虑的疾病和抑郁样指标所提供的补充信息。使用交叉验证的监督学习方法证实了BCG治疗组之间以及通过考虑疾病和抑郁样指标而确定的组内小鼠之间的细微差异。这些发现支持对疾病和抑郁症指标进行多变量和多维分析的建议,以增强对感染相关行为改变的系统理解。

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