用因子设计研究生理实验动物模型中的问题

Eli-Anne B Gjerde , Dag Marcus Eide , Aurora Brønstad , Rolf K Reed
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引用次数: 2

摘要

在本研究中,我们使用析因设计研究了四个变量,以确定其中是否有任何变量可以解释大鼠气管间质液压力(Pif)控制测量的变化。这种方法只需要单独研究每个因素时通常需要的动物的一小部分。用伺服反压系统测量气管组织中的Pif,使用锐化微移管。测量在60分钟的时间内进行,并以每15分钟的平均值表示。本研究考察的因素为:三品系雌性大鼠(Strain)、两种品牌的饮食(Food);两个育种公司(来源);最后两批同一组动物重复实验两次(周),共使用48只动物。在第一周内有极显著的效果(p=0.007),但在第二周没有观察到这种反应。Strain×Week与Strain、Week的交互作用不显著(p=0.007)。在研究的两个实验周中,菌株和食物的反应模式不一致。这些实验使我们能够同时测试几个因素,并排除这些因素作为我们实验中观察到的变化的原因,因为实验不允许得出一个或几个这些因素可以解释Pif变化的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Problems in physiological experimental animal models investigated with factorial design

Problems in physiological experimental animal models investigated with factorial design

Problems in physiological experimental animal models investigated with factorial design

In the present study we investigated four variables using factorial design to decide if any of these could explain the variations in the control measurements of interstitial fluid pressure (Pif) in rat trachea that were experienced. This approach requires only a fraction of the animals normally needed when studying each factor separately. Pif in tracheal tissue was measured with the servocontrolled counterpressure system using sharpened micropipettes. The measurements were performed over a period of 60 min and are presented as mean for every 15 min period. The factors investigated in the study were: three strains of female rats (Strain) two brands of diets (Food); two breeder companies (Source); and finally two batches of the same set of animals to repeat the experiment twice (Week), using a total of 48 animals. There was a highly significant effect within Strain the first week (p=0.007), but this response was not observed the second week. The interaction between Strain×Week was significant (p=0.007) while the main effects Strain or Week alone were not significant. The response pattern for Strain and Food was inconsistent for the two experimental weeks studied. These experiments made it possible for us to simultaneously test several factors and exclude these factors as the reason for the observed changes in our experiments since the experiments did not allow the conclusion that one or several of these factors could explain the variation in Pif.

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