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Improving basic and translational science by accounting for litter-to-litter variation in animal models

机译:通过考虑动物模型中窝间差异来改善基础和转化科学

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摘要

BackgroundAnimals from the same litter are often more alike compared with animals from different litters. This litter-to-litter variation, or “litter effects”, can influence the results in addition to the experimental factors of interest. Furthermore, sometimes an experimental treatment can only be applied to whole litters rather than to individual offspring. An example is the valproic acid (VPA) model of autism, where VPA is administered to pregnant females thereby inducing the disease phenotype in the offspring. With this type of experiment the sample size is the number of litters and not the total number of offspring. If such experiments are not appropriately designed and analysed, the results can be severely biased as well as extremely underpowered.
机译:与来自不同垃圾的动物相比,来自同一垃圾的动物通常更相似。凋落物之间的差异或“凋落物效应”除了影响实验因素外,还会影响结果。此外,有时只能将实验性方法应用于整个产仔,而不能应用于单个后代。一个例子是自闭症的丙戊酸(VPA)模型,其中将VPA施用给怀孕的女性,从而在后代中诱发疾病表型。在这种类型的实验中,样本量是窝数而不是后代总数。如果没有对这些实验进行适当的设计和分析,则结果可能会产生严重偏差,甚至导致功能不足。

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