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考虑在饮食诱导体重增加的小鼠模型中最大限度地增加脂肪量。

Considerations to maximize fat mass gain in a mouse model of diet-induced weight gain.

机构信息

Minnesota Obesity Prevention Center, University of Minnesota, Minneapolis, USA.

出版信息

Lab Anim. 2013 Oct;47(4):266-73. doi: 10.1177/0023677213501658.

DOI:10.1177/0023677213501658
PMID:24025568
Abstract

Mouse experimental models of diet-induced weight gain are commonly used as analogs to human obesity; however, a wide variety of feeding methods have been used and the most effective way to maximize weight gain is not known. Maximizing weight gain may allow for a reduction in the number of animals required for a given experiment. The purpose of this study was how to cause the greatest amount of weight gain in CD-1 mice by modifying the composition and source of their diet. To accomplish this goal, we completed two experiments: (1) Effect of dietary macronutrient fat intake (60% (HF60), 45% (HF45), 30% (HF30), or 13.5% (CON) fat diet for 18 weeks); and (2) Effect of 1:1 mixed HF60 and CON diets. Outcome measures included food intake, body mass, and body composition, which were measured bi-weekly and statistically analyzed using a repeated measures analysis of variance (RM-ANOVA). In Experiment 1, the greatest increase in body and fat mass was observed in HF60 (36%) and HF45 (29%) compared with HF30 and CON (P < 0.05). In Experiment 2, HF + stock diet (SK) gained 25% more body mass and 70% more fat mass than HF (P < 0.05). Collectively, these findings suggest that using a high-fat based diet (>45% calories from fat), mixed with a stock diet, results in substantially more weight gain over a similar period, of time, which would allow an investigator to use ~40% fewer animals in their experimental model.

摘要

以饮食诱导体重增加的小鼠实验模型通常被用作人类肥胖的模拟物;然而,已经使用了各种各样的饲养方法,并且不知道最有效的方法来最大限度地增加体重。最大限度地增加体重可能会减少给定实验所需的动物数量。本研究的目的是通过改变饮食中宏量营养素脂肪的组成和来源,使 CD-1 小鼠体重增加最多。为了实现这一目标,我们完成了两项实验:(1)饮食中宏量营养素脂肪摄入量的影响(60%(HF60)、45%(HF45)、30%(HF30)或 13.5%(CON)脂肪饮食 18 周);和(2)1:1 混合 HF60 和 CON 饮食的影响。测量指标包括食物摄入量、体重和体成分,每两周测量一次,并使用重复测量方差分析(RM-ANOVA)进行统计分析。在实验 1 中,与 HF30 和 CON 相比,HF60(36%)和 HF45(29%)的体重和脂肪量增加最多(P < 0.05)。在实验 2 中,HF + 库存饮食(SK)比 HF 增加了 25%的体重和 70%的脂肪量(P < 0.05)。总之,这些发现表明,使用高脂肪基础饮食(>45%的热量来自脂肪),与库存饮食混合,会在相似的时间内导致体重显著增加,这将使研究人员在实验模型中使用约 40%的动物。

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