Knuth Megan M, Campos Carolina Vieira, Smith Kirsten, Hutchins Elizabeth K, Lewis Shantae, York Mary, Coghill Lyndon M, Franklin Craig, MacFarlane Amanda J, Ericsson Aaron C, Magnuson Terry, Ideraabdullah Folami
Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Lab Anim (NY). 2025 Jan;54(1):24-36. doi: 10.1038/s41684-024-01477-1. Epub 2024 Dec 5.
Standard chow diets influence reproducibility in animal model experiments because chows have different nutrient compositions, which can independently influence phenotypes. However, there is little evidence of the role of timing in the extent of variability caused by chow exposure. Here we measured the impact of different diets (5V5M, 5V0G, 2920X and 5058) and timing of exposure (adult exposure (AE), lifetime exposure (LE) and developmental exposure (DE)) on growth and development, metabolic health indicators and gut bacterial microbiota profiles across genetically identical C57BL/6J mice. Diet drove differences in macro- and micronutrient intake for all exposure models. AE had no effect on phenotypic outcomes. However, LE mice exhibited significant sex-dependent diet effects on growth, body weight and body composition. LE effects were mostly absent in the DE model, where mice were exposed to chow differences only from conception to weaning. Both AE and LE models exhibited similar diet-driven beta diversity profiles for the gut bacterial microbiota, with 5058 diet driving the most distinct profile. However, compared with AE, LE effects on beta diversity were sex dependent, and LE mice exhibited nine times more differentially abundant bacterial genera, the majority of which were inversely affected by 2920X and 5058 diets. Our findings demonstrate that LE to different chow diets has the greatest impact on the reproducibility of several experimental measures commonly used in preclinical mouse model studies. Importantly, weaning mice from different diets onto the same diet for maturation may be an effective way to reduce unwanted phenotypic variability among experimental models.
标准饲料饮食会影响动物模型实验的可重复性,因为不同饲料的营养成分不同,这会独立影响表型。然而,关于饲料暴露时间在变异性程度中所起作用的证据很少。在此,我们测量了不同饮食(5V5M、5V0G、2920X和5058)以及暴露时间(成年期暴露(AE)、终生暴露(LE)和发育期暴露(DE))对基因相同的C57BL/6J小鼠的生长发育、代谢健康指标和肠道细菌微生物群谱的影响。对于所有暴露模型,饮食导致了常量营养素和微量营养素摄入量的差异。成年期暴露对表型结果没有影响。然而,终生暴露的小鼠在生长、体重和身体组成方面表现出显著的性别依赖性饮食效应。在发育期暴露模型中,终生暴露的影响大多不存在,在该模型中,小鼠仅在从受孕到断奶期间暴露于不同的饲料。成年期暴露和终生暴露模型在肠道细菌微生物群方面均表现出类似的饮食驱动的β多样性谱,5058饮食驱动的谱最为独特。然而,与成年期暴露相比,终生暴露对β多样性的影响具有性别依赖性,并且终生暴露的小鼠有差异丰富的细菌属的数量多出九倍,其中大多数受到2920X和5058饮食的反向影响。我们的研究结果表明,终生暴露于不同的饲料饮食对临床前小鼠模型研究中常用的几种实验指标的可重复性影响最大。重要的是,将断奶小鼠从不同饮食转换为相同饮食以使其成熟,可能是减少实验模型中不必要的表型变异性的有效方法。