Choice of Laboratory Rodent Diet May Confound Data Interpretation and Reproducibility

Author:

Pellizzon Michael A1,Ricci Matthew R1

Affiliation:

1. Research Diets, Inc, New Brunswick, NJ, USA

Abstract

ABSTRACT The reproducibility of experimental data is challenged by many factors in both clinical and preclinical research. In preclinical studies, several factors may be responsible, and diet is one variable that is commonly overlooked, especially by those not trained in nutrition. In particular, grain-based diets contain complex ingredients, each of which can provide multiple nutrients, non-nutrients, and contaminants, which may vary from batch to batch. Thus, even when choosing the same grain-based diet used in the past by others, its composition will likely differ. In contrast, purified diets contain refined ingredients that offer the ability to control the composition much more closely and maintain consistency from one batch to the next, while minimizing the presence of non-nutrients and contaminants. In this article, we provide several different examples or scenarios showing how the diet choice can alter data interpretation, potentially affecting reproducibility and knowledge gained within any given field of study.

Publisher

Oxford University Press (OUP)

Subject

Nutrition and Dietetics,Food Science,Medicine (miscellaneous)

Reference82 articles.

1. PREPARE: guidelines for planning animal research and testing;Smith;Lab Anim,2018

2. The common use of improper control diets in diet-induced metabolic disease research confounds data interpretation: the fiber factor;Pellizzon;Nutr Metab (Lond),2018

3. Comparisons of diets used in animal models of high-fat feeding;Warden;Cell Metab,2008

4. Subcommittee on Laboratory Animal Nutrition. Committee on Animal Nutrition, Board on Agriculture, National Research Council. Nutrient requirements of laboratory animals,1995

5. Contaminant and nutrient concentrations of natural ingredient rat and mouse diet used in chemical toxicology studies;Rao;Fundam Appl Toxicol,1987

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3