Pellizzon Michael A, Ricci Matthew R
Research Diets, Inc, New Brunswick, NJ, USA.
Curr Dev Nutr. 2020 Mar 9;4(4):nzaa031. doi: 10.1093/cdn/nzaa031. eCollection 2020 Apr.
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.
在临床和临床前研究中,实验数据的可重复性受到多种因素的挑战。在临床前研究中,可能有几个因素起作用,而饮食是一个常被忽视的变量,尤其是那些没有接受过营养培训的人。特别是,谷物类饮食含有复杂的成分,每种成分都能提供多种营养素、非营养素和污染物,而且批次之间可能会有所不同。因此,即使选择过去其他人使用过的相同谷物类饮食,其成分也可能不同。相比之下,纯化饮食含有精制成分,能够更紧密地控制成分,并在批次之间保持一致性,同时尽量减少非营养素和污染物的存在。在本文中,我们提供了几个不同的例子或场景,展示了饮食选择如何改变数据解释,可能会影响任何特定研究领域内的可重复性和所获得的知识。