Laukens Debby, Brinkman Brigitta M, Raes Jeroen, De Vos Martine, Vandenabeele Peter
Department of Gastroenterology, Ghent University, B-9000 Ghent, Belgium.
Inflammation Research Center, VIB, B-9052 Ghent, Belgium Department of Biomedical Molecular Biology, Ghent University, B-9052 Ghent, Belgium.
FEMS Microbiol Rev. 2016 Jan;40(1):117-32. doi: 10.1093/femsre/fuv036. Epub 2015 Aug 30.
Targeted manipulation of the gut flora is increasingly being recognized as a means to improve human health. Yet, the temporal dynamics and intra- and interindividual heterogeneity of the microbiome represent experimental limitations, especially in human cross-sectional studies. Therefore, rodent models represent an invaluable tool to study the host-microbiota interface. Progress in technical and computational tools to investigate the composition and function of the microbiome has opened a new era of research and we gradually begin to understand the parameters that influence variation of host-associated microbial communities. To isolate true effects from confounding factors, it is essential to include such parameters in model intervention studies. Also, explicit journal instructions to include essential information on animal experiments are mandatory. The purpose of this review is to summarize the factors that influence microbiota composition in mice and to provide guidelines to improve the reproducibility of animal experiments.
对肠道菌群进行靶向调控日益被视为改善人类健康的一种手段。然而,微生物组的时间动态变化以及个体内和个体间的异质性构成了实验限制,尤其是在人类横断面研究中。因此,啮齿动物模型是研究宿主 - 微生物群界面的宝贵工具。研究微生物组组成和功能的技术与计算工具的进步开启了一个新的研究时代,并且我们逐渐开始了解影响宿主相关微生物群落变异的参数。为了从混杂因素中分离出真正的效应,在模型干预研究中纳入这些参数至关重要。此外,明确要求在期刊中包含动物实验基本信息的说明是强制性的。本综述的目的是总结影响小鼠微生物群组成的因素,并提供提高动物实验可重复性的指导原则。