开展大队列比较研究,明确影响ASD患者肠道微生物群落结构的因素。

Microbial Ecology in Health and Disease Pub Date : 2015-03-09 eCollection Date: 2015-01-01 DOI:10.3402/mehd.v26.26555
Daniel McDonald, Mady Hornig, Catherine Lozupone, Justine Debelius, Jack A Gilbert, Rob Knight
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引用次数: 25

摘要

据报道,自闭症谱系障碍(ASD)患者和神经正常对照组之间的肠道微生物群存在差异,尽管迄今为止很少有直接证据表明微生物群的变化导致了ASD的发生。在这里,我们总结了一些实验设计的考虑,可以帮助解开这个复杂系统中的因果关系。特别是,可以排除饮食等重要变量的大型横断面研究,消除微生物组人际差异影响的前瞻性纵向研究(通常很高,特别是在儿童中),以及将微生物群落转移到无菌小鼠的研究可能特别有用。在生物效应很小的情况下,控制技术变量的影响是至关重要的,这些技术变量使结合现有研究的努力变得复杂。像美国肠道项目这样有数千名参与者的大型公民科学研究已经有效地揭示了自我收集的样本和自我报告的饮食和行为数据中微妙的微生物组效应,并可能为其他类型的传统资助和开展的ASD研究提供有用的补充,特别是在假设生成阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards large-cohort comparative studies to define the factors influencing the gut microbial community structure of ASD patients.

Differences in the gut microbiota have been reported between individuals with autism spectrum disorders (ASD) and neurotypical controls, although direct evidence that changes in the microbiome contribute to causing ASD has been scarce to date. Here we summarize some considerations of experimental design that can help untangle causality in this complex system. In particular, large cross-sectional studies that can factor out important variables such as diet, prospective longitudinal studies that remove some of the influence of interpersonal variation in the microbiome (which is generally high, especially in children), and studies transferring microbial communities into germ-free mice may be especially useful. Controlling for the effects of technical variables, which have complicated efforts to combine existing studies, is critical when biological effect sizes are small. Large citizen-science studies with thousands of participants such as the American Gut Project have been effective at uncovering subtle microbiome effects in self-collected samples and with self-reported diet and behavior data, and may provide a useful complement to other types of traditionally funded and conducted studies in the case of ASD, especially in the hypothesis generation phase.

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