Methodological recommendations for human microbiota-gut-brain axis research

Yangwen Ou, Clara Belzer, Hauke Smidt, C. de Weerth
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Abstract

Observational studies have determined numerous correlations between sequence-based gut microbiota data and human mental traits. However, these associations are often inconsistent across studies. This inconsistency is one of the reasons that mechanistic validation studies of the observed correlations are lagging, making it difficult to establish causal associations. The absence of consistent study findings may partially be due to the lack of clear guidelines for identifying confounders of relations between complex microbial communities and mental conditions. Gut microbial complexity also impedes deciphering microbiota-host relations by using a single analytical approach. The aim of the current review is to help solve these problems by providing methodological recommendations for future human microbiota-gut-brain axis research on the selection of confounders, the use of integrative biostatistical methods, and the steps needed to translate correlative findings into causal conclusions.
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人类微生物群-肠-脑轴研究方法建议
观察性研究确定了基于序列的肠道微生物群数据与人类心理特征之间的许多相关性。然而,这些关联在不同的研究中往往并不一致。这种不一致性是对观察到的相关性进行机理验证研究滞后的原因之一,从而导致难以确定因果关系。研究结果不一致的部分原因可能是缺乏明确的指导方针来确定复杂微生物群落与精神状况之间关系的混杂因素。肠道微生物的复杂性也阻碍了使用单一分析方法来解读微生物群与宿主之间的关系。本综述旨在通过为未来人类微生物群-肠-脑轴研究提供有关混杂因素的选择、综合生物统计方法的使用以及将相关研究结果转化为因果结论所需的步骤等方面的方法建议,帮助解决这些问题。
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