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婴儿配方奶粉中添加特定益生元和后生元对早期粪便微生物组和代谢组动态的影响。

Early-life fecal microbiome and metabolome dynamics in response to an intervention with infant formula containing specific prebiotics and postbiotics.

机构信息

Instituto Hispalense de Pediatria, Sevilla, Spain.

Danone Nutricia Research, Utrecht, The Netherlands.

出版信息

Am J Physiol Gastrointest Liver Physiol. 2022 Jun 1;322(6):G571-G582. doi: 10.1152/ajpgi.00079.2021. Epub 2022 Mar 29.

Abstract

This study examined fecal metabolome dynamics to gain greater functional insights into the interactions between nutrition and the activity of the developing gut microbiota in healthy term-born infants. The fecal samples used here originate from a randomized, controlled, double-blind clinical study that assessed the efficacy of infant formula with prebiotics and postbiotics (experimental arm) compared with a standard infant formula (control arm). A group of exclusively breast-fed term infants was used as a reference arm. First, conventional targeted physiological and microbial measurements were performed, which showed differences in fecal levels and corresponding activity (e.g., lactate levels). Next, the overall fecal microbiota composition was determined by 16S rRNA gene amplicon sequencing. The microbiota composition profiles showed several bacterial groups in the experimental arm to be significantly different from the control arm and mostly closer to the levels observed in the reference arm. Finally, we applied an untargeted UPLC-MS/MS approach to examine changes in the fecal metabolome. Fecal metabolome profiles showed the most distinct separation, up to 404 significantly different metabolites, between the study arms. Our data reveal that infant formula with specific prebiotics and postbiotics may trigger responses in the intestinal microbiota composition that brings the ensuing fecal metabolite profile of formula-fed infants closer toward those observed in breast-fed infants. Furthermore, our results demonstrate a clear need for establishing an infant gut metabolome reference database to translate these metabolite profile dynamics into functional and physiologically relevant responses. Untargeted metabolomics techniques can provide a "snapshot" of an ecosystem in response to environmental stimuli, such as nutritional interventions. Our analyses of fecal samples from infants demonstrate the potential of phenotyping by metabolomics while deciphering the complex interactions of early-life nutrition and gut microbiome development.

摘要

本研究通过考察粪便代谢组动态,深入了解营养与发育中肠道微生物组活性之间的相互作用,从而获得更多关于健康足月出生婴儿的功能见解。本研究中使用的粪便样本源自一项随机、对照、双盲临床试验,该试验评估了添加益生元和后生元的婴儿配方奶粉(实验组)与标准婴儿配方奶粉(对照组)的功效。一组纯母乳喂养的足月婴儿作为参考组。首先,进行了常规的靶向生理和微生物测量,结果显示粪便水平和相应活性(例如乳酸水平)存在差异。然后,通过 16S rRNA 基因扩增子测序确定了整体粪便微生物群落组成。微生物群落组成谱显示,实验组中的几个细菌群与对照组有显著差异,且与参考组的水平更为接近。最后,我们应用非靶向 UPLC-MS/MS 方法来检测粪便代谢组的变化。粪便代谢组谱显示,研究组之间的分离最为明显,有多达 404 种代谢物存在显著差异。我们的数据表明,含有特定益生元和后生元的婴儿配方奶粉可能会引发肠道微生物群落组成的反应,使配方喂养婴儿的后续粪便代谢物谱更接近母乳喂养婴儿的代谢物谱。此外,我们的结果表明,需要建立婴儿肠道代谢组参考数据库,将这些代谢物谱动态转化为功能和生理相关的反应。非靶向代谢组学技术可以提供对生态系统的“快照”,以响应营养干预等环境刺激。我们对婴儿粪便样本的分析表明,代谢组学表型分析具有潜力,同时可以揭示早期生活营养与肠道微生物组发育的复杂相互作用。

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