食物-母乳组合改变断奶婴儿的结肠微生物群:一项模拟研究。

IF 5 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2024-09-17 Epub Date: 2024-08-27 DOI:10.1128/msystems.00577-24
Vitor G da Silva, Nick W Smith, Jane A Mullaney, Clare Wall, Nicole C Roy, Warren C McNabb
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引用次数: 0

摘要

婴儿开始食用固体食物(也称为断奶)是人类结肠中复杂微生物群落发展的关键点,会影响婴儿期和以后生活中的宿主生理。这项研究利用名为 "微生物群落 "的元基因组尺度代谢模型,对食物-母乳组合对新西兰断奶婴儿结肠微生物的生长和代谢产物产生的影响进行了研究。研究人员将 89 种食物分别与母乳混合,并确定了对微生物产生的短链脂肪酸(SCFA)和支链脂肪酸(BCFA)影响最大的 12 种组合。富含纤维和多酚的食物(如南瓜和黑加仑)与母乳混合后,SCFAs 总通量以及丙酸盐和乙酸盐单个通量的预测增幅最大。将确定的食物与其他食物和母乳进一步组合,产生了 66 种多种食物-母乳组合。这些组合改变了单种食物对微生物产生 SCFAs 和 BCFAs 的影响,表明组成膳食的膳食化合物之间的相互作用是影响结肠微生物的关键因素。黑加仑与其他食物和母乳一起食用能最大程度地促进醋酸酯和总 SCFAs 的产生,而猪肉与其他食物和母乳一起食用则会减少总 BCFAs 的产生。传统的体外和体内微生物组方法因耗费资源而受到限制。建模方法是一种很有前景的补充工具,可帮助人们深入了解微生物群落的行为。本研究采用快速、廉价的硅学方法,评估了食物与其他食物和母乳的组合如何影响断奶婴儿结肠微生物产生短链脂肪酸和支链脂肪酸。这里确定的食物和食物组合是未来实验研究的候选对象,有助于填补婴儿营养方面的一个重要知识空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Food-breastmilk combinations alter the colonic microbiome of weaning infants: an in silico study.

The introduction of solid foods to infants, also known as weaning, is a critical point for the development of the complex microbial community inhabiting the human colon, impacting host physiology in infancy and later in life. This research investigated in silico the impact of food-breastmilk combinations on growth and metabolite production by colonic microbes of New Zealand weaning infants using the metagenome-scale metabolic model named Microbial Community. Eighty-nine foods were individually combined with breastmilk, and the 12 combinations with the strongest influence on the microbial production of short-chain fatty acids (SCFAs) and branched-chain fatty acids (BCFAs) were identified. Fiber-rich and polyphenol-rich foods, like pumpkin and blackcurrant, resulted in the greatest increase in predicted fluxes of total SCFAs and individual fluxes of propionate and acetate when combined, respectively, with breastmilk. Identified foods were further combined with other foods and breastmilk, resulting in 66 multiple food-breastmilk combinations. These combinations altered in silico the impact of individual foods on the microbial production of SCFAs and BCFAs, suggesting that the interaction between the dietary compounds composing a meal is the key factor influencing colonic microbes. Blackcurrant combined with other foods and breastmilk promoted the greatest increase in the production of acetate and total SCFAs, while pork combined with other foods and breastmilk decreased the production of total BCFAs.IMPORTANCELittle is known about the influence of complementary foods on the colonic microbiome of weaning infants. Traditional in vitro and in vivo microbiome methods are limited by their resource-consuming concerns. Modeling approaches represent a promising complementary tool to provide insights into the behavior of microbial communities. This study evaluated how foods combined with other foods and human milk affect the production of short-chain fatty acids and branched-chain fatty acids by colonic microbes of weaning infants using a rapid and inexpensive in silico approach. Foods and food combinations identified here are candidates for future experimental investigations, helping to fill a crucial knowledge gap in infant nutrition.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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