人类肠道菌群对膳食纤维的时间反应模式

IF 23.7 Q1 MICROBIOLOGY
iMeta Pub Date : 2025-05-10 DOI:10.1002/imt2.70046
Xiaotong Lin, Chaoxun Wang, Biao Liu, Yin Zhu, Rui Zhai, Chenhong Zhang
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引用次数: 0

摘要

肠道菌群是一个高度动态和复杂的生态系统。然而,其成员对膳食纤维的反应过程仍不完全清楚。在这里,我们在习惯饮食的情况下进行了为期14天的每日抽样观察,随后对患有和不患有2型糖尿病的超重参与者进行了为期14天的膳食纤维干预。通过结合日常采样、行会级方法和时间序列分析,我们揭示了不同微生物群成员之间的不同时间响应模式,这些模式通常被传统采样所遗漏。这些模式与它们利用和运输碳水化合物的遗传能力密切相关。此外,纵向多组学数据的延时分析确定了可能介导肠道微生物群对宿主代谢有益作用的特定代谢物。总的来说,我们的发现证明了高频采样对于捕获动态微生物反应的必要性,并为机制研究提供了可靠的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Temporal response patterns of human gut microbiota to dietary fiber

Temporal response patterns of human gut microbiota to dietary fiber

The gut microbiota is a highly dynamic and complex ecosystem. However, the processes by which its members respond to dietary fibers remain incompletely understood. Here, we performed daily sampling over a 14-day observational period under the habitual diet, followed by a 14-day dietary fiber intervention in overweight participants with and without type 2 diabetes mellitus. By combining daily sampling, guild-level approach, and time-series analysis, we revealed diverse temporal response patterns among various microbiota members that are often missed by conventional sampling. These patterns were closely linked to their genetic capacities for carbohydrate utilization and transport. Moreover, time-delayed analysis of longitudinal multi-omics data identified specific metabolites that potentially mediate the beneficial effects of gut microbiota on host metabolism. Overall, our findings demonstrate the necessity of high-frequency sampling for capturing dynamic microbial responses and offer reliable targets for mechanistic investigations.

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CiteScore
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