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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Publication Details

Journal
iMeta
Published
2025-05-10
DOI
https://doi.org/10.1002/imt2.70046
Citations
4
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
3.22

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article

Temporal response patterns of human gut microbiota to dietary fiber

Chaoxun Wang, Chenhong Zhang, Rui Zhai, Yin Zhu et al.
4 citations
iMeta
Gut microbiota and health
3.22
article

Temporal response patterns of human gut microbiota to dietary fiber

Chaoxun Wang, Chenhong Zhang, Rui Zhai, Yin Zhu, Xiaotong Lin, Bilu Liu
article en
4 citations

Abstract

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.

iMetaVol. 4(4)
Shanghai Jiao Tong University (CN), Fudan University (CN), Pudong Medical Center (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 8%
Gut microbiota and health
3.22
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