ArticleiMeta2025
Temporal response patterns of human gut microbiota to dietary fiber.
Article in iMeta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Gut microbiome predicts personalized responses to dietary fiber in prediabetes: a randomized, open-label trial.Nature communications · 2025Trial
- Engineered probiotic-derived indole-3-propionic acid inhibits ubiquitination via AHR signaling to treat postmenopausal osteoporosis.Gut microbes · 2026Article
- Deciphering microbial community dynamics using cross-sectional data-informed NeuralODE.Microbiome · 2026Article
- Sunflower-Derived Pectin Oligogalacturonides Promote Defecation in Mice.Foods (Basel, Switzerland) · 2026Article
- Interactive effects of dietary crude protein reduction and resistant starch inclusion on growth performance and cecal microbial fermentation in broiler chickens.Poultry science · 2026Article
- Early life nutritional imbalance impairs colonic epithelial regeneration through gut microbiota dysbiosis and metabolic suppression.The ISME journal · 2026Article
- Gut microbiota responses to two-dimensional materials: insights fromFrontiers in toxicology · 2026Review
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.