Evidence map›Paper›PMID 40914513›Full record

Trial reportThe Journal of nutrition2025

Microbiota-Dependent Fiber Responses: A Proof-of-Concept Study on Short-Chain Fatty Acid Production in Prevotella- and Bacteroides-Dominated Healthy Individuals.

Madeline Bartsch, Marius Vital, Sabrina Woltemate, Freek G Bouwman, Shoma B Berkemeyer, Andreas Hahn, Mattea Müller

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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  8. The dual roles ofFrontiers in oncology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Madeline BartschInstitute of Food and One Health, Leibniz University Hannover, Hannover, Germany; NutritionLab, Faculty of Agricultural Sciences and Landscape Architecture, Osnabrueck University of Applied Sciences, Osnabrueck, Germany; Institute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany. Electronic address: bartsch@foh.uni-hannover.de.
Marius VitalInstitute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany.
Sabrina WoltemateInstitute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany.
Freek G BouwmanDepartment of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands.
Shoma B BerkemeyerNutritionLab, Faculty of Agricultural Sciences and Landscape Architecture, Osnabrueck University of Applied Sciences, Osnabrueck, Germany.
Andreas HahnInstitute of Food and One Health, Leibniz University Hannover, Hannover, Germany.
Mattea MüllerInstitute of Food and One Health, Leibniz University Hannover, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDietary fiber supports metabolic health via microbial fermentation, producing short-chain fatty acids (SCFAs). However, metabolic responses to fiber vary between individuals, potentially due to differences in gut microbiota composition. The Prevotella-to-Bacteroides ratio has emerged as a potential biomarker for fiber responsiveness.

objectivesThis study examined how stratified fiber supplementation affects microbial and metabolic outcomes in individuals with Prevotella (P-type)- or Bacteroides-dominated (B-type) microbiota.

methodsIn this single-blinded, randomized crossover study, 23 healthy adults were classified as P-type (≥10% Prevotella) or B-type (≥10% Bacteroides) via 16S rRNA sequencing. Participants consumed 15 g/d of arabinoxylan (AX), inulin (INU), or placebo (PLA) for 1 wk each, with 2-wk washouts. After each phase, fasting and postprandial plasma SCFAs, branched-chain fatty acids (BCFAs), breath hydrogen, glucose, insulin, peptide YY, cholesterol, appetite ratings, and fecal microbiota were assessed. Data were analyzed using repeated-measures analysis of variance, the Friedman test, and multivariate microbiome analysis.

resultsIn P-types, AX increased fasting propionate compared with PLA (P = 0.04). In B-types, AX increased fasting propionate compared with INU (P = 0.02) and tended to elevate postprandial propionate compared with PLA in the first 60 min after breakfast (P = 0.05). AX also increased postprandial acetate compared with PLA in B-types (P = 0.04). INU reduced fasting BCFAs in B-types (P < 0.05) but did not increase SCFAs. Breath hydrogen varied widely in B-types after INU but not in P-types. Neither fiber affected glucose, insulin, or PYY. AX reduced appetite ratings in P-types (P < 0.05). INU increased Anaerostipes and Bifidobacterium and reduced Phocaeicola in both groups (q < 0.25). AX increased Fusicatenibacter in B-types (q = 0.18) and Paraprevotella in P-types (q = 0.17).

conclusionsB-types exhibited fiber-specific shifts in SCFA and BCFA metabolism and breath hydrogen, whereas P-types displayed a more limited overall response, with fewer metabolic and microbial parameters affected. These findings highlight the complexity of diet-microbiota interactions and support the potential relevance for microbiota-based nutrition strategies. This trial (PERIFIB) was registered at the German Clinical Trials register (DRKS) as DRKS00028898.

Indexed as

BacteroidesDietary FiberFatty Acids, VolatileGastrointestinal MicrobiomePrevotellaAdultCross-Over StudiesFecesFemaleHumansInulinMaleMiddle AgedSingle-Blind MethodXylansYoung AdultarabinoxylanDietary FiberFatty Acids, VolatileInulinXylansbranched-chain fatty acidsenterotypesfiber responsivenessmicrobiota–diet interactionspersonalized nutrition

Identifiers

PMID40914513
PMCPMC12799433

What OpenQuestion holds

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Registered trials

None linked

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.