Gut Microbiota Response to Resistant Dextrin in a Randomized Controlled Pilot Study
by Caroline Perreau·Updated 16d ago
22.0 KB1files
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Description
A 2026 pilot study of 124 healthy male adults, split by high or low dietary fiber intake, who received a 4-week supplementation of resistant dextrin or a placebo. The dataset, authored by Caroline Perreau, captures changes in gut microbiota composition, fecal parameters, and stool characteristics from this randomized, double-blinded, controlled trial.
Use Cases
Modeling the relationship between fiber supplementation and Parabacteroides genus abundance based on trial results.
Analyzing differential gut microbiota responses in high-fiber versus low-fiber diet populations as described in the study.
Investigating correlations between resistant dextrin intake and changes in specific bacterial species like P. distasonis.
Studying the functional impact of supplementation on bacterial gene activities for glucosidase and propionate production.
Strengths
Data originates from a randomized, double-blind, placebo-controlled trial, a rigorous study design.
Includes results for 124 subjects with a mean age of 36.2 ± 11.6 years, providing a specific demographic.
Reports specific, statistically significant findings, such as Parabacteroides increasing to 5.5% from 1.4% with active supplementation.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The dataset is very small at 22.0 KB, indicating limited scope, likely containing summary results rather than raw individual-level data.
Provenance
Source
Caroline Perreau via figshare.
Collection Method
Data collected from a randomized, double-blinded, placebo-controlled pilot clinical trial (NCT05105425).
Time Range
The intervention period was 4 weeks, with assessments post-intervention and 2 weeks later.
Freshness
Last updated 2026-05-20 16:01:28; freshness should be verified.
Primary data file is a DOCX document, which may require parsing to extract structured data.