<i>Saccharomyces boulardii</i> CNCM I‐745 modulates the microbiota–gut–brain axis in a humanized mouse model of Irritable Bowel Syndrome
Bibliographic record
Abstract
BACKGROUND: Gnotobiotic mice colonized with microbiota from patients with irritable bowel syndrome (IBS) and comorbid anxiety (IBS+A) display gut dysfunction and anxiety-like behavior compared to mice colonized with microbiota from healthy volunteers. Using this model, we tested the therapeutic potential of the probiotic yeast Saccharomyces boulardii strain CNCM I-745 (S. bou) and investigated underlying mechanisms. METHODS: Germ-free Swiss Webster mice were colonized with fecal microbiota from an IBS+A patient or a healthy control (HC). Three weeks later, mice were gavaged daily with S. boulardii or placebo for two weeks. Anxiety-like behavior (light preference and step-down tests), gastrointestinal transit, and permeability were assessed. After sacrifice, samples were taken for gene expression by NanoString and qRT-PCR, microbiota 16S rRNA profiling, and indole quantification. KEY RESULTS: Mice colonized with IBS+A microbiota developed faster gastrointestinal transit and anxiety-like behavior (longer step-down latency) compared to mice with HC microbiota. S. bou administration normalized gastrointestinal transit and anxiety-like behavior in mice with IBS+A microbiota. Step-down latency correlated with colonic Trpv1 expression and was associated with altered microbiota profile and increased Indole-3-acetic acid (IAA) levels. CONCLUSIONS & INFERENCES: Treatment with S. bou improves gastrointestinal motility and anxiety-like behavior in mice with IBS+A microbiota. Putative mechanisms include effects on pain pathways, direct modulation of the microbiota, and indole production by commensal bacteria.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".