Phage intervention improves colitis and response to corticosteroids by attenuating virulence of Crohn’s disease-associated bacteria
Bibliographic record
Abstract
Abstract Adherent-invasive Escherichia coli (AIEC) exhibit proinflammatory properties and have been implicated in the pathogenesis of Crohn’s disease (CD), a form of inflammatory bowel disease (IBD). Antibiotic use in CD lacks specificity and may worsen microbiome disruption, prompting interest in bacteriophages (phages) for targeted microbiome editing. Here, we identified HER259, a phage active against the clinical AIEC strain NRG857c. Using gnotobiotic models of AIEC-driven colitis, we show that HER259 attenuates AIEC virulence, including suppression of the FimH adhesin through inversion of the fimS promoter to its ‘off’ orientation. Withdrawal of HER259 treatment leads to reversion of the fimS promoter and reactivated colitis in mice. HER259 phage also enhances the therapeutic effect of sub-therapeutic budesonide, independent of microbial drug metabolism. These findings support targeted phage therapy as an adjunct treatment approach in IBD, demonstrating modulation of bacterial virulence and improved response to conventional treatments which may reduce drug-related side effects. One Sentence Summary Bacteriophage HER259 improves colitis severity mediated by Crohn’s disease Escherichia coli NRG857c, and increases efficacy of budesonide.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".