Inflammation and bacteriophages affect DNA inversion states and functionality of the gut microbiota
Bibliographic record
Abstract
Summary Reversible genomic DNA-inversions control expression of numerous bacterial molecules in the human gut, but how this relates to disease remains uncertain. By analyzing metagenomic samples from six human Inflammatory Bowel Disease cohorts combined with mice experimentation, we identified multiple invertible regions where a particular orientation was correlated with disease. These include the promoter of the anti-inflammatory polysaccharide-A (PSA) of Bacteroides fragilis , which is mostly oriented ‘OFF’ during inflammation but is present in the ‘ON’ orientation when inflammation is resolved. We further detected increased abundances of B. fragilis -associated bacteriophages in patients with the PSA ‘OFF’ orientation, and a significant reduction in the frequency of the ‘ON’ orientation, in the presence of the B. fragilis -associated bacteriophage, thereby altering the bacterial induced immune modulation. Altogether, we reveal dynamic and reversible bacterial phase-variations driven both by bacteriophages and the host inflammatory state, signifying bacterial functional plasticity during inflammation and opening future research avenues.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".