Hydrogen Sulfide Protects from Colitis and Restores Intestinal Microbiota Biofilm and Mucus Production
Bibliographic record
Abstract
BACKGROUND: Microbiota dysbiosis and impaired barrier function are among the most prominent features of inflammatory bowel disease. In the gastrointestinal tract, hydrogen sulfide (H(2)S) is an important regulator of mucosal homeostasis. We hypothesized that H(2)S promotes resolution of colonic inflammation through actions on microbiota biofilm and the mucus barrier. METHODS: We used mice genetically deficient for a key enzyme for H(2)S production (cystathionine γ-lyase) and pharmacologically inhibited that enzyme during colitis in wild-type mice. We tested the effects of administering an H(2)S donor (diallyl disulfide) to rodents during hapten-induced colitis. Colonic microbiota biofilm was visualized by fluorescent in situ hybridization, and mucus granules were quantified with periodic acid-alcian blue staining. We exposed human microbiota biofilms and planktonic bacteria to H(2)S donors ex vivo to determine changes in their growth, viability, and biomass. RESULTS: Intestinal microbiota formed linear biofilms in the colon of healthy rodents. During colitis, microbiota biofilms were fragmented and mucus granule production decreased. Endogenous production of H(2)S had beneficial effects on establishment of microbiota biofilms and colonic mucus production. Therapeutic delivery of H(2)S into the colon reduced inflammation, restored the microbiota biofilm, and increased the production of mucus granules. In ex vivo human microbiota, H(2)S not only promoted biofilm formation but also reduced growth of planktonic bacteria. CONCLUSIONS: Our results suggest that H(2)S donors could be used therapeutically during colitis, facilitating correction of microbiota biofilm dysbiosis and mucus layer reconstitution.
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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) | 0.001 | 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".