Hydrogen sulfide protects from colitis: a possible role in stabilizing gut microbiota (898.3)
Bibliographic record
Abstract
We hypothesised that hydrogen sulfide (H 2 S) modifies gut microbiota and resolves intestinal inflammation. Rats were gavaged with diallyl disulfide (DADs), and colitis was induced by dinitrobenzene sulfonic acid (DNBS). Colitis severity was assessed by macroscopical, biochemical, and histological analysis. Microbial genetic diversity was performed by denaturing gradient gel electrophoresis. Antimicrobial activity of DADs, NaHS and Na 2 S was evaluated by plating and growth assays. Human intestinal epithelial cell lines were used to assess expression levels of antimicrobial peptides by qRT‐PCR, western‐blotting and immunofluorescence. Administration of DADs increased the expression of cathelicidin, separated the microbiota from the host by a thick mucus barrier, and slightly altered microbial genetic diversity. Treatment of DNBS animals with an inhibitor of H 2 S‐producing enzyme provoked a more severe colitis, enhanced the presence of mucosa‐associated microbial aggregates, and altered mucus barrier. These inflammatory parameters were all reduced when DNBS‐treated animals were given DADs. In vitro, H 2 S‐releasing compounds inhibited the growth of four strains of gut bacteria. Additionally, H 2 S altered the level of expression of cathelicidin and trefoil factor‐3 in human epithelial cells. The findings shed a new light on the therapeutic potential of H 2 S delivery during the course of colitis. Grant Funding Source : Izaak Walton Killam PDF fellowship / University of Calgary Eye's High PDF fellowship
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 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) | 0.003 | 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".