Effects of nitric oxide on HIF‐1α and FIH‐1 following <i>Clostridium difficile</i> toxin exposure
Bibliographic record
Abstract
Clostridium difficile (C.diff) is a leading cause of infectious colitis in humans. C.diff toxins disrupt the intestinal epithelial barrier and induce the release of proinflammatory mediators. The hypoxia‐inducible factor‐1 (HIF‐1α) is a stress‐induced transcription factor that mediates mucosal and barrier protective genes. Nitric oxide (NO) and the factor‐inhibiting HIF‐1α (FIH‐1) modulate HIF‐1α expression and signaling, respectively. We hypothesize that NO produced during C.diff toxin‐induced intestinal injury is an important signal to activate HIF‐1α‐mediated protection against C.diff toxin‐induced damage. The in vitro studies analyzed HIF‐1α and FIH‐1 levels during toxin exposure of Caco2 cells. Cells were challenged with both toxin and nitric oxide synthase (NOS) inhibitors to study NO effects on HIF‐1α/FIH‐1 expression. In vivo studies assessed ileal loop tissue from toxin‐treated wild‐type (WT) and inducible NOS knockout (iNOS KO) mice. We have identified that HIF‐1α levels increase at least two‐fold in toxin‐treated cells. FIH‐1 levels also show a 35% decrease in response to toxin. This increase in HIF‐1α protein was suppressed with NOS inhibition. In vivo , serum NO levels increased with toxin exposure; a response which was abrogated in iNOS KO mice. Further study is needed to demonstrate a direct effect of NO on HIF‐1α levels in response to C.diff toxin in vivo . Funding provided by CAG and CIHR.
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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".