Effects of Nitric Oxide and Reactive Oxygen Species on HIF-1a Stabilization Following<b><i>Clostridium Difficile</i></b>Toxin Exposure of the Caco-2 Epithelial Cell Line
Bibliographic record
Abstract
BACKGROUND/AIMS: Stabilization of the hypoxia-inducible factor (HIF-1α) is proposed to provide a protective host-response to C. difficile intoxication. Here, we aimed to elucidate whether nitric oxide and/or reactive oxygen species produced during C. difficile toxin exposure could influence HIF-1α stability and initiate protection against epithelial cell damage. METHODS/RESULTS: HIF-1α and inducible nitric oxide synthase (iNOS) proteins were up-regulated whereas factor-inhibiting HIF-1 (FIH-1) protein was down-regulated in Caco-2 epithelial cell monolayers with in vitro toxin exposure. We demonstrate using the biotin-switch assay that the stabilization of HIF-1α protein occurred via iNOS-dependent nitrosylation. Inhibition of iNOS activity by selective inhibitor (1400W) attenuated HIF-1α stabilization and exacerbated toxin-dependent disruptions in Caco-2 monolayer morphology and tight junctional integrity in vitro. Treatment of Caco-2 cell monolayers with N-actylcysteine (NAC), a scavenger of reactive oxygen species (ROS), attenuated toxin-dependent increases in iNOS and HIF-1α protein levels but had no effect on FIH-1 responses. In addition, mice that were exposed to C. difficile toxin in vivo also demonstrated a significant increase in HIF-1α protein and nitrosylation levels. CONCLUSION: Taken together, these data suggest that important synergistic actions exist between nitric oxide and ROS to stabilize HIF-1α and its innate, protective actions in the context of C. difficile toxin-mediated epithelial injury.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".