Interleukin-1 receptor phosphorylation activates Rho kinase to disrupt human gastric tight junctional claudin-4 during<i>Helicobacter pylori</i>infection
Why this work is in the frame
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Bibliographic record
Abstract
Helicobacter pylori infects more than half of the human population worldwide. In the absence of treatment, this persistent infection leads to asymptomatic gastritis, which in some cases can progress into gastric ulcers and adenocarcinomas. The host-microbial interactions that govern the clinical outcome of infection remain incompletely understood. H. pylori is known to disrupt gastric epithelial tight junctions, which may represent a significant component of disease pathogenesis. The present study demonstrates that H. pylori disrupt epithelial tight junctional claudin-4 in a Rho kinase (ROCK)-dependent manner in human gastric epithelial (HGE-20) cell monolayers, independently of the virulence factors CagA and VacA, and without altering claudin-4 transcription. In the same epithelial cell model, interleukin (IL)-1beta, mediated a similar ROCK-dependent pattern of tight junction disruption. Further experiments revealed that H. pylori infection induced IL-1 receptor type I (IL-1RI) phosphorylation, independently of epithelial secretion of its endogenous ligands IL-1alpha, IL-1beta or IL-18. Finally, inhibition of IL-1RI activation prevented H. pylori-induced ROCK activation and claudin-4 disruption. Taken together, these findings identify a novel pathophysiological mechanism by which H. pylori disrupts gastric epithelial barrier structure via IL-1RI-dependent activation of ROCK, which in turn mediates tight junctional claudin-4 disruption.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it