Rho kinase mediates Helicobacter pylori ‐induced tight junctional claudin‐4 disruption in human gastric epithelial cells
Bibliographic record
Abstract
Gastric epithelial barrier function is primarily maintained by tight junctions (TJ). Small Rho GTPases and Rho kinase (ROCK) are involved in TJ regulation. The ability of H. pylori (Hp) to subvert normal cellular pathways regulating TJ permeability may contribute to the development of gastric ulcers and adenocarcinomas. The mechanisms involved in Hp‐mediated junctional disruptions remain unclear. AIM The aim of this study was to assess the role of ROCK in Hp‐induced TJ disruption, using a human gastric epithelial (HGE‐20) cell line. RESULTS Immunostaining/Western blotting and activity assays showed cytosolic translocation of claudin‐4 and a 50% increase in ROCK activity in infected monolayers. ROCK inhibition reduced loss of claudin‐4 from the membrane. Treatment of HGE‐20 with conditioned media failed to induce the Hp‐mediated increase in ROCK activity. Caspase‐3 and Rho GTPases Rac‐1 and RhoA activity was significantly increased post infection, consistent with their involvement in the signaling events leading to ROCK activation and claudin‐4 redistribution. CONCLUSION These findings demonstrate that Hp activates ROCK and its upstream effectors caspase‐3 and Rho GTPases. The mechanism by which Hp disrupts gastric epithelial barrier structure involves ROCK‐dependent redistribution of claudin‐4, independently of epithelial or bacterial secreted factors. This work was funded by 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) | 0.002 | 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 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".