µ‐Calpain promotes epithelial cell survival and adherens junction disruption during <i>Helicobacter pylori</i> infection
Bibliographic record
Abstract
H.pylori (Hp) is a risk factor for gastritis, gastric ulcers, and adenocarcinoma. The ability of Hp to disrupt intercellular adhesion and alter cell survival may influence the clinical outcome of infection. Calpain family proteases cleave the adherens junction (AJ) components E‐cadherin and β‐catenin, and modulate pathways regulating cell survival and apoptosis. AIMS 1) to assess the effects of Hp on calpains 2) to assess the effects of calpains on Hp‐induced AJ defects and cell survival. RESULTS Epithelial (MKN45 and SCBN) monolayers were challenged for 24h with Hp strain SS1 or the human isolate 60190 in the presence or absence of calpain inhibitor PD150606. Immunoblotting revealed that Hp‐challenged monolayers displayed elevated levels of active µ‐calpain and the cleaved form of the calpain substrate α‐spectrin. Immunoblotting and immunostaining revealed calpain‐dependent, Hp‐induced E‐cadherin redistribution and cleavage of the 120kDa full‐length E‐cadherin to a functionally‐impaired 100kDa form. Also, Hp induced membrane‐to‐nucleus translocation of β‐catenin in a calpain dependent fashion. Finally, calpain inhibition enhanced Hp‐induced apoptosis, PARP cleavage, and caspase‐3 activation. CONCLUSION Hp‐induced activation of µ‐calpain mediates processes associated with tumorigenesis including AJ disruption and promotion of abnormal cell survival. 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) | 0.001 | 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".