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µ‐Calpain promotes epithelial cell survival and adherens junction disruption during <i>Helicobacter pylori</i> infection

2009· article· en· W2291460131 on OpenAlexafffund
Pamela M. J. O’Connor, Tamia K. Lapointe, André G. Buret

Bibliographic record

VenueThe FASEB Journal · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsCalpainAdherens junctionApoptosisProteasesCell biologyBiologyCadherinCellChemistryMolecular biologyBiochemistry

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.224
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes2
Has abstractyes

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