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Record W3174161017 · doi:10.1096/fasebj.20.4.a201-a

Citrobacter rodentium increases intestinal permeability and disrupts epithelial tight junctions in vivo and in vitro: the role of Rho kinase

2006· article· en· W3174161017 on OpenAlexaff
Andrew N. Flynn, Nathalie Vergnolle, Keith A. Sharkey, André G. Buret

Bibliographic record

VenueThe FASEB Journal · 2006
Typearticle
Languageen
FieldNeuroscience
TopicBarrier Structure and Function Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCitrobacter rodentiumTight junctionIn vivoClaudinIntestinal epitheliumIntestinal mucosaCell biologyApoptosisIn vitroBiologyParacellular transportChemistryPermeability (electromagnetism)EpitheliumImmunologyBiochemistryMedicineInternal medicineColitis

Abstract

fetched live from OpenAlex

The aim of this study was to identify mechanisms of Citrobacter rodentium ‐induced epithelial permeability defects. RESULTS C. rodentium increased intestinal permeability to 51 Cr‐labeled EDTA and disrupted tight junctional ZO‐1, claudin‐4, and claudin‐5 in vivo. C. rodentium induced apoptotic nucleosome formation and PARP cleavage in CMT‐93 colorectal epithelial cells. Infected monolayers also displayed increased paracellular permeability to a FITC‐dextran probe. This effect was dependent on Rho kinase, but did not require caspase‐3 activity. Immunocytochemistry and Western blotting confirmed the caspase‐3‐independent disruption of ZO‐1, claudin‐4, and claudin‐5 by C. rodentium in vitro . CONCLUSIONS C. rodentium increases intestinal epithelial permeability in vivo and in vitro . This effect is associated with disruptions of ZO‐1, claudin‐4, and claudin‐5. Rho kinase plays a role in C. rodentium ‐induced increases in epithelial permeability. Although C. rodentium induces intestinal epithelial cell apoptosis, its effects on permeability are not dependent on caspase‐3. We postulate that loss of epithelial barrier function is implicated in the pathogenesis of EPEC‐induced intestinal disease.

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 score0.378
Threshold uncertainty score0.256

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.222
Teacher spread0.212 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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