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Record W2922516295 · doi:10.1093/jcag/gwz006.010

A11 THE INFLAMMATORY CASPASES COORDINATE MUCOSAL RESTRICTION OF SALMONELLA THROUGH THE EPITHELIAL-INTRINSIC INFLAMMASOME

2019· article· en· W2922516295 on OpenAlexaff
Shauna M. Crowley, Joannie M. Allaire, Xiaohu Han, Franziska A. Graef, Martin Ståhl, Leigh A. Knodler, Isabella Rauch, Bruce A. Vallance

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsBC Children's HospitalUniversity of British Columbia HospitalUniversity of British Columbia
Fundersnot available
KeywordsInflammasomeSalmonella entericaInnate immune systemMicrobiologyCaspaseCaspase 1PathogenSalmonellaInflammationBiologyCell biologyChemistryImmunologyImmune systemApoptosisProgrammed cell deathBiochemistryBacteria

Abstract

fetched live from OpenAlex

Intestinal epithelial cells (IECs) are located at the interface between the gut lumen and the underlying mucosal defense system. Here, they play a central role in the coordination of intestinal homeostasis, tempering pro-inflammatory responses but remaining rapidly responsive to noxious stimuli such as an enteric pathogen. One mechanism by which IECs engage in innate immune defense is through the activation of the inflammasome which mobilizes the inflammatory caspases; Caspase-1 and -11. Here, we investigate the role of the inflammasome in IEC and overall mucosal defense against the enteric pathogen Salmonella enterica serovar Typhimurium SL1344. Streptomycin-pretreated wildtype C57BL/6, Casp1/11 deficient (−/−), Casp1−/− and Casp11−/− mice were orally infected and S. Typhimurium burdens determined in intestinal tissues at 18h post infection. Increased cecal and luminal pathogen loads were observed for all caspase-deficient mice compared to wild type, which correlated with increased IEC intracellular S. Typhimurium burdens. Interestingly, despite increased bacterial loads, cecal pathology scores for all deficient mice were decreased, especially with regard to ‘IEC damage’ and ‘goblet cell loss’. To determine if the increased burdens were due to the loss of IEC-intrinsic inflammasomes, enteroid monolayers were derived and infected. This revealed significantly increased intracellular burdens in caspase deficient monolayers as compared to wild type, in concert with a marked decrease in IEC sloughing. Peak inflammatory caspase activity was displayed in sloughing wildtype IECs, suggesting IEC-intrinsic inflammasome restricts S. Typhimurium infection through infected IEC expulsion. To examine the role of inflammasome signaling on mucosal defense, mucin layer thicknesses were evaluated by Muc2 immunostaining. After infection, wild type tissue demonstrated a dramatic increase in mucus thickness while caspase deficient mice displayed only a marginal increase. Similarly, expression of the antimicrobial lectins Reg3γ and β was dramatically increased in infected wildtype mice compared to caspase deficient mice. Since mucin release and Reg3 induction have been previously linked to the cytokine IL-22, and IL-22 expression was increased in infected wildtype mice, we tested the effects of neutralizing IL-22. This revealed increased S. Typhimurium burdens and decreased infection-induced mucin secretion, while no differences were observed in Casp1/11−/− treated with either neutralizing antibody or isotype control. These results thus indicate that the intestinal epithelium utilizes inflammasome signaling to coordinate multiple layers of innate defense at the gut mucosal surface to ultimately restrict enteric pathogen infections and systemic spread. CCC, CIHRNIH

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.004
GPT teacher head0.194
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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