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Protease Activated Receptor‐2 Mediates <i>Giardia</i> ‐Induced Disruptions of the Intestinal Mucus Barrier

2018· article· en· W3175228128 on OpenAlexafffundabout
Elena Fekete, Christina Amat, Thibault Allain, Morley D. Hollenberg, Kris Chadee, André G. Buret

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMucusProteasesMucinMucin 2Protease-activated receptor 2BiologyProteaseReceptorGiardiaMolecular biologyMicrobiologyBiochemistryGene expressionGeneEnzyme

Abstract

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Background Giardia duodenalis has been associated with disruptions of the mucus layers of the small and large intestines, in part via Giardia's cysteine proteases. Disruption of the intestinal mucus barrier has been implicated in a variety of intestinal disorders, but mechanisms currently remain unclear. Hypothesis Goblet cell function and mucus disruptions are modulated by activation of protease activated receptor 2 (PAR2), which is highly expressed through the gastrointestinal tract and is known to regulate mucus production in the airway and stomach. Giardia's cysteine proteases cleave and activate PAR2 on intestinal goblet cells. Methods MUC2 mucin and PAR gene expression were assessed in the human colonic epithelial cell line LS174T using quantitative PCR (qPCR). LS174T were pre‐treated with the PAR2 antagonist p2Pal‐218S pepducin, and incubated with Giardia trophozoites or the PAR1 and PAR2 agonist peptides TFLLRN and 2fLIGRLO, respectively. Ability of Giardia to cleave PAR1 and PAR2 at the N‐terminal domain was determined using CHO cells transformed with N‐luciferase tagged PAR1 or PAR2. Following incubation with Giardia , culture supernatant was collected, reacted with luciferin, and luminescence was measured. Wild‐type and PAR2 deficient mice were infected with Giardia trophozoites. Thickness of the mucus layer was measured by fluorescently staining mucus with fluorescein‐coupled WGA, and expression of Muc2 and Muc5ac genes were determined in the colon and jejunum via qPCR. Results LS174T cells express functional and responsive PAR2, but little or no PAR1. Treatment of cells with 2fLIGRLO PAR2 agonist, but not TFLLRN PAR1 agonist, increased MUC2 gene expression. Incubation of cells with Giardia trophozoites increased MUC2 mRNA production, and this increase was abolished by pre‐treatment of cells with a PAR2 antagonist. Giardia also caused decreased PAR2 expression in LS174T. Giardia NF and Giardia GSM are both able to cleave PAR1 and PAR2 at the N terminal domain. Cleavage by NF was more efficient than GSM , and PAR1 was cleaved more extensively than PAR2 by both strains. Giardia infection increased Muc2 and Muc5ac expression in the colon and increased Muc5ac expression in the jejunum of wild‐type mice compared to uninfected controls. In PAR2−/− mice, Giardia infection reduced expression of Muc5ac in the jejunum, and had no impact on either gene in the colon. Giardia infection caused thinning of the mucus layer in wild‐type mice. In contrast, infection induced thickening of the mucus layer in PAR2−/− mice. Conclusions Using a model of Giardia infection, the findings demonstrate that PAR2 plays a significant role in mucin gene regulation and function in mice and in a human colonic goblet cell line, and that Giardia is capable of cleaving both PAR1 and PAR2 receptors with strain‐specific efficiencies. Support or Funding Information Crohn's Colitis Canada (CCC), NSERC This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.261
Teacher spread0.246 · 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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Citations1
Published2018
Admission routes3
Has abstractyes

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