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Record W2921107612 · doi:10.1093/jcag/gwz006.048

A49 LACTOBACILLI DEGRADE WHEAT AMYLASE TRYPSIN INHIBITORS (ATI) TO AMELIORATE GUT DYSFUNCTION INDUCED BY IMMUNOGENIC WHEAT PROTEINS

2019· article· en· W2921107612 on OpenAlexaff
A Caminero Fernandez, Justin L. McCarville, Victor F. Zevallos, Marc Pigrau, Y Xuechen, Jennifer Jury, Heather J. Galipeau, Javier Casqueiro, Joseph A. Murray, Stephen M. Collins, Armin Alaedini, Přemysl Berčík, Detlef Schuppan, Elena F. Verdú

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsPopulation Health Research InstituteMcMaster University
Fundersnot available
KeywordsGlutenBiologyImmune systemImmunologyNodMicrobiologyIn vivoBiochemistryBiotechnology

Abstract

fetched live from OpenAlex

Wheat-related disorders involve a wide spectrum of conditions, triggered by the ingestion of gluten-containing cereals. The induction of gluten-specific immune responses in celiac disease is well established. However, the contribution of gluten and/or non-gluten proteins in the generation of symptoms in other wheat-related disorders is controversial. Amylase trypsin inhibitors (ATIs) are pest-resistant molecules in modern wheat with TLR4-activating capacities. We investigated the role of ATIs in the generation of gut barrier dysfunction and dysmotility in wild-type mice as well as in the severity of gluten-induced immunopathology in genetically predisposed mice. We also determined the metabolic capacity of core microbial groups to degrade ATIs, and examined how this impacts ATIs or gluten-induced gut dysfunction. To determine if ATIs could induce gut dysfunction in non-genetically susceptible mice, C57BL/6 or Myd88-/- mice were placed on a wheat free diet (WFD) or ATI diet for 1 week. To study the adjuvant effect of ATIs, NOD/DQ8 mice sensitized with cholera toxin and gliadin received a diet containing: 1) ATIs with no gluten (ATIs), 2) gluten depleted of ATIs (G-ATIs), or 3) depleted gluten supplemented with ATIs (G+ATIs), for 2 weeks. Non-sensitized NOD/DQ8 (controls) received a WFD for 2 weeks. To study the metabolic capacity of microbes to degrade ATIs in vivo, Lactobacillus strains isolated from the human intestine and with different hydrolytic capacity against ATI were pooled and supplemented to mice by oral gavage daily during dietary intervention. CD3+ intraepithelial lymphocytes (IELs) were measured by immunohistochemistry, intestinal permeability by Ussing chambers, gene expression by Nanostring Technology and 16S rRNA profiling of cecal microbial content via Illumina MiSeq. We show that ATIs not only induce innate immune responses through the TLR4-MD2-CD14 pathway, but also barrier dysfunction in C57BL/6 mice in the absence of overt mucosal damage. When combined with gluten in mice with a permissive celiac genetic background (NOD-DQ8 transgenic), ATI exacerbate gluten-induced immunopathology increasing intestinal permeability, IEL proliferation and upregulation of pro-inflammatory genes. We also demonstrate that ATIs can be degraded by certain commensal bacteria such as Lactobacillus, thereby reducing their immune-stimulatory capacity in mouse models. ATIs may play a role in wheat-related disorders. Microbiome-modulating strategies based on the use of strains with specific ATIs-degrading capacity may be effective in patients with wheat-sensitive disorders. CAG, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.907

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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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
Published2019
Admission routes1
Has abstractyes

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