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Record W4323353329 · doi:10.1093/jcag/gwac036.171

A171 INTESTINAL INTERFERON-LAMBDA RECEPTOR 1 EXPRESSION AND RESPONSES ARE SIGNIFICANTLY DECREASED IN PEDIATRIC INFLAMMATORY BOWEL DISEASE PATIENTS

2023· article· en· W4323353329 on OpenAlexaffabout
Olamide Ogungbola, Ramsha Mahmood, Kevin J. Bittorf, N. Nguyen, Eytan Wine, D. Lorne Tyrrell, Heather Armstrong, Deanna M. Santer

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of AlbertaUniversity of Manitoba
Fundersnot available
KeywordsInflammatory bowel diseaseImmunologyUlcerative colitisImmune systemInterferonInflammationAntibodyMedicineBiopsyBiologyPathologyDisease

Abstract

fetched live from OpenAlex

Abstract Background While interferon-lambdas (IFN-λs) were initially discovered for their role in antiviral immunity at mucosal barriers such as the lung and gut, there are many unanswered questions for how IFN-λs uniquely dampen inflammatory immune responses. In mouse colitis models, IFN-λs were shown to play a significant role in promoting epithelial barrier integrity and mucosal healing. Microbes present in the gut naturally induce IFN-λs, but how chronic inflammation, such as in patients with inflammatory bowel diseases (IBD), affects IFN-λ biology has not been well studied, especially in humans. Purpose Here, we tested the hypothesis that children with active, more severe IBD would present with lower intestinal IFN-λR levels and IFN-λ responses which could contribute to IBD pathology through exacerbated inflammation, decreased mucosal healing and impaired barrier function. Method We screened 14 novel antibodies to find the optimal clone that accurately stains the unique IFN-λ receptor subunit (IFN-λR1) protein in human intestinal tissue and IFN-λR1 levels were quantified by immunohistochemistry and flow cytometry in biopsy samples from children without IBD, Crohn’s disease, or ulcerative colitis (n=35 total). Fresh patient biopsies (ascending colon or terminal ileum) were also treated in media +/- IFN-λ for 24hrs using our novel ex vivo biopsy assay and changes in gene expression were quantified by RT-qPCR. Intestinal washes were also collected and microbes profiled by shotgun metagenomics. Result(s) We identified 2 new antibodies that accurately stained human cell lines and immune cells known to express IFN-λR1 protein (gut epithelial cells and B cells). We found that IFN-λ receptor (IFN-λR) levels are significantly reduced in gut epithelial and immune cells within pediatric IBD intestinal tissue, even at non-inflamed sites (p<0.01, 30-50% reduction) and this was even more pronounced when comparing moderate/severe disease compared to children with no disease activity. This led to lower IFN-λ responsiveness in IBD compared to non-IBD biopsies when investigating IFN-stimulated gene expression (p<0.05, up to 7-fold reduction). Paired patient gut microbe analyses identified specific species that correlated with changes in IFN-λ receptor expression. Conclusion(s) Together, our findings demonstrate pediatric IBD patients may be less able to induce critical IFN-λ-mediated antimicrobial responses and protective anti-inflammatory pathways. This work supports the goal to restore and promote IFN-λ responses as a novel therapeutic strategy for pediatric IBD. Please acknowledge all funding agencies by checking the applicable boxes below Other Please indicate your source of funding; Children's Hospital Research Institute of Manitoba Disclosure of Interest None Declared

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.208
Teacher spread0.202 · 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 designObservational
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
Published2023
Admission routes2
Has abstractyes

Explore more

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