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Record W4323351068 · doi:10.1093/jcag/gwac036.022

A22 USING INTESTINAL ORGANOIDS TO CHARACTERIZE THE NAIP-NLRC4 INFLAMMASOME RESPONSE IN THE INTESTINAL EPITHELIUM

2023· article· en· W4323351068 on OpenAlexaff
Adrienne Ranger, Stephen E. Girardin

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInflammasomeNLRC4FlagellinBiologyTLR5Innate immune systemMicrobiologyCaspase 1InflammationImmune systemImmunologyTLR2Biochemistry

Abstract

fetched live from OpenAlex

Abstract Background The NAIP-NLRC4 inflammasome is an important innate defence mechanism in intestinal epithelial cells (IECs) that protects the gut from invasive pathogens. NAIP-NLRC4 activation triggers pyroptotic cell death, releases active interleukin (IL)-18, and promotes the expulsion of infected enterocytes. Dysregulated inflammasomes result in exaggerated inflammation of the intestinal mucosa which is characterisitic of inflammatory bowel disease (IBD). There is increasing evidence that inflammasomes in IEC behave differently than in immune cells. However, a majority of inflammasome pathway characterization is studied immune cells. In addition, NAIP-NLRC4 activity in macrophages has been shown to be important for regulating the expression of nitric oxide (Nos2). The potential transcriptomic impact of NAIP-NLRC4 activity in IECs has yet to be explored. Purpose We will use intestinal orgnaoids to systematically characterize the NAIP-NLRC4 inflammasome pathway and identify the transcriptomic impact of NAIP-NLRC4 activity in IECs. To better define the role of NAIP-NLRC4 activity during a physiological infection, we have developed a novel ex vivo model of Shigella infection in 3D organoids. Method Organoids were derived from the ileal crypts of wild type (WT) and Nlrc4-/-, Casp1-/-, Pycard-/-, or Tlr5-/- mice and stimulated with Pam3CSk4, LPS, or flagellin. Inflammasome activation was assessed by Western blot (WB) and propidium iodide uptake. WT and Nlrc4-/- organoids were infected with WT or a non-invasive Shigella mutant and the inflammasome response was evaluated by WB and a colony forming unit assay. WT and Nlrc4-/- organoids were stimulated with flagellin and gene expression was assessed by RT-qPCR. Result(s) Basolateral organoid stimulation with bacterial ligands revealed a novel response of IECs to bacterial flagellin that results in pyroptosis and IL-18 processing. Basolateral internalization of flagellin occurred in a TLR5-independent manner. Inflammasome activation by flagellin was fully abrogated in Nlrc4-/- and Casp1-/- organoids while only IL-18 processing was affected in Pycard-/- organoids. Infection with only WT Shigella induced inflammasome activation in an NLRC4-dependent manner. Interestingly, flagellin stimulation of WT but not Nlrc4-/- organoids led to increased expression of Nos2. Furthermore, Nlrc4-/- organoids had significantly lower expression levels of cytokine genes Ccl20, Cxcl1, and Tnf following inflammasome activation. Conclusion(s) Our study demonstrates an integral role for epithelial NAIP-NLRC4 inflammasomes in the response to bacterial flagellin and Shigella infection. We have uncovered a novel response of IECs to basolateral flagellin stimulation and revealed that NAIP-NLRC4 is important for the transcriptional regulation of inflammatory genes. Further work will examine how NAIP-NLRC4 activation controls inflammation and epithelial integrity by analyzing the NLRC4-dependent transcriptome and the effects on cell proliferation, differentiation, and barrier integrity. Please acknowledge all funding agencies by checking the applicable boxes below CCC, CIHR 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.024
GPT teacher head0.275
Teacher spread0.251 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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