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Record W2920989146 · doi:10.1093/jcag/gwz006.015

A16 SENSING OF A MICROBIAL METABOLITE BY FIBROBLASTS THROUGH THE PREGNANE X RECEPTOR RESTRAINS INFLAMMATION AND FIBROSIS IN MICE

2019· article· en· W2920989146 on OpenAlexaffabout
Kyle L. Flannigan, Kimberly Nieves, Laurie Alston, Sridhar Mani, Simon A. Hirota

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDigestive system and related health
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPregnane X receptorInflammationFibrosisMetaboliteSirius RedBiologyReceptorPharmacologyImmunologyEndocrinologyNuclear receptorInternal medicineMedicineBiochemistry

Abstract

fetched live from OpenAlex

Fibrosis is a serious and irreversible complication of Crohn’s disease (CD) that can lead to intestinal obstruction and has no effective treatment beyond surgical resection. The pathogenesis of fibrosis is incompletely understood however, it is thought to involve an aberrant repair response following inflammation-associated tissue damage. The pregnane X receptor (PXR), a xenobiotic receptor, is recognized for its role in suppressing inflammation and has been show to influence fibrogenesis in the liver. In the intestine, PXR-signaling is influenced by the tryptophan metabolite indole-3-propionic acid (IPA), which can affect intestinal inflammation, in turn influencing fibrogenesis. How microbial metabolite sensing through the PXR influences intestinal fibrotic responses has not been explored. To understand the impact PXR-signaling has on intestinal fibrosis and determine whether it can be modulated by IPA. Intestinal inflammation was induced using DSS (3.5%) for 5 days followed by healing for 25 days. Fibrosis in the colon was assessed using Masson’s trichrome and Sirius Red histological stains in wild type (WT), PXR-/-, epithelial-specific PXR-/- and fibroblast-specific PXR-/- mice. Immune cell influx was measured by flow cytometry and cytokine concentrations by Luminex. Fibroblasts isolated from WT and PXR-/- mice were stimulated with cytomix (TNF-α, IL-1β, and IFN-γ) or LPS in the presence or absence of IPA for 24 hours and assessed for gene expression. To examine the role of microbial metabolites in fibrosis, the microbiota was depleted using a cocktail of broad-spectrum antibiotics and some mice treated with IPA. Following recovery from DSS, WT mice showed clear evidence of colonic fibrosis, a response that was exacerbated in PXR-/- mice and correlated with greater neutrophil infiltration and levels of innate cytokines (e.g. CXCL2, GMCSF, GCSF,) in the colon. This phenotype was not observed when PXR deficiency was limited to the epithelial cells, but was reproducible in mice with fibroblast-specific PXR-deficiency. Mechanistically, PXR-/- fibroblasts were hyper-responsive to proinflammatory cytokines and LPS, producing increased levels of CXCL2, GM-CSF and G-CSF compared to WT cells. Importantly, the microbial metabolite IPA was able to block the expression of these cytokines. Depletion of the microbiota completely suppressed systemic levels of IPA and exacerbated intestinal fibrosis, an effect that was reversed by IPA treatment. PXR signaling in intestinal fibroblasts restrains their inflammatory responses, reducing fibrogenesis. Luminal sensing of the bacterial derived indole, IPA, via PXR may be involved in this process, highlighting a microbial metabolite-sensing pathway in fibroblasts that could be targeted to prevent intestinal fibrosis observed in CD. CAG, CCC, CIHRAbbvie/CAG/CIHR, Alberta Innovates, Canadian Foundation for Innovation, US Department of Defense

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)0.001
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 score0.588
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.004
GPT teacher head0.203
Teacher spread0.200 · 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

Citations3
Published2019
Admission routes2
Has abstractyes

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