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Record W2791743672 · doi:10.1093/jcag/gwy008.120

A119 THE MICROBIAL METABOLITE SENSOR PREGNANE X RECEPTOR (PXR) RESTRAINS FIBROBLASTS FROM PROMOTING INTESTINAL INFLAMMATION AND FIBROSIS IN MICE

2018· article· en· W2791743672 on OpenAlexaffabout
Kyle L. Flannigan, Laurie Alston, Sridhar Mani, Simon A. Hirota

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDigestive system and related health
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPregnane X receptorMetaboliteFibrosisPharmacologyBiologyInflammationInternal medicineMicrobiologyChemistryEndocrinologyImmunologyMedicineNuclear receptorBiochemistry

Abstract

fetched live from OpenAlex

Fibrosis contributes to intestinal stricture and obstruction in 30–50% of Crohn’s disease patients. The pathogenesis of fibrosis is incompletely understood and has virtually no effective treatments. The pregnane X receptor (PXR), a xenobiotic receptor involved in detoxification responses, has been identified as a modulator of fibrosis in hepatic stellate cells. Of the number of foreign ligands for the PXR, the tryptophan metabolite indole-3-propionic acid (IPA) produced by the intestinal commensal Clostridium sporogenes can bind to the PXR to mediate signalling events that protect intestinal barrier function. The role of the PXR in intestinal fibrosis and if microbial metabolite sensing can affect intestinal fibrotic responses is unknown. To examine the role of the PXR and its ability to sense microbial metabolites in the modulation of intestinal fibrosis. Intestinal inflammation was induced using DSS (3.5%) for 5 days followed by healing for 25 days. Fibrosis was assessed using Masson’s trichrome and Sirius Red staining of colonic sections. Mouse primary colonic fibroblasts were grown from wild type (WT) and PXR-/- mice and stimulated with cytomix (TNFα, IL1β, and IFNγ) for 24 hours to assess cytokine production by Luminex. Fibroblasts were also stimulated with cytomix in the presence of the PXR agonists PCN or IPA and assessed for gene expression via qPCR. NFkB activity was assessed by Western blot for phos-p65. To examine the microbiota’s role in fibrosis, after the 5-day course of DSS the microbiota was depleted for 25 days with an antibiotic cocktail (vancomycin, neomycin, metronidazole, ampicillin). C. sporogenes DNA was detected in feces using qPCR. Following a 25-day recovery after DSS, WT mice demonstrated clear intestinal fibrosis. When compared to WT mice, PXR-/- mice demonstrated significantly greater levels of fibrosis. Mouse primary fibroblasts were found to express the PXR. Following stimulation with cytomix, PXR-/- fibroblasts produced dramatically higher levels of inflammatory cytokines including eotaxin, CXCL2, G-CSF, GM-CSF, IL-9, and IL-15. Importantly, PCN and the microbial metabolite IPA suppressed the expression of these cytokines. These effects in PXR-/- fibroblasts may be linked to the increased activity of NFkB that was observed both basally and after stimulation with cytomix compared to WT fibroblasts. Depletion of the microbiota supressed levels of C. sporogenes DNA in feces and exacerbated intestinal fibrosis. PXR signaling in intestinal fibroblast appears to be required to restrain inflammation and fibrosis. Luminal sensing of bacterial derived indoles (i.e. IPA) via PXR may be involved in this process, highlighting a xenobiotic-microbiota axis that could be targeted to prevent the intestinal fibrosis observed in Crohn’s disease. CCCBeverley Phillips Rising Stars Program, The Dr. Lloyd Sutherland Investigator in IBD/GI Research, Canadian Foundation for Innovation, Canada Research Chairs Program, U.S. 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.005
GPT teacher head0.212
Teacher spread0.207 · 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 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

Citations0
Published2018
Admission routes2
Has abstractyes

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