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Record W2911242186 · doi:10.1093/ecco-jcc/jjy222.206

P082 Xenobiotic nuclear receptors: linking bile acid signalling to alterations in CYP3A4 metabolism in Crohn's disease

2019· article· en· W2911242186 on OpenAlexaff
Aze Wilson, Ahmed A. Almousa, Rhiannon V. Rose, Wendy A. Teft, R Kim

Bibliographic record

VenueJournal of Crohn s and Colitis · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern University
Fundersnot available
KeywordsPregnane X receptorCYP3A4Farnesoid X receptorChemistryBile acidReceptorPopulationConstitutive androstane receptorNuclear receptorTransactivationPharmacologyInternal medicineIn vivoDrug metabolismEndocrinologyMetabolismCytochrome P450BiochemistryBiologyMedicineGene expression

Abstract

fetched live from OpenAlex

The Cytochrome P450 (CYP) 3A4 is the cornerstone of drug metabolism in humans. The impact of disease on CYP3A4 activity is still incompletely defined. Given the importance of CYP3A4 to the disposition of many clinically-important substrates, including new classes of orally-administered, small-molecule immunomodulators for inflammatory bowel disease and its high concentration in the intestine, understanding the effect of Crohn's disease (CD) on CYP3A4 activity is highly relevant. We aimed to assess the impact of CD on CYP3A4 activity using the endogenous in vivo probe 4β-hydroxycholesterol (4BOHC) and to propose a molecular mechanism for any detectable differences from non-CD controls. Our study was conducted in two parts: in a cross-sectional study of individuals with (n = 74) and without (n = 71) CD, plasma 4BOHC concentrations as well as a plasma bile acid profile of 12 bile acids were determined using liquid chromatography-mass spectrometry. In vitro modelling, employing luciferase transactivation assays, was used to evaluate the effect of differential bile acid profiles (control, inactive and active CD) on the activation of CYP3A4 via nuclear receptors, pregnane X receptor (PXR) and farnesoid X receptor (FXR) in HepG2 cells. The plasma 4BOHC concentrations were higher in the control population vs. the CD population (CD= 18.68 ng/ml ± 13.02 ng/ml, non-CD= 46.38 ng/ml ± 40.70 ng/ml, p ≤ 0.0001). The ratio of plasma bile acids was different between subjects with and without CD and further varied by disease activity. To explore the impact of CD-specific plasma bile acid profiles on PXR and FXR activation, two models were created. In HepG2 cells transfected with hPXR and CYP3A4-pGL3 plasmids (model 1), no difference was seen in the luciferase activity amongst the cells exposed to the cohort-specific bile acid profiles at 25 μM or 50 μM. At 75 μM, bile acid-activated CYP3A4-reporter activities were significantly decreased in the CD cohorts compared with the control cohort, though no difference was seen based on disease activity. To evaluate the effect of CD-specific bile acid signalling on FXR (another CYP3A4 regulator), HepG2 cells were transfected with hFXR and BSEP-pGL3 plasmids (model 2) and exposed to cohort-specific bile acid profiles. At 25 μM and 50 μM, reduced FXR-mediated activation of BSEP was seen with the active CD bile acid profile compared with the control profile. At 75 μM, bile acid-activated BSEP-reporter activity was significantly decreased in the disease state and further so in active disease. Our data show that CYP3A4 activity is decreased in CD and that disease-dependent changes in nuclear receptor-signalling may contribute to CD-dependent variation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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)0.0020.000

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 head0.226
Teacher spread0.220 · 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
Published2019
Admission routes1
Has abstractyes

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