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Record W4391873696 · doi:10.1093/jcag/gwad061.062

A62 EXAMINING THE ACTIVATION OF XENOBIOTIC RECEPTORS PXR AND AHR IN COLONOIDS USING MICROBIAL METABOLITES AND CHEMICAL LIGANDS

2024· article· en· W4391873696 on OpenAlex
Eva I Shenoda, Simon A. Hirota

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsPregnane X receptorXenobioticAryl hydrocarbon receptorChemistryReceptorEnvironmental chemistryBiochemistryNuclear receptorTranscription factorGene

Abstract

fetched live from OpenAlex

Abstract Background The Aryl hydrocarbon receptor (AhR) and pregnane X receptor (PXR) are vital xenobiotic receptors activated by foreign substances, playing pivotal roles in regulating chemical metabolism. Traditionally, these receptors have been closely linked to their roles in mediating responses to toxic compounds. However, recent findings have revealed their newfound significance in maintaining gut homeostasis and regulating inflammatory processes. Aims We investigated the dual roles of AhR and PXR activation. We started with dosage response experiments to determine optimal treatment conditions, such as treatment concentration and exposure time. Subsequently, we compared transcriptomic responses induced by chemical ligands with those from microbial metabolites, aiming to understand how AhR and PXR activation can yield both adverse and beneficial effects. Methods Using mouse 3D colonoids and 2D monolayer cultures, PXR and AhR were activated using the microbial metabolites indole-3-propionic acid (IPA) and indole-3-pyruvic acid (IPyA), respectively. Concentrations were determined through dosage response experiments. Changes to PXR and AhR target gene expression were measured using qPCR. We compared the gene induction by IPA and IPyA to responses driven by the chemical ligands pregnenolone 16α-carbonitrile (PCN) and 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), respectively. Results In 3D cell culture, PCN induced PXR target genes Cyp2c55 and Abcb1a, while IPA had no significant effect. Cyp3a11 was absent. Both IPyA and TCDD induced AhR genes, Cyp1a1 and Cyp1b1, with varying induction, and Cyp1a2 showed no response. In 2D cell culture, PCN significantly increased Cyp2c55 gene expression, but neither PCN nor IPA significantly induced Abcb1a. In 3D culture, TCDD significantly induced Cyp1a1 and Cyp1b1, while IPyA only induced Cyp1a1, revealing differences in AhR gene induction between 2D and 3D cell culture models. Conclusions Our research reveals contrasting gene induction patterns following AhR and PXR activation through microbial metabolites and chemical ligands. These varied responses highlight the multifaceted roles these receptors play within the gut environment. This study enhances our understanding of xenobiotic receptors' contributions to maintaining gut homeostasis and regulating inflammatory processes, shedding light on the interplay between ligands and receptors. Methods First, we isolate the crypts of mice to create 3D organoids, were we have access to the basolateral side. To capture the true biological system, we convert the 3D culture to 2D. This enables us to explore both the apical and basolateral sides, retaining the crucial polarity of the cells. Funding Agencies CIHR

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.238

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 integrity0.0000.001
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 head0.026
GPT teacher head0.297
Teacher spread0.271 · 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