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Record W4394611926 · doi:10.1152/ajpgi.00306.2023

Oral tryptophan activates duodenal aryl hydrocarbon receptor in healthy subjects: a crossover randomized controlled trial

2024· article· en· W4394611926 on OpenAlexafffund
Gaston Rueda, Natalia Causada Calo, Rajka Borojevic, Andrea Nardelli, María Inés Pinto-Sánchez, Marco Constante, Josie Libertucci, Vidhyalakshmi Mohan, Philippe Langella, Linda M. P. Loonen, Jerry M. Wells, Stephen M. Collins, Harry Sokol, Elena F. Verdú, Přemysl Berčík

Bibliographic record

VenueAmerican Journal of Physiology-Gastrointestinal and Liver Physiology · 2024
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
FundersInstitut National de la Santé et de la Recherche MédicaleCanadian Institutes of Health ResearchJoint Programming Initiative A healthy diet for a healthy lifeClinical Trials Fund, Canadian Institutes of Health Research
KeywordsAryl hydrocarbon receptorTryptophanKynurenineCrossover studyKynurenine pathwayPlaceboInternal medicineMetaboliteEndocrinologyPharmacologySerotoninChemistryBiologyMedicineReceptorBiochemistryAmino acidPathology

Abstract

fetched live from OpenAlex

We demonstrate that in healthy subjects, orally administered tryptophan activates microbial indole and host kynurenine pathways in the small intestine, the primary metabolic site for dietary components, and the richest source of immune cells along the gut. This study provides novel insights in how to optimally activate immunomodulatory AhR pathways and indole metabolism in the small intestine, serving as basis for future therapeutic trials using l-tryptophan supplementation in chronic inflammatory conditions affecting the small intestine.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.012
GPT teacher head0.262
Teacher spread0.250 · 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 designRandomized trial
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

Citations23
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal of Physiology-Gastrointestinal and Liver PhysiologySame topicTryptophan and brain disordersFrench-language works237,207