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Record W4391164503 · doi:10.1093/ecco-jcc/jjad212.0484

P354 Tryptophan metabolites as predictive biomarkers for dietary therapy outcomes in paediatric Crohn's disease

2024· article· en· W4391164503 on OpenAlexaff
Mohammed Ghiboub, N van der Kruk, Rotem Sigall Boneh, Eytan Wine, Charlotte M. Verburgt, Tim G. J. de Meij, Mark Löwenberg, K Gecse, Joep P. M. Derikx, Wouter J. de Jonge, Geert D’Haens, Johan Van Limbergen

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
Fundersnot available
KeywordsCrohn's diseaseMedicineDiseasePredictive valueInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Crohn's disease (CD) exclusion diet combined with partial enteral nutrition (CDED+PEN) and exclusive enteral nutrition (EEN) are effective in inducing remission in mild-to-moderate paediatric CD. While tolerance is higher with CDED+PEN than with EEN, a subset of patients still does not achieve remission. Diet-induced remission at week 6 was associated with changes in tryptophan (Trp) metabolism.1 Our aim was to investigate whether baseline Trp metabolites could predict dietary therapy outcomes in paediatric CD. Methods In total, 26 mild-to-moderate treatment-naive paediatric CD patients from a prior randomized controlled trial 2, were classified as having remission 6 (R, n =19 (CDED+PEN=10 and EEN=9)) and No-Remission (NR, n=7 (CDED+PEN=3 and EEN=4)) following 6 weeks of CDED+PEN or EEN therapy, based on the Paediatric Crohn’s Disease Activity Index (PDCAI) score (≤10 remission, >10 no remission). We performed targeted quantitative analysis of 21 tryptophan metabolites in baseline faecal samples from both groups, utilizing liquid chromatography coupled with quadrupole mass spectrometry. Receiving Operator Characteristic Curve (ROC) and Random Forest Analysis were used to assess the predictive power of Trp metabolites for dietary outcomes. Results Baseline clinical characteristics were comparable between R and NR. Baseline fecal kynurenine was significantly higher in NR compared to R for CDED+PEN (p=0.02) (Fig 1A) and EEN (p=0.04) (Fig 2A). ROC analysis highlighted the robust predictive power of kynurenine for CDED+PEN (area under the curve (AUC)=0.97) (Fig 1B) and EEN (AUC=0.88) (Fig 2B) induced remission. Random Forest analysis corroborated these observations. Ratios of Trp metabolites were compared to investigate different downstream Trp pathways. The ratio serotonin/kynurenine was the strongest predictor of CDED+PEN-induced remission (AUC=1) (Fig 1C). The ratio 5-OH-Tryptophan/kynurenine (AUC=0.88) (Fig 2C) predicted EEN-induced remission. When data from CDED+PEN and EEN were combined, kynurenine (AUC=0.91) and the ratios of quinolinic acid/kynurenine (AUC=0.93) and kynurenine/indole-3-acetic acid (AUC=0.88) demonstrated strong predictive performance for dietary therapy in general (Fig 3A,B and C). Conclusion Baseline faecal kynurenine has potential as a prognostic biomarker for dietary therapies. Trp metabolite ratios, notably serotonin/kynurenine for CDED+PEN and 5-OH-tryptophan/kynurenine for EEN, showed promising predictive capabilities. If confirmed in validation studies, baseline faecal Trp markers may be able to provide much needed guidance to personalize dietary intervention within the management of paediatric CD. References 1. Gastroenterology. 2022 Oct;163(4):922-936. 2. Gastroenterology. 2019 Aug;157(2):440-450.

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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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.261
Teacher spread0.253 · 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 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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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