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Record W2791829708 · doi:10.1093/ecco-jcc/jjx180.557

P430 Distinct faecal bile acid profiles are associated with sustained remission following exclusive enteral nutrition (EEN) induction therapy in paediatric Crohn's disease

2018· article· en· W2791829708 on OpenAlexaff
Jessica Connors, Robert Bandsma, Brad MacIntyre, Scott Whitehouse, Angela Noble, Mohsin Rashid, A Otley, Johan Van Limbergen

Bibliographic record

VenueJournal of Crohn s and Colitis · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsHospital for Sick ChildrenIzaak Walton Killam Health Centre
Fundersnot available
KeywordsInternal medicineGastroenterologyCrohn's diseaseMedicineEnteral administrationBile acidMicrobiomeParenteral nutritionMaintenance therapyDiseaseFecesImmunologyBiologyChemotherapyBioinformatics

Abstract

fetched live from OpenAlex

Exclusive enteral nutrition (EEN) is a first-line therapy to induce remission in paediatric Crohn’s disease (CD). However, many patients will relapse upon resuming normal diet and there are no validated measures to determine subgroups of patients who will benefit most from EEN. We recently demonstrated that the certain compositional features of gut microbiome are associated with relapse following EEN. Microbiome composition can impact the balance of intestinal bile acids (BA), which have important antimicrobial and immune functions. The goal of this study was to analyse the relationship between intestinal BA composition and response to EEN in paediatric CD. We performed faecal BA analysis on a biorepository of stool samples from 13 paediatric CD patients who were treated with EEN for 12 weeks and achieved remission as defined by wPCDAI <12.5. All patients received maintenance therapy with an immunomodulator. Of these 13 patients, 7 sustained remission (SR) and 6 relapsed within 3 months of EEN cessation (non-sustained remission (NSR)). Faecal BA quantification was performed by the Sick Kids Analytical Facility for Molecules (AFBM) by liquid chromatography tandem mass spectrometry (LC-–MS-MS) using the Biocrates Life Sciences Bile Acids Kit according to the manufacturer’s instructions. For samples with BA abundance above the limit of detection, the missing data were imputed using area ratios relative to internal standards. BA concentrations were not normally distributed according to D’Agostino-Pearson test, so data are presented as median [range] and compared between groups using the Mann–Whitney U test. NSR patients had significantly lower levels of secondary BA (deoxycholic acid (DCA) and lithocholic acid (LCA) prior to starting EEN: median LCA 1 [1–4] pmol/mg vs. 1976 [19–3163] pmol/mg (p < 0.05) and median DCA 2 [1–5] pmol/mg vs. 2605 [29–4288] pmol/mg (p < 0.05). NSR patients also exhibited higher levels of primary BA (cholic acid (CA) and chenodeoxycholic acid (CDCA)) at baseline and Week 12, although this was not significant. The ratio of primary to secondary BAs was profoundly increased in NSR patients compared with SR patients: median 318.4 [0.926–642.1] (p < 0.05) vs. median 0.005 [0.002–0.059]. Levels of primary and secondary BA did not change significantly over the course of EEN in either group, although secondary BA concentrations were slightly increased in NSR patients by Week 12 relative to baseline. We demonstrate that primary and secondary BA compositions in stool differed between patients who sustained remission following EEN vs. those who relapsed. BA profiling may be a useful microbiome metabolic marker to identify patients who will sustain remission longer following EEN therapy.

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)0.002
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0000.001
Research integrity0.0010.001
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 head0.007
GPT teacher head0.238
Teacher spread0.231 · 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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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