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Record W2920864703 · doi:10.1093/jcag/gwz006.073

A74 INTERACTIONS BETWEEN DIET AND THE MICROBIOME IN PEDIATRIC INFLAMMATORY BOWEL DISEASES

2019· article· en· W2920864703 on OpenAlexaff
Stephanie Dijk, Morgan Lawley, Michael Bording‐Jorgensen, Deenaz Zaidi, Matthew Carroll, Hien Q. Huynh, Heather Armstrong, Eytan Wine

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMicrobiomeInflammatory bowel diseaseMedicineUlcerative colitisDiseaseParenteral nutritionInflammationGastroenterologyDietary managementCrohn's diseaseGut floraInternal medicineInflammatory Bowel DiseasesImmunologyPhysiologyBiologyBioinformatics

Abstract

fetched live from OpenAlex

Inflammatory bowel diseases (IBD), including Crohn disease (CD) and ulcerative colitis (UC), affect 1 in 150 Canadians, and 25% of new cases are diagnosed in children. IBD manifests with chronic gastrointestinal inflammation and an altered intestinal microbiome. Dietary changes impact IBD, as shown by the effective pediatric CD therapy exclusive enteral nutrition (EEN), which entails exclusive intake of liquid meal-replacement for 6–8 weeks. EEN adherence can be challenging and costly to families; biomarkers to more accurately predict response to EEN would allow for individualized therapy. Previous diet impacts microbes and has been shown to affect response to dietary therapy in mice. Therefore, we hypothesized that previous diet would impact EEN success (and suggest mechanisms of microbial involvement), and that the effects of EEN are mediated through an altered intestinal microbiome in response to dietary or bacterial secreted metabolites. To establish predictors for EEN success and elucidate the metabolic mechanism by which an altered intestinal microbiome mediates patient response to dietary intake. Pre-diagnosis food frequency questionnaire (FFQ) data were used to identify predictors of EEN outcomes. These were then correlated with metabolomics to identify metabolites that may link diet with response to therapy. Metabolites suspected to be involved in response to EEN were then assessed in vitro by measuring effects on bacterial invasion, epithelial barrier integrity, and inflammation. Pilot FFQ analysis correlated intake of simple carbohydrate and processed meat with EEN failure and success, respectively. Exposure to sterile IBD patient intestinal washes increased invasion of Enterohemorrhagic Escherichia coli into Caco-2 cells in gentamicin protection assays. Metabolomic analysis of the content showed increased succinate in IBD patient intestinal washes. Results were replicated in vitro with gentamicin protection assays showing that succinate increased bacterial invasion into HT29 cells. IBD patient isolated bacterial strains have also shown increased invasion compared to identical species isolated from non-IBD controls; both exhibited increased invasion in the presence of succinate. We have shown that previous diet predicts response to therapy, metabolites can alter bacterial invasion, and the IBD microbiome may house more invasive strains of bacteria. Understanding the interactions between diet and the microbiome in pediatric IBD can guide novel dietary or metabolite-focused therapies and facilitate identification of patients likely to respond to dietary therapies such as EEN. CCCCCFA

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.242
Teacher spread0.235 · 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
Published2019
Admission routes1
Has abstractyes

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