A74 INTERACTIONS BETWEEN DIET AND THE MICROBIOME IN PEDIATRIC INFLAMMATORY BOWEL DISEASES
Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".