Baseline Fecal Microbiota in Pediatric Patients With Celiac Disease Is Similar to Controls But Dissimilar After 1 Year on the Gluten‐Free Diet
Bibliographic record
Abstract
Objectives: The objectives of this pilot study were to examine fecal microbiota composition of pediatric patients with celiac disease (CD) before and after a 1‐year gluten‐free diet (GFD) and to determine the association with symptoms and anti‐tissue transglutaminase (aTTG) antibody. Methods: Stool samples were obtained from pediatric patients with CD and from healthy controls. Patients were classified by the presence (diarrhea, abdominal pain, weight loss) or absence (asymptomatic, headache, fatigue, etc.) of typical CD gastrointestinal symptoms and by aTTG normalization post‐GFD intervention (< 7 U/mL). Fecal microbial composition was measured using 16S ribosomal RNA gene amplicon sequencing of the V3–V4 region. Results: At diagnosis, 13 of 22 patients with CD had typical gastrointestinal symptoms, the remaining patients having atypical or asymptomatic presentations. After a 1‐year GFD, all symptomatic patients improved and 9 of 19 had normalized aTTG. Prior to GFD, no distinct microbial signature was observed between patients and controls ( P = 0.39). Post‐GFD, patients with CD had a unique microbial signature with reductions in known fiber‐degrading bacteria, including Blautia , Dorea , Lactobacillus , and Prevotella compared with controls. Within the patients with CD, microbial composition was not associated with reported symptom presentation or aTTG normalization. Conclusions: Pediatric patients with CD only had a unique microbial signature compared with healthy controls when placed on the GFD. These results suggest that pediatric patients with CD may not have a unique fecal microbial signature indicative of inherent dysbiosis, in contrast to that suggested for older patients. In children with CD, diet may play a role in shaping microbial composition more so than disease status.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".