Durability of Linear Small‐Intestinal Growth Following Treatment Discontinuation of Long‐Acting Glucagon‐Like Peptide 2 (GLP‐2) Analogues
Bibliographic record
Abstract
BACKGROUND: Short-bowel syndrome is the leading cause of pediatric intestinal failure, resulting in dependency on long-term parenteral nutrition (PN). To promote enteral autonomy in neonates, a key outcome may be intestinal growth in length. The purpose of this study was to determine if intestinal lengthening persists following discontinuation of treatment with 1 of 2 GLP-2 analogues with different pharmacokinetic profiles. METHODS: Neonatal short-bowel piglets were assigned to saline control (S), 7-day treatment with teduglutide (T) (0.05 mg/kg twice daily), or 7-day treatment with apraglutide (A) (5 mg/kg twice weekly). Comparisons were made between day 7 and day 14 endpoints using analysis of variance. Data included small-intestine length, weight, histology, and quantitative polymerase chain reaction analysis of mucosal transcripts for peptide growth factors and their receptors, nutrient transporters, and tight-junction proteins. RESULTS: Compared with control, 7 days of GLP-2 analogue treatment induced mucosal adaptation based on villus hyperplasia (P = .003), which was not durable 7 days after treatment cessation (day 14; P = .081). Treatment increased intestinal growth in length by day 7 (P = .005), which was maintained (by T) or further increased (by A) at day 14 (P < .001). No significant differences in mucosal transcripts were detected. CONCLUSION: Unlike mucosal adaptation, intestinal growth appears to be a lasting outcome of treatment with long-acting GLP-2 analogues in a neonatal piglet short-bowel model. This has significant clinical implications for neonates, given their potential for intestinal growth. Intestinal lengthening varies between analogues with different half-lives; however, molecular mechanisms require further elucidation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".