Novel Long‐Acting GLP‐2 Analogue, FE 203799 (Apraglutide), Enhances Adaptation and Linear Intestinal Growth in a Neonatal Piglet Model of Short Bowel Syndrome with Total Resection of the Ileum
Bibliographic record
Abstract
BACKGROUND: Glucagon-like peptide-2 (GLP-2) is an intestinotrophic factor released from L-cells in the ileum, a segment commonly resected or atretic in neonatal short bowel syndrome (SBS). In piglets, ileal resection decreases intestinal adaptation and endogenous GLP-2 production, whereas exogenous replacement promotes adaptation. In this study, we determined the effect of a novel long-acting GLP-2 analogue, FE 203799 (FE; apraglutide), upon intestinal growth, adaptation, and function in neonatal SBS piglets without ileum. METHODS: Neonatal piglets were randomized to saline (n = 10) vs FE treatment (n = 8). All piglets underwent 75% intestinal resection with jejunocolic anastomosis and were pair-fed parenteral and enteral nutrition. Saline and FE (5 mg/kg) treatments were administered subcutaneously on days 0 and 4. On day 6, 24-hour fecal samples were collected for subsequent nutrient analysis. On day 7, small-intestinal length and weight were measured and tissue collected for analyses. RESULTS: On day 7, saline and FE-treated piglets were healthy and gained equivalent weight (P = 0.12). Compared with saline piglets, FE-treated piglets had lower fecal fat (P = 0.043) and energy (P = 0.043) losses and exhibited intestinal lengthening (P = 0.001), greater small-intestinal weight (P = 0.004), longer villus height (P = 0.027), and greater crypt depth (P = 0.054). CONCLUSIONS: The subcutaneous GLP-2 analogue, FE, enhanced intestinal adaptation in a neonatal model of SBS without ileum. The observed intestinal lengthening with FE treatment was unique compared with our prior experience with native GLP-2 in this same model and has important clinical implications for treating neonatal SBS. At this developmental stage, growth in the intestine, if augmented, could accelerate weaning from parenteral nutrition.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".