In the Short‐term, Milk Fat Globule Epidermal Growth Factor‐8 Causes Site‐specific Intestinal Growth in Resected Piglets
Bibliographic record
Abstract
OBJECTIVES: Short bowel syndrome (SBS) remains the leading cause of neonatal intestinal failure. Milk fat globule epidermal growth factor-8 (MFG-E8), present in human milk, has homology with epidermal growth factor (EGF), known to enhance adaptation in SBS. In this pilot study, the role of oral MFG-E8 treatment in SBS was explored in neonatal piglets. METHODS: Neonatal piglets underwent 75% intestinal resection, either distal (jejunal-colonic [JC] anastomosis) or mid-intestinal (jejunal-ileal [JI] anastomosis). Piglets were randomized to intragastric treatment with MFG-E8 (5 mg/kg per day) or saline and were maintained on parenteral nutrition and enteral nutrition for 7 days. Adaptation was assessed by intestinal length and weight, histopathology, fecal fat analysis and RT-qPCR analysis of mucosal transcripts, including growth factors. RESULTS: JI piglets demonstrated intestinal lengthening (P < 0.001), 2-fold greater in ileum than jejunum (P = 0.02), where lengthening was increased by MFG-E8 treatment (P = 0.02). JC piglets did not exhibit jejunal lengthening, regardless of treatment. Fat absorption was greater for JI piglets (P = 0.02), unaffected by treatment. In JI piglets, expression of Egf was increased in the ileum (P < 0.01) and MFG-E8 treatment increased Egfr (receptor) expression (P = 0.02). CONCLUSIONS: MF-EG8 demonstrated site-specific trophic effects, only with JI anatomy. This may limit the utility of this treatment for SBS, except for rare patients with retained ileum. The mechanisms of these site-specific effects, however, and the role of MFG-E8 in neonatal gut growth and in diseases, such as necrotizing enterocolitis that commonly target ileum, warrant further exploration.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".