NONRUMINANT NUTRITION SYMPOSIUM: The role of glucagon-like peptide-2 in controlling intestinal function in human infants: Regulator or bystander?1,2,3
Bibliographic record
Abstract
The regulation of nutrient absorptive capacity is a critical factor in the normal growth and development of infants of all species. In human infants this is a common problem after surgical resection; the process of adaptation or upregulation of nutrient transport capacity is the physiologic process, which allows patients to transition to enteral feeding. The specific mechanisms that control this are still relatively poorly understood but are likely relevant for most mammals with an ontogeny of intestinal function related to the weaning process. Many actions of the entero-endocrine hormone glucagon-like peptide (GLP)-2 indicate that it may be a key factor in regulating physiologic intestinal development, nutrient absorptive capacity, and the process of adaptative upregulation of nutrient absorption after resection. This article will review the biology of GLP-2, which is preserved across a broad range of species. This will include the production of GLP-2 in the L cell, the regulation of GLP-2 release, and the mechanism of action. The GLP-2 receptor is specifically located on enteric neurons and pericryptal myofibroblast; thus, effects on the intestinal mucosa involve a second messenger. We will review the functioning of this system in the developing human infant and the role of GLP-2 in the regulation of adaptation, with the general implications for nutrient absorption in animals and humans.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".