Enterally delivered dipeptides induce changes in small intestinal (SI) morphology and PepT1 mRNA in a Yucatan miniature piglet model of short bowel syndrome
Bibliographic record
Abstract
PepT1, a di/tripeptide transporter, is preferentially maintained over free amino acid transporters in situations of gut stress. Our objective was to determine the impact of enterally delivered dipeptide-containing diets on PepT1 transporter abundance and SI adaptation in neonatal piglets with an 80% jejuno-ileal resection. A residual 100 cm of ileum was left intact. Piglets (n = 25, 10 ± 1 d old) were randomized to either: 1) control diet containing free amino acids (C), or the same diet but with equimolar amounts of free amino acids replaced by 2) alanylalanine (AA), 3) alanylgutamine (AG), 4) cysteinylglycine (CG) or 5) both AG and CG (AGCG). All pigs received TPN after surgery followed by continuous gastric infusion of test diets from d 3 to 7 at 50% of total intake (50:50 TPN:EN). Animals were killed on d 7. Residual SI mucosal mass of AG and AGCG pigs was 40% less than in C pigs (p<0.05). The CG pigs had greater villus height compared to either AA or AGCG (p<0.05). Moreover, CG pigs had greater crypt depth and PepT1 expression than AG pigs (p<0.05). Enteral provision of dipeptides impacts intestinal adaptation, but the responses are dipeptide specific. It appears that CG confers beneficial effects on gut adaptation compared to AG, although more research is needed to assess how this affects functional capacity. (Ajinomoto, CIHR). Grant Funding Source: Ajinomoto, CIHR
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".