Transport of a tripeptide, Gly‐Pro‐Hyp, across the porcine intestinal brush‐border membrane
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The transcellular transport of oligopeptides across intestinal epithelial cells has attracted considerable interest in investigations into how biologically active peptides express diverse physiological functions in the body. It has been postulated that the tripeptide, Gly-Pro-Hyp, which is frequently found in collagen sequences, exhibits bioactivity. However, the mechanism of uptake of dietary di- and tripeptides by intestinal epithelial cells is not well understood. In this study, we used porcine brush-border membrane (BBM) vesicles to assess Gly-Pro-Hyp uptake, because these vesicles can structurally and functionally mimic in vivo conditions of human intestinal apical membranes. The present study demonstrated the time-dependent degradation of this tripeptide into the free-form Gly and a dipeptide, Pro-Hyp, on the apical side of the BBM vesicles. In parallel with the hydrolysis of the tripeptide, the dipeptide Pro-Hyp was identified in the BBM intravesicular space environment. We found that the transcellular transport of Pro-Hyp across the BBM was inhibited by the addition of a competitive substrate (Gly-Pro) for peptide transporter (PEPT1) and was pH-dependent. These results indicate that Gly-Pro-Hyp can be partially hydrolyzed by the brush-border membrane-bound aminopeptidase N to remove Gly, and that the resulting Pro-Hyp is, in part, transported into the small intestinal epithelial cells via the H+-coupled PEPT1. Gly-Pro-Hyp cannot cross the epithelial apical membrane in an intact form, and Pro-Hyp is highly resistant to hydrolysis by intestinal mucosal apical proteases.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it