Enzymatic- and renal-dependent catabolism of the intestinotropic hormone glucagon-like peptide-2 in rats
Bibliographic record
Abstract
The intestinotropic hormone glucagon-like peptide (GLP)-2-(1-33) is cleaved in vitro to GLP-2-(3-33) by dipeptidyl peptidase IV (DP IV). To determine the importance of DP IV versus renal clearance in the regulation of circulating GLP-2-(1-33) levels in vivo, GLP-2-(1-33) or the DP IV-resistant analog [Gly(2)]GLP-2 was injected in normal or DP IV-negative rats and assayed by HPLC and RIA. Normal rats showed a steady degradation of GLP-2-(1-33) to GLP-2-(3-33) over time, whereas little or no conversion was detected for GLP-2-(1-33) in DP IV-negative rats and for [Gly(2)]GLP-2 in normal rats. To determine the role of the kidney in clearance of GLP-2-(1-33) from the circulation, normal rats were bilaterally nephrectomized, and plasma immunoreactive GLP-2 levels were measured. The slope of the disappearance curves for both GLP-2-(1-33) and [Gly(2)]GLP-2 were significantly reduced in nephrectomized compared with non-nephrectomized rats (P < 0.01). In contrast to both GLP-2-(1-33) and [Gly(2)]GLP-2, GLP-2-(3-33) did not stimulate intestinal growth in a murine assay in vivo. Thus the intestinotropic actions of GLP-2-(1-33) are determined both by the actions of DP IV and by the kidney in vivo in the rat.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".