Glucose-Dependent Insulinotropic Polypeptide Confers Early Phase Insulin Release to Oral Glucose in Rats: Demonstration by a Receptor Antagonist<sup>1</sup>
Bibliographic record
Abstract
A novel GIP receptor antagonist was developed to evaluate the acute role of glucose-dependent insulinotropic polypeptide (GIP) in the insulin response to oral glucose in rats. Antisera to an extracellular epitope of the GIP receptor (GIPR) detected immunoreactive GIPR on rat pancreatic beta-cells. Purified GIPR antibody (GIPR Ab) specifically displaced GIP binding to the receptor and blocked GIP-mediated increases in intracellular cAMP. When delivered to rats by ip injection, GIPR Ab had a half-life of approximately 4 days. Treatment with GIPR Ab (1 microg/g BW) blocked the potentiation of glucose-stimulated insulin secretion by GIP (60 pmol) but not glucagon-like peptide-1 (GLP-1, 60 pmol) in anesthetized rats. The insulin response to oral glucose was delayed in conscious unrestrained rats that were pretreated with GIPR Ab. Plasma insulin levels were approximately 35% lower at 10 min in GIPR Ab treated animals compared with controls. As a result, the glucose excursion was greater in the GIPR Ab treated group. Fasting plasma glucose levels were not altered by GIPR Ab. We conclude that release of GIP following oral glucose may act as an anticipatory signal to pancreatic beta-cells to promote rapid release of insulin for glucose disposal.
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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 | 0.000 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".