Effects of PACAP<sub>127</sub> on the canine endocrine pancreas in vivo: interaction with cholinergic mechanism
Bibliographic record
Abstract
The aim of the present study was to characterize the effects of pituitary adenylate cyclase activating polypeptide (PACAP) on the endocrine pancreas in anesthetized dogs. PACAP(1-27) and a PACAP receptor (PAC(1)) blocker, PACAP(6-27), were locally administered to the pancreas. PACAP(1-27) (0.005-5 microg) increased basal insulin and glucagon secretion in a dose-dependent manner. PACAP(6-27) (200 microg) blocked the glucagon response to PACAP(1-27) (0.5 microg) by about 80%, while the insulin response remained unchanged. With a higher dose of PACAP(6-27) (500 microg), both responses to PACAP(1-27) were inhibited by more than 80%. In the presence of atropine with an equivalent dose (128.2 microg) of PACAP(6-27) (500 microg) on a molar basis, the insulin response to PACAP(1-27) was diminished by about 20%, while the glucagon response was enhanced by about 80%. The PACAP(1-27)-induced increase in pancreatic venous blood flow was blocked by PACAP(6-27) but not by atropine. The study suggests that the endocrine secretagogue effect of PACAP(1-27) is primarily mediated by the PAC(1) receptor, and that PACAP(1-27) may interact with muscarinic receptor function in PACAP-induced insulin and glucagon secretion in the canine pancreas in vivo.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".