Muscarinic Regulation of Somatostatin Release from Primary Cultures of Human Antral Epithelial Cells
Bibliographic record
Abstract
A newly developed, primary culture of human antral epithelial cells has been utilized to examine the effect of parasympathomimetics on somatostatin release. The cholinergic agonists, carbachol and methacholine, stimulated somatostatin secretion in a concentration-dependent manner. Maximal release in response to carbachol was observed at 0.1 mmol/l. Methacholine was 10 times more potent with a significant release being observed at 1 mumol/l, maximal secretion was observed at 10 mumol/l. Somatostatin release, stimulated by the mixed nicotinic and muscarinic agonist, carbachol, was attenuated by the addition of atropine at 0.1 mumol/l but was unaffected by the same concentration of pirenzepine. Methacholine-stimulated release was attenuated by addition of 0.1 mumol/l atropine and unaffected by the same concentration of pirenzepine. The response to methacholine was reversed by the addition of 0.1 mumol/l 4-diphenylacetoxy-n-methylpiperidine methiodide (4-DAMP) and attenuated by 1 nmol/l 4-DAMP indicating that the effect was mediated by an M3 receptor. In conclusion, human antral D cells are stimulated by parasympathomimetics acting at an M3 receptor.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".