Inhibition of Bombesin-Stimulated Gastrin Release from Isolated Human G Cells by Bombesin Analogs
Bibliographic record
Abstract
This study investigated the ability of 6 putative bombesin (BN) antagonists to inhibit BN-stimulated gastrin release from human antral G cells maintained in culture for 48 h. The analogs studied comprised different sequence changes based around a constant 6-amino-acid sequence from the C-terminal of the peptide. At concentrations of 1.0 mumol/l, analogs 1 and 2 stimulated gastrin release 3-fold above basal. The remaining 4 analogs showed no agonistic activity. After the addition of concentrations of 1.0 mumol/l against a BN concentration of 10.0 nmol/l the following levels of inhibition were obtained: analog 3, 90 +/- 1.4%; analog 4, 95 +/- 0.5%; analog 5, 99 +/- 2.4%, and analog 6, 85 +/- 3.8%. The 2 most effective analogs were analog 3, which was 9 amino acids in length with substitutions of two D-phenylalanine residues and a psi-leucine bond [D-Phe6-psi-Leu13-D-Cpa14-BN(6-14)NH2], and analog 5, which was 8 amino acids in length with a methyl ester at the C-terminus and a single D-phenylalanine substitution at the N-terminus [D-Phe6-BN(6-13)OMe]. These results suggest that the BN receptor present on the human antral G cells differs from that on guinea pig acinar cells and canine G cells, being less sensitive to C-terminal structural modifications.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".