Inhibitors of Peptidases: How They Influence the Biological Activities of Substance P, Neurokinins, Bradykinin and Angiotensin in Guinea Pig, Hamster and Rat Urinary Bladders
Bibliographic record
Abstract
Neurokinins, bradykinin and angiotensins were tested in isolated urinary bladder of the guinea pig, the hamster and the rat, in the absence and in presence of a variety of peptidase inhibitors in order to establish if peptide degradation interferes with the bladder contractions elicited by the three types of peptides. Indeed, the effects of neurokinins, bradykinin and angiotensin I in the guinea pig bladder were significantly enhanced by captopril (4.6 x 10(-6) mol/l), chymostatin (1 mg/l), phosphoramidon (4.6 x 10(-6) mol/l) and thiorphan (1.0 x 10(-6) mol/l), while only captopril was found to potentiate the effects of the same peptides in the rat bladder. The four peptidase inhibitors, as well as bacitracin were found to modify the responses of the hamster urinary bladder to one or another or to all three groups of peptides and to DiMeC7. The present results suggest that the urinary bladders of various species have different types of active proteolytic enzymes: only the angiotensin-converting enzyme appears to be present in the rat bladder, while the same enzyme and possibly two additional endopeptidases interfere with the myotropic effects of neurokinins, kinins and angiotensins in the guinea pig and the hamster bladder.
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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 | 0.000 |
| 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".