Antagonist, partial agonist and antiproliferative actions of B‐9870 (CU201) as a function of the expression and density of the bradykinin B<sub>1</sub>and B<sub>2</sub>receptors
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: A bradykinin (BK) B2 receptor (B2R) antagonist, B-9870 (CU201), has been proposed to behave as a 'biased agonist' at B2Rs and to exert anti-neoplasic effects. It was unclear whether these effects were determined by the activation of B2Rs by the drug. B-9870 was evaluated for antagonism or stimulation of several responses mediated by the rabbit B2R or B1 receptor (B1R); its anti-proliferative activity was also characterized. EXPERIMENTAL APPROACH AND KEY RESULTS: B-9870 was an insurmountable B2R antagonist in the rabbit jugular vein contractility assay, but a partial agonist in HEK 293 cells expressing the rabbit B2R or a green fluorescent protein (GFP) conjugate of the latter (ERK1/2 phosphorylation, [Ca2+]i, [3H]-arachidonate release, endocytosis). The agonist-like effects of B-9870 were inhibited by the B2R antagonist LF 16.0687 and absent in untransfected cells. In addition, B-9870 was a surmontable antagonist of the rabbit B1R in the aorta contractility assay, and blocked Lys-des-Arg9-BK-induced ERK1/2 phosphorylation in HEK 293 cells expressing a fluorescent B1R conjugate. B-9870 inhibited the growth of MDA-MB-231 cells. The latter effect was not influenced by B1R or B2R antagonists and was not apoptotic. MDA-MB-231 cells expressed a small population of B2Rs but no B1Rs; they responded to BK (small calcium transients) and B-9870 behaved as an antagonist. CONCLUSION AND IMPLICATIONS: B-9870 is a dual B1R and B2R antagonist with confirmed stimulating effects at the B2R in high expression systems only. Its cell type-specific anti-proliferative effect occurs at a high concentration, independently from kinin receptors and apoptosis.
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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 | 0.001 |
| 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".