Brain type natriuretic peptide increases L-type Ca2+ current in atrial myocytes by activating natriuretic peptide receptor A
Bibliographic record
Abstract
Natriuretic peptides are a group of hormones, including atrial-, brain-, and C-type- natriuretic peptides (ANP, BNP, CNP). BNP can bind to two NP receptors (NPRs) denoted NPR-A (activates guanylyl cyclase) and NPR-C (activates inhibitory G- proteins). This study investigated the electrophysiological effects of BNP on isolated mouse atrial myocytes. Current-clamp experiments show that BNP had no effect on action potential (AP) parameters in basal conditions; however, when pre-stimulated with the ?-adrenergic receptor agonist isoproterenol (ISO), BNP prolonged AP duration. Voltage-clamp experiments demonstrate that BNP increased L-type calcium current (ICa,L) in the presence of ISO without altering cardiac potassium currents. The BNP effect on ICa,L was blocked by A71915 (a selective NPR-A antagonist), maintained in myocytes lacking NPR-C receptors and blocked by the phosphodiesterase-3 (PDE-3) inhibitor milrinone. These data demonstrate that BNP prolongs AP duration and increases ICa,L in atrial myocytes by activating NPR-A, increasing intracellular cGMP, and inhibiting PDE- 3.
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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".