Effects of C-type natriuretic peptide on ionic currents in mouse sinoatrial node: a role for the NPR-C receptor
Bibliographic record
Abstract
The effects of C-type natriuretic peptide (CNP) on heart rate and ionic currents were demonstrated by recording the ECG from adult mice and performing voltage-clamp experiments on single sinoatrial (SA) node cells isolated from mouse heart. The selective natriuretic peptide type C receptor (NPR-C) agonist cANF (10(-7) M) significantly decreased heart rate in the presence of isoproterenol (5 x 10(-9) M), as indicated by an increase in the R-R interval of ECGs obtained from Langendorff-perfused hearts. Voltage-clamp measurements in enzymatically isolated single pacemaker myocytes revealed that CNP (10(-8) M) and cANF (10(-8) M) significantly inhibited L-type Ca2+ current [ICa(L)]. These findings suggest that the CNP effect on this current is mediated by NPR-C. Further support for an NPR-C-mediated inhibition of ICa(L) in SA node myocytes was obtained by altering the functional coupling between the G protein Gi and NPR-C. In these experiments, a "Gi-activator peptide," which consists of a 17-amino acid segment of NPR-C containing a specific Gi protein-activator sequence, was dialyzed into SA node myocytes. This peptide decreased ICa(L) significantly, suggesting that NPR-C activation can result in a reduction in ICa(L) when CNP is bound and the Gi protein pathway is activated. This effect of CNP appears to be selective for ICa(L), because the hyperpolarization-activated current was unaffected by CNP or cANF. These results provide the first demonstration that CNP has a negative chronotropic effect on heart rate and suggest that this effect is mediated by selectively activating NPR-C and reducing ICa(L) through coupling to Gi protein.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".