Interaction of atrial natriuretic peptide and ouabain in the myocardium
Bibliographic record
Abstract
Natriuretic peptides and digitalis-like compounds serve as regulators of homeostasis, including control of volume expansion and blood pressure. The aim of the present study was to explore possible interactions between atrial natriuretic peptide (ANP) and ouabain in the heart. ANP (1 nmol/L) had no effect in papillary muscle preparations from guinea pigs. Ouabain (1 µmol/L) induced positive inotropic effect. The addition of ANP prior to ouabain resulted in a significant decrease in the ouabain-induced positive inotropic effect, manifested as an attenuated increase in twitch maximal upward force slope and resting muscular tension. In addition, ANP caused an increase in Na⁺-K⁺-ATPase activity in heart microsomal preparations. The effect of ouabain on Na⁺-K⁺-ATPase activity was shown in a biphasic manner. Ouabain (0.01-1 nmol/L) had a small but significant increase on pump activity, but higher doses of ouabain inhibited activity. ANP attenuated ouabain-induced Na⁺-K⁺-ATPase activity. Furthermore, ouabain (50 nmol/L) or ANP (10 nmol/L) alone induced Akt activation in cardiomyocytes. However, ANP blocked ouabain-induced Akt activation. These results point to the existence of interactions between ANP and ouabain on Na⁺-K⁺-ATPase signaling and function in the heart, which may be mediated by regulation of Na⁺-K⁺-ATPase activity and (or) signal transduction mechanisms.
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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".