Determinants of Natriuretic Peptide Production by the Heart: Basic and Clinical Implications
Bibliographic record
Abstract
The cardiac natriuretic peptides (NPs) atrial natriuretic factor (ANF) and brain natriuretic peptide (BNP) are polypeptide hormones synthesized, stored, and secreted by cardiac muscle cells (cardiocytes). The NPs modulate extracellular fluid volume and blood pressure and have potent growth-regulating properties, which make them of great interest for cardiac remodeling in acute myocardial infarction and congestive heart failure. We have observed that the production of NP can be coordinately or discoordinately regulated. In the former type, muscle stretch-elicited secretion triggers signals mediated by Gi/o protein, whereas agonists such as endothelin 1 independently signal through Gq. Discoordinated regulation is observed following stimulations by some cytokines, which selectively up-regulate BNP. This regulation takes place at the translational and transcriptional levels and is dependent on a p38 signaling pathway. Further details of processes regulating NP secretion need to be defined to develop a comprehensive view of the endocrine function of the heart. Nevertheless, translational research in the area of NPs has demonstrated the usefulness of these hormones as a marker of disease and as potential therapeutic agents. The latter application of NP is particularly attractive given that ANF and BNP possess pharmacologic actions that require polypharmacy in the treatment of acute myocardial infarction and congestive heart failure.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".