Discovery of a natriuretic peptide family and their clinical application
Bibliographic record
Abstract
The identification of atrial natriuretic peptide (ANP) induced an explosive series of studies on the new peptide involved in control of the circulation, both in the basic and clinical fields. During the first decade of ANP research surprising progress has been made, revealing that the heart is an endocrine organ regulating the circulation system. ANP has been developed as a diagnostic tool and as a therapeutic drug for cardiac failure. In the second decade, brain natriuretic peptide (BNP) and C-type natriuretic peptide (CNP) were identified, unveiling new profiles of this peptide family. Although BNP is also a circulating hormone that shares a common receptor with ANP, it is different from ANP in its' synthesis and secretion. Plasma concentration of BNP reflects the severity of heart failure in patients in a dramatic fashion, much moreso than ANP. Thus, BNP has been developed as a powerful diagnostic tool for cardiovascular diseases. The third congener, CNP, having a receptor of its own, was initially thought to function only in the brain. CNP was subsequently found to be produced from vascular endothelial cells and macrophages, indicating that CNP is a local regulator and also an antiproliferative factor in the vascular cell system, rather than a circulating hormone. Trials for the clinical application of CNP have also been discussed.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".