Apparent B-type natriuretic peptide selectivity in the kidney due to differential processing
Bibliographic record
Abstract
Two natriuretic peptides, atrial natriuretic peptide (ANP) and B-type natriuretic peptide (BNP), are found principally in the heart. In preliminary experiments with mouse kidney cells or slices, we found mouse BNP1-45 much more potent than ANP1-28 in causing elevations of cGMP (>50-fold). The guanylyl cyclase-A (GC-A) receptor has been suggested to represent the primary means by which both peptides signal. In cultured cells overexpressing GC-A, BNP and ANP were almost equivalent in potency, suggesting that a receptor unique for BNP exists in the kidney. However, in mice lacking the GC-A gene, neither BNP nor ANP significantly elevated cGMP in kidney slices. Phosphoramidon, a neutral endopeptidase inhibitor, shifted the apparent potency of ANP to values equivalent to that of BNP, suggesting these kidney cell/slices rapidly degrade ANP but not BNP. Mass spectroscopic analysis confirmed that ANP is rapidly cleaved at the first cysteine of the disulfide ring, whereas BNP is particularly stable to such cleavage. Other tissues (heart, aorta) failed to significantly degrade ANP or BNP, and therefore the kidney-specific degradation of ANP provides a mechanism for preferential regulation of kidney function by BNP independent of peripheral ANP concentration.
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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 | 0.001 | 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".