Altered regulation of renal interstitial hydrostatic pressure and the renal renin–angiotensin system in the absence of atrial natriuretic peptide
Bibliographic record
Abstract
BACKGROUND: Although it has been well established that atrial natriuretic peptide gene-disrupted (ANP-/-) mice are a useful model of salt-sensitive hypertension, surprisingly little is known about the control of their intrarenal renin-angiotensin system (RAS) and pressure-natriuresis mechanism, key components in blood pressure, fluid and electrolyte regulation. The aim of this study was to determine whether ANP disruption results in changes in the renal and adrenal local RAS and the acute pressure-natriuresis mechanism. METHODS: Renal and adrenal renin, angiotensin type 1 (AT1)(A and B) and angiotensin type 2 (AT2) receptor messenger RNA expression levels were determined by northern blotting or real time reverse transcriptase-polymerase chain reaction. Plasma aldosterone and renal and adrenal angiotensin II peptide levels were determined by radioimmunoassay. To examine the acute pressure-natriuresis response, changes in renal interstitial hydrostatic pressure (RIHP) were assessed after manipulations of renal arterial pressure (RAP) in anaesthetized mice. RESULTS: Renal and adrenal renin mRNA and angiotensin II levels were lower in ANP-/- and +/- mice compared with +/+mice. ANP-/- mice also had greater renal AT1A and adrenal AT2 mRNA levels compared with the other genotypes. RAP and RIHP were significantly higher in -/-mice compared with +/+mice. Furthermore, there was a blunted slope of the RAP-RIHP relationship after increases in RAP in ANP-/- mice. CONCLUSION: These data indicate that ANP disruption results in a blunting of the dynamic properties of the acute pressure-natriuresis mechanism at increased levels of RAP, as well as a reduced expression of renal and adrenal local RAS.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".