PP.25.06
Bibliographic record
Abstract
Objective: Renal vasodilatation during L-arginine (ARG) infusion is impaired in essential hypertensive (HTN) vs. healthy (C) humans. Whether or not different ARG effects on the oxidative stress (OS) do participate in such abnormal responses is not known. Design and method: Mean arterial pressure (MAP), glomerular filtration rate (GFR, inulin), renal blood flow (RBF, p-aminohippurate), and urinary excretion of sodium (UNaV), NO2+NO3 (UNOxV), and 8-isoprostane (U8-iso-PGF2alfaV) were measured in 16 salt-repleted C and 19 HTN undergoing 3-hours infusion of 0.012 mmol.kg.min-1 ARG.HCl. Results: In contrast to the markedly decreased U8-iso-PGF2alfaV with ARG.HCl in C, in HTN a slightly increased U8-iso-PGF2alfaV is associated with impaired renal vasodilatation. Therefore, a net reduction in the baseline OS related to the augmented NO bioavailability likely participates physiologically in renal responses to ARG.HCl. In HTN, a limited or abolished capacity of ARG.HCl to affect baseline OS, consistent with impaired scavenging of Reactive Oxygen Species by NO and/or increased formation of peroxynitrite from NO, could contribute to the reduced renal hemodynamic response. Conclusions: In contrast to the markedly decreased U8-iso-PGF2alfaV with ARG.HCl in C, in HTN a slightly increased U8-iso-PGF2alfaV is associated with impaired renal vasodilatation. Therefore, a net reduction in the baseline OS related to the augmented NO bioavailability likely participates physiologically in renal responses to ARG.HCl. In HTN, a limited or abolished capacity of ARG.HCl to affect baseline OS, consistent with impaired scavenging of Reactive Oxygen Species by NO and/or increased formation of peroxynitrite from NO, could contribute to the reduced renal hemodynamic response.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.965 | 0.973 |
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".