Gender and the Renal Nitric Oxide Synthase System in Healthy Humans
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: It is widely known that men with kidney disease progress to ESRD at a much greater rate than do women. The mechanism for these gender differences is not clear, but reduced availability of nitric oxide is thought to contribute to the age-related decline in renal plasma flow observed in both healthy men and women. Animal models suggest that the renal vasculature of men may be significantly more dependent on nitric oxide than that of women. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Renal plasma flow response to the nonspecific nitric oxide synthase inhibitor nitro-L-arginine methyl ester (L-NAME) was measured by para-aminohippurate clearance technique in 21 healthy, normotensive (8 male, 13 female) individuals in balance on a high-salt diet. RESULTS: There were striking differences between the genders in the renal hemodynamic response to L-NAME according to age, a difference that remained even after adjustment for other significant covariates. In men, the fall in renal plasma flow induced by L-NAME increased remarkably with increasing age. In women, there was no influence of age on the renovascular response to L-NAME. Neither age nor gender predicted the mean arterial pressure response to L-NAME. CONCLUSIONS: The renal vasculature of men becomes more dependent on nitric oxide with age compared with that of women, suggesting that any renal disease that interferes with nitric oxide production may, over time, cause existent kidney damage to progress more quickly in men relative to women.
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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 | 0.001 |
| 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 | 0.000 | 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".