Endothelial Nitric Oxide Synthase Gene/Gender Interactions and the Renal Hemodynamic Response to Angiotensin II
Bibliographic record
Abstract
Endothelial function is dependent on the generation of nitric oxide (NO) by the enzyme endothelial NO synthase (eNOS). One functional coding polymorphism of the eNOS gene (G894-->T) is associated with reduced enzyme activity, increased coronary heart disease, and the development of end-stage renal failure. Because gender and renin-angiotensin system activation also play key roles in the development of renal and cardiovascular disease and because NO plays a role in the response to angiotensin II (AngII), it was hypothesized that the eNOS gene G894-->T polymorphism would be a determinant of the systemic and renal vascular response to AngII. Fifty young, healthy, normotensive individuals who were on a controlled sodium and protein diet for 1 wk underwent assessment of BP and renal hemodynamic function at baseline and during AngII infusion (4 ng/kg per min for 45 min). Participants were genotyped for the eNOS gene G894-->T polymorphism and then segregated into groups on the basis of gender and genotype (GG versus GT/TT). Baseline values for renal blood flow, effective renal plasma flow, and GFR were lower in men with the T allele compared with men who were homozygous for the G allele (P = 0.03), but the polymorphism was not associated with renal hemodynamic function in women. The BP responses to AngII were similar in men and women regardless of genotype. Both multivariate linear regression and analysis of covariance (ANCOVA) revealed a relationship between gender and genotype. Men with the GT/TT genotype exhibited a significantly greater decrease in GFR (P = 0.04) in response to AngII than did those with the GG genotype. This association was not observed in women. The eNOS gene G894-->T polymorphism is a determinant of both baseline renal hemodynamic function and the hemodynamic response to AngII in men but not in 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) | 0.002 | 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".