Angiotensin-Converting Enzyme D/I Gene Polymorphism and Age-Related Changes in Pulse Pressure in Subjects with Hypertension
Bibliographic record
Abstract
UNLABELLED: Background- Few studies have examined the possible influence of gene polymorphisms on the increase of systolic blood pressure (SBP) and pulse pressure (PP) with age, although in older populations, SBP>160 mm Hg or PP>60 mm Hg are strong mechanical factors predicting cardiovascular mortality. METHODS AND RESULTS: This cross-sectional study involved 315 men and 154 women with either systolic-diastolic or isolated systolic hypertension. Using polymerase chain reaction, the angiotensin-converting enzyme (ACE) D/I gene polymorphism was investigated separately in men and women, enabling us to determine the relationships between age and PP, SBP, and diastolic blood pressure (DBP) for each genotype in each population. In men, most of which were under 50 years of age, the slope of the age-PP and age-SBP (but not age-DBP) relationships differed significantly between genotypes (P=0.0096 and 0.0175). The interslope difference was unmodified after adjustments involving all of the following factors together: plasma glucose, cholesterol, creatinine, potassium, body weight, tobacco consumption, mean blood pressure, and previous antihypertensive therapy. Adjustment of the two latter parameters alone significantly attenuated the interslope difference. Based on logistic regressions, the DD genotype was shown to independently predict a PP>60 mm Hg but not a SBP>160 mm Hg. CONCLUSIONS: In men, the ACE D/I gene polymorphism independently modulates age-related increase of PP, and potentially modulates the resulting cardiovascular risk. This finding requires the development of long-term follow-up.
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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".