Influence of the angiotensin‐converting enzyme gene insertion/deletion polymorphism on lipoprotein/lipid response to gemfibrozil
Bibliographic record
Abstract
Evidence suggests that fibrate therapy reduces the risk of recurrent coronary heart disease among men with low levels of high density lipoprotein cholesterol (HDL-C). Indirect observations and new possible biological pathways suggest that the angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism might modulate the lipoprotein/lipid profile and its response to fibrate therapy. To assess the possible interaction between fibrate therapy and such variants on plasma lipid and lipoprotein levels, 65 dyslipidemic abdominally obese men were treated for 6 months with or without gemfibrozil (600 mg twice daily). No differences in baseline plasma lipid and lipoprotein levels were found between genotype groups except for the HDL(3)-C subfraction, which was higher in the DD group (p = 0.02). A two-way factorial ANOVA was used to evaluate the effect of the genotype (DD homozygotes vs I allele carriers), the treatment (placebo vs gemfibrozil), and the interaction between these two independent variables on changes observed in lipid and lipoprotein concentrations. A significant genotype-by-treatment interaction (p = 0.02) was found for the plasma HDL-C response to the intervention program. In fact, having the DD genotype and being treated with gemfibrozil had a synergical effect on HDL-C levels. The results of this study suggest that the ACE I/D polymorphism influences the effect of gemfibrozil on plasma HDL-C levels.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".