Paraoxonase-1 L55M Polymorphism Is Associated with an Abnormal Oral Glucose Tolerance Test and Differentiates High Risk Coronary Disease Families
Bibliographic record
Abstract
Polymorphisms of the gene for the antioxidant enzyme, paraoxonase-1 (PON1), have been identified as risk factors for coronary disease (CHD), notably in diabetic patients. The polymorphisms have also been linked with other diabetic complications. The present study analyzed glucose metabolism as a function of PON1 polymorphisms in young healthy nondiabetic men from families with premature CHD and matched controls. The L55M PON1 polymorphism was independently associated with the glucose response to an oral glucose tolerance test. LL homozygotes had significantly impaired glucose disposal (P = 0.0007) compared with (LM+MM) genotypes. It was particularly marked for subjects from high CHD risk families and differentiated them from matched controls (P = 0.049). The area under the glucose curve (P = 0.0036) and the time to peak glucose value (P = 0.026) were significantly higher in the LL carriers, whereas the insulin response was slower (P = 0.013). Insulin resistance did not differ between L55M genotypes. There was a trend for reduced pancreatic beta-cell function as measured by glucose-induced insulin secretion (LL vs. LM vs. MM, 20.26 vs. 23.74 vs. 25.60; P = 0.077). The frequency of the L55 allele decreased significantly (P = 0.028) across regions defining a north-south European axis. No significant differences for the glucose response or case-control populations were observed as a function of the PON1 Q192R polymorphism. The study demonstrates an association between PON1 gene polymorphisms and glucose metabolism. The L55M-glucose interaction differentiated offspring of high CHD risk families, suggesting that it may be of particular relevance for vascular disease and possibly other diabetic complications.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".