Effect of the PPAR-Alpha L162V Polymorphism on the Cardiovascular Disease Risk Factor in Response to n–3 Polyunsaturated Fatty Acids
Bibliographic record
Abstract
BACKGROUND: Dietary n-3 polyunsaturated fatty acids (PUFAs) decrease the risk of cardiovascular disease (CVD). Yet, genetic variations of the gene encoding the peroxisome proliferator-activated receptor-alpha (PPARalpha) can also modulate CVD risk factors. Since fatty acids, including n-3 PUFAs, are natural ligands of PPARalpha, a gene-diet interaction effect could be observed. AIMS: To examine whether n-3 PUFA- induced changes in CVD risk factors are influenced by the PPARalpha L162V polymorphism. METHODS: Fourteen men, carriers of the V162 allele and 14 L162 homozygotes, were matched according to age and body mass index. Subjects followed, for 8 weeks, a low-fat diet and then were supplemented daily with 5 g of fish oil for 6 weeks. RESULTS: Baseline characteristics were similar for both genotype groups. Independently of the genotype, the supplementation was associated with a significant decrease in plasma triacylglycerol and fasting glucose concentrations, diastolic blood pressure, and with an increase in total apolipoprotein B concentrations. The extent of the decrease in plasma triacylglycerol concentrations was comparable for both genotype groups (p < 0.03). A significant genotype-by-diet interaction effect was observed for plasma C-reactive protein concentrations (p = 0.01). CONCLUSIONS: The PPARalpha L162V polymorphism may contribute to the interindividual variability in the CVD risk factor response to n-3 PUFAs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".