Effects of Age, Sex, Body Mass Index and APOE Genotype on Cardiovascular Biomarker Response to an n-3 Polyunsaturated Fatty Acid Supplementation
Bibliographic record
Abstract
OBJECTIVES: To test whether age, sex, body mass index (BMI), and the apolipoprotein E (APOE) genotype are associated with the metabolic response to an n-3 polyunsaturated fatty acid (PUFA) supplementation. METHODS: 210 subjects followed a 2-week run-in period based on Canada's Food Guide and underwent a 6-week 5 g/day fish oil supplementation (1.9 g of eicosapentaenoic acid and 1.1 g of docosahexaenoic acid). Cardiovascular disease risk factors were measured. RESULTS: n-3 PUFA supplementation was associated with a decrease of plasma triglyceride levels (p = 0.0002) as well as with an increase of fasting glucose (FG) levels (p = 0.02). Age was associated with post-intervention plasma total cholesterol (p = 0.01), low-density lipoprotein cholesterol (p = 0.007), apolipoprotein B (p = 0.04), and insulin (p = 0.002) levels. Sex was associated with post-intervention plasma high-density lipoprotein cholesterol levels (p = 0.02). BMI was associated with plasma FG (p = 0.02) and insulin levels (p < 0.0001) after the supplementation. APOE genotype was associated with FG (p = 0.001) and C-reactive protein levels (p = 0.03) after the supplementation. CONCLUSION: Results suggest that age, sex, BMI, and the APOE genotype contribute to the inter-individual variability observed in the metabolic response to an n-3 PUFA supplementation.
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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) | 0.000 | 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".