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 PUFA supplementation. Methods 210 subjects followed a 2‐wk run‐in period based on Canada's Food Guide, and underwent a 6‐wk 5g/d fish oil supplementation (1.9g of EPA + 1.1g of DHA). Biochemical markers such as plasma lipids, inflammatory markers, and glycemic parameters were measured. Results N‐3 PUFA supplementation was associated with a decrease of plasma triglyceride (TG) 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 (total‐C) (p = 0.01), low‐density‐lipoprotein cholesterol (LDL‐C) (p = 0.007), apolipoprotein B (Apo‐B) (p = 0.04) and insulin (p = 0.002) levels. Sex was associated with post‐intervention plasma high‐density‐lipoprotein cholesterol (HDL‐C) 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 (CRP) 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. Funding: CIHR MOP‐229488
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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".