Genetic Polymorphisms of Tumor Necrosis Factor-Alpha Modify the Association between Dietary Polyunsaturated Fatty Acids and Plasma High-Density Lipoprotein-Cholesterol Concentrations in a Population of Young Adults
Bibliographic record
Abstract
BACKGROUND/AIMS: Genetic polymorphisms in tumor necrosis factor-alpha (TNF-alpha) modify the association between polyunsaturated fatty acids (PUFA) and plasma high-density lipoprotein (HDL) cholesterol in a population with type 2 diabetes. The objective of this study was to determine whether this gene x diet interaction is observed in a diabetes-free population and whether it is due to n-3 or n-6 PUFA. METHODS: Subjects (n = 595) were aged 20-29 years and genotyped for the TNF-alpha -238G>A and TNF-alpha -308G>A polymorphisms. Diet was assessed using a food frequency questionnaire. Subjects were grouped as having no minor A allele at both the -238 and -308 positions (0/0), or one minor A allele at either the -238 (1/0) or the -308 (0/1) position. RESULTS: TNF-alpha genotypes modified the association between dietary PUFA and HDL-cholesterol concentrations (p = 0.04 for interaction). Among individuals with the 0/0 genotype, total PUFA was positively associated with HDL-cholesterol in both men (p = 0.008) and women (p = 0.03), and for both n-6 (p = 0.004) and n-3 (p = 0.04) PUFA. However, an inverse relationship was observed among men carrying the 1/0 genotype (p = 0.005). CONCLUSION: These findings demonstrate that TNF-alpha genotypes modify the association between dietary PUFA and HDL-cholesterol and provide further evidence that inflammation is involved in the reverse cholesterol transport.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".