Changes in high-density lipoprotein-carried miRNA contribution to the plasmatic pool after consumption of dietary <i>trans</i> fat in healthy men
Bibliographic record
Abstract
Aim: High-density lipoproteins (HDLs) are associated to cardioprotection and transport functional miRNAs in circulation. The aim of this study is to assess whether consumption of trans fatty acids (TFAs) modifies the HDL-carried miRNA concentration and their contribution to the plasmatic pool. Methods: In a double-blind, randomized crossover controlled study, nine healthy men were fed each of three isoenergetic 4-week diets: first, rich in industrial TFAs; second, rich in TFAs from ruminants; third, low in TFAs. miRNAs were extracted from plasma and purified HDLs, and quantified by the real-time quantitative PCR (n = 87). Results: Seven HDL-carried miRNAs contributed to more than 15% of the plasmatic pool. Although no significant difference in HDL-carried miRNA concentration among diets was observed after adjustment for multiple testing, changes in the contribution to the plasmatic pool between diets were observed for miR-124-3p, miR-375, miR-150-5p and miR-31-5p (pFDR < 0.05). These miRNAs were enriched in lipid metabolism pathways. Conclusion: These microtranscriptomic variants might reflect physiological changes in HDL functions in response to diet.
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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 | 0.000 |
| 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) | 0.001 | 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".