Pre‐ and Post‐weaning diets with low omega‐6 to omega‐3 fatty acid ratio reduced plasma lipid levels and increased cholesterol efflux capacity in the offspring of C57BL/6 mice
Bibliographic record
Abstract
We investigated whether maternal and post‐weaning dietary ratios of omega (n)‐6 to n‐3 PUFA alter lipid metabolism of the offspring and whether the effects are gender specific. Female C57BL/6 mice were fed semi‐purified diets (20% w/w fat) containing n‐6 to n‐3 PUFA ratios of 5:1, 15:1 or 30:1 before mating, during pregnancy, and until weaning. Offspring were continued on their mothers’ diets for 4 months. Plasma lipid profile of the offspring was measured at weaning and at 4 months. HDL cholesterol efflux capacity of plasma was assayed using J774 cells. Male offspring from 5:1 group had a relatively lower plasma cholesterol at weaning and at 4 months (p<0.05). At weaning, the male offspring showed no difference in plasma triglyceride (TAG) and nonesterified fatty acids (NEFA) however there was a relative reduction at 4 months in the 5:1 group (p<0.001). Females in the 5:1 group had a relatively lower TAG and NEFA at weaning and at 4 months (p<0.05). The 15:1 females had lower LDL‐cholesterol at weaning and at 4 months; 5:1 males had lower levels at weaning with no differences at 4 months. HDL‐cholesterol was the same in all the groups; however plasma from the 5:1 males showed higher cholesterol efflux compared to 30:1 (p < 0.05). Our data suggest that maternal diets low in n‐6 to n‐3 PUFA ratio reduce plasma lipid levels, the effect is enhanced if the post‐weaning diet is the same and there are gender differences. Supported by NSERC Grant Funding Source : NSERC
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".