Maternal dietary FA modulate the long‐chain n−3 PUFA status of chick cardiac tissue
Bibliographic record
Abstract
The effect that egg yolk or maternal n-3 FA have on the cardiac tissue long-chain n-3 FA status of chicks during growth was investigated. Eggs with low, medium, and high levels of n-3 PUFA were obtained by feeding breeder hens a wheat/soybean meal-based diet containing 5% sunflower oil (Low n-3), 2.5% sunflower oil plus 2.5% fish oil (Medium n-3), or 5% fish oil (High n-3). The chicks hatched from Low, Medium, and High n-3 eggs were fed a diet containing 18:3n-3, but devoid of long-chain n-3 FA. The FA composition of cardiac tissue was determined on days 0, 14, 28, and 42. At day 0, the cardiac FA reflected maternal diet. With time, the level of all the long-chain n-3 FA decreased compared with day 0, and this was true especially by day 14. These data show that dietary 18:3n-3 fed to the chicks did not sustain high levels of EPA and DHA in cardiac tissue, despite the high content of long-chain n-3 FA in the maternal diet. At days 0 and 14, the chicks hatched from High and Medium n-3 eggs had higher 20:5n-3, 22:5n-3, and 22:6n-3 contents with a concomitant reduction in 20:4n-6 in the cardiac tissue compared with the Low n-3 egg group. Cardiac tissue of birds hatched from Medium n-3 eggs retained higher levels of 20:5n-3 up to day 42 of growth when compared with other treatments (P < 0.05). None of the treatments was effective in maintaining DHA levels after day 14 of growth.
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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".