Long‐chain n‐3 fatty acids – New anabolic compounds improving protein metabolism
Bibliographic record
Abstract
Previous animal studies demonstrated that chronic feeding of long‐chain n‐3 polyunsaturated fatty acids (LCn‐3PUFA) that modifies muscle membrane fatty acid composition promotes protein anabolism by blunting the age‐associated deterioration in insulin sensitivity. The current study assessed, as a proof of concept, the anabolic effects of LCn‐3PUFA‐rich menhaden oil in 78 male castrated pigs (20 kg initial body weight). Pigs were fed for 76 days diets containing 0, 3, or 4% menhaden oil using iso‐energetic oil substitutions in diets typical of swine production (6% fat matter). Performance and body composition were measured using ultrasound technology during growth at 55 and 85 kg according to a complete block design. Menhaden oil feeding linearly reduced feed intake with a decline from 2.58 to 2.51 kg/d (‐3%; P =0.04) at 85 kg body weight without altering body weight gain. Back fat thickness remained unchanged (11.16 mm) between treatments. The diameter of the longissimus dorsi was linearly increased as menhaden oil amount increased (50.0, 50.1, 51.8 mm; P =0.02). The results demonstrate for the first time that LCn‐3PUFA promote muscle protein accretion, this approach could be a novel intervention to ameliorate the age‐related loss of muscle mass in the human.
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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".