Prepartum maternal diets supplemented with oilseeds alter the fatty acid profile in bovine neonatal plasma possibly through reduced placental expression of fatty acid transporter protein 4 and fatty acid translocase
Why this work is in the frame
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Bibliographic record
Abstract
In the present study, we determined the effects of maternal dietary fat and the type of fat on plasma fatty acids and the expression of placental fatty acid transporter genes. In Experiment 1, Holstein cows in the last 35 days of gestation received diets containing sunflower seed (n=8; high in linoleic acid (LA)), canola seed (n=7; high in oleic acid (OLA)) or no oilseed (n=7; control). Fatty acids were quantified in dam and neonate plasma at calving. In Experiment 2, placental cotyledons were collected (LA: n=4; OLA: n=4; control: n=5) to quantify gene expression. Maternal long-chain polyunsaturated fatty acids, neonatal total n-3 fatty acids and eicosapentaenoic acid (EPA) declined, whereas docosahexaenoic acid (DHA) and total fat tended to decline following fat supplementation prepartum. Feeding of LA versus OLA prepartum tended to increase peroxisome proliferator-activated receptor α (PPARA) expression, whereas peroxisome proliferator-activated receptor δ (PPARD) and peroxisome proliferator-activated receptor γ (PPARG) expression tended to be higher in OLA- than LA-fed cows. Expression of fatty acid transporter protein 4 (FATP4) and fatty acid translocase (FAT/CD36) expression was lower in placental tissue of cows fed fat compared with control cows. Reduced total n-3 fatty acids, EPA and DHA in neonates born of dams fed fat prepartum is likely due to changes in PPARs and reduced expression of placental FATP4 and FAT/CD36.
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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 | 0.001 | 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 | 0.001 |
| 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 it