Perinatal and post‐weaning diets high in omega‐3 fatty acids upregulate genes involved in neurotrophin signaling
Bibliographic record
Abstract
We investigated the effects of perinatal and post‐weaning diets high in omega (n)‐3 polyunsaturated fatty acids (PUFA) on cerebral cortical phospholipid fatty acid composition, and the impact on mRNA expression of neurotrophins. Female C57BL/6 mice were fed semi‐purified diets (20% w/w fat) containing n‐6 to n‐3 PUFA ratios of 5:1 (high n‐3 PUFA) or 30:1 (low n‐3 PUFA) before mating, during pregnancy, and until weaning. Male offspring (n=8) continued on their mothers’ diets for four months. Brain cortex phospholipid fatty acids were determined by thin layer and gas chromatography, and mRNA expressions of brain‐derived neurotrophic factor (BDNF), nerve growth factor (NGF), cAMP response element binding protein (CREB), and TrkB were measured at weaning and four months. Docosahexanoic acid and total n‐3 PUFA were significantly higher in cortical phospholipids of the high n‐3 PUFA group compared to the low n‐3 PUFA group at weaning (P<0.0001), and at four months (P<0.05). The high n‐3 PUFA group showed a trend towards an increase in mRNA expressions of BDNF, NGF, and TrKB at weaning, however a significant (P<0.0001) increase was observed at four months in the high n‐3 PUFA group compared to low n‐3 PUFA group. Our data shows that accretion of n‐3 PUFA in the brain upregulates gene expression of neurotrophins and their target receptors, thereby stimulating neuroprotection and enhanced cognitive function. 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 | 0.000 | 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 | 0.001 |
| 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".