Effects of maternal diets on birth outcomes, brain lipids and apoptosis in rats exposed to ethanol during gestation
Bibliographic record
Abstract
Maternal nutritional status is an important determinant of the severity of fetal alcohol spectrum disorders (FASD). This study examined the effects of a standard chow and a semi-purified energy dense (E-dense) diet on birth outcomes and brain lipids in rats with prenatal ethanol (EtOH) exposure. Sprague-Dawley rats were randomly assigned into four groups: chow, chow+EtOH (20% v/v), E-dense, and E-dense+EtOH. EtOH decreased body weight in chow-fed dams and litter sizes in both diet groups. At postnatal day 7, maternal E-dense diet increased body and liver weights and plasma lipids, but decreased relative brain weights and docosahexaenoic acid in the cerebellum and hippocampus of pups compared to those from chow-fed dams. No significant changes were observed on ceramides. While the long-lasting effect of maternal E-dense diet in pups is unknown, this study highlights the importance of maternal nutrition on offspring growth and suggests it as a potential strategy for alleviating FASD.
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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 | 0.001 |
| 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".