The Effects of Ethanol Exposure During Distinct Periods of Brain Development on Oxidative Stress in the Adult Rat Brain
Bibliographic record
Abstract
BACKGROUND: The consumption of alcohol during pregnancy can result in abnormal fetal development and impaired brain function in humans and experimental animal models. Depending on the pattern of consumption, the dose, and the period of exposure to ethanol (EtOH), a variety of structural and functional brain deficits can be observed. METHODS: This study compared the effects of EtOH exposure during distinct periods of brain development on oxidative damage and endogenous antioxidant status in various brain regions of adult female and male Sprague Dawley rats. Pregnant dams and neonatal rats were exposed to EtOH during one of the following time windows: between gestational days (GDs) 1 and 10 (first trimester equivalent); between GDs 11 and 21 (second trimester equivalent); or between postnatal days (PNDs) 4 and 10 (third trimester equivalent). RESULTS: EtOH exposure during any of the 3 trimester equivalents significantly increased lipid peroxidation in both the cornus ammonis (CA) and dentate gyrus (DG) subregions of the hippocampus, while also decreasing the levels of the endogenous antioxidant glutathione in the hippocampal CA and DG subregions as well as the prefrontal cortex of young adult animals (PND 60). CONCLUSIONS: These results indicate that EtOH exposure during restricted periods of brain development can have long-term consequences in the adult brain by dysregulating its redox status. This dysfunction may underlie, at least in part, the long-term alterations in brain function associated with fetal alcohol spectrum disorders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".