Prenatal ethanol exposure reduces pyramidal cell size and postsynaptic density length in the CA1 region of the hippocampus in adolescent rats (726.2)
Bibliographic record
Abstract
Fetal alcohol spectrum disorder (FASD) is the leading cause of cognitive impairment in the Western world. The impact of the toxic effects of prenatal ethanol exposure (PNEE) on the development of memory regions of the brain remains unclear. To understand these effects, a rat model of PNEE was used to study structural elements of cornu ammonis 1 (CA1) of the hippocampus. Using light and electron microscopy, the density and size of pyramidal cell nuclei and synapses in the CA1 were quantified by morphometric methods in control and PNEE male rats at postnatal day 35 (P35). During gestation the blood alcohol content of pregnant dams ranged from 90‐150 mg/dl and average body weight of PNEE offspring rats was ~15% less than controls at P35. By light microscopy, the pyramidal nuclear area (as a measure of cell body size) was reduced by ~22% in PNEE rats when compared to controls (105.1 ±15.1 µm² vs 135.2 ±4.65 µm²). By electron microscopy, the spine shape and density of synapses within stratum radiatum was not significantly different between the two groups, however, the total combined length of post‐synaptic densities (PSDs) per test field (117µm²) was significantly less in PNEE rats (2157 ±121 nm vs 2523 ±192 nm, p<0.025, n=30 fields/group). These results indicate ethanol exposure in utero affects the size of pyramidal nuclei and overall receptive fields (PSDs) in adolescent PNEE rats and points to permanent effects or delays in maturation in the CA1 region of the hippocampus. Grant Funding Source : Supported by 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) | 0.000 | 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) | 0.002 | 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".