Chronic prenatal ethanol exposure-induced decrease of guinea pig hippocampal CA1 pyramidal cell and cerebellar Purkinje cell density
Bibliographic record
Abstract
The brain is a key target of ethanol teratogenicity, in which ethanol can produce neurodegeneration in selected areas, including the hippocampus and cerebellum. The research objective was to test the hypothesis that chronic prenatal ethanol exposure, via maternal ethanol administration, produces differential time course of decreased linear density of hippocampal CA1 pyramidal cells and cerebellar Purkinje cells. Timed pregnant guinea pigs received chronic oral administration of ethanol, isocaloric-sucrose/pair-feeding, or water throughout gestation (term, about gestational day (GD) 68), and the offspring were studied at GD 62 (near-term fetus), postnatal day (PD) 1 (neonate), PD 5, and PD 12 (early postnatal life). Ethanol treatment, compared with isocaloric-sucrose/pair-feeding and water treatments, decreased brain, hippocampal, and cerebellar weights at GD 62, PD 1, PD 5, and PD 12. Hippocampal CA1 pyramidal cell linear density and cerebellar Purkinje cell linear density were unaffected at GD 62. Ethanol treatment produced 25, 30, and 30% decreases in linear density of hippocampal CA1 pyramidal cells at PD 1, PD 5, and PD 12, respectively, and a 30% decrease in linear density of cerebellar Purkinje cells at PD 12 only. At PD 5, Purkinje cell profile linear density remained unaffected; however, ethanol treatment appeared to increase linear density of apoptotic Purkinje cell nuclei, as determined by a modified TUNEL method. The data demonstrate that chronic prenatal ethanol exposure produces apparent differential time course of decreased linear density of hippocampal CA1 pyramidal cells and cerebellar Purkinje cells in the developing guinea pig.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 teacher head, 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".