Effects of adolescent ethanol exposure on Purkinje cell viability
Bibliographic record
Abstract
Chronic alcoholism can cause damage to the cerebellum, an area of the brain associated with motor learning and coordination. Recently, we found that adolescent exposure to ethanol in rats can cause altered motor function in adulthood. In the current study, we investigated the effects of adolescent ethanol exposure on the viability of cerebellar Purkinje cells (PCs). To simulate binge drinking, male Sprague‐Dawley rats received an intraperitoneal (i.p.) injection of 25% (v/v) ethanol in isotonic saline (3g/kg) for either 7 days (P31‐37) or 4 days (P31,33,35,37). Controls received an i.p. injection of isotonic saline (P31‐37). Animals administered ethanol displayed obvious loss of motor coordination within minutes of injection. Blood alcohol concentration at 30 min was 275± 16 mg/dl, which represents approximately 12‐15 drink equivalents. On P58, rats were sacrificed and coronal slices of the cerebellum were prepared and stained with cresyl violet. Slices from control animals displayed an intact PC layer. However, rats that had received either 4 or 7 injections of ethanol had a significant loss of PCs as compared to controls. Given the importance of PCs in motor control, these findings suggest that PC death caused by adolescent ethanol exposure may lead to long‐lasting adverse effects on motor coordination. Supported by ABMRF/The Foundation for Alcohol Research and Canada Foundation for Innovation.
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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 | 0.000 |
| 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".