Short Exposure to Moderate Concentration of Alcohol During Embryonic Development Does Not Alter Gross Morphology in Zebrafish
Bibliographic record
Abstract
Several studies have demonstrated translational potential of the zebrafish in modeling fetal alcohol spectrum disorders (FASDs), including the less severe forms of this disease. Short exposure to even low doses of alcohol during embryonic development has been shown to disrupt behavior, alter neurochemistry, and expression of neuronal markers and glial cell phenotypes in zebrafish. However, no study to date has systematically analyzed the potential morphological effects of the short- and low-dose embryonic alcohol exposure regimen used before with zebrafish to model milder forms of human FASD. In this study, we use this previously used embryonic alcohol exposure regimen. We immerse intact zebrafish eggs of AB strain and of a genetically variable wild-type population for 2 h into 1% or 0% (vol/vol) ethanol bath at one of five developmental stages (8, 16, 24, 32, or 40 h postfertilization). At 8 days postfertilization, we quantify body length and width and eye diameter of the larvae. We report nonsignificant effects of embryonic alcohol exposure used at all developmental stages in both populations of zebrafish. Our results confirm that visual perception or motor function is unlikely to have contributed to previously reported behavioral abnormalities resulting from embryonic alcohol exposure in zebrafish.
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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".