Unexpected Observations: Exposure to Aromatase Inhibitor Prochloraz Did Not Alter the Vitellogenin Content of Zebrafish Ova but Did Inhibit the Growth of Larval Offspring
Bibliographic record
Abstract
There is sparse information about the evaluation of the effects on ova of estrogen inhibition in fish. In this study, two exposure experiments were performed. First, adult zebrafish were exposed to aromatase inhibitor prochloraz (PCZ) (0, 3, 30, or 300 μg/L) for 21 days, and the developmental toxicity of larval offspring was evaluated. PCZ markedly decreased 17β-estradiol (E2) and vitellogenin (vtg) concentrations in plasma of females and suppressed spawned egg numbers. PCZ exposure caused bioaccumulation in ova and resulted in a significant decrease in the body length of larval offspring in 300 μg/L PCZ, but unexpectedly, it did not alter the vtg content of ova. Second, adult zebrafish were exposed to 0 or 300 μg/L PCZ for 21 days, and responses of the transcriptome and proteome in ova were characterized. Although a 21 day treatment with PCZ resulted in bioaccumulation of PCZ in ova, it was not responsible for the observed inhibition of body length growth of larval offspring as evidenced by PCZ microinjection. Furthermore, exposure of adult zebrafish to PCZ significantly downregulated mRNA expression of retinol binding protein 4 ( rbp4 ) and changed protein concentrations related to mitochondrial energy metabolism in ova, and those changes might be responsible for the inhibition of growth of larval offspring.
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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".