Transcriptional responses in newly-hatched Japanese medaka (Oryzias latipes) associated with developmental malformations following diluted bitumen exposure
Bibliographic record
Abstract
Japanese medaka embryos were exposed to water accommodated fractions (WAF) and chemically-enhanced WAF of two types of diluted bitumen (dilbit) at concentrations bracketing the EC50s for developmental malformations. Within these treatments, fish were grouped based on the presence or absence of developmental malformations (e.g., blue sac disease (BSD)), and analyzed for novel transcriptomic responses. Microarray analyses identified novel biomarkers and gene networks in dilbit-exposed malformed embryos that were not evident in dilbit-exposed fish without BSD or in controls without dilbit. The top differentially expressed genes (DEGs) included cytochrome P450 transcripts (cyp1) in fish from all dilbit treatments (malformed and non-malformed fish), as well as: fibroblast growth factor (fgf7), AHR repressor (ahrr), and squalene monooxygenase (sqle). In dilbit-exposed fish that did not develop BSD, the only reported individual DEG was eukaryotic translation initiation factor 3 subunit D (eif3d). However, a number of other pathways were enriched, including melatonin effects on circadian clock and the antioxidant response, estrogen and androgen metabolism as well as many receptor signaling pathways. Pathways associated with hedgehog, steroid biosynthesis, and Wnt signaling were significantly altered between low and high concentrations of dilbit exposure. An effect of the dispersant control on swim bladder development was observed at concentrations 10-fold higher than those used to disperse dilbit, and a number of gene targets unique to fish in this comparison were affected. This suggests that the toxic effects of dispersant may involve alternative mechanisms to dilbit, but cause similar phenotypic responses. This study identified novel biomarkers in fish exposed to dilbit, with or without visual malformations, that can be used to assess the risks of dilbit to aquatic ecosystem health.
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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) | 0.000 | 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) | 0.000 | 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".