Transitory metabolic disruption and cytotoxicity elicited by benzo<&lsqb;>a<&rsqb;>pyrene in two cell lines from rainbow trout liver
Bibliographic record
Abstract
Two cell lines, RTL-W1 and R1, from rainbow trout liver were used to investigate the effects of benzo[A]pyrene (BaP). BaP induced a catalytic measure of CYP1A, 7-ethoxyresorufin-O-deethylase (EROD) activity, in the rainbow trout liver cell line RTL-W1 but not in R1. Geldanamycin inhibited EROD induction by BaP. Potential BaP metabolites, BaP-7,8-dihydrodiol (BDP) and 6,12-BaP quinone (BQ) also induced EROD activity in RTL-W1. Very low BaP concentrations slightly stimulated cell proliferation in both cell lines. Higher BaP concentrations caused cytotoxicity in RTL-W1 but not in R1. Cytotoxicity was detected in a cell viability assay with 5-carboxyfluorescein diacetate acetoxymethyl ester, and as a decline in cell number. In both cell lines, BaP exposure impaired the reduction of the redox dye, alamar Blue (AB). After BaP removal, AB reduction recovered. Similar results were observed with BQ. As AB monitors metabolic activity, this novel phenomenon was termed transitory metabolic disruption. This decline in AB readings that was caused by BaP was ameliorated in RTL-W1 by alpha-naphthoflavone and geldanamycin, which suggests a role for CYP1A, and in R1 by indomethacin, which suggests involvement of prostaglandin-H-synthase. The significance of the response to BaP that is detected with AB and whether other PAHs cause it will be interesting future questions.
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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) | 0.001 | 0.001 |
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".