The role of selected cytochrome P450 enzymes on the bioactivation of aflatoxin B1 by duck liver microsomes
Bibliographic record
Abstract
A study was conducted to determine the cytochrome (CYP) P450 enzymes responsible for the bioactivation of aflatoxin B1 (AFB1) into its epoxide form (AFBO) in duck liver microsomes. Six male and six female 6-week-old Pekin ducks were used. The biochemical toxicology strategies applied included the use of selective inhibitors, prototype substrate activity for specific human P450s, correlation between aflatoxin bioactivation and enzymatic activity of prototype substrates, and the expression of specific CYP450 enzymes using antibodies against human CYP450s. Enzymatic activity was detected for the duck orthologues CYP1A1/2, CYP2A6 and CYP3A4 but not for the CYP2D6 orthologue. Immunoreactive proteins for CYP1A1, CYP2A6 and CYP3A4 were also detected. Inhibition studies suggested that the duck turkey CYP2A6 orthologue and, to a lesser extent, the CYP1A1 orthologue are involved in the bioactivation of AFB1. Correlation studies, however, suggest that CYP3A4, CYP2A6 and CYP1A1/2 are all involved in AFBO formation. The finding that four CYP enzymes may be involved in AFB1 bioactivation in ducks could explain the high sensitivity of this species to AFB1. Further studies are needed to fully elucidate the phase I hepatic metabolism of AFB1 in ducks, the only poultry species that develops hepatic cancer from AFB1 exposure.
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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".