Assessment of Xenobiotic Biotransformation Including Reactive Oxygen Species Generation in the Embryo Using Benzene as an Example
Bibliographic record
Abstract
Quantification of embryonic metabolic capacity is an important tool in developmental toxicology research. Bioactivation of xenobiotics into reactive intermediates often contributes to embryo toxicity; thus, identification and quantification of these toxic metabolites is essential to gain further understanding of developmental toxicity. This chapter uses the environmental chemical benzene as a model xenobiotic to describe the detection of both metabolites and reactive oxygen species (ROS) in fetal liver. Briefly, mice are bred and the presence of a vaginal plug in a female mouse indicates gestational day 1. On the desired gestational day, pregnant dams are exposed to benzene followed by sacrifice at the desired time-point after exposure. Using gas chromatography coupled to mass spectrometry, the detection of benzene metabolites can be achieved. Additionally, we describe the measurement of ROS by flow cytometry using the fluorescent probe 5-(and-6)-chloromethyl-2',7'-dichlorofluorescein diacetate, which readily diffuses into cells and, upon oxidation by any ROS, is converted to the highly fluorescent, negatively charged carboxydichlorofluorescein, which remains trapped within the cells.
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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".