Differential metabolism of 1,1-dichloroethylene in livers of A/J, CD-1, and C57BL/6 mice.
Bibliographic record
Abstract
1,1-Dichloroethylene (DCE) causes hepatocellular necrosis that preferentially affects centrilobular hepatocytes. The cytotoxic lesion has been attributed to DCE oxidation mediated mainly by CYP2E1, resulting in formation of reactive intermediates including the DCE epoxide. Here, we have tested the hypothesis that differing levels of hepatic CYP2E1 in A/J, CD-1, and C57BL/6 (B6) mice lead to differences in magnitudes of DCE metabolism and severities of hepatotoxicity. Our results showed that amounts of the CYP2E1 protein were higher in A/J mice than in B6 and CD-1 mice. Covalent binding of DCE to liver proteins was variable in the three strains of mice and was higher in A/J than in B6 mice; intermediate levels were found in CD-1 mice. Levels of a DCE epoxide-derived glutathione conjugate detected in liver cytosol correlated with those present in bile extracts and were significantly higher in A/J than in CD-1 and B6 mice. Immunohistochemical studies showed that formation of DCE epoxide-cysteine protein adducts was enhanced in the livers of A/J mice, compared with those produced in the livers of CD-1 and B6 mice. Similarly, centrilobular necrosis was more severe in the livers of A/J mice than in those in either CD-1 or B6 mice. Levels of glutathione were similar in the three strains of untreated mice and were diminished at comparable levels in all mice. These results indicated that high expression of hepatic CYP2E1 in A/J mice coincided with increased DCE metabolism and enhanced severity of hepatotoxicity, relative to those in CD-1 and B6 mice.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".