Strain-Related Differences in Bioactivation of Vinyl Carbamate and Formation of DNA Adducts in Lungs of A/J, CD-1, and C57BL/6 Mice
Bibliographic record
Abstract
Inbred strains of mice exhibit differing susceptibilities to formation of lung tumors induced by procarcinogens including ethyl carbamate (EC) and vinyl carbamate (VC). Strain A/J mice are susceptible, whereas C57BL/6 mice are resistant to lung tumor development. In this study, we tested the hypothesis that differential susceptibilities of A/J, CD-1, and C57BL/6 mice to lung tumor development are associated, in part, with their capacities for VC bioactivation and with the extents of DNA adduct formation. Previous studies have shown that the P450 isozyme CYP2E1 and microsomal carboxylesterases are involved in activation and detoxication of VC, respectively. Bioactivation capacity, as estimated by ratios of p-nitrophenol hydroxylase, a CYP2E1 catalytic marker, to carboxylesterase activities, was greater in control A/J (1.32 +/- 0.18 x 10(-6)) and CD-1 (1.25 +/- 0.29 x 10(-6)) mice than in control C57BL/6 (0.69 +/- 0.12 x 10(-6)) mice. The ratios were reduced in all three strains of mice treated with VC. Covalent binding of [(14)C-carbonyl]-VC to lung proteins was time- and dose-dependent, and was significantly higher in A/J and CD-1 mice than in C57BL/6 mice. Experiments using (32)P-postlabeling/thin-layer chromatography showed formation of the DNA adducts 1,N:(6)-ethenodeoxyadenosine and 3,N:(4)-ethenodeoxycytidine in lungs of mice treated with VC. The DNA adducts were detected at 30 min after treatment, peaked at 60 min, and declined thereafter. Levels of 1,N:(6)-ethenodeoxyadenosine and 3,N:(4)-ethenodeoxycytidine were about 70% higher in A/J and CD-1 mice than in C57BL/6 mice. These results indicated that formation of VC metabolites in these murine strains is linked to their bioactivation capacities, and suggested that this attribute may confer differing susceptibilities to lung tumor development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".