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Record W2159845243 · doi:10.1002/ijc.22502

<i>In vivo</i> mutagenicity of vinyl carbamate and ethyl carbamate in lung and small intestine of F<sub>1</sub> (Big Blue® × A/J) transgenic mice

2007· article· en· W2159845243 on OpenAlexaff
Lya G. Soeteman‐Hernández, Poh‐Gek Forkert

Bibliographic record

VenueInternational Journal of Cancer · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCarcinogens and Genotoxicity Assessment
Canadian institutionsQueen's University
Fundersnot available
KeywordsEthyl carbamateIn vivoLungMolecular biologyChemistryMetaboliteBiologyBiochemistryInternal medicineMedicineGenetics

Abstract

fetched live from OpenAlex

Vinyl carbamate (VC) is a metabolite of ethyl carbamate (EC), a chemical found in alcoholic beverages and fermented foods. We undertook this study to: (i) evaluate the ability of both EC and VC to induce gene mutations in lung and various extrapulmonary tissues, and (ii) identify the type of mutations induced by the two compounds in various tissues. F1 (Big Blue x A/J) transgenic mice harboring the lambda cII transgene were used for identification and quantitation of mutations in vivo. Time-course studies in lung showed a plateau in mutant frequency (MF) 4 weeks after VC treatment, at which time mutations were fixed and were about 4-fold higher than in controls. Dose-dependent increases in MF were detected in the lung and small intestine (SI) after treatment with 15-75 mg/kg, i.p., of VC. VC was mutagenic in the lung and SI at doses of 45, 60 and 75 mg/kg. Sequencing of the cII gene in lung and SI showed that VC induced mainly A:T-->G:C transitions and A:T-->T:A transversions. EC was also mutagenic in the lung at 500 and 1,000 mg/kg and elicited mainly G:C-->A:T transitions. A VC dose of 60 mg/kg elicited a similar level of MF as an EC dose of 1,000 mg/kg. At 4 weeks after treatment, neither VC nor EC elicited mutations in the colon, bone marrow or kidney. These results demonstrated that VC and EC are mutagenic in vivo and affirm that VC is a more potent mutagen than EC.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.278
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2007
Admission routes1
Has abstractyes

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