Long term exposure to benzo[b]fluoranthene does not induce mutations in Mutamouse male germ cells
Bibliographic record
Abstract
Germ cell mutations can be inherited and lead to genetic disorders in the offspring. Thus, it is critical to identify environmental exposures that impact the germline. Polycyclic aromatic hydrocarbons (PAHs) are widespread combustion by-products found in food, tobacco smoke, and urban air. Benzo[b]fluoranthene (BbF) is a PAH that is classified as a possible human carcinogen. Studies using the transgenic mouse lacZ assay and duplex sequencing (DS), an error-corrected sequencing technology, have demonstrated that BbF robustly induces mutations in somatic tissues. However, the mutagenic effects of BbF on germ cells are unknown. We investigated whether long-term exposure to BbF induces mutations in male germ cells. Adult MutaMouse males were orally exposed to BbF in olive oil at doses of 0, 3.25, 6.25, 12.5, 25, or 50 mg/kg body weight per day (BW/day) for 90 days, or to 0, 1.56, 3.125, 6.25, 12.5, or 25 mg/kg BW/day for 180 days. Mutant frequencies were determined using the lacZ assay (n = 8 per group). Control and high dose groups at each time point were then sequenced to detect mutations using DS (n = 6 per group). Neither method detected significant increases in mutations following BbF exposure. Similarly, there was no increase in C:G > A:T transversions at either time point, the main mutation subtype induced by BbF in somatic tissues. These results suggest that BbF or its active metabolites are not present in germ cells at amounts sufficient to cause mutations, and/or DNA damage repair mechanisms in germ cells effectively repair BbF-induced damage.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".