Prometryn induces apoptotic cell death through cell cycle arrest and oxidative DNA damage
Bibliographic record
Abstract
Prometryn is a slightly to moderately toxic herbicide belonging to the triazine family of herbicides, which are widely used in agriculture to control the growth of various weeds. Although many studies have shown that triazine herbicides have carcinogenic potential in humans, the cytotoxic effects of prometryn on human cells, and the mechanisms underlying these effects, are not yet fully understood. The lung is one of the most important organs where there is accumulation of environmental pollutants. The aim of this study was to determine the cytotoxic effects of prometryn on normal lung cells using the human bronchial epithelial cell line BEAS-2B. We found that treatment with high concentrations of prometryn arrested BEAS-2B cell growth in the S phase, while at low concentrations the cell cycle was not affected. Furthermore, we observed changes in the expression levels of cyclin-dependent kinase 2 (CDK2) and cyclin A that were consistent with the induction of cell cycle arrest in BEAS-2B cells exposed to prometryn. We also observed the increased formation of intracellular reactive oxygen species (ROS) in BEAS-2B cells, suggesting that this cell line is sensitive to prometryn. Finally, prometryn induced DNA double-strand breaks in BEAS-2B cells. In conclusion, prometryn affected key molecules involved in cell cycle regulation, induced oxidative stress, and induced DNA damage in BEAS-2B cells, which may shed light on the mechanism by which prometryn promotes lung cancer development.
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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) | 0.001 | 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".