Benzo(a)pyrene causes PRKAA1/2‐dependent ID2 loss in trophoblast stem cells
Bibliographic record
Abstract
Benzo(a)pyrene (BaP), a cigarette smoke component, is metabolized to diol esters (BPDE) that bind to DNA and form mutagenic BPDE-DNA adducts. BaP activates stress enzymes including stress-activated protein kinase/jun kinase (MAPK8/9) in embryos, AMP-activated protein kinase alpha1/2 subunits (PRKAA1/2) in somatic cells, and inhibits the proliferation of trophoblast cell lineages. The loss of transcription factor inhibitor of differentiation (ID)2 is required for the initial differentiation of mouse trophoblast stem cells (TSC) in implanting mouse embryo to produce the first placental hormone, chorionic sommatomammotropin (CSH)1. Here we demonstrate that BaP activates PRKAA1/2 and causes ID2 protein loss in TSC in a time- and dose-dependent manner. Although PRKAA1/2 was activated at low BaP doses, PRKAA1/2-dependent ID2 protein loss occurred at a dose that was similar to the threshold that results in a significant decrease in TSC accumulation and decreased fraction of proliferating TSC. This suggests a possible relationship between stress-induced declines in cell accumulation and stem cell differentiation when BaP levels are high. The threshold BaP dose that induces significant ID2 loss is in the range of a 2-3 pack/day habit, suggesting that this mechanism may be involved with implantation failure in smoking women.
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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".