Benzo(a)pyrene causes PRKAA1/2‐dependent ID2 loss in trophoblast stem cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 it