Effects of phenytoin on <i>Satb2</i> and <i>Hoxa2</i> gene expressions in mouse embryonic craniofacial tissueThis paper is one of a selection of papers published in this special issue entitled “Second International Symposium on Recent Advances in Basic, Clinical, and Social Medicine” and has undergone the Journal's usual peer review process.
Bibliographic record
Abstract
Cleft lip and cleft palate are common congenital craniofacial birth defects in humans. Phenytoin (PHT) is a risk factor of cleft palate formation; however, the molecular mechanisms by which phenytoin exerts its teratogenic effects resulting in cleft palate remain unknown. The Satb2 gene mutation is associated with cleft palate. Satb2-deficient mice exhibit cleft palate deformity and an up-regulation of Hoxa2 in the fronto-nasal region. In this study, phenytoin was administered intraperitoneally to pregnant C57BL/6 mice on the 10th day of gestation. Real-time PCR results showed that the expressions of Satb2 and Hoxa2 in craniofacial tissues of mouse embryos were obviously different at different time points. The Satb2 gene was down-regulated and the Hoxa2 gene was up-regulated in phenytoin-treated mouse embryonic craniofacial tissue. We conclude that phenytoin may regulate the expression of these two genes in C57BL/6 mice and it may also be involved in the formation of cleft palate.
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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".