Teratogenic Effects of Mild Heat Stress during Mouse Embryogenesis: Effect of<i>Trp53</i>
Bibliographic record
Abstract
Hyperthermia can be teratogenic in fetal mice exposed during organogenesis, an effect considered to be due to heat-induced apoptosis of cells in the developing organs. We exposed pregnant mice carrying Trp53(+/+), Trp53(+/-) and Trp53(-/-) fetuses to mild whole-body hyperthermia that raised their core temperature to 40.5 degrees C for 60 min on either day 10 or 11 of gestation. On day 18 of gestation, the fetuses were removed from control and hyperthermia-treated mice and genotyped, and tail length was measured. Limb digits were examined for abnormalities. Tail length in unheated control fetuses was influenced by Trp53 status. A complete lack of functional Trp53 (Trp53(-/-)) but not partial lack of function (Trp53(+/-)) resulted in shorter tails compared to Trp53(+/+) fetuses, indicating a role for Trp53 in the regulation of tail lengthening in mouse fetuses. In all three genotypes, hyperthermia on gestation day 10 resulted in tails shorter than unheated controls, and hyperthermia on day 11 resulted in tails longer than controls. There was no effect on limb digit abnormalities. The data suggest that Trp53-dependent or independent apoptosis may not be directly involved in heat-induced teratogenesis, but that the primary teratogenic effect of heat results from the disruption of another tail length-regulating process that is independent of Trp53. However, the nature of the teratogenic outcome of that disruption depends on the gestation time. The ability of Trp53 to additionally regulate the tail lengthening process was also sensitive to the effects of heat, but that sensitivity again depended on the time of the heat stress during gestation.
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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".