Fetal Tracheal Occlusion Correlates with Normalized YAP Expression and Alveolar Epithelial Differentiation in Congenital Diaphragmatic Hernia
Bibliographic record
Abstract
Congenital diaphragmatic hernia (CDH) is characterized by incomplete closure of the diaphragm. Although the ensuing compression to the fetal lung causes lung hypoplasia, specific cellular phenotypes and developmental signaling defects in the alveolar epithelium in CDH are not fully understood. Employing lung samples from human CDH, a surgical lamb model, and a nitrofen rat model, we investigated whether lung compression impairs alveolar epithelial differentiation and Yes-associated protein (YAP)-mediated mechanosensing. We showed that CDH in humans and lambs caused defective alveolar epithelial differentiation manifested by more alveolar epithelial type II (ATII) cells, fewer ATI cells, and the emergence of cells coexpressing ATI and ATII markers. Associated with these alveolar epithelial defects, we found a decrease in the level and nuclear localization of YAP. Reduced YAP and abnormal distal lung development were evident as early as 21 weeks of gestation in human CDH. In addition, rat fetuses with CDH also showed diminished nuclear YAP and more abundant ATII cells. In contrast, the littermates without the hernia had no such alveolar phenotypes. Furthermore, fetal tracheal occlusion in the surgical lamb model of CDH fully normalized nuclear YAP and rescued alveolar epithelial defects in a gestational age-dependent manner. Taken together, our findings across species indicate that lung compression in CDH is sufficient to disrupt alveolar epithelial differentiation and impair YAP signaling. Tracheal occlusion can restore nuclear YAP and rescue the alveolar defects in CDH, depending on the timing and the duration of this prenatal surgical intervention.
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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".