The effect of tracheal occlusion in congenital diaphragmatic hernia in the nitrofen rat lung explant model
Bibliographic record
Abstract
Abstract Purpose: Here, we establish a tracheal occlusion (TO) model with rat lung explants in nitrofen-induced pulmonary hypoplasia in congenital diaphragmatic hernia (CDH). Methods: We extracted lungs from rats on embryonic day 18. We mimicked TO in the lung explants by tying the trachea. We assessed lung weight, morphometry, and abundance of Ki-67, Active caspase-3, and Prosurfactant Protein C (proSP-C) with immunofluorescence. Results: Lung weight was higher in TO+ than TO– on day 1. Abundance of Ki-67 was higher in TO+ than TO– (0.15 vs. 0.32, p=0.009 for day 1, 0.07 vs. 0.17, p=0.004 for day 2, 0.07 vs. 0.12, p=0.044 for day 3), and Active caspase-3 was higher in TO+ than TO– on day 2 and day 3 (0.04 vs. 0.03 p=0.669 for day 1, 0.03 vs. 0.13 p<0.001 for day 2, 0.04 vs. 0.17 p=0.008 for day3). However, proSP-C protein abundance was lower in TO+ than TO– (67.9 vs. 59.1 p=0.033 for day 1, 73.5 vs. 51.6 p=0.038 for day 2, 83.1 vs. 56.4 p=0.009 for day 3). Conclusions: The TO model in lung explants mimics the outcomes of current surgical models of TO and further studies can reveal the cellular and molecular effects of TO in CDH lungs.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".