SHORT-TERM RESPONSE TO TRACHEAL OCCLUSION DURING PERINATAL LUNG DEVELOPMENT IN MICE
Bibliographic record
Abstract
Tracheal occlusion (TO) is known to stimulate lung growth. The aim of this research is to investigate early cellular responses to TO during perinatal growth in order to identify cellular targets in fetal mouse lungs that respond rapidly to surgically induced stretch. TO, or sham-TO, surgery was performed at 16.5 gestational days in fetal mice. Cellular activation, proliferation, and apoptosis were assessed on lung tissue sections harvested at various time points within the first 24 hours after the surgery. Lung tissue from unoperated fetuses and newborn mice served as controls to establish the pattern of cellular proliferation and apoptosis during normal lung development. When compared with sham-TO, TO induces a significantly higher expression of pulmonary c-Fos mRNA within 1 hour after surgery. When compared with sham-TO and unoperated controls, TO induces a rapid (1-hour) increase in proliferating cell nuclear antigen (PCNA) expression within differentiated epithelial airways. In contrast, a significant increase in the apoptotic index of mesenchymal cells from TO lungs was not observed before 24 hours when compared with sham-TO and controls. The data demonstrate that in vivo TO induces an immediate cellular response and that stretch both primarily and significantly accelerates epithelial cell proliferation and mesenchymal cell apoptosis. Moreover, we conclude that TO reduces the gestational time required to reach the natural peaks of proliferation and apoptosis associated with normal lung development, thus resulting in an apparent stimulation of lung growth.
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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 | 0.001 | 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".