Oxygen Disrupts Human Fetal Lung Mesenchymal Cells. Implications for Bronchopulmonary Dysplasia
Bibliographic record
Abstract
Abstract Exogenous mesenchymal stromal cells (MSCs) ameliorate experimental bronchopulmonary dysplasia. Moreover, data from term-born animal models and human tracheal aspirate–derived cells suggest altered mesenchymal signaling in the pathophysiology of neonatal lung disease. We hypothesized that hyperoxia, a factor contributing to the development of bronchopulmonary dysplasia, perturbs human lung–resident MSC function. Mesenchymal cells were isolated from human fetal lung tissue (16–18 wk of gestation), characterized and cultured in conditions resembling either intrauterine (5% O2) or extrauterine (21% and 60% O2) atmospheres. Secretome data were compared with MSCs obtained from term umbilical cord tissues. The human fetal lung mesenchyme almost exclusively contains CD146pos. MSCs expressing SOX-2 and OCT-4, which secrete elastin, fibroblast growth factors 7 and 10, vascular endothelial growth factor, angiogenin, and other lung cell–protecting/–maturing proteins. Exposure to extrauterine atmospheres in vitro leads to excessive proliferation, reduced colony-forming ability, alterations in the cell’s surface marker profile, decreased elastin deposition, and impaired secretion of factors important for lung growth. Conversely, umbilical cord–derived MSCs abundantly secreted factors that impaired lung MSCs are unable to produce. Oxygen-impaired human fetal lung MSC function may contribute to disrupted repair capacity and arrested lung growth. Exogenous MSCs may act by triggering the signaling pathways lost by impaired endogenous lung mesenchymal cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".