The Role of Mesenchymal Stromal Cells in the Treatment of Bronchopulmonary Dysplasia: A Multi‐Prong Approach for a Heterogeneous Disease
Bibliographic record
Abstract
Acute lung injury can be a devastating ailment leading to death in patients of all ages. In preterm neonates, lung injury is unique and unlike what is seen in pediatric and adult populations. The physiology behind the acute lung injury endured in developing lungs and the chronicity of harmful stimuli vastly distinguish how bronchopulmonary dysplasia (BPD), the most common complication of prematurity, settles in as a chronic lung disease with lifetime sequelae. Despite being recognized for over 50 years, BPD continues to puzzle the world of neonatology with a shifting phenotype that parallels improvement in neonatal care. The improved understanding of BPD's far-reaching and long-term consequences on the lung and other organs highlights the need to find effective interventions, making it a priority of neonatal research. In this review, we provide an overview of BPD and its associated consequences. Then, we examine the biological premises for mesenchymal stromal cells as a promising therapy, reviewing current translational efforts, challenges, and future directions toward bringing mesenchymal stromal cell therapy to BPD patients.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".