Lung Homing of Endothelial Progenitor Cells in Humans with Asthma after Allergen Challenge
Bibliographic record
Abstract
RATIONALE: Increased bronchial vascularity is a feature of asthma that can contribute to airflow obstruction and progressive decline in lung function. Angiogenesis is associated with the lung homing and in situ differentiation of endothelial progenitor cells (EPC) in mouse models of asthma. We have previously shown that inhibiting allergen (Ag)-induced recruitment of EPC in sensitized mice attenuated increased bronchial vascularity and development of airway hyperresponsiveness. OBJECTIVES: We investigated the accumulation of EPC and formation of new blood vessels in the lungs of human subjects with asthma after Ag inhalation challenge. METHODS: Consenting patients with mild atopic asthma (n = 13) with FEV1 ≥ 70%, methacholine PC20 ≤ 16 mg/ml, and a dual response to Ag were recruited. Sputum levels of EPC were determined by multigating flow cytometry, and lung vascularity was enumerated by immunostaining with von Willebrand factor. MEASUREMENTS AND MAIN RESULTS: Sputum levels of EPC were determined by multigating flow cytometry and lung vascularity was enumerated by immunostaining with von Willebrand factor. There was a significant increase in sputum EPC levels 24 hours post Ag but not diluent challenge. Similarly, a significant increase in the number and diameter of blood vessels in lung biopsy tissue 24 hours post Ag was observed. In vitro culture of EPC demonstrated the capacity of these cells to differentiate into mature endothelial cells and form tubelike vessel structures. In sputum supernatants, there was a significant increase in CXCR2 agonists, IL-8, and Gro-α 24 hours post Ag. Only Gro-α stimulated a significant EPC migrational response in vitro. CONCLUSIONS: Our data suggest that increased lung homing of EPC may promote bronchial vascularity in allergic asthmatic responses and that the recruitment of these progenitors maybe orchestrated by CXCR2 chemokines.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".