Urokinase plasminogen activator receptor attenuates allergen-induced eosinophil migration and airway hyperresponsiveness
Bibliographic record
Abstract
RATIONALE: The urokinase plasminogen activator receptor (uPAR) is a membrane-bound protein that can contribute to the activation and mobilization of leukocytes and is present at increased levels in asthmatics. However, its role in allergic asthma remains poorly understood. METHODS: We used multiple mouse strains and different models of allergic airway disease to study the function of uPAR in the pathogenesis of this disease. MEASUREMENTS AND MAIN RESULTS: Plaur, the gene encoding uPAR, was rapidly induced following allergic sensitization through the airway and again following subsequent allergen challenge. Plaur-deficient mice displayed both increased numbers of eosinophils and heightened airway hyperresponsiveness (AHR) in multiple models of allergic asthma. Mice selectively lacking Plaur in eosinophils also had more robust eosinophilia than did wild-type (WT) mice, and eosinophils lacking Plaur displayed increased activity in an ex vivo assay of chemokine-dependent migration. However, those mice did not have increased AHR compared with WT mice. Conversely, although mice selectively lacking Plaur in lung epithelial cells did not have increased inflammation compared with WT mice, they displayed heightened AHR. CONCLUSIONS: These findings suggest that uPAR controls both airway inflammation and AHR, but through distinct mechanisms. Targeting uPAR might have therapeutic potential for treating inflammation and AHR in asthma.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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".