Prolastin aerosol therapy and sputum taurine in cystic fibrosis.
Bibliographic record
Abstract
BACKGROUND: Neutrophil elastase in the cystic fibrosis airways inhibits opsonophagocytosis and induces the expression of interleukin-8, a neutrophil chemoattractant. Prolastin is a therapeutic preparation of alpha-1 proteinase inhibitor (alpha1,-PI), a neutrophil elastase inhibitor. The objective of this study was to determine the effects of Prolastin aerosol therapy on airway inflammation in cystic fibrosis. METHODS: The primary endpoint of this study was sputum taurine, an amino-acid present in high concentrations in neutrophils. Sputum taurine correlates with respiratory exacerbations of cystic fibrosis. Seventeen patients with cystic fibrosis were each assigned to three sequential 10-day periods including first, aerosol therapy of 5 ml saline solution bid; second, aerosol therapy of 250 mg Prolastin bid; third, no aerosol therapy. On days 8, 9 and 10 of each period, early morning sputum was collected for the quantification of alpha1-PI, neutrophil elastase activity, IL-8 and taurine. RESULTS: During Prolastin therapy, a 3-fold increase in sputum alpha1-PI was observed (P = 0.002). Baseline values of sputum alpha1-PI correlated with the values obtained after Prolastin aerosol (R = 0.77, P < 0.01). Sputum neutrophil elastase activity remained unchanged but taurine decreased after Prolastin therapy (during therapy P = 0.052, after therapy P = 0.026). Prolastin aerosol therapy had no adverse effect on pulmonary function. CONCLUSIONS: Aerosol therapy with Prolastin in patients with cystic fibrosis leads to a progressive decrease in sputum taurine. This suggests that even in the absence of sustained elastase inhibition, Prolastin aerosol therapy may have a beneficial effect on airway inflammation in patients with cystic fibrosis.
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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) | 0.001 | 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 | 0.000 |
| 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".