Benralizumab attenuates blood and airway eosinophilia in severe asthmatics with inadequate response to anti-IL-5 neutralizing antibodies
Bibliographic record
Abstract
<b>Introduction:</b> Targeting the IL-5 ligand does not suppress airway eosinophilia in a subset of severe asthmatics. We investigated if targeting the IL-5 receptor with benralizumab would suppress airway eosinophilia leading to greater asthma control. <b>Methods:</b> Sixteen severe asthmatics (9 females, mean age 58±14 years) on daily high-dose corticosteroid therapy (14 prednisone-dependent, median dose 7.5 mg) with ACQ≥1.5 and sputum eosinophils>3% despite mepolizumab (n=13, 100 mg, subcutaneous) or Reslizumab (n=3, 3mg/kg, intravenous) for ≥6 months were recruited in a sequential placebo-controlled trial (NCT03470311). Clinical outcomes were assessed at baseline (V1), after two months of placebo treatment (V3), and after 5 injections of benralizumab (V10). <b>Results:</b> Benralizumab completely depleted sputum and blood eosinophils in all 16 patients, with clinical improvements in FEV<sub>1</sub>, and ACQ-5 (Fig1). However, the decrease in fractional exhaled nitric oxide, FeNO (p>0.05) was modest. Despite complete suppression of eosinophilia and mean decrease in asthma control questionnaire (ACQ-5) by 1.21 points, 37% (6/16) patients still documented ACQ >1.5. <b>Conclusions:</b> Targeting IL-5R with benralizumab suppresses sputum and blood eosinophilia that is uncontrolled by anti-IL5 neutralizing antibodies in severe asthmatics. Residual symptoms, associated with raised FeNO may indicate IL-4R activity.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".