Benralizumab Depletes IL‐5Rα‐Bearing Cells in Skin Lesions of Patients With Atopic Dermatitis
Bibliographic record
Abstract
BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory skin disease characterized by tissue eosinophilia and itch. We evaluated the effect of eosinophil depletion with benralizumab on markers of inflammation in the skin of patients with AD. METHODS: After a 4-week washout from oral anti-inflammatory medications 20 patients with moderate to severe AD completed a randomized, double-blind, placebo-controlled parallel-group study comparing 3 doses q4wk 30 mg subcutaneous benralizumab to placebo. Lesional and unaffected skin biopsies were collected before and after 28 and 65 days of treatment, respectively, for quantification of eosinophils and IL-5Rα-bearing cells in papillary dermis. Histological measurements of epidermal thickness, spongiosis, neutrophilic and lymphocytic infiltration, as well as clinical scores EASI, SCORAD, IGA, DLQI, and POEM were conducted throughout the study. Outcomes were compared between placebo and benralizumab treatment groups using a Mann-Whitney U-test. RESULTS: Benralizumab, compared to placebo, reduced IL-5Rα+ cells and MBP+ EG2+ eosinophils in lesions and unaffected skin (p < 0.05). In skin lesions, benralizumab reduced MBP+ eosinophils and basophils but had no effect on eosinophil progenitor (EoP; CD34+ IL-5Rα+) or mast cell numbers. There was no change in other skin histological measurements or IGA scoring of the observational lesion, nor improvement in clinical scores. CONCLUSION: Benralizumab treatment significantly inhibited accumulation of MBP+ eosinophils and basophils in lesional skin of patients with moderate to severe AD. However, a lack of improvement in histological and clinical outcomes suggests that other inflammatory pathways are central to the pathobiology of severe atopic dermatitis. TRIAL REGISTRATION: (ClincialTrials.gov number, NCT03563066).
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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) | 0.000 | 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 | 0.000 |
| 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".