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A Randomized, Placebo‐Controlled Trial Evaluating Effects of Lebrikizumab on Airway Eosinophilic Inflammation and Remodeling in Uncontrolled Asthma (CLAVIER)

2020· article· en· W3016331596 on OpenAlexaff
Cary D. Austin, Melissa Gonzalez Edick, Ronald E. Ferrando, Margaret Solon, Miriam Baca, Kathryn Mesh, Peter Bradding, Gail M. Gauvreau, Kaharu Sumino, Mark Fitzgerald, E. Israel, Leif Bjermer, Arnaud Bourdin, Joseph R. Arron, David F. Choy, Julie Olsson, Francis D. Abreu, Monet D. Howard, Kit D. Wong, Fang Cai, Kun Peng, Wendy S. Putman, Cécile Holweg, John G. Matthews, Monica Kraft, Prescott G. Woodruff

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of British ColumbiaHealth Sciences CentreMcMaster University Medical Centre
Fundersnot available
KeywordsMedicineAsthmaExhaled nitric oxidePlaceboEosinophilAirwayInflammationInternal medicineEosinophilicGastroenterologyFibrosisPathologySpirometrySurgery

Abstract

fetched live from OpenAlex

Background The anti–interleukin 13 (IL‐13) monoclonal antibody lebrikizumab improves lung function in patients with moderate‐severe uncontrolled asthma, but its effects on airway inflammation and remodeling are unknown. CLAVIER was designed to assess lebrikizumab’s effect on eosinophilic inflammation and remodeling. Methods We performed bronchoscopy on patients with uncontrolled asthma before and after 12 weeks of randomised double‐masked treatment with lebrikizumab (n=31) or placebo (n=33). The primary endpoint was relative change in airway subepithelial eosinophils per mm 2 of basement membrane (cells/mm 2 ). Pre‐specified secondary and exploratory outcomes included change in IL‐13–associated biomarkers and measures of airway remodeling. Findings There was a baseline imbalance in tissue eosinophils and high variability between treatment groups. There was no discernible change in adjusted mean subepithelial eosinophils/mm 2 in response to lebrikizumab (95% CI, −82·5%, 97·5%). As previously observed, FEV 1 increased after lebrikizumab treatment. Moreover, subepithelial collagen thickness decreased 21·5% after lebrikizumab treatment (95% CI, −32·9%, −10·2%), while fractional exhaled nitric oxide, CCL26 , and SERPINB2 mRNA expression in bronchial tissues also diminished. Lebrikizumab was well tolerated, with a safety profile consistent with other lebrikizumab asthma studies. Interpretation We did not observe reduced tissue eosinophil numbers in association with lebrikizumab treatment. However, in pre‐specified secondary analyses, lebrikizumab treatment was associated with diminished degree of subepithelial fibrosis, a feature of airway remodeling, as well as improved lung function and reduced key pharmacodynamic biomarkers in bronchial tissues. These results reinforce the importance of IL‐13 in airway pathobiology and suggest that neutralization of IL‐13 may reduce asthmatic airway remodeling. Clinical trial registration NCT02099656 Support or Funding Information The study was sponsored by F. Hoffmann‐La Roche Ltd.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.020
GPT teacher head0.291
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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