Exploring PI3Kδ Molecular Pathways in Stable COPD and Following an Acute Exacerbation, Two Randomized Controlled Trials
Bibliographic record
Abstract
Malcolm Begg,1 J Nicole Hamblin,1 Emily Jarvis,2 Glyn Bradley,3 Stephen Mark,4 David Michalovich,5 Mark Lennon,6 Hannah E Wajdner,5 Augustin Amour,5 Robert Wilson,1 Ken Saunders,5 Rikako Tanaka,7 Saki Arai,7 Teresa Tang,8 Cedric Van Holsbeke,9 Jan De Backer,9 Wim Vos,9 Ingrid L Titlestad,10 J Mark FitzGerald,11 Kieran Killian,12 Jean Bourbeau,13 Claude Poirier,14 François Maltais,15 Anthony Cahn,1 Edith M Hessel1 1Refractory Respiratory Inflammation Discovery Performance Unit, GlaxoSmithKline, Stevenage, UK; 2Biostatistics, GlaxoSmithKline R&D, Stevenage, UK; 3Computational Biology, Medicinal Science and Technology, GlaxoSmithKline, Stevenage, UK; 4Study Management, Clinical Development, GlaxoSmithKline, Mississauga, ON, Canada; 5Adaptive Immunity Research Unit, GlaxoSmithKline, Stevenage, UK; 6Nonclinical and Translational Statistics, GlaxoSmithKline, Stevenage, UK; 7Data Management & Strategy, Clinical Development, GlaxoSmithKline, Tokyo, Japan; 8Pharma Safety, Clinical Development, GlaxoSmithKline, Brentford, Middlesex, UK; 9FLUIDDA nv, Kontich, 2550, Belgium; 10Department of Respiratory Medicine, Odense University Hospital and University of Southern Denmark, Odense, Denmark; 11Centre for Heart and Lung Health, University of British Columbia, Vancouver, BC, Canada; 12Cardiorespiratory Research Laboratory, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada; 13Department of Medicine, Division of Experimental Medicine, McGill University, Montreal, QC, Canada; 14Department of Medicine, Respiratory Medicine Division, University of Montreal, Montreal, QC, Canada; 15Institut Universitaire de Cardiologie et de Pneumologie de Québe, Université Laval, Quebec City, QC, CanadaCorrespondence: Malcolm BeggRefractory Respiratory Inflammation Discovery Performance Unit, GlaxoSmithKline, Stevenage, Herts, UKEmail malcolm.5.begg@gsk.comBackground: Inhibition of phosphoinositide 3-kinase δ (PI3Kδ) exerts corrective effects on the dysregulated migration characteristics of neutrophils isolated from patients with chronic obstructive pulmonary disease (COPD).Objective: To develop novel, induced sputum endpoints to demonstrate changes in neutrophil phenotype in the lung by administering nemiralisib, a potent and selective inhaled PI3Kδ inhibitor, to patients with stable COPD or patients with acute exacerbation (AE) of COPD.Methods: In two randomized, double-blind, placebo-controlled clinical trials patients with A) stable COPD (N=28, randomized 3:1) or B) AECOPD (N=44, randomized 1:1) received treatment with inhaled nemiralisib (1mg). Endpoints included induced sputum at various time points before and during treatment for the measurement of transcriptomics (primary endpoint), inflammatory mediators, functional respiratory imaging (FRI), and spirometry.Results: In stable COPD patients, the use of nemiralisib was associated with alterations in sputum neutrophil transcriptomics suggestive of an improvement in migration phenotype; however, the same nemiralisib-evoked effects were not observed in AECOPD. Inhibition of sputum inflammatory mediators was also observed in stable but not AECOPD patients. In contrast, a placebo-corrected improvement in forced expiratory volume in 1 sec of 136 mL (95% Credible Intervals − 46, 315mL) with a probability that the true treatment ratio was > 0% (Pr(θ> 0)) of 93% was observed in AECOPD. However, FRI endpoints remained unchanged.Conclusion: We provide evidence for nemiralisib-evoked changes in neutrophil migration phenotype in stable COPD but not AECOPD, despite improving lung function in the latter group. We conclude that induced sputum can be used for measuring evidence of alteration of neutrophil phenotype in stable patients, and our study provides a data set of the sputum transcriptomic changes during recovery from AECOPD.Keywords: nemiralisib, sputum, transcriptomics, COPD exacerbations, PI3Kdelta
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.009 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".