Pharmacokinetic/Pharmacodynamic Evaluation of the Dipeptidyl Peptidase 1 Inhibitor Brensocatib for Non-cystic Fibrosis Bronchiectasis

James D Chalmers, Helen Usansky, Christopher M Rubino, Ariel Teper, Carlos Fernandez, Jun Zou, Kevin C Mange, James D Chalmers, Helen Usansky, Christopher M Rubino, Ariel Teper, Carlos Fernandez, Jun Zou, Kevin C Mange

Abstract

Background and objective: Brensocatib is an investigational, first-in-class, selective, and reversible dipeptidyl peptidase 1 inhibitor that blocks activation of neutrophil serine proteases (NSPs). The NSPs neutrophil elastase, cathepsin G, and proteinase 3 are believed to be central to the pathogenesis of several chronic inflammatory diseases, including bronchiectasis. In a phase II study, oral brensocatib 10 mg and 25 mg reduced sputum neutrophil elastase activity and prolonged the time to pulmonary exacerbation in patients with non-cystic fibrosis bronchiectasis (NCFBE). A population pharmacokinetic (PPK) model was developed to characterize brensocatib exposure, determine potential relationships between brensocatib exposure and efficacy and safety measures, and inform dose selection in clinical studies.

Methods: Pharmacokinetic (PK) data pooled from a phase I study of once-daily brensocatib (10, 25, and 40 mg) in healthy adults and a phase II study of once-daily brensocatib (10 mg and 25 mg) in adults with NCFBE were used to develop a PPK model and to evaluate potential covariate effects on brensocatib pharmacokinetics. PK-efficacy relationships for sputum neutrophil elastase below the level of quantification (BLQ) and reduction in pulmonary exacerbation and PK-safety relationships for adverse events of special interest (AESIs; periodontal disease, hyperkeratosis, and infections other than pulmonary infections) were evaluated based on model-predicted brensocatib exposure. A total of 1284 steady-state brensocatib concentrations from 225 individuals were included in the PPK data set; 241 patients with NCFBE from the phase II study were included in the pharmacodynamic (PD) population for the PK/PD analyses.

Results: The PPK model that best described the observed data consisted of two distributional compartments and linear clearance. Two significant covariates were found: age on volume of distribution and renal function on apparent oral clearance. PK-efficacy analysis revealed a threshold brensocatib exposure (area under the concentration-time curve) effect for attaining sputum neutrophil elastase BLQ and a strong relationship between sputum neutrophil elastase BLQ and reduction in pulmonary exacerbations. A PK-safety evaluation showed no noticeable trends between brensocatib exposure and the incidence of AESIs. Based on the predicted likelihood of clinical outcomes for sputum neutrophil elastase BLQ and pulmonary exacerbations, brensocatib doses of 10 mg and 25 mg once daily were selected for a phase III clinical trial in patients with NCFBE (ClinicalTrials.gov identifier: NCT04594369).

Conclusions: PPK results revealed that age and renal function have a moderate effect on brensocatib exposure. However, this finding does not warrant dose adjustments based on age or in those with mild or moderate renal impairment. The PK/PD evaluation demonstrated the clinically meaningful relationship between suppression of neutrophil elastase activity and reduction in exacerbations in brensocatib-treated patients with NCFBE, supporting further development of brensocatib for bronchiectasis.

Conflict of interest statement

Institute for Clinical Pharmacodynamics (ICPD), Inc. received funding from Insmed Incorporated to conduct the analyses and provide general consulting to Insmed Incorporated. Helen Usansky, Carlos Fernandez, Ariel Teper, Jun Zou, and Kevin C. Mange are employees of and shareholders in Insmed Incorporated. Christopher M. Rubino is an employee of ICPD, Inc. James D. Chalmers has received grants and personal fees from AstraZeneca, Boehringer Ingelheim, GlaxoSmithKline, Zambon, and Insmed Incorporated; a grant from Gilead; and personal fees from Novartis and Chiesi.

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Steady-state brensocatib plasma concentrations. Open circles are observed concentrations, normalized based on dose administered. Solid lines are LOESS smoothers through the data. When normalized by dose, brensocatib plasma concentrations were consistent across doses and between the two studies, except for slightly lower concentrations observed in the 10-mg group in the phase 1 study. LOESS locally weighted scatterplot smoothing
Fig. 2
Fig. 2
Final pooled pharmacokinetic model compared with observed data. The simulation-based diagnostics (pc-VPC plots) indicate that the final model adequately described both the central tendency and the variability in observed brensocatib concentrations over time in healthy participants (top) and in patients with NCFBE (bottom). Dots indicate observed concentrations; solid black lines indicate median observed concentrations; dashed black lines indicate 5th and 95th percentiles of the observed concentrations; blue-shaded regions indicate 90% CIs for the median and 5th and 95th percentiles from the simulations. NCFBE non-cystic fibrosis bronchiectasis, pc-VPC prediction-corrected visual predictive check
Fig. 3
Fig. 3
Time to pulmonary exacerbation by post-baseline sputum neutrophil elastase concentration. All patients (a) and brensocatib-treated patients (b) with neutrophil elastase BLQ post-baseline experienced significantly fewer exacerbations than those with detectable neutrophil elastase. BLQ below the level of quantification
Fig. 4
Fig. 4
Distribution of steady-state AUC by incidence of AESIs. No significant relationships between brensocatib exposure and the incidence of AESIs were evident. AESI adverse event of special interest, AUC area under the concentration-time curve

References

    1. Chalmers JD, Chang AB, Chotirmall SH, Dhar R, McShane PJ. Bronchiectasis. Nat Rev Dis Primers. 2018;4(1):45. doi: 10.1038/s41572-018-0042-3.
    1. Polverino E, Goeminne PC, McDonnell MJ, Aliberti S, Marshall SE, Loebinger MR, et al. European Respiratory Society guidelines for the management of adult bronchiectasis. Eur Respir J. 2017;50(3):1700629. doi: 10.1183/13993003.00629-2017.
    1. Goeminne P, Dupont L. Non-cystic fibrosis bronchiectasis: diagnosis and management in 21st century. Postgrad Med J. 2010;86(1018):493–501. doi: 10.1136/pgmj.2009.091041.
    1. Guan WJ, Gao YH, Xu G, Lin ZY, Tang Y, Li HM, et al. Inflammatory responses, spirometry, and quality of life in subjects with bronchiectasis exacerbations. Respir Care. 2015;60(8):1180–1189. doi: 10.4187/respcare.04004.
    1. Hagner M, Frey DL, Guerra M, Dittrich AS, Halls VS, Wege S, et al. New method for rapid and dynamic quantification of elastase activity on sputum neutrophils from patients with cystic fibrosis using flow cytometry. Eur Respir J. 2020;55(4):1902355. doi: 10.1183/13993003.02355-2019.
    1. Benarafa C. Regulation of neutrophil serine proteases by intracellular serpins. In: Geiger M, Wahlmèuller F, Furtmèuller M, editors. The serpin family: proteins with multiple functions in health and disease. Cham: Springer; 2015. pp. 59–76.
    1. Dubois AV, Gauthier A, Brea D, Varaigne F, Diot P, Gauthier F, et al. Influence of DNA on the activities and inhibition of neutrophil serine proteases in cystic fibrosis sputum. Am J Respir Cell Mol Biol. 2012;47(1):80–86. doi: 10.1165/rcmb.2011-0380OC.
    1. Sibila O, Perea L, Canto E, Shoemark A, Cassidy D, Smith AH, et al. Antimicrobial peptides, disease severity and exacerbations in bronchiectasis. Thorax. 2019;74(9):835–842. doi: 10.1136/thoraxjnl-2018-212895.
    1. Flume PA, Chalmers JD, Olivier KN. Advances in bronchiectasis: endotyping, genetics, microbiome, and disease heterogeneity. Lancet. 2018;392(10150):880–890. doi: 10.1016/S0140-6736(18)31767-7.
    1. Palmer R, Maenpaa J, Jauhiainen A, Larsson B, Mo J, Russell M, et al. Dipeptidyl peptidase 1 inhibitor AZD7986 induces a sustained, exposure-dependent reduction in neutrophil elastase activity in healthy subjects. Clin Pharmacol Ther. 2018;104(6):1155–1164. doi: 10.1002/cpt.1053.
    1. Chalmers JD, Haworth CS, Metersky ML, Loebinger MR, Blasi F, Sibila O, et al. Phase 2 trial of the DPP-1 inhibitor brensocatib in bronchiectasis. N Engl J Med. 2020;383(22):2127–2137. doi: 10.1056/NEJMoa2021713.
    1. Usansky H, et al. Safety, tolerability, and pharmacokinetic evaluation of single and multiple doses of the dipeptidyl peptidase 1 (DPP1) inhibitor brensocatib in healthy Japanese and White adults. In: Poster presented at virtual ATS 2021 conference.
    1. Usansky H, et al. Effects of food intake on the pharmacokinetics, safety, and tolerability of a single dose of the dipeptidyl peptidase 1 (DPP1) inhibitor brensocatib in healthy Japanese and White adults. In: Poster presented at virtual ATS 2021 conference.
    1. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31–41. doi: 10.1159/000180580.
    1. Akaike H. A new look at the statistical model identification. IEEE Trans Autom Control. 1974;19(6):716–723. doi: 10.1109/TAC.1974.1100705.
    1. Comets E, Brendel K, Mentre F. Computing normalised prediction distribution errors to evaluate nonlinear mixed-effect models: the npde add-on package for R. Comput Methods Programs Biomed. 2008;90(2):154–166. doi: 10.1016/j.cmpb.2007.12.002.
    1. Montgomery DC, Peck EA, Vining GG. Introduction to linear regression analysis. 5. New York: Wiley; 2012.
    1. Dosne AG, Bergstrand M, Harling K, Karlsson MO. Improving the estimation of parameter uncertainty distributions in nonlinear mixed effects models using sampling importance resampling. J Pharmacokinet Pharmacodyn. 2016;43(6):583–596. doi: 10.1007/s10928-016-9487-8.
    1. Dosne AG, Bergstrand M, Karlsson MO. An automated sampling importance resampling procedure for estimating parameter uncertainty. J Pharmacokinet Pharmacodyn. 2017;44(6):509–520. doi: 10.1007/s10928-017-9542-0.
    1. Bergstrand M, Hooker AC, Wallin JE, Karlsson MO. Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models. AAPS J. 2011;13(2):143–151. doi: 10.1208/s12248-011-9255-z.
    1. Hill AT, Haworth CS, Aliberti S, Barker A, Blasi F, Boersma W, et al. Pulmonary exacerbation in adults with bronchiectasis: a consensus definition for clinical research. Eur Respir J. 2017;49(6):1700051. doi: 10.1183/13993003.00051-2017.
    1. Chalmers JD, Smith MP, McHugh BJ, Doherty C, Govan JR, Hill AT. Short- and long-term antibiotic treatment reduces airway and systemic inflammation in non-cystic fibrosis bronchiectasis. Am J Respir Crit Care Med. 2012;186(7):657–665. doi: 10.1164/rccm.201203-0487OC.
    1. Anderson BJ, Holford NH. Mechanism-based concepts of size and maturity in pharmacokinetics. Annu Rev Pharmacol Toxicol. 2008;48:303–332. doi: 10.1146/annurev.pharmtox.48.113006.094708.
    1. Oriano M, Gramegna A, Terranova L, Sotgiu G, Sulaiman I, Ruggiero L, et al. Sputum neutrophil elastase associates with microbiota and Pseudomonas aeruginosa in bronchiectasis. Eur Respir J. 2020;56(4):2000769. doi: 10.1183/13993003.00769-2020.
    1. Chalmers JD, Moffitt KL, Suarez-Cuartin G, Sibila O, Finch S, Furrie E, et al. Neutrophil elastase activity is associated with exacerbations and lung function decline in bronchiectasis. Am J Respir Crit Care Med. 2017;195(10):1384–1393. doi: 10.1164/rccm.201605-1027OC.
    1. Shoemark A, Cant E, Carreto L, Smith A, Oriano M, Keir HR, et al. A point-of-care neutrophil elastase activity assay identifies bronchiectasis severity, airway infection and risk of exacerbation. Eur Respir J. 2019;53(6):1900303. doi: 10.1183/13993003.00303-2019.
    1. Keir HR, Fong CJ, Crichton ML, Barth P, Chevalier E, Brady G, et al. Personalised anti-inflammatory therapy for bronchiectasis and cystic fibrosis: selecting patients for controlled trials of neutrophil elastase inhibition. ERJ Open Res. 2019;5(1):00252-2018. doi: 10.1183/23120541.00252-2018.

Source: PubMed

3
S'abonner