Cargando…

Base and Covariate Population Pharmacokinetic Analyses of Dupilumab Using Phase 3 Data

Population pharmacokinetic base and covariate models were developed to study functional dupilumab for regulatory submissions, using data from healthy volunteers and patients with moderate‐to‐severe atopic dermatitis (AD) receiving intravenous or subcutaneous doses. Sixteen studies were pooled (N = 2...

Descripción completa

Detalles Bibliográficos
Autores principales: Kovalenko, Pavel, Davis, John D., Li, Meng, Rippley, Ronda, Ardeleanu, Marius, Shumel, Brad, Graham, Neil M.H., Pirozzi, Gianluca, Kamal, Mohamed A., DiCioccio, A. Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496533/
https://www.ncbi.nlm.nih.gov/pubmed/32096596
http://dx.doi.org/10.1002/cpdd.780
_version_ 1783583118719975424
author Kovalenko, Pavel
Davis, John D.
Li, Meng
Rippley, Ronda
Ardeleanu, Marius
Shumel, Brad
Graham, Neil M.H.
Pirozzi, Gianluca
Kamal, Mohamed A.
DiCioccio, A. Thomas
author_facet Kovalenko, Pavel
Davis, John D.
Li, Meng
Rippley, Ronda
Ardeleanu, Marius
Shumel, Brad
Graham, Neil M.H.
Pirozzi, Gianluca
Kamal, Mohamed A.
DiCioccio, A. Thomas
author_sort Kovalenko, Pavel
collection PubMed
description Population pharmacokinetic base and covariate models were developed to study functional dupilumab for regulatory submissions, using data from healthy volunteers and patients with moderate‐to‐severe atopic dermatitis (AD) receiving intravenous or subcutaneous doses. Sixteen studies were pooled (N = 2115; 202 healthy volunteers, 1913 AD patients). The best model was a 2‐compartment model with linear and Michaelis‐Menten elimination and 3 transit compartments describing absorption. A stepwise approach to model building, with some parameters estimated using mostly rich data and subsequently fixed, was used to avoid adverse effects of sparse data and a steep target‐mediated phase on pharmacokinetic parameters, which require rich sampling for proper estimation. Parameterization of models in terms of rates was a useful alternative to the parameterization in terms of clearances, allowing for a reduced number of covariates while providing accurate predictions. While antidrug antibodies, albumin, race, body mass index, and Eczema Area and Severity Index score were statistically significant covariates, only body weight had a notable effect on central volume, explaining interindividual variability. The model adequately described dupilumab pharmacokinetics in phase 3 trials.
format Online
Article
Text
id pubmed-7496533
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-74965332020-09-25 Base and Covariate Population Pharmacokinetic Analyses of Dupilumab Using Phase 3 Data Kovalenko, Pavel Davis, John D. Li, Meng Rippley, Ronda Ardeleanu, Marius Shumel, Brad Graham, Neil M.H. Pirozzi, Gianluca Kamal, Mohamed A. DiCioccio, A. Thomas Clin Pharmacol Drug Dev Articles Population pharmacokinetic base and covariate models were developed to study functional dupilumab for regulatory submissions, using data from healthy volunteers and patients with moderate‐to‐severe atopic dermatitis (AD) receiving intravenous or subcutaneous doses. Sixteen studies were pooled (N = 2115; 202 healthy volunteers, 1913 AD patients). The best model was a 2‐compartment model with linear and Michaelis‐Menten elimination and 3 transit compartments describing absorption. A stepwise approach to model building, with some parameters estimated using mostly rich data and subsequently fixed, was used to avoid adverse effects of sparse data and a steep target‐mediated phase on pharmacokinetic parameters, which require rich sampling for proper estimation. Parameterization of models in terms of rates was a useful alternative to the parameterization in terms of clearances, allowing for a reduced number of covariates while providing accurate predictions. While antidrug antibodies, albumin, race, body mass index, and Eczema Area and Severity Index score were statistically significant covariates, only body weight had a notable effect on central volume, explaining interindividual variability. The model adequately described dupilumab pharmacokinetics in phase 3 trials. John Wiley and Sons Inc. 2020-02-25 2020 /pmc/articles/PMC7496533/ /pubmed/32096596 http://dx.doi.org/10.1002/cpdd.780 Text en © 2020 Regeneron Pharmaceuticals, Inc. Clinical Pharmacology in Drug Development published by Wiley Periodicals, Inc. on behalf of American College of Clinical Pharmacology This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Articles
Kovalenko, Pavel
Davis, John D.
Li, Meng
Rippley, Ronda
Ardeleanu, Marius
Shumel, Brad
Graham, Neil M.H.
Pirozzi, Gianluca
Kamal, Mohamed A.
DiCioccio, A. Thomas
Base and Covariate Population Pharmacokinetic Analyses of Dupilumab Using Phase 3 Data
title Base and Covariate Population Pharmacokinetic Analyses of Dupilumab Using Phase 3 Data
title_full Base and Covariate Population Pharmacokinetic Analyses of Dupilumab Using Phase 3 Data
title_fullStr Base and Covariate Population Pharmacokinetic Analyses of Dupilumab Using Phase 3 Data
title_full_unstemmed Base and Covariate Population Pharmacokinetic Analyses of Dupilumab Using Phase 3 Data
title_short Base and Covariate Population Pharmacokinetic Analyses of Dupilumab Using Phase 3 Data
title_sort base and covariate population pharmacokinetic analyses of dupilumab using phase 3 data
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496533/
https://www.ncbi.nlm.nih.gov/pubmed/32096596
http://dx.doi.org/10.1002/cpdd.780
work_keys_str_mv AT kovalenkopavel baseandcovariatepopulationpharmacokineticanalysesofdupilumabusingphase3data
AT davisjohnd baseandcovariatepopulationpharmacokineticanalysesofdupilumabusingphase3data
AT limeng baseandcovariatepopulationpharmacokineticanalysesofdupilumabusingphase3data
AT rippleyronda baseandcovariatepopulationpharmacokineticanalysesofdupilumabusingphase3data
AT ardeleanumarius baseandcovariatepopulationpharmacokineticanalysesofdupilumabusingphase3data
AT shumelbrad baseandcovariatepopulationpharmacokineticanalysesofdupilumabusingphase3data
AT grahamneilmh baseandcovariatepopulationpharmacokineticanalysesofdupilumabusingphase3data
AT pirozzigianluca baseandcovariatepopulationpharmacokineticanalysesofdupilumabusingphase3data
AT kamalmohameda baseandcovariatepopulationpharmacokineticanalysesofdupilumabusingphase3data
AT dicioccioathomas baseandcovariatepopulationpharmacokineticanalysesofdupilumabusingphase3data