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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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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 |
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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 |
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