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Population Pharmacokinetic and Exposure–Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease

BACKGROUND: Finerenone (BAY 94-8862) is a potent non-steroidal, selective mineralocorticoid receptor antagonist being developed for the treatment of patients with type 2 diabetes and chronic kidney disease. METHODS: We present the population pharmacokinetics and pharmacodynamics (PD) analysis for ef...

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Autores principales: Snelder, Nelleke, Heinig, Roland, Drenth, Henk-Jan, Joseph, Amer, Kolkhof, Peter, Lippert, Jörg, Garmann, Dirk, Ploeger, Bart, Eissing, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051931/
https://www.ncbi.nlm.nih.gov/pubmed/31583611
http://dx.doi.org/10.1007/s40262-019-00820-x
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author Snelder, Nelleke
Heinig, Roland
Drenth, Henk-Jan
Joseph, Amer
Kolkhof, Peter
Lippert, Jörg
Garmann, Dirk
Ploeger, Bart
Eissing, Thomas
author_facet Snelder, Nelleke
Heinig, Roland
Drenth, Henk-Jan
Joseph, Amer
Kolkhof, Peter
Lippert, Jörg
Garmann, Dirk
Ploeger, Bart
Eissing, Thomas
author_sort Snelder, Nelleke
collection PubMed
description BACKGROUND: Finerenone (BAY 94-8862) is a potent non-steroidal, selective mineralocorticoid receptor antagonist being developed for the treatment of patients with type 2 diabetes and chronic kidney disease. METHODS: We present the population pharmacokinetics and pharmacodynamics (PD) analysis for efficacy and safety markers based on data from two clinical phase IIb studies: ARTS-DN (NCT01874431) and ARTS-DN Japan (NCT01968668). RESULTS: The pharmacokinetics of finerenone were adequately characterized, with estimated glomerular filtration rate (eGFR) and body weight as influencing covariates. The area under the plasma concentration–time curve in Japanese patients did not differ from that in the global population, and the investigated pharmacokinetics were dose- and time-linear. In addition, the pharmacokinetic model provided robust individual exposure estimates to study exposure–response. The concentration–effect relationship over time for the efficacy marker urinary albumin:creatinine ratio (UACR) was well-characterized by a maximum effect model indicating saturation at high exposures. For the safety markers, a log-linear model and a power model were identified for serum potassium concentration and eGFR, respectively, indicating attenuation of effect gains at high exposures. There was no apparent ethnic effect on the investigated pharmacokinetic–pharmacodynamic relationships. The model-predicted times to reach the full (99%) steady-state drug effect on UACR, serum potassium, and eGFR were 138, 20, and 85 days, respectively, while the pharmacokinetic half-life was 2–3 h and steady state was achieved after 2 days, indicating timescale separation. CONCLUSION: Our dose–exposure–response modeling and simulation indicates effects were largely saturated at finerenone 20 mg and doses of both 10 and 20 mg once daily appear safe and efficacious at reducing albuminuria. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40262-019-00820-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-70519312020-03-16 Population Pharmacokinetic and Exposure–Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease Snelder, Nelleke Heinig, Roland Drenth, Henk-Jan Joseph, Amer Kolkhof, Peter Lippert, Jörg Garmann, Dirk Ploeger, Bart Eissing, Thomas Clin Pharmacokinet Original Research Article BACKGROUND: Finerenone (BAY 94-8862) is a potent non-steroidal, selective mineralocorticoid receptor antagonist being developed for the treatment of patients with type 2 diabetes and chronic kidney disease. METHODS: We present the population pharmacokinetics and pharmacodynamics (PD) analysis for efficacy and safety markers based on data from two clinical phase IIb studies: ARTS-DN (NCT01874431) and ARTS-DN Japan (NCT01968668). RESULTS: The pharmacokinetics of finerenone were adequately characterized, with estimated glomerular filtration rate (eGFR) and body weight as influencing covariates. The area under the plasma concentration–time curve in Japanese patients did not differ from that in the global population, and the investigated pharmacokinetics were dose- and time-linear. In addition, the pharmacokinetic model provided robust individual exposure estimates to study exposure–response. The concentration–effect relationship over time for the efficacy marker urinary albumin:creatinine ratio (UACR) was well-characterized by a maximum effect model indicating saturation at high exposures. For the safety markers, a log-linear model and a power model were identified for serum potassium concentration and eGFR, respectively, indicating attenuation of effect gains at high exposures. There was no apparent ethnic effect on the investigated pharmacokinetic–pharmacodynamic relationships. The model-predicted times to reach the full (99%) steady-state drug effect on UACR, serum potassium, and eGFR were 138, 20, and 85 days, respectively, while the pharmacokinetic half-life was 2–3 h and steady state was achieved after 2 days, indicating timescale separation. CONCLUSION: Our dose–exposure–response modeling and simulation indicates effects were largely saturated at finerenone 20 mg and doses of both 10 and 20 mg once daily appear safe and efficacious at reducing albuminuria. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40262-019-00820-x) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-10-04 2020 /pmc/articles/PMC7051931/ /pubmed/31583611 http://dx.doi.org/10.1007/s40262-019-00820-x Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research Article
Snelder, Nelleke
Heinig, Roland
Drenth, Henk-Jan
Joseph, Amer
Kolkhof, Peter
Lippert, Jörg
Garmann, Dirk
Ploeger, Bart
Eissing, Thomas
Population Pharmacokinetic and Exposure–Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease
title Population Pharmacokinetic and Exposure–Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease
title_full Population Pharmacokinetic and Exposure–Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease
title_fullStr Population Pharmacokinetic and Exposure–Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease
title_full_unstemmed Population Pharmacokinetic and Exposure–Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease
title_short Population Pharmacokinetic and Exposure–Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease
title_sort population pharmacokinetic and exposure–response analysis of finerenone: insights based on phase iib data and simulations to support dose selection for pivotal trials in type 2 diabetes with chronic kidney disease
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051931/
https://www.ncbi.nlm.nih.gov/pubmed/31583611
http://dx.doi.org/10.1007/s40262-019-00820-x
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