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A population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects
Remdesivir is a direct-acting anti-viral agent. It was originally evaluated against filoviruses. However, during the COVID-19 pandemic, it was investigated due to its anti-viral activities against (SARS-CoV-2) virus. Therefore remdesivir received conditional approval for treatment of patients with s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485022/ https://www.ncbi.nlm.nih.gov/pubmed/36123499 http://dx.doi.org/10.1007/s00210-022-02292-6 |
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author | Abouellil, Ahmed Bilal, Muhammad Taubert, Max Fuhr, Uwe |
author_facet | Abouellil, Ahmed Bilal, Muhammad Taubert, Max Fuhr, Uwe |
author_sort | Abouellil, Ahmed |
collection | PubMed |
description | Remdesivir is a direct-acting anti-viral agent. It was originally evaluated against filoviruses. However, during the COVID-19 pandemic, it was investigated due to its anti-viral activities against (SARS-CoV-2) virus. Therefore remdesivir received conditional approval for treatment of patients with severe coronavirus disease. Yet, its pharmacokinetic properties are inadequately understood. This report describes the population pharmacokinetics of remdesivir and its two plasma-detectable metabolites (GS-704277 and GS-441524) in healthy volunteers. The data was extracted from published phase I single escalating and multiple i.v remdesivir dose studies conducted by the manufacturer. The model was developed by standard methods using non-linear mixed effect modeling. Also, a series of simulations were carried out to test suggested clinical doses. The model describes the distribution of remdesivir and each of its metabolites by respective two compartments with sequential metabolism between moieties, and elimination from central compartments. As individual data were not available, only inter-cohort variability could be assessed. The estimated point estimates for central (and peripheral) volumes of distribution for remdesivir, GS-704277, and GS-441524 were 4.89 L (46.5 L), 96.4 L (8.64 L), and 26.2 L (66.2 L), respectively. The estimated elimination clearances of remdesivir, GS704277, and GS-441524 reached 18.1 L/h, 36.9 L/h, and 4.74 L/h, respectively. The developed model described the data well. Simulations of clinically approved doses showed that GS-441524 concentrations in plasma exceeded the reported EC(50) values during the complete duration of treatment. Nonetheless, further studies are needed to explore the pharmacokinetics of remdesivir and its relationship to clinical efficacy, and the present model may serve as a useful starting point for additional evaluations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00210-022-02292-6. |
format | Online Article Text |
id | pubmed-9485022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-94850222022-09-21 A population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects Abouellil, Ahmed Bilal, Muhammad Taubert, Max Fuhr, Uwe Naunyn Schmiedebergs Arch Pharmacol Research Remdesivir is a direct-acting anti-viral agent. It was originally evaluated against filoviruses. However, during the COVID-19 pandemic, it was investigated due to its anti-viral activities against (SARS-CoV-2) virus. Therefore remdesivir received conditional approval for treatment of patients with severe coronavirus disease. Yet, its pharmacokinetic properties are inadequately understood. This report describes the population pharmacokinetics of remdesivir and its two plasma-detectable metabolites (GS-704277 and GS-441524) in healthy volunteers. The data was extracted from published phase I single escalating and multiple i.v remdesivir dose studies conducted by the manufacturer. The model was developed by standard methods using non-linear mixed effect modeling. Also, a series of simulations were carried out to test suggested clinical doses. The model describes the distribution of remdesivir and each of its metabolites by respective two compartments with sequential metabolism between moieties, and elimination from central compartments. As individual data were not available, only inter-cohort variability could be assessed. The estimated point estimates for central (and peripheral) volumes of distribution for remdesivir, GS-704277, and GS-441524 were 4.89 L (46.5 L), 96.4 L (8.64 L), and 26.2 L (66.2 L), respectively. The estimated elimination clearances of remdesivir, GS704277, and GS-441524 reached 18.1 L/h, 36.9 L/h, and 4.74 L/h, respectively. The developed model described the data well. Simulations of clinically approved doses showed that GS-441524 concentrations in plasma exceeded the reported EC(50) values during the complete duration of treatment. Nonetheless, further studies are needed to explore the pharmacokinetics of remdesivir and its relationship to clinical efficacy, and the present model may serve as a useful starting point for additional evaluations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00210-022-02292-6. Springer Berlin Heidelberg 2022-09-20 2023 /pmc/articles/PMC9485022/ /pubmed/36123499 http://dx.doi.org/10.1007/s00210-022-02292-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Abouellil, Ahmed Bilal, Muhammad Taubert, Max Fuhr, Uwe A population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects |
title | A population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects |
title_full | A population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects |
title_fullStr | A population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects |
title_full_unstemmed | A population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects |
title_short | A population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects |
title_sort | population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485022/ https://www.ncbi.nlm.nih.gov/pubmed/36123499 http://dx.doi.org/10.1007/s00210-022-02292-6 |
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