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Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol
Merck KGaA observed slight differences in the dissolution of Concor(®) (bisoprolol) batches over the years. The purpose of this work was to assess the impact of in vitro dissolution on the simulated pharmacokinetics of bisoprolol using in vitro–in vivo relationship established with available in vitr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213417/ https://www.ncbi.nlm.nih.gov/pubmed/34080804 http://dx.doi.org/10.1002/psp4.12634 |
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author | Macwan, Joyce S. Fraczkiewicz, Grace Bertolino, Mauro Krüger, Phillip Peters, Sheila‐Annie |
author_facet | Macwan, Joyce S. Fraczkiewicz, Grace Bertolino, Mauro Krüger, Phillip Peters, Sheila‐Annie |
author_sort | Macwan, Joyce S. |
collection | PubMed |
description | Merck KGaA observed slight differences in the dissolution of Concor(®) (bisoprolol) batches over the years. The purpose of this work was to assess the impact of in vitro dissolution on the simulated pharmacokinetics of bisoprolol using in vitro–in vivo relationship established with available in vitro dissolution and corresponding plasma concentrations‐time data for several bisoprolol batches. A mechanistic absorption model/physiologically based pharmacokinetics model linked with a biopharmaceutics tool such as dissolution testing, namely, physiologically based biopharmaceutics modeling (PBBM), can be valuable in determining a dissolution “safe space.” A PBBM for bisoprolol was built using in vitro, in silico, and clinical data. We evaluated potential influences of variability in dissolution of bisoprolol batches on its clinical performance through PBBM and virtual bioequivalence (BE) trials. We demonstrated that in vitro dissolution was not critical for the clinical performance of bisoprolol over a wide range of tested values. Based on virtual BE trials, safe space expansion was explored using hypothetical dissolution data. A formulation with in vitro dissolution reaching 70% dissolved in 15 min and 79.5% in 30 min was shown to be BE to classical fast dissolution of bisoprolol (>85% within 15 min), as point estimates and 90% confidence intervals of the maximum plasma concentration and area under the concentration‐time curve were within the BE limits (0.8–1.25). |
format | Online Article Text |
id | pubmed-8213417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82134172021-06-28 Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol Macwan, Joyce S. Fraczkiewicz, Grace Bertolino, Mauro Krüger, Phillip Peters, Sheila‐Annie CPT Pharmacometrics Syst Pharmacol Research Merck KGaA observed slight differences in the dissolution of Concor(®) (bisoprolol) batches over the years. The purpose of this work was to assess the impact of in vitro dissolution on the simulated pharmacokinetics of bisoprolol using in vitro–in vivo relationship established with available in vitro dissolution and corresponding plasma concentrations‐time data for several bisoprolol batches. A mechanistic absorption model/physiologically based pharmacokinetics model linked with a biopharmaceutics tool such as dissolution testing, namely, physiologically based biopharmaceutics modeling (PBBM), can be valuable in determining a dissolution “safe space.” A PBBM for bisoprolol was built using in vitro, in silico, and clinical data. We evaluated potential influences of variability in dissolution of bisoprolol batches on its clinical performance through PBBM and virtual bioequivalence (BE) trials. We demonstrated that in vitro dissolution was not critical for the clinical performance of bisoprolol over a wide range of tested values. Based on virtual BE trials, safe space expansion was explored using hypothetical dissolution data. A formulation with in vitro dissolution reaching 70% dissolved in 15 min and 79.5% in 30 min was shown to be BE to classical fast dissolution of bisoprolol (>85% within 15 min), as point estimates and 90% confidence intervals of the maximum plasma concentration and area under the concentration‐time curve were within the BE limits (0.8–1.25). John Wiley and Sons Inc. 2021-06-03 2021-06 /pmc/articles/PMC8213417/ /pubmed/34080804 http://dx.doi.org/10.1002/psp4.12634 Text en © 2021 Merck Healthcare KGaA. Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://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 | Research Macwan, Joyce S. Fraczkiewicz, Grace Bertolino, Mauro Krüger, Phillip Peters, Sheila‐Annie Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol |
title | Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol |
title_full | Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol |
title_fullStr | Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol |
title_full_unstemmed | Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol |
title_short | Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol |
title_sort | application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: the case of bisoprolol |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213417/ https://www.ncbi.nlm.nih.gov/pubmed/34080804 http://dx.doi.org/10.1002/psp4.12634 |
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