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Physiologically based pharmacokinetic modeling of intravenously administered nanoformulated substances

The use of nanobiomaterials (NBMs) is becoming increasingly popular in the field of medicine. To improve the understanding on the biodistribution of NBMs, the present study aimed to implement and parametrize a physiologically based pharmacokinetic (PBPK) model. This model was used to describe the bi...

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Autores principales: Minnema, Jordi, Borgos, Sven Even F., Liptrott, Neill, Vandebriel, Rob, Delmaar, Christiaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360077/
https://www.ncbi.nlm.nih.gov/pubmed/35551616
http://dx.doi.org/10.1007/s13346-022-01159-w
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author Minnema, Jordi
Borgos, Sven Even F.
Liptrott, Neill
Vandebriel, Rob
Delmaar, Christiaan
author_facet Minnema, Jordi
Borgos, Sven Even F.
Liptrott, Neill
Vandebriel, Rob
Delmaar, Christiaan
author_sort Minnema, Jordi
collection PubMed
description The use of nanobiomaterials (NBMs) is becoming increasingly popular in the field of medicine. To improve the understanding on the biodistribution of NBMs, the present study aimed to implement and parametrize a physiologically based pharmacokinetic (PBPK) model. This model was used to describe the biodistribution of two NBMs after intravenous administration in rats, namely, poly(alkyl cyanoacrylate) (PACA) loaded with cabazitaxel (PACA-Cbz), and LipImage™ 815. A Bayesian parameter estimation approach was applied to parametrize the PBPK model using the biodistribution data. Parametrization was performed for two distinct dose groups of PACA-Cbz. Furthermore, parametrizations were performed three distinct dose groups of LipImage™ 815, resulting in a total of five different parametrizations. The results of this study indicate that the PBPK model can be adequately parametrized using biodistribution data. The PBPK parameters estimated for PACA-Cbz, specifically the vascular permeability, the partition coefficient, and the renal clearance rate, substantially differed from those of LipImage™ 815. This emphasizes the presence of kinetic differences between the different formulations and substances and the need of tailoring the parametrization of PBPK models to the NBMs of interest. The kinetic parameters estimated in this study may help to establish a foundation for a more comprehensive database on NBM-specific kinetic information, which is a first, necessary step towards predictive biodistribution modeling. This effort should be supported by the development of robust in vitro methods to quantify kinetic parameters. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13346-022-01159-w.
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spelling pubmed-93600772022-08-10 Physiologically based pharmacokinetic modeling of intravenously administered nanoformulated substances Minnema, Jordi Borgos, Sven Even F. Liptrott, Neill Vandebriel, Rob Delmaar, Christiaan Drug Deliv Transl Res Original Article The use of nanobiomaterials (NBMs) is becoming increasingly popular in the field of medicine. To improve the understanding on the biodistribution of NBMs, the present study aimed to implement and parametrize a physiologically based pharmacokinetic (PBPK) model. This model was used to describe the biodistribution of two NBMs after intravenous administration in rats, namely, poly(alkyl cyanoacrylate) (PACA) loaded with cabazitaxel (PACA-Cbz), and LipImage™ 815. A Bayesian parameter estimation approach was applied to parametrize the PBPK model using the biodistribution data. Parametrization was performed for two distinct dose groups of PACA-Cbz. Furthermore, parametrizations were performed three distinct dose groups of LipImage™ 815, resulting in a total of five different parametrizations. The results of this study indicate that the PBPK model can be adequately parametrized using biodistribution data. The PBPK parameters estimated for PACA-Cbz, specifically the vascular permeability, the partition coefficient, and the renal clearance rate, substantially differed from those of LipImage™ 815. This emphasizes the presence of kinetic differences between the different formulations and substances and the need of tailoring the parametrization of PBPK models to the NBMs of interest. The kinetic parameters estimated in this study may help to establish a foundation for a more comprehensive database on NBM-specific kinetic information, which is a first, necessary step towards predictive biodistribution modeling. This effort should be supported by the development of robust in vitro methods to quantify kinetic parameters. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13346-022-01159-w. Springer US 2022-05-12 2022 /pmc/articles/PMC9360077/ /pubmed/35551616 http://dx.doi.org/10.1007/s13346-022-01159-w 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 Original Article
Minnema, Jordi
Borgos, Sven Even F.
Liptrott, Neill
Vandebriel, Rob
Delmaar, Christiaan
Physiologically based pharmacokinetic modeling of intravenously administered nanoformulated substances
title Physiologically based pharmacokinetic modeling of intravenously administered nanoformulated substances
title_full Physiologically based pharmacokinetic modeling of intravenously administered nanoformulated substances
title_fullStr Physiologically based pharmacokinetic modeling of intravenously administered nanoformulated substances
title_full_unstemmed Physiologically based pharmacokinetic modeling of intravenously administered nanoformulated substances
title_short Physiologically based pharmacokinetic modeling of intravenously administered nanoformulated substances
title_sort physiologically based pharmacokinetic modeling of intravenously administered nanoformulated substances
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360077/
https://www.ncbi.nlm.nih.gov/pubmed/35551616
http://dx.doi.org/10.1007/s13346-022-01159-w
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