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Models for Predicting Drug Absorption From Oral Lipid-Based Formulations
In this review, we describe the in vitro tools currently used to identify when a lipid-based formulation has the potential to deliver a poorly water-soluble drug via the oral route. We describe the extent to which these tools reflect the in vivo performance of the formulation and, more importantly,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4643850/ https://www.ncbi.nlm.nih.gov/pubmed/26594613 http://dx.doi.org/10.1007/s40610-015-0023-1 |
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author | Alskär, Linda C. Bergström, Christel A. S. |
author_facet | Alskär, Linda C. Bergström, Christel A. S. |
author_sort | Alskär, Linda C. |
collection | PubMed |
description | In this review, we describe the in vitro tools currently used to identify when a lipid-based formulation has the potential to deliver a poorly water-soluble drug via the oral route. We describe the extent to which these tools reflect the in vivo performance of the formulation and, more importantly, we present strategies that we foresee will improve the in vitro-in vivo correlations. We also present emerging computational methods that are likely to allow large parts of the formulation development to be carried out in the computer rather than in the test tube. We suggest that these computational tools will also improve the mechanistic understanding of in vivo formulation performance in the complex and dynamic environment of the gut. |
format | Online Article Text |
id | pubmed-4643850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-46438502015-11-19 Models for Predicting Drug Absorption From Oral Lipid-Based Formulations Alskär, Linda C. Bergström, Christel A. S. Curr Mol Biol Rep Invited Commentary In this review, we describe the in vitro tools currently used to identify when a lipid-based formulation has the potential to deliver a poorly water-soluble drug via the oral route. We describe the extent to which these tools reflect the in vivo performance of the formulation and, more importantly, we present strategies that we foresee will improve the in vitro-in vivo correlations. We also present emerging computational methods that are likely to allow large parts of the formulation development to be carried out in the computer rather than in the test tube. We suggest that these computational tools will also improve the mechanistic understanding of in vivo formulation performance in the complex and dynamic environment of the gut. Springer International Publishing 2015-10-07 2015 /pmc/articles/PMC4643850/ /pubmed/26594613 http://dx.doi.org/10.1007/s40610-015-0023-1 Text en © The Author(s) 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted 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 | Invited Commentary Alskär, Linda C. Bergström, Christel A. S. Models for Predicting Drug Absorption From Oral Lipid-Based Formulations |
title | Models for Predicting Drug Absorption From Oral Lipid-Based Formulations |
title_full | Models for Predicting Drug Absorption From Oral Lipid-Based Formulations |
title_fullStr | Models for Predicting Drug Absorption From Oral Lipid-Based Formulations |
title_full_unstemmed | Models for Predicting Drug Absorption From Oral Lipid-Based Formulations |
title_short | Models for Predicting Drug Absorption From Oral Lipid-Based Formulations |
title_sort | models for predicting drug absorption from oral lipid-based formulations |
topic | Invited Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4643850/ https://www.ncbi.nlm.nih.gov/pubmed/26594613 http://dx.doi.org/10.1007/s40610-015-0023-1 |
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