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Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization
In vitro non-cellular permeability models such as the parallel artificial membrane permeability assay (PAMPA) are widely applied tools for early-phase drug candidate screening. In addition to the commonly used porcine brain polar lipid extract for modeling the blood–brain barrier’s permeability, the...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053807/ https://www.ncbi.nlm.nih.gov/pubmed/36986760 http://dx.doi.org/10.3390/pharmaceutics15030899 |
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author | Vincze, Anna Dékány, Gergely Bicsak, Richárd Formanek, András Moreau, Yves Koplányi, Gábor Takács, Gergely Katona, Gábor Balogh-Weiser, Diána Arany, Ádám Balogh, György T. |
author_facet | Vincze, Anna Dékány, Gergely Bicsak, Richárd Formanek, András Moreau, Yves Koplányi, Gábor Takács, Gergely Katona, Gábor Balogh-Weiser, Diána Arany, Ádám Balogh, György T. |
author_sort | Vincze, Anna |
collection | PubMed |
description | In vitro non-cellular permeability models such as the parallel artificial membrane permeability assay (PAMPA) are widely applied tools for early-phase drug candidate screening. In addition to the commonly used porcine brain polar lipid extract for modeling the blood–brain barrier’s permeability, the total and polar fractions of bovine heart and liver lipid extracts were investigated in the PAMPA model by measuring the permeability of 32 diverse drugs. The zeta potential of the lipid extracts and the net charge of their glycerophospholipid components were also determined. Physicochemical parameters of the 32 compounds were calculated using three independent forms of software (Marvin Sketch, RDKit, and ACD/Percepta). The relationship between the lipid-specific permeabilities and the physicochemical descriptors of the compounds was investigated using linear correlation, Spearman correlation, and PCA analysis. While the results showed only subtle differences between total and polar lipids, permeability through liver lipids highly differed from that of the heart or brain lipid-based models. Correlations between the in silico descriptors (e.g., number of amide bonds, heteroatoms, and aromatic heterocycles, accessible surface area, and H-bond acceptor–donor balance) of drug molecules and permeability values were also found, which provides support for understanding tissue-specific permeability. |
format | Online Article Text |
id | pubmed-10053807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100538072023-03-30 Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization Vincze, Anna Dékány, Gergely Bicsak, Richárd Formanek, András Moreau, Yves Koplányi, Gábor Takács, Gergely Katona, Gábor Balogh-Weiser, Diána Arany, Ádám Balogh, György T. Pharmaceutics Article In vitro non-cellular permeability models such as the parallel artificial membrane permeability assay (PAMPA) are widely applied tools for early-phase drug candidate screening. In addition to the commonly used porcine brain polar lipid extract for modeling the blood–brain barrier’s permeability, the total and polar fractions of bovine heart and liver lipid extracts were investigated in the PAMPA model by measuring the permeability of 32 diverse drugs. The zeta potential of the lipid extracts and the net charge of their glycerophospholipid components were also determined. Physicochemical parameters of the 32 compounds were calculated using three independent forms of software (Marvin Sketch, RDKit, and ACD/Percepta). The relationship between the lipid-specific permeabilities and the physicochemical descriptors of the compounds was investigated using linear correlation, Spearman correlation, and PCA analysis. While the results showed only subtle differences between total and polar lipids, permeability through liver lipids highly differed from that of the heart or brain lipid-based models. Correlations between the in silico descriptors (e.g., number of amide bonds, heteroatoms, and aromatic heterocycles, accessible surface area, and H-bond acceptor–donor balance) of drug molecules and permeability values were also found, which provides support for understanding tissue-specific permeability. MDPI 2023-03-10 /pmc/articles/PMC10053807/ /pubmed/36986760 http://dx.doi.org/10.3390/pharmaceutics15030899 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Vincze, Anna Dékány, Gergely Bicsak, Richárd Formanek, András Moreau, Yves Koplányi, Gábor Takács, Gergely Katona, Gábor Balogh-Weiser, Diána Arany, Ádám Balogh, György T. Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization |
title | Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization |
title_full | Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization |
title_fullStr | Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization |
title_full_unstemmed | Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization |
title_short | Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization |
title_sort | natural lipid extracts as an artificial membrane for drug permeability assay: in vitro and in silico characterization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053807/ https://www.ncbi.nlm.nih.gov/pubmed/36986760 http://dx.doi.org/10.3390/pharmaceutics15030899 |
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