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Assessment of Vehicle Volatility and Deposition Layer Thickness in Skin Penetration Models
Systemic disposition of dermally applied chemicals is often formulation-dependent. Rapid evaporation of the vehicle can result in crystallization of active compounds, limiting their degree of skin penetration. In addition, the choice of vehicle can affect the permeant’s degree of penetration into th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226736/ https://www.ncbi.nlm.nih.gov/pubmed/34071572 http://dx.doi.org/10.3390/pharmaceutics13060807 |
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author | Hamadeh, Abdullah Troutman, John Edginton, Andrea N. |
author_facet | Hamadeh, Abdullah Troutman, John Edginton, Andrea N. |
author_sort | Hamadeh, Abdullah |
collection | PubMed |
description | Systemic disposition of dermally applied chemicals is often formulation-dependent. Rapid evaporation of the vehicle can result in crystallization of active compounds, limiting their degree of skin penetration. In addition, the choice of vehicle can affect the permeant’s degree of penetration into the stratum corneum. The aim of this study is to build a predictive, mechanistic, dermal absorption model that accounts for vehicle-specific effects on the kinetics of permeant transport into skin. An existing skin penetration model is extended to explicitly include the effect of vehicle volatility over time. Using in vitro measurements of skin penetration by chemicals applied in both a saline and an ethanol solvent, the model is optimized to learn two vehicle-specific quantities: the solvent evaporation rate and the extent of permeant deposition into the upper stratum corneum immediately following application. The dermal disposition estimates of the trained model are subsequently compared against those of the original model using further in vitro measurements. The trained model showed a 1.5-fold improvement and a 19-fold improvement in overall goodness of fit among compounds tested in saline and ethanol solvents, respectively. The proposed model structure can thus form a basis for in vitro to in vivo extrapolations of dermal disposition for skin formulations containing volatile components. |
format | Online Article Text |
id | pubmed-8226736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82267362021-06-26 Assessment of Vehicle Volatility and Deposition Layer Thickness in Skin Penetration Models Hamadeh, Abdullah Troutman, John Edginton, Andrea N. Pharmaceutics Article Systemic disposition of dermally applied chemicals is often formulation-dependent. Rapid evaporation of the vehicle can result in crystallization of active compounds, limiting their degree of skin penetration. In addition, the choice of vehicle can affect the permeant’s degree of penetration into the stratum corneum. The aim of this study is to build a predictive, mechanistic, dermal absorption model that accounts for vehicle-specific effects on the kinetics of permeant transport into skin. An existing skin penetration model is extended to explicitly include the effect of vehicle volatility over time. Using in vitro measurements of skin penetration by chemicals applied in both a saline and an ethanol solvent, the model is optimized to learn two vehicle-specific quantities: the solvent evaporation rate and the extent of permeant deposition into the upper stratum corneum immediately following application. The dermal disposition estimates of the trained model are subsequently compared against those of the original model using further in vitro measurements. The trained model showed a 1.5-fold improvement and a 19-fold improvement in overall goodness of fit among compounds tested in saline and ethanol solvents, respectively. The proposed model structure can thus form a basis for in vitro to in vivo extrapolations of dermal disposition for skin formulations containing volatile components. MDPI 2021-05-28 /pmc/articles/PMC8226736/ /pubmed/34071572 http://dx.doi.org/10.3390/pharmaceutics13060807 Text en © 2021 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 Hamadeh, Abdullah Troutman, John Edginton, Andrea N. Assessment of Vehicle Volatility and Deposition Layer Thickness in Skin Penetration Models |
title | Assessment of Vehicle Volatility and Deposition Layer Thickness in Skin Penetration Models |
title_full | Assessment of Vehicle Volatility and Deposition Layer Thickness in Skin Penetration Models |
title_fullStr | Assessment of Vehicle Volatility and Deposition Layer Thickness in Skin Penetration Models |
title_full_unstemmed | Assessment of Vehicle Volatility and Deposition Layer Thickness in Skin Penetration Models |
title_short | Assessment of Vehicle Volatility and Deposition Layer Thickness in Skin Penetration Models |
title_sort | assessment of vehicle volatility and deposition layer thickness in skin penetration models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226736/ https://www.ncbi.nlm.nih.gov/pubmed/34071572 http://dx.doi.org/10.3390/pharmaceutics13060807 |
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