In Vitro–In Silico Modeling of Caffeine and Diclofenac Permeation in Static and Fluidic Systems with a 16HBE Lung Cell Barrier

Static in vitro permeation experiments are commonly used to gain insights into the permeation properties of drug substances but exhibit limitations due to missing physiologic cell stimuli. Thus, fluidic systems integrating stimuli, such as physicochemical fluxes, have been developed. However, as flu...

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Main Authors: Lukas Kovar, Lena Wien, Dominik Selzer, Yvonne Kohl, Robert Bals, Thorsten Lehr
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Pharmaceuticals
Subjects:
Online Access:https://www.mdpi.com/1424-8247/15/2/250
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author Lukas Kovar
Lena Wien
Dominik Selzer
Yvonne Kohl
Robert Bals
Thorsten Lehr
author_facet Lukas Kovar
Lena Wien
Dominik Selzer
Yvonne Kohl
Robert Bals
Thorsten Lehr
author_sort Lukas Kovar
collection DOAJ
description Static in vitro permeation experiments are commonly used to gain insights into the permeation properties of drug substances but exhibit limitations due to missing physiologic cell stimuli. Thus, fluidic systems integrating stimuli, such as physicochemical fluxes, have been developed. However, as fluidic in vitro studies display higher complexity compared to static systems, analysis of experimental readouts is challenging. Here, the integration of in silico tools holds the potential to evaluate fluidic experiments and to investigate specific simulation scenarios. This study aimed to develop in silico models that describe and predict the permeation and disposition of two model substances in a static and fluidic in vitro system. For this, in vitro permeation studies with a 16HBE cellular barrier under both static and fluidic conditions were performed over 72 h. In silico models were implemented and employed to describe and predict concentration–time profiles of caffeine and diclofenac in various experimental setups. For both substances, in silico modeling identified reduced apparent permeabilities in the fluidic compared to the static cellular setting. The developed in vitro–in silico modeling framework can be expanded further, integrating additional cell tissues in the fluidic system, and can be employed in future studies to model pharmacokinetic and pharmacodynamic drug behavior.
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spelling doaj.art-df12d41403b64f208abd38decb1af5992023-11-23T21:35:26ZengMDPI AGPharmaceuticals1424-82472022-02-0115225010.3390/ph15020250In Vitro–In Silico Modeling of Caffeine and Diclofenac Permeation in Static and Fluidic Systems with a 16HBE Lung Cell BarrierLukas Kovar0Lena Wien1Dominik Selzer2Yvonne Kohl3Robert Bals4Thorsten Lehr5Department of Clinical Pharmacy, Saarland University, 66123 Saarbrucken, GermanyFraunhofer Institute for Biomedical Engineering IBMT, 66280 Sulzbach, GermanyDepartment of Clinical Pharmacy, Saarland University, 66123 Saarbrucken, GermanyFraunhofer Institute for Biomedical Engineering IBMT, 66280 Sulzbach, GermanyDepartment of Internal Medicine V, Saarland University, 66421 Homburg, GermanyDepartment of Clinical Pharmacy, Saarland University, 66123 Saarbrucken, GermanyStatic in vitro permeation experiments are commonly used to gain insights into the permeation properties of drug substances but exhibit limitations due to missing physiologic cell stimuli. Thus, fluidic systems integrating stimuli, such as physicochemical fluxes, have been developed. However, as fluidic in vitro studies display higher complexity compared to static systems, analysis of experimental readouts is challenging. Here, the integration of in silico tools holds the potential to evaluate fluidic experiments and to investigate specific simulation scenarios. This study aimed to develop in silico models that describe and predict the permeation and disposition of two model substances in a static and fluidic in vitro system. For this, in vitro permeation studies with a 16HBE cellular barrier under both static and fluidic conditions were performed over 72 h. In silico models were implemented and employed to describe and predict concentration–time profiles of caffeine and diclofenac in various experimental setups. For both substances, in silico modeling identified reduced apparent permeabilities in the fluidic compared to the static cellular setting. The developed in vitro–in silico modeling framework can be expanded further, integrating additional cell tissues in the fluidic system, and can be employed in future studies to model pharmacokinetic and pharmacodynamic drug behavior.https://www.mdpi.com/1424-8247/15/2/250in vitro–in silico modeling16HBEcaffeinediclofenacfluidic systemstatic system
spellingShingle Lukas Kovar
Lena Wien
Dominik Selzer
Yvonne Kohl
Robert Bals
Thorsten Lehr
In Vitro–In Silico Modeling of Caffeine and Diclofenac Permeation in Static and Fluidic Systems with a 16HBE Lung Cell Barrier
Pharmaceuticals
in vitro–in silico modeling
16HBE
caffeine
diclofenac
fluidic system
static system
title In Vitro–In Silico Modeling of Caffeine and Diclofenac Permeation in Static and Fluidic Systems with a 16HBE Lung Cell Barrier
title_full In Vitro–In Silico Modeling of Caffeine and Diclofenac Permeation in Static and Fluidic Systems with a 16HBE Lung Cell Barrier
title_fullStr In Vitro–In Silico Modeling of Caffeine and Diclofenac Permeation in Static and Fluidic Systems with a 16HBE Lung Cell Barrier
title_full_unstemmed In Vitro–In Silico Modeling of Caffeine and Diclofenac Permeation in Static and Fluidic Systems with a 16HBE Lung Cell Barrier
title_short In Vitro–In Silico Modeling of Caffeine and Diclofenac Permeation in Static and Fluidic Systems with a 16HBE Lung Cell Barrier
title_sort in vitro in silico modeling of caffeine and diclofenac permeation in static and fluidic systems with a 16hbe lung cell barrier
topic in vitro–in silico modeling
16HBE
caffeine
diclofenac
fluidic system
static system
url https://www.mdpi.com/1424-8247/15/2/250
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