Literature DB >> 25455898

In vitro-to-in vivo correlation of the skin penetration, liver clearance and hepatotoxicity of caffeine.

M Gajewska1, A Paini2, J V Sala Benito2, J Burton2, A Worth2, C Urani3, H Briesen4, K-W Schramm5.   

Abstract

This work illustrates the use of Physiologically-Based Toxicokinetic (PBTK) modelling for the healthy Caucasian population in in vitro-to-in vivo correlation of kinetic measures of caffeine skin penetration and liver clearance (based on literature experiments), as well as dose metrics of caffeine-induced measured HepaRG toxicity. We applied a simple correlation factor to quantify the in vitro and in vivo differences in the amount of caffeine permeated through the skin and concentration-time profiles of caffeine in the liver. We developed a multi-scale computational approach by linking the PBTK model with a Virtual Cell-Based Assay to relate an external oral and dermal dose with the measured in vitro HepaRG cell viability. The results revealed higher in vivo skin permeation profiles than those determined in vitro using identical exposure conditions. Liver clearance of caffeine derived from in vitro metabolism rates was found to be much slower than the optimised in vivo clearance with respect to caffeine plasma concentrations. Finally, HepaRG cell viability was shown to remain almost unchanged for external caffeine doses of 5-400 mg for both oral and dermal absorption routes. We modelled single exposure to caffeine only.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Caffeine; In vitro-to-in vivo correlation; Physiologically-Based Toxicokinetic (PBTK) modelling; Virtual cell-based assay

Mesh:

Substances:

Year:  2014        PMID: 25455898     DOI: 10.1016/j.fct.2014.10.017

Source DB:  PubMed          Journal:  Food Chem Toxicol        ISSN: 0278-6915            Impact factor:   6.023


  10 in total

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Journal:  Environ Sci Pollut Res Int       Date:  2015-07-24       Impact factor: 4.223

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Journal:  Toxicol In Vitro       Date:  2017-12-05       Impact factor: 3.500

Review 3.  Antioxidants in liver health.

Authors:  Sael Casas-Grajales; Pablo Muriel
Journal:  World J Gastrointest Pharmacol Ther       Date:  2015-08-06

4.  The virtual cell based assay: Current status and future perspectives.

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Journal:  Toxicol In Vitro       Date:  2017-01-18       Impact factor: 3.500

5.  From in vitro to in vivo: Integration of the virtual cell based assay with physiologically based kinetic modelling.

Authors:  Alicia Paini; Jose Vicente Sala Benito; Jos Bessems; Andrew P Worth
Journal:  Toxicol In Vitro       Date:  2017-06-27       Impact factor: 3.500

6.  Virtual Cell Based Assay simulations of intra-mitochondrial concentrations in hepatocytes and cardiomyocytes.

Authors:  Andrew P Worth; Jochem Louisse; Peter Macko; J V Sala Benito; Alicia Paini
Journal:  Toxicol In Vitro       Date:  2017-09-11       Impact factor: 3.500

7.  Automated workflows for modelling chemical fate, kinetics and toxicity.

Authors:  J V Sala Benito; Alicia Paini; Andrea-Nicole Richarz; Thorsten Meinl; Michael R Berthold; Mark T D Cronin; Andrew P Worth
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8.  Investigating the state of physiologically based kinetic modelling practices and challenges associated with gaining regulatory acceptance of model applications.

Authors:  Alicia Paini; Jeremy A Leonard; Tomas Kliment; Yu-Mei Tan; Andrew Worth
Journal:  Regul Toxicol Pharmacol       Date:  2017-09-01       Impact factor: 3.271

9.  Ab initio chemical safety assessment: A workflow based on exposure considerations and non-animal methods.

Authors:  Elisabet Berggren; Andrew White; Gladys Ouedraogo; Alicia Paini; Andrea-Nicole Richarz; Frederic Y Bois; Thomas Exner; Sofia Leite; Leo A van Grunsven; Andrew Worth; Catherine Mahony
Journal:  Comput Toxicol       Date:  2017-11

10.  The margin of internal exposure (MOIE) concept for dermal risk assessment based on oral toxicity data - A case study with caffeine.

Authors:  Jos G M Bessems; Alicia Paini; Monika Gajewska; Andrew Worth
Journal:  Toxicology       Date:  2017-03-10       Impact factor: 4.221

  10 in total

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