Literature DB >> 22517028

Prediction of concentration-time profile and its inter-individual variability following the dermal drug absorption.

Sebastian Polak1, Cyrus Ghobadi, Himanshu Mishra, Malidi Ahamadi, Nikunjkumar Patel, Masoud Jamei, Amin Rostami-Hodjegan.   

Abstract

Estimation of systemic exposure after absorption of any xenobiotic from the skin is very important in development of dermal pharmaceutical products as well as assessing un-intended exposures due to cosmetic products or environmental and occupational compounds. Historically, animal models have been used to evaluate dermal drug absorption before conducting human trials. However, occasional disparity between the animal and human data plus rising public interest and regulatory requirements to reduce animal usage in research combined with high cost and time-consuming attributes of animal experiments have prompted many academic and industrial researchers to develop economically viable and scientifically robust in silico and in vitro methods to assess dermal drug absorption. There are a number of in silico models available in literature from quantitative structure-activity relationship to semi-mechanistic to physiologically based mechanistic models. Nonetheless, to the best of our knowledge, so far, there has been no attempt to combine mechanistic skin absorption model with database of physiological variability to simulate the inter- and intra-individual variability observed in human trials. Thus, we report here mechanistic dermal absorption model with formulation, stratum corneum, viable epidermis-dermis and blood compartments along with datab"ase of human dermal physiological variability including gender, ethnic and site of application variations. The developed model is incorporated into the Simcyp simulator which is a 'bottom-up' platform and database for mechanistic modelling and simulation of the drug disposition process using full body physiologically based pharmacokinetics model. The built model is validated using the clinical pharmacokinetic data from five different topical formulations of diclofenac. The effect of penetration enhancers, site of application, gender and ethnic variations were incorporated to simulate the clinical trials. The applied mechanistic dermal absorption model when combined with skin physiological database was able to recover well the observed clinical pharmacokinetics and population variability in all the five validation studies.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22517028     DOI: 10.1002/jps.23155

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  14 in total

1.  In silico prediction of percutaneous absorption and disposition kinetics of chemicals.

Authors:  Longjian Chen; Lujia Han; Ouarda Saib; Guoping Lian
Journal:  Pharm Res       Date:  2014-11-19       Impact factor: 4.200

2.  In Silico Estimation of Skin Concentration Following the Dermal Exposure to Chemicals.

Authors:  Tomomi Hatanaka; Shun Yoshida; Wesam R Kadhum; Hiroaki Todo; Kenji Sugibayashi
Journal:  Pharm Res       Date:  2015-07-21       Impact factor: 4.200

Review 3.  Challenges in working towards an internal threshold of toxicological concern (iTTC) for use in the safety assessment of cosmetics: Discussions from the Cosmetics Europe iTTC Working Group workshop.

Authors:  Corie A Ellison; Karen L Blackburn; Paul L Carmichael; Harvey J Clewell; Mark T D Cronin; Bertrand Desprez; Sylvia E Escher; Steve S Ferguson; Sébastien Grégoire; Nicola J Hewitt; Heli M Hollnagel; Martina Klaric; Atish Patel; Sabrina Salhi; Andreas Schepky; Barbara G Schmitt; John F Wambaugh; Andrew Worth
Journal:  Regul Toxicol Pharmacol       Date:  2019-01-15       Impact factor: 3.271

4.  In Silico Modelling of Transdermal and Systemic Kinetics of Topically Applied Solutes: Model Development and Initial Validation for Transdermal Nicotine.

Authors:  Tao Chen; Guoping Lian; Panayiotis Kattou
Journal:  Pharm Res       Date:  2016-03-08       Impact factor: 4.200

Review 5.  Evidence that bisphenol A (BPA) can be accurately measured without contamination in human serum and urine, and that BPA causes numerous hazards from multiple routes of exposure.

Authors:  Frederick S vom Saal; Wade V Welshons
Journal:  Mol Cell Endocrinol       Date:  2014-10-07       Impact factor: 4.102

6.  Scalable in silico Simulation of Transdermal Drug Permeability: Application of BIOiSIM Platform.

Authors:  Neha Maharao; Victor Antontsev; Hypatia Hou; Jason Walsh; Jyotika Varshney
Journal:  Drug Des Devel Ther       Date:  2020-06-11       Impact factor: 4.162

Review 7.  Physiologically-based pharmacokinetic modeling to support bioequivalence and approval of generic products: A case for diclofenac sodium topical gel, 1.

Authors:  Eleftheria Tsakalozou; Andrew Babiskin; Liang Zhao
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-03-09

8.  Leveraging human genetic and adverse outcome pathway (AOP) data to inform susceptibility in human health risk assessment.

Authors:  Holly M Mortensen; John Chamberlin; Bonnie Joubert; Michelle Angrish; Nisha Sipes; Janice S Lee; Susan Y Euling
Journal:  Mamm Genome       Date:  2018-02-23       Impact factor: 3.224

9.  The application of global sensitivity analysis in the development of a physiologically based pharmacokinetic model for m-xylene and ethanol co-exposure in humans.

Authors:  George D Loizou; Kevin McNally; Kate Jones; John Cocker
Journal:  Front Pharmacol       Date:  2015-06-30       Impact factor: 5.810

10.  Holding thermal receipt paper and eating food after using hand sanitizer results in high serum bioactive and urine total levels of bisphenol A (BPA).

Authors:  Annette M Hormann; Frederick S Vom Saal; Susan C Nagel; Richard W Stahlhut; Carol L Moyer; Mark R Ellersieck; Wade V Welshons; Pierre-Louis Toutain; Julia A Taylor
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

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