Literature DB >> 29468312

Evaluation on the reliability of the permeability coefficient (Kp) to assess the percutaneous penetration property of chemicals on the basis of Flynn's dataset.

Carolin Kladt1, Kathrin Dennerlein1, Thomas Göen1, Hans Drexler1, Gintautas Korinth2.   

Abstract

PURPOSE: The permeability coefficient (Kp) is often used for prediction of the dermal penetration of chemicals. Mathematical models have mostly been derived on Kp data basis. However, confusing Kp values are reported, questioning the general reliability of this parameter. In this study, we tested the plausibility of Kp values expressing the dermal penetration velocity (cm h-1) of chemicals on a larger dataset from literature.
METHODS: Kp was applied for the calculation of the time for penetration through skin membranes of defined thickness (tCrossSkin). Kp values were obtained from Flynn's dataset (1990), containing data determined mostly under similar experimental conditions using diffusion cells. Further skin penetration parameters, e.g., times at which the chemicals were firstly measured in the receptor phase, lag times, steady-state times, and exposure duration, where available, were related to Kp values. The data congruence was tested comparing Kp values from Flynn's dataset with those reported in the EDETOX database. Variables, which could bias the results, such as different experimental protocols and research groups were also considered.
RESULTS: Kp data for 94 chemicals matched the inclusion criteria were evaluated. According to the Kp values, 21 (22%) compounds would require longer than 100 h, and 20 (21%) further compounds longer than 10 h of exposure to penetrate skin membranes of ~ 0.01-2.5 mm thickness. Obviously, erroneous Kp were found in studies of almost all research groups in Flynn's database, indicating that neither the observer nor the experimental conditions alone biased the values.
CONCLUSIONS: Our evaluation demonstrates high implausibility of Kp values to represent the dermal penetration velocity and supports general invalidity of the parameter for implementation in studies using skin membranes. The Kp should not be used to characterize the percutaneous penetration of chemicals or in risk assessment without verification.

Entities:  

Keywords:  Dermal flux; Flynn database; K p; Mathematical modelling; Percutaneous absorption; Permeability coefficient

Mesh:

Substances:

Year:  2018        PMID: 29468312     DOI: 10.1007/s00420-018-1296-5

Source DB:  PubMed          Journal:  Int Arch Occup Environ Health        ISSN: 0340-0131            Impact factor:   3.015


  48 in total

1.  Comparison of experimentally determined and mathematically predicted percutaneous penetration rates of chemicals.

Authors:  Gintautas Korinth; Karl Heinz Schaller; Michael Bader; Rüdiger Bartsch; Thomas Göen; Bernd Rossbach; Hans Drexler
Journal:  Arch Toxicol       Date:  2011-11-11       Impact factor: 5.153

2.  An evaluation of the potential of linear and nonlinear skin permeation models for the prediction of experimentally measured percutaneous drug absorption.

Authors:  Marc B Brown; Chi-Hian Lau; Sian T Lim; Yi Sun; Neail Davey; Gary P Moss; Seon-Hie Yoo; Christian De Muynck
Journal:  J Pharm Pharmacol       Date:  2012-02-07       Impact factor: 3.765

3.  A two-phase analysis of solute partitioning into the stratum corneum.

Authors:  Johannes M Nitsche; Tsuo-Feng Wang; Gerald B Kasting
Journal:  J Pharm Sci       Date:  2006-03       Impact factor: 3.534

4.  In vitro dermal absorption rate testing of certain chemicals of interest to the Occupational Safety and Health Administration: summary and evaluation of USEPA's mandated testing.

Authors:  William J Fasano; James N McDougal
Journal:  Regul Toxicol Pharmacol       Date:  2008-05-22       Impact factor: 3.271

5.  Potential of the octanol-water partition coefficient (logP) to predict the dermal penetration behaviour of amphiphilic compounds in aqueous solutions.

Authors:  Gintautas Korinth; Tanja Wellner; Karl Heinz Schaller; Hans Drexler
Journal:  Toxicol Lett       Date:  2012-09-28       Impact factor: 4.372

6.  Mechanism of percutaneous adsorption. I. Routes of penetration and the influence of solubility.

Authors:  R J Scheuplein
Journal:  J Invest Dermatol       Date:  1965-11       Impact factor: 8.551

7.  Estimating skin permeation. The validation of five mathematical skin permeation models.

Authors:  A Wilschut; W F ten Berge; P J Robinson; T E McKone
Journal:  Chemosphere       Date:  1995-04       Impact factor: 7.086

Review 8.  Chemical enhancement of percutaneous absorption in relation to stratum corneum structural alterations.

Authors:  T Marjukka Suhonen; J A Bouwstra; A Urtti
Journal:  J Control Release       Date:  1999-05-20       Impact factor: 9.776

9.  Skin thickness of Korean adults.

Authors:  Y Lee; K Hwang
Journal:  Surg Radiol Anat       Date:  2002-07-12       Impact factor: 1.246

10.  Is the permeability coefficient Kp a reliable tool in percutaneous absorption studies?

Authors:  Gintautas Korinth; Karl Heinz Schaller; Hans Drexler
Journal:  Arch Toxicol       Date:  2004-12-31       Impact factor: 5.153

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  2 in total

1.  A Data-Mining Approach for the Quantitative Assessment of Physicochemical Properties of Molecular Compounds in the Skin Flux.

Authors:  Hoo-Kyun Choi; Gayathri Acharya; Yugyung Lee; Chi H Lee
Journal:  AAPS PharmSciTech       Date:  2021-03-25       Impact factor: 3.246

2.  Predicting skin permeability using HuskinDB.

Authors:  Laura J Waters; Xin Ling Quah
Journal:  Sci Data       Date:  2022-09-23       Impact factor: 8.501

  2 in total

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