Related Experiment Videos
Pharmacokinetic models of dermal absorption
1Chemical Engineering Department, Colorado School of Mines, Golden, Colorado 80401, USA.
Journal of Pharmaceutical Sciences
|December 18, 2001
Summary
Comparing pharmacokinetic models for skin absorption is challenging due to unclear parameters and assumptions. Some models fail to predict key dermal absorption characteristics, unlike a two-membrane skin model.
Area of Science:
- Pharmacokinetics
- Dermal Absorption
- Computational Modeling
Background:
- Pharmacokinetic (compartment) models are widely used for skin absorption analysis.
- Previous models lacked clear definitions of rate constants, stated assumptions, and specified skin layers, hindering comparisons.
- Physicochemical and physical properties of the skin are crucial for accurate dermal absorption predictions.
Purpose of the Study:
- To review and compare published one- and two-compartment skin models.
- To present models with consistent nomenclature, clearly defined assumptions, and expressed rate constants.
- To compare compartment models against a more functionally representative two-membrane skin model.
Main Methods:
- Review and comparison of nine one-compartment and two two-compartment models.
- Expression of rate constants using physicochemical properties (diffusion, partition coefficients, thickness).
- Estimation methods for required physicochemical parameters were summarized.
- Comparison with calculations from a two-membrane skin model.
Main Results:
- Eleven compartment models were analyzed and compared.
- Many compartment models failed to predict key characteristics of the two-membrane model, including blood flow effects.
- Kubota's and McCarley's models demonstrated better prediction accuracy for the two-membrane model.
Conclusions:
- Standardized comparison of skin pharmacokinetic models is essential.
- The two-membrane model offers a more accurate representation of skin function and dermal absorption.
- Specific compartment models (Kubota, McCarley) show improved predictive capabilities by aligning with membrane model characteristics.