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Quantitative structure-permeability relationships for percutaneous absorption: re-analysis of steroid data
1School of Pharmacy and Chemistry, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, UK. gary.moss@unilever.com
International Journal of Pharmaceutics
|May 9, 2002
Summary
Steroids are no longer outliers to skin permeability models. Updated data shows steroids penetrate skin similarly to other chemicals, improving quantitative structure-permeability relationships (QSPRs).
Area of Science:
- Pharmacokinetics
- Dermal Absorption Research
- Computational Chemistry
Background:
- Steroids historically deviate from quantitative structure-permeability relationships (QSPRs) for skin penetration.
- Previous skin permeability data for steroids is inconsistent with modern findings.
Purpose of the Study:
- To re-evaluate QSPRs for skin permeability by incorporating updated steroid data.
- To determine if steroids remain outliers in revised QSPR models.
Main Methods:
- Re-analysis of QSPRs using recent skin permeability data for steroids.
- Development of a new QSPR model based on octanol-water partition coefficient (logP) and molecular weight (MW).
Main Results:
- A significant QSPR model was derived: log k(p)=0.74 logP-0.0091MW-2.39.
- Statistical analysis confirmed that steroids are no longer outliers to the developed QSPR model.
- The revised model demonstrates improved accuracy for predicting skin permeability.
Conclusions:
- Updated data resolves historical discrepancies in steroid skin permeability.
- Steroids penetrate the skin via the same mechanisms as most other exogenous chemicals.
- The developed QSPR provides a reliable tool for predicting skin permeability of diverse compounds.