Modulation of chemical dermal absorption by 14 natural products: a quantitative structure permeation analysis of components often found in topical preparations

Abstract

A large number of cosmetics and topical pharmaceuticals contain compounds of natural origin. There is a rising concern if these compounds can interact with the activity of other topically applied components in these formulations. The current study demonstrates modulation of dermal absorption of model components often found in topical preparations (¹⁴C caffeine and ¹⁴C salicylic acid) by a set of 14 compounds of natural origin using a flow through in vitro porcine skin diffusion system. The parameters of flux and permeability were calculated and quantitative structure permeation relationship (QSPR) analysis conducted on different molecular descriptors of modulator compounds. Terpinyl acetate was the greatest permeability/flux enhancer for caffeine followed by s-perillyl acetate and limonene 1,2-epoxide. The permeability/flux of salicylic acid was highest with hydroxycitronellal followed by limonene 1,2-epoxide and s-perillyl acetate. The optimum descriptors using stepwise regression analysis for predicting additive modulation on penetrant permeability/flux were polar surface area, log P for caffeine and Henry’s Law constant, number of freely rotatable bonds, and water solubility for salicylic acid. In parallel with the experimental techniques, a novel mathematical model was developed to estimate the permeability coefficients and improve the stepwise regression analysis for assessing modulator effects. The r² values significantly increased for multicomponent QSPR models. Notably, limonene 1,2-epoxide and s-perillyl acetate were excellent enhancers for both caffeine and salicylic acid. These results confirm that some natural products incorporated into topical formulations will enhance absorption of other components which could affect their safety and efficacy profiles.

Keywords:

• Absorption
• compounds of natural origin
• mathematical modeling
• mixtures
• QSPR
• skin

Acknowledgements

The technical assistance of C Rutter and R Chen’s help in QSPR analysis is highly acknowledged.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article. This work was supported by Kansas Bioscience Authority.

Supplementary material available online