An equation for the prediction of human skin permeability of neutral molecules, ions and ionic species

作者：Zhang, Keda; Abraham, Michael H.; Liu, Xiangli^*

来源：International Journal of Pharmaceutics, 2017, 521(1-2): 259-266.

DOI：10.1016/j.ijpharm.2017.02.059

• Predictive model
• Ionic species
• Ions
• Human skin
• Skin permeability
• Linear free-energy relationship
• QSPR

Experimental values of permeability coefficients, as log K-p, of chemical compounds across human skin were collected by carefully screening the literature, and adjusted to 37 degrees C for the effect of temperature. The values of log K-p for partially ionized acids and bases were separated into those for their neutral and ionic species, forming a total data set of 247 compounds and species (including 35 ionic species). The obtained log K-p values have been regressed against Abraham solute descriptors to yield a correlation equation with R-2 = 0.866 and SD = 0.432 log units. The equation can provide valid predictions for log K-p of neutral molecules, ions and ionic species, with predictive R-2 = 0.858 and predictive SD = 0.445 log units calculated by the leave-one-out statistics. The predicted log K-p values for Na+ and Et4N+ are in good agreement with the observed values. We calculated the values of log K-p of ketoprofen as a function of the pH of the donor solution, and found that log K-p markedly varies only when ketoprofen is largely ionized. This explains why models that neglect ionization of permeants still yield reasonable statistical results. The effect of skin thickness on log K-p was investigated by inclusion of two indicator variables, one for intermediate thickness skin and one for full thickness skin, into the above equation. The newly obtained equations were found to be statistically very close to the above equation. Therefore, the thickness of human skin used makes little difference to the experimental values of log K-p.

• 出版日期2017-4-15
• 单位暨南大学