Pa. Cornwell et Bw. Barry, EFFECTS OF PENETRATION ENHANCER TREATMENT ON THE STATISTICAL DISTRIBUTION OF HUMAN SKIN PERMEABILITIES, International journal of pharmaceutics, 117(1), 1995, pp. 101-112
Recent investigations have shown that human skin permeabilities may no
t always follow a Gaussian-normal distribution as usually assumed. Per
meability coefficients (K-p) for the model hydrophilic permeant, 5-flu
orouraciI (5-FU), and the model lipophilic permeant, estradiol (ES), w
ere demonstrated to follow more closely log-normal distributions. The
present study has evaluated the effect of terpene penetration enhancer
treatment on the distribution of 5-FU and ES permeabilities in human
skin. Control permeability coefficients (K-p), enhanced permeability c
oefficients (K-pe) and enhancement ratios (ER) were tested for both Ga
ussian-normality and log-normality. K-pe and ER data, obtained from 5-
FU experiments employing 22 different terpene enhancer formulations an
d one vehicle control, were pooled using standardised values, to obtai
n 188 replicate measurements for statistical analysis. Similarly, K-pe
and ER data, collected from ES experiments using 10 different terpene
treatments and two vehicle controls, were pooled to obtain 69 replica
te measurements. Statistical analysis revealed that K-p, K-pe and ER d
ata for 5-FU tended to follow a log-normal distribution. In contrast,
the K-p, K-pe and ER data for ES followed, more closely, a Gaussian-no
rmal distribution. Furthermore, the variability of the ES data was sma
ller in comparison with 5-FU data. It is possible that differences in
data distribution may be linked to the physico-chemical properties of
5-FU and ES. The results of this study suggest that, when control perm
eabilities follow a log-normal distribution, as was the situation for
5-FU, it is likely that enhancer treatment will produce permeabilities
and enhancement factors which are also log-normally distributed. In t
hese instances, all data are most accurately represented by geometric
means and geometric standard errors.