Micellar liquid chromatography for prediction of drug transport

The vast majority of well absorbed drugs are transported passively across the cell membranes. Physicochemical descriptors of drug molecules that are believed to influence transcellular transport are routinely used to predict drug absorption by means of complex mathematical models. In this paper, a new in vitro method, based on the retention data in micellar liquid chromatography (MLC), is validated for the prediction of passive drug absorption. The retention of a heterogeneous drugs set in MLC using Brij 35 as surfactant in the mobile phase is compared with the retention data reported in literature obtained in red cell membrane lipid liposomes, human red cell membranes vesicles (vesicles), native membranes of adsorbed red cells (ghosts) and egg phospholipids liposomes [Beigi et al., Int. J. Pharm., 164 (1998) 129-137]. Finally, the correlation between the logarithm of retention factors in MLC and reported oral drug absorption values for barbiturates and beta-blockers is studied. Predictive regression models for estimating oral drug absorption using the logarithm of the retention values as independent variable are proposed.