Development of a high throughput equilibrium dialysis method

Impact of nonspecific binding to microsomes and phospholipid on the inhibition of cytochrome P4502D6: implications for relating in vitro inhibition data to in vivo drug interactions

The effects of microsomal concentration on the inhibitory potencies of four compounds--fluoxetine, quinidine, imipramine, and ezlopitant--on heterologously expressed recombinant CYP2D6-catalyzed bufuralol 1'-hydroxylase activity were determined. Increasing microsomal concentration from 0.0088 to 2.0 mg/ml, using additional microsomes not containing cytochrome P450, resulted in a marked increase in IC(50) and K(I) values for fluoxetine, ezlopitant, and imipramine, when inhibition constants were calculated using the nominal concentration of inhibitor added to the incubation mixture. The extent of nonspecific binding of these inhibitors to microsomes was determined using equilibrium dialysis. The extent of binding increased with increasing microsomal concentration. Binding was greatest for ezlopitant, followed by fluoxetine, imipramine, and quinidine. Correcting inhibition constants for the extent of nonspecific binding resulted in greater consistency of these values with differing microsomal protein concentrations. This effect was also studied with added phospholipid. Inhibition constants increased with increasing phospholipid, and nonspecific binding was also observed for these four drugs to phospholipid. This suggests that the phospholipid component of microsomes possesses some or all of the responsibility for nonspecific binding, and its effect on inhibitors of drug-metabolizing enzymes. These findings suggest that inhibition constants for drugs as inhibitors of microsomal drug-metabolizing enzymes, such as cytochrome P450, should be corrected for the extent of nonspecific binding to components of the in vitro matrix. The implications of this on the prediction of drug-drug interactions from in vitro data are discussed.

Prediction of volume of distribution values in humans for neutral and basic drugs using physicochemical measurements and plasma protein binding data

We present a method for the prediction of volume of distribution in humans, for neutral and basic compounds. It is based on two experimentally determined physicochemical parameters, ElogD(7.4) and f(i(7.4)), the latter being the fraction of compound ionized at pH 7.4 and on the fraction of free drug in plasma (f(u)). The fraction unbound in tissues (f(ut)), determined via a regression analysis from 64 compounds using the parameters described, is then used to predict VD(ss) via the Oie-Tozer equation. Accuracy of this method was determined using a test set of 14 compounds, and it was demonstrated that human VD(ss) values could be predicted, on average, within or very close to 2-fold of the actual value. The present method is as accurate as reported methods based on animal pharmacokinetic data, using a similar set of compounds, and ranges between 1.62 and 2.20 as mean-fold error. This method has the advantage of being amenable to automation, and therefore fast throughput, it is compound and resources sparing, and it offers a rationale for the reduction of the use of animals in pharmacokinetic studies. A discussion of the potential errors that may be encountered, including errors in the determination of f(u), is offered, and the caveats about the use of computed vs experimentally determined logD and pK(a) values are addressed.