Pharmacoproteomics-based reconstruction of in vivo P-glycoprotein function at blood-brain barrier and brain distribution of substrate verapamil in pentylenetetrazole-kindled epilepsy, spontaneous epilepsy, and phenytoin treatment models

The purpose of this study was to demonstrate experimentally that alterations of in vivo transporter function at the blood-brain barrier (BBB) in disease and during pharmacotherapy can be reconstructed from in vitro data based on our established pharmacoproteomic concept of reconstructing in vivo function by integrating intrinsic transport activity per transporter molecule and absolute protein expression level at the BBB. Pentylenetetrazole (PTZ)- kindled and spontaneous model of epilepsy (EL) mice were used as models of chemically induced and spontaneous epilepsy, respectively. A mouse model of antiepileptic drug treatment was prepared by consecutive 5-week administration of phenytoin (PHT). Quantitative targeted absolute proteomic analysis of 31 membrane proteins showed that P-glycoprotein (P-gp/mdr1a) protein expression levels were significantly increased in brain capillaries of PTZ (129%), EL (143%), and PHT mice (192%) compared with controls. The brain-to-plasma concentration ratios (K_{p brain}) of P-gp/mdr1a substrate verapamil were 0.563, 0.394, 0.432, and 0.234 in control, PTZ, EL, and PHT mice, respectively. In vivo P-gp/mdr1a function at the BBB was reconstructed from the measured P-gp/mdr1a protein expression levels and intrinsic transport activity for verapamil per P-gp/mdr1a previously reported by our group. Then, the reconstructed P-gp/mdr1a functional activities were integrated with unbound fractions of verapamil in plasma and brain to reconstruct K_{p brain}of verapamil. In all mice, reconstructed K_{p brain}values agreed well with the observed values within a 1.21-fold range. These results demonstrate that altered P-gp functions at the BBB in epilepsy and during pharmacotherapy can be reconstructed from in vitro data by means of our pharmacoproteomic approach. Copyright