Fitting the Elementary Rate Constants of the P-gp Transporter Network in the hMDR1-MDCK Confluent Cell Monolayer Using a Particle Swarm Algorithm

P-glycoprotein, a human multidrug resistance transporter, has been extensively studied due to its importance to human health and disease. In order to understand transport kinetics via P-gp, confluent cell monolayers overexpressing P-gp are widely used. The purpose of this study is to obtain the mass action elementary rate constants for P-gp's transport and to functionally characterize members of P-gp's network, i.e., other transporters that transport P-gp substrates in hMDR1-MDCKII confluent cell monolayers and are essential to the net substrate flux. Transport of a range of concentrations of amprenavir, loperamide, quinidine and digoxin across the confluent monolayer of cells was measured in both directions, apical to basolateral and basolateral to apical. We developed a global optimization algorithm using the Particle Swarm method that can simultaneously fit all datasets to yield accurate and exhaustive fits of these elementary rate constants. The statistical sensitivity of the fitted values was determined by using 24 identical replicate fits, yielding simple averages and standard deviations for all of the kinetic parameters, including the efflux active P-gp surface density. Digoxin required additional basolateral and apical transporters, while loperamide required just a basolateral tranporter. The data were better fit by assuming bidirectional transporters, rather than active importers, suggesting that they are not MRP or active OATP transporters. The P-gp efflux rate constants for quinidine and digoxin were about 3-fold smaller than reported ATP hydrolysis rate constants from P-gp proteoliposomes. This suggests a roughly 3∶1 stoichiometry between ATP hydrolysis and P-gp transport for these two drugs. The fitted values of the elementary rate constants for these P-gp substrates support the hypotheses that the selective pressures on P-gp are to maintain a broad substrate range and to keep xenobiotics out of the cytosol, but not out of the apical membrane

Effect of Freezing and Type of Mucosa on Ex Vivo Drug Permeability Parameters

The porcine esophageal mucosa has been proposed as a substitute for the buccal mucosa barrier on ex vivo permeability studies mainly due to its large surface area as well as its easier preparation. Therefore, this study compared the ex vivo permeability parameters of two drugs (carmabazepine (CBZ) and triamcinolone acetonide (TAC)) with different permeabilities and physicochemical properties through buccal and esophageal mucosae using a Franz diffusion cell system and HPLC as detection method. The freezing effects on drug permeability parameters were also evaluated by comparing them when fresh and frozen tissues were used. The barrier properties were not affected by the freezing process since the obtained parameters for both drugs were similar in frozen and fresh tissues (buccal and esophageal mucosae). However, an increase of CBZ retention was shown in frozen tissues. Fresh and frozen esophageal mucosae provided higher permeation of TAC than on buccal mucosae while the obtained permeability parameters for CBZ were similar on both mucosae. According to our results, porcine esophageal mucosa could be used as a substitute for buccal mucosa on ex vivo studies involving CBZ but not TAC. Frozen tissues could be used as substitute for fresh tissues in both cases. However, any substitution should be done with care and only if previous tests were performed, because the results could differ depending on the tested drug