Stephan Kopp

A Pilot Study to Assess the Efficacy of Tariquidar to Inhibit P-glycoprotein at the Human Blood–Brain Barrier with (R)-11C-Verapamil and PET

Tariquidar, a potent, nontoxic, third-generation P-glycoprotein (P-gp) inhibitor, is a possible reversal agent for central nervous system drug resistance. In animal studies, tariquidar has been shown to increase the delivery of P-gp substrates into the brain by severalfold. The aim of this study was to measure P-gp function at the human blood–brain barrier (BBB) after tariquidar administration using PET and the model P-gp substrate (R)-11C-verapamil. Methods: Five healthy volunteers underwent paired (R)-11C-verapamil PET scans and arterial blood sampling before and at 2 h 50 min after intravenous administration of tariquidar (2 mg/kg of body weight). The inhibition of P-gp on CD56-positive peripheral lymphocytes of each volunteer was determined by means of the 123Rh efflux assay. Tariquidar concentrations in venous plasma were quantified using liquid chromatography/mass spectrometry. Results: Tariquidar administration resulted in significant increases (Wilcoxon test for paired samples) in the distribution volume (DV, +24% ± 15%) and influx rate constant (K1, +49% ± 36%) of (R)-11C-verapamil across the BBB (DV, 0.65 ± 0.13 and 0.80 ± 0.07, P = 0.043; K1, 0.034 ± 0.009 and 0.049 ± 0.009, P = 0.043, before and after tariquidar administration, respectively). A strong correlation was observed between the change in brain DV after administration of tariquidar and tariquidar exposure in plasma (r = 0.90, P = 0.037). The mean plasma concentration of tariquidar achieved during the second PET scan (490 ± 166 ng/mL) corresponded to 100% inhibition of P-gp function in peripheral lymphocytes. Conclusion: Tariquidar significantly increased brain penetration of (R)-11C-verapamil–derived activity due to increased influx. As opposed to peripheral P-gp function, central P-gp inhibition appeared to be far from complete after the administered tariquidar dose.

Structure–activity relationship studies of propafenone analogs based on P-glycoprotein ATPase activity measurements

Propafenone analogs (PAs) were previously identified as potent inhibitors of P-glycoprotein (Pgp)-mediated toxin efflux. For this as well as other classes of Pgp inhibitors, lipophilicity as well as hydrogen bond acceptor strength are important determinants of biological activity. The question as to whether a direct interaction between PA-type modulators and Pgp takes place was addressed by means of Pgp ATPase measurements and transport studies. Propafenone-type modulators stimulated ATPase activity up to 2-fold over basal activity in a concentration-dependent biphasic manner. Within a series of structural homologs, Ka values of ATPase stimulation strongly correlated with lipophilicity. Analogs containing a quaternary nitrogen stimulated Pgp ATPase activity with lesser efficacy, while Ka values were somewhat higher when compared to corresponding tertiary analogs. Transport studies performed in inside-out plasma membrane (I/O) vesicles demonstrated that analogs containing a tertiary nitrogen rapidly associated with the biomembrane. Quaternary analogs, which are restricted by a permanent positive charge in transiting the plasma membrane by diffusion, accumulated in Pgp containing I/O vesicles in an ATP-dependent and cyclosporin A-inhibitable manner, which identified them as Pgp substrates. Identical structure-activity relationships were found in either Pgp ATPase stimulation experiments in I/O vesicles or in toxin efflux inhibition studies using intact cells. Therefore, differences in membrane transit are not responsible for the observed structure-activity relationships.

Interactions between ABC‐transport proteins and the secondary Fusarium metabolites enniatin and beauvericin

Enniatins (ENN) and beauvericin (BEA) exert cytotoxic properties. Here, we observed that their impact on Ca(2+)-homeostasis can be reversed by exogenous ATP. Thus, we investigated whether membrane-located ATP-binding cassette (ABC) transporters influence ENNs- and BEA-induced cytotoxicity. In short-term exposure assays breast cancer resistance protein (ABCG2)-overexpression weakly but significantly reduced the cytotoxic activity of BEA but not ENNs. In contrast, multidrug resistance-associated protein-1 (ABCC1)- and P-glycoprotein (ABCB1)-overexpression was not protective under identical conditions. ABCG2-mediated resistance against BEA was reversible by ABCG2 modulators. In long-term exposure assays, ABCG2 and ABCB1 significantly protected against ENNs- and to a lesser extent BEA-induced cytotoxicity. Moreover, both fusariotoxins potently inhibited the ABCG2- and ABCB1-mediated efflux of specific fluorescent substrates, with BEA being more effective. Additionally, ATPase and photoaffinity-labelling assays proofed interaction of both substances with ABCG2 and ABCB1. Remarkably, 2 years selection of KB-3-1 cells against both fusariotoxins resulted only in two-fold ENNs but negligible BEA resistance. Interestingly, the selected sublines displayed upregulation of multidrug resistance proteins and crossresistance to other chemotherapeutics. Summarizing, ABCG2 and ABCB1 slightly but significantly protect human cells against ENNs- and BEA-induced cytotoxicity. However, both mycotoxins potently interact with ABCB1 and ABCG2 transport functions suggesting influences on bioavailability of xenobiotics and pharmaceuticals.

Multispecificity of Drug Transporters: Probing Inhibitor Selectivity for the Human Drug Efflux Transporters ABCB1 and ABCG2

Multidrug resistance transporters P‐glycoprotein/ABCB1 and ABCG2 limit the effect of a large number of cytostatic and cytotoxic drugs by energy‐dependent efflux. In experimental models, pump inhibitors reestablish sensitivity towards these drugs. Both transporters demonstrate remarkably broad and partly overlapping substrate specificity. Propafenone analogues are inhibitors of a large number of drug efflux pumps including P‐glycoprotein and ABCG2 as well as the microbial pumps. Here the two human ABC transporters ABCB1 and ABCG2 have been studied with respect to interaction with this class of compounds. Data indicate that within the same chemical scaffold, selectivity indices span three orders of magnitude. Compounds with the highest selectivity indices contain a non‐ionizable nitrogen atom. Qualitative and quantitative pharmacophore models indicate that hydrophobicity, the number of rotatable bonds, and the number of H‐bond acceptors are key features for both activity and selectivity.

RNA shape space topology

The distinction between continuous and discontinuous transitions is a long-standing problem in the theory of evolution. Because continuity is a topological property, we present a formalism that treats the space of phenotypes as a (finite) topological space, with a topology that is derived from the probabilities with which one phenotype is accessible from another through changes at the genotypic level. The shape space of RNA secondary structures is used to illustrate this approach. We show that evolutionary trajectories are continuous if and only if they follow connected paths in phenotype space.

Similarity based SAR (SIBAR) as tool for early ADME profiling

Estimation of bioavailability and toxicity at the very beginning of the drug development process is one of the big challenges in drug discovery. Most of the processes involved in ADME are driven by rather unspecific interactions between drugs and biological macromolecules. Within the past decade, drug transport pumps such as P-glycoprotein (Pgp) have gained increasing interest in the early ADME profiling process. Due to the high structural diversity of ligands of Pgp, traditional QSAR methods were only successful within analogous series of compounds. We used an approach based on similarity calculations to predict Pgp-inhibitory activity of a series of propafenone analogues. This SIBAR approach is based on selection of a highly diverse reference compound set and calculation of similarity values to these reference compounds. The similarity values (denoted as SIBAR descriptors) are then used for PLS analysis. Our results show, that for a set of 131 propafenone type compounds, models with good predictivity were obtained both in cross validation procedures and with a 31-compound external test set. Thus, these new descriptors might be a versatile tool for generation of predictive ADME models.

In silico screening with benzofurane- and benzopyrane-type MDR-modulators.

Development of inhibitors of the drug efflux pump P-glycoprotein is a versatile approach to overcome multi drug resistance (MDR) in tumor therapy. In an approach to lower the conformational flexibility of the lead compound propafenone, we synthesized a set of dihydrobenzofuranes and benzopyranones. In the case of the 4 diastereomeric dihydrobenzofuranes, no significant differences in activity regarding the configuration on the side-chains at the dihydrofurane moiety (cis or trans) was observed. This may be due to the high flexibility of the side-chains, which still allow mutually overlap of pharmacophores. The benzopyranones showed a good correlation between lipophilicity and activity with gnerally lower logpotency/logP ratios. This decrease may be due to the rigidization of the molecules. In an in silico screening approach, a set of diverse propafenone-type compounds was used to establish a pharmacophore model, which was used to screen the world drug index. Among the hits retrieved there are several compounds, which were previously described as MDR-modulators. This demonstrates the validity of the model.

Interaction field based and hologram based QSAR analysis of propafenone-type modulators of multidrug resistance.

Overexpression of membrane bound, ATP-dependent transport proteins is one of the predominant mechanisms leading to multiple drug resistance in tumor therapy as well as in the treatment of bacterial and fungal infections. In tumor therapy, P-glycoprotein (P-gp, ABCB1) is responsible for transport of a wide variety of natural product toxins out of tumor cells leading to decreased accumulation of cytotoxic drugs within the cells. Inhibition of P-gp thus gives rise to a resensitization of multidrug resistant tumor cells and represents a versatile approach for modulation of multidrug resistance. Within this paper, a set of propafenone-type inhibitors of P-gp were analyzed using both interaction field based methods such as CoMFA and CoMSIA and Hologram QSAR. With both methods, highly predictive models with q2-values>0.65 were obtained. Models using logP as additional descriptor generally yielded higher predictive power. On basis of unfavorable steric and favorable electrostatic and hydrophobic interaction fields, these models were able to explain all outlayers identified in previous Hansch-analyses. For HQSAR analysis, models with q2-values up to 0.72 were obtained. Positive influences were found for electron donating groups on the aromatic systems. Highly negative influences were found for diphenylalkylamine substituents, which is a further hint for steric hindrance. The models with highest predictive power were used for screening of a small virtual library. Synthesis and pharmacological testing of a sub set of this library showed that the external predictivity of the HQSAR models generally is lower than the internal one.

Role of Transmembrane Domain/Transmembrane Domain Interfaces of PGlycoprotein (ABCB1) in Solute Transport. Convergent Information from Photoaffinity Labeling, Site Directed Mutagenesis and in Silico Importance Prediction

Human P-glycoprotein (P-gp, ABCB1) plays an important role in the development of resistance to anticancer therapy. This ABC-transporter (ATP-binding cassette transporter) intercepts drugs at the level of the plasma membrane and effluxes them before they are able to reach their intracellular target structures. Inhibition of P-gp by low molecular weight compounds has been advocated as a concept for resensitization of cells to anticancer agents and several clinical studies in oncological patients have advanced to phase III. Even more importantly, P-glycoprotein also represents an antitarget. Its expression in cells lining the intestinal tract, the canalicular side of hepatocytes, renal tubuli and the blood brain barrier lead to interference with pharmacokinetics of compounds that are recognized as pump substrates. An early prediction of ADMET (Absorption-Distribution-Metabolism-Excretion-Toxicity) properties is important during drug development, since interference of a compound with P-gp might compromise its future development into a drug. Despite considerable efforts, the mechanism by which P-gp binds and transports its solutes remains unclear. Generation of homology models of the protein allowed integration of data obtained by photoaffinity labeling, in silico prediction of functional importance by evolutionary tracing and site directed mutagenesis. An integral view of data indicates that these three lines of evidence converge to indicate two pseudosymmetric P-gp drug binding pockets located at the two transmembrane domain interfaces.

Photoaffinity Labeling of P-Glycoprotein

The aim of the present review is to summarize recent progress in identifying substrate binding domains of P-glycoprotein by photoaffinity labeling. Preferred substrate binding regions have been identified using a number of photoaffinity ligands, including anthracyclines, the quinazoline iodoarylazidoprazosine (IAAP), dihydropyridines, taxanes and propafenones. These studies allowed identification of protein regions, which are involved in ligand interaction.