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)-C-11-verapamil. Methods: Five healthy volunteers underwent paired (R)-C-11-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 Rh-123 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 (K-1, +49% +/- 36%) of (R)-C-11-verapamil across the BBB (DV, 0.65 +/- 0.13 and 0.80 +/- 0.07, P = 0.043; K-1, 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)-C-11-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.

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.

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.

Polyspecific proteins, such as the cytochrome P450 enzyme family, the hERG potassium channel and the ABC-type multidrug efflux pumps ABCB1, ABCC1 and ABCG2 are increasingly recognised as playing a major role in bioavailability and toxicity of drugs. Although considerable efforts have been undertaken to establish in silico tools for predicting drug-protein interactions, especially in the field of ABC pumps, general applicable models are still rare. We recently showed that similarity-based descriptors are a versatile tool for prediction of ABCB1 (P-glycoprotein, P-gp) inhibitory activity. These descriptors are based on the calculation of similarity values between the compounds of the training set to a group of reference set compounds. The similarity values are subsequently used as independent variables in QSAR analyses. Within this paper, we address the influence of the reference set on the predictive ability of QSAR models for a set of 412 inhibitors of the multidrug efflux pump ABCB1. Four different reference sets were designed comprising highly diverse, drug-like compounds (A), a subset of the training set compounds (B), a set of manually selected ABCB1 inhibitors (C) and low molecular weight chemicals (D). Our results indicate that a combination of high diversity and an interaction of the reference compounds with the biological target is beneficial for yielding good models. The reference dataset tailored to the specific problem (the biological target) scored best in predicting the biological activity of compounds from an external test set.

Self-organizing maps were trained to separate high- and low-active propafenone-type inhibitors of P-glycoprotein. The trained maps were subsequently used to identify highly active compounds in a virtual screen of the SPECS compound library.

Structural and biochemical studies of ATP-binding cassette (ABC) transporters suggest that an ATP-driven dimerization of the nucleotide-binding domains (NBDs) is an important reaction intermediate of the transport cycle. Moreover, an asymmetric occlusion of ATP at one of the two ATP sites of P-glycoprotein (Pgp) may follow the formation of the symmetric dimer. It has also been postulated that ADP drives the dissociation of the dimer. In this study, we show that the E.S conformation of Pgp (previously demonstrated in the E556Q/E1201Q mutant Pgp) can be obtained with the wild-type protein by use of the nonhydrolyzable ATP analogue ATP-gamma-S. ATP-gamma-S is occluded into the Pgp NBDs at 34 degrees C but not at 4 degrees C, whereas ATP is not occluded at either temperature. Using purified Pgp incorporated into proteoliposomes and ATP-gamma-35S, we demonstrate that the occlusion of ATP-gamma-35S has an Eact of 60 kJ/mol and the stoichiometry of ATP-gamma-35S:Pgp is 1:1 (mol/mol). Additionally, in the conserved Walker B mutant (E556Q/E1201Q) of Pgp, we find occlusion of the nucleoside triphosphate but not the nucleoside diphosphate. Furthermore, Pgp in the occluded nucleotide conformation has reduced affinity for transport substrates. These data provide evidence for the ATP-driven dimerization and ADP-driven dissociation of the NBDs, and although two ATP molecules may initiate dimerization, only one is driven to an occluded pre-hydrolysis intermediate state. Thus, in a full-length ABC transporter like Pgp, it is unlikely that there is complete association and disassociation of NBDs and the occluded nucleotide conformation at one of the NBDs provides the power-stroke at the transport-substrate site.

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.

Terminal erythropoiesis is accompanied by extreme demand for iron to ensure proper hemoglobinization. Thus, erythroblasts must modify the “standard” post-transcriptional feedback regulation, balancing expression of ferritin (Fer; iron storage) versus transferrin receptor (TfR1; iron uptake) via specific mRNA binding of iron regulatory proteins (IRPs). Although erythroid differentiation involves high levels of incoming iron, TfR1 mRNA stability must be sustained and Fer mRNA translation must not be activated because iron storage would counteract hemoglobinization. Furthermore, translation of the erythroid-specific form of aminolevulinic acid synthase (ALAS-E) mRNA, catalyzing the first step of heme biosynthesis and regulated similarly as Fer mRNA by IRPs, must be ensured. We addressed these questions using mass cultures of primary murine erythroid progenitors from fetal liver, either undergoing sustained proliferation or highly synchronous differentiation. We indeed observed strong inhibition of Fer mRNA translation and efficient ALAS-E mRNA translation in differentiating erythroblasts. Moreover, in contrast to self-renewing cells, TfR1 stability and IRP mRNA binding were no longer modulated by iron supply. These and additional data stemming from inhibition of heme synthesis with succinylacetone or from iron overload suggest that highly efficient utilization of iron in mitochondrial heme synthesis during normal erythropoiesis alters the regulation of iron metabolism via the IRE/IRP system.

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 q(2)-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 q(2)-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.

P-glycoprotein (P-gp) is an energy-dependent multidrug efflux pump conferring resistance to cancer chemotherapy. Characterization of the mechanism of drug transport at a molecular level represents an important prerequisite for the design of pump inhibitors, which resensitize cancer cells to standard chemotherapy. In addition, P-glycoprotein plays an important role for early absorption, distribution, metabolism, excretion, and toxicity profiling in drug development. A set of propafenone-type substrate photoaffinity ligands has been used in this study in conjunction with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry to define the substrate binding domain(s) of P-gp in more detail. The highest labeling was observed in transmembrane segments 3, 5, 8, and 11. A homology model for P-gp was generated on the basis of the dimeric crystal structure of Vibrio cholerae MsbA, an essential lipid transporter. Thereafter, the labeling pattern was projected onto the 3D atomic-detail model of P-gp to allow a visualization of the binding domain(s). Labeling is predicted by the model to occur at the two transmembrane domain/transmembrane domain interfaces formed between the amino- and carboxyl-terminal half of P-gp. These interfaces are formed by transmembrane (TM) segments 3 and 11 on one hand and TM segments 5 and 8 on the other hand. Available data on LmrA and AcrB, two bacterial multidrug efflux pumps, suggest that binding at domain interfaces may be a general feature of polyspecific drug efflux pumps.

In line with our studies on propafenone-type inhibitors of P-glycoprotein (P-gp), we applied several methods to approach virtual screening tools for identification of new P-gp inhibitors on one hand and the molecular basis of ligand-protein interaction on the other hand. For virtual screening, a combination of autocorrelation vectors and selforganising artificial neural networks proved extremely valuable in identifying P-gp inhibitors with structurally new scaffolds. For a closer view on the binding region for propafenone-type ligands we applied a combination of pharmacophore-driven photoaffinity labeling and protein homology modeling. On LmrA, a bacterial homologue of P-gp, we were able to identify distinct regions on transmembrane helices 3, 5 and 6 which show significant changes in the labeling pattern during different steps of the catalytic cycle.

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.

Lipophilicity is one of the major determining physicochemical descriptors for P-glycoprotein (P-gp) inhibitory activity. Recently, Pajeva and Wiese showed that in case of P-gp interaction, lipophilicity may be regarded as space-directed property. In the present study, a series of propafenone-type P-gp inhibitors with systematically varying hydrophobicity distribution within the molecules were synthesised and pharmacologically tested. QSAR studies on the basis of multiple linear regression analysis showed that with increasing lipophilicity of the substituents on the amine moiety, the statistical significance of the indicator variables, denoting the substitution pattern on the central aromatic ring system, also increases. This indicates that the distribution of hydrophobicity within the molecules influences the mode of interaction with P-gp.