A new antitumour agent, batracylin, selected by a preclinical solid tumour model

The antitumour efficacy of batracylin was investigated in vivo against murine tumours. The drug displayed an original spectrum of activity. It was totally inactive against L1210 leukaemia and B16 melanoma, while it was marginally active against ascitic P388 leukaemia. However, the tumour growth of the subcutaneously (s.c.) implanted colon 38 adenocarcinoma (Co 38) was completely inhibited in 80-90% of the mice. Therapeutic efficacy was retained upon oral administration and the drug was able to induce tumour regression in the advanced Co 38 disease. These data justify the selection of batracylin for toxicological studies and possible clinical investigations.     

Modified particle swarm optimization algorithm for variable selection in MLR and PLS modeling: QSAR studies of antagonism of angiotensin II antagonists.

A version of modified particle swarm optimization (PSO) algorithm has been proposed. The PSO algorithm has been modified to adopt to the discrete combinatorial optimization problem and reduce the probability of sinking into local optima. In the modified PSO algorithm, the velocity represents the probability of element in each particle taking value 1 or 0. The modified discrete PSO algorithm is proposed to select variables in MLR and PLS modeling and to predict antagonism of angiotensin II antagonists. The modified C(p) is employed as fitness function. The results were compared to those obtained by GAs. Experimental results have demonstrated that the modified PSO is a useful tool for variable selection which converges quickly towards the optimal position.     

A new mechanism of methotrexate action revealed by target screening with affinity beads

Methotrexate (MTX) is the anticancer and antirheumatoid drug that is believed to block nucleotide synthesis and cell cycle by inhibiting dihydrofolate reductase activity. We have developed novel affinity matrices, termed SG beads, that are easy to manipulate and are compatible with surface functionalization. Using the matrices, here we present evidence that deoxycytidine kinase (dCK), an enzyme that acts in the salvage pathway of nucleotide biosynthesis, is another target of MTX. MTX modulates dCK activity differentially depending on substrate concentrations. 1-beta-D-Arabinofuranosylcytosine (ara-C), a chemotherapy agent often used in combination with MTX, is a nucleoside analog whose incorporation into chromosome requires prior phosphorylation by dCK. We show that, remarkably, MTX enhances incorporation and cytotoxicity of ara-C through regulation of dCK activity in Burkitt's lymphoma cells. Thus, this study provides new insight into the mechanisms underlying MTX actions and demonstrates the usefulness of the SG beads.     

A computationally based identification algorithm for estrogen receptor ligands: part 2. Evaluation of a hERalpha binding affinity model.

The objective of this study was to evaluate the capability of an expert system described in the previous paper (S. Bradbury et al., Toxicol. Sci. 58, 253-269) to identify the potential for chemicals to act as ligands of mammalian estrogen receptors (ERs). The basis of the expert system was a structure activity relationship (SAR) model, based on relative binding affinity (RBA) values for steroidal and nonsteroidal chemicals derived from human ERalpha (hERalpha) competitive binding assays. The expert system enables categorization of chemicals into (RBA ranges of < 0.1, 0.1 to 1, 1 to 10, 10 to 100, and >150% relative to 17ss-estradiol. In the current analysis, the algorithm was evaluated with respect to predicting RBAs of chemicals assayed with ERs from MCF7 cells, and mouse and rat uterine preparations. The best correspondence between predicted and observed RBA ranges was obtained with MCF7 cells. The agreement between predictions from the expert system and data from binding assays with mouse and rat ER(s) were less reliable, especially for chemicals with RBAs less than 10%. Prediction errors often were false positives, i.e., predictions of greater than observed RBA values. While discrepancies were likely due, in part, to species-specific variations in ER structure and ligand binding affinity, a systematic bias in structural characteristics of chemicals in the hERalpha training set, compared to the rodent evaluation data sets, also contributed to prediction errors. False-positive predictions were typically associated with ligands that had shielded electronegative sites. Ligands with these structural characteristics were not well represented in the training set used to derive the expert system. Inclusion of a shielding criterion into the original expert system significantly increased the accuracy of RBA predictions. With this additional structural requirement, 38 of 46 compounds with measured RBA values greater than 10% in hERalpha, MCF7, and rodent uterine preparations were correctly categorized. Of the remaining 129 compounds in the combined data sets, RBA values for 65 compounds were correctly predicted, with 47 of the incorrect predictions being false positives. Based upon this exploratory analysis, the modeling approach, combined with a high-quality training set of RBA values derived from a diverse set of chemical structures, could provide a credible tool for prioritizing chemicals with moderate to high ER binding affinity for subsequent in vitro or in vivo assessments.     

Point mutation of cytochrome P450 2A6 (a polymorphic variant CYP2A6.25) confers new substrate specificity towards flavonoids

CYP2A6 is a major hepatic member of the cytochrome P450 family in humans. Much variation in CYP2A6 levels and activity can be attributed to genetic polymorphisms of this gene. CYP2A6*25 comprises an amino acid substitution, F118L. To clarify the effect of the leucine substitution at position 118 in CYP2A6.25, this variant, wild type CYP2A6 and three additional variants consisting of artificial mutations at the substrate binding site (position 481) suggested by earlier reports using random mutagenesis studies [CYP2A6.1, CYP2A6.25, CYP2A6.1(F118A), CYP2A6.1(A481G) and CYP2A6.25(A481G)], were co‐expressed with NADPH‐cytochrome P450 reductase in E. coli. The hydroxylase activity of these variants toward 7‐ethoxycoumarin, coumarin, flavone, α‐naphthoflavone, flavanone and hydroxyflavanone were examined. All the mutants had lower activities for coumarin 7‐hydroxylation than the wild type. All the mutants showed higher activities for flavone and α‐naphthoflavone compared with CYP2A6.1. CYP2A6.1 had the highest flavanone 2′‐hydroxylase activity, whereas CYP2A6.25 had the highest 6‐ and 4′‐hydroxylase activities. CYP2A6.1(F118A), CYP2A6.1(A481G) and CYP2A6.25(A481G) had higher flavanone 3′‐hydroxylase activities than CYP2A6.1 and CYP2A6.25. Furthermore, 4′‐hydroxyflavanone was metabolized by CYP2A6.25. These results indicate that the CYP2A6.25 mutation confers new substrate specificity towards flavonoids. Copyright © 2015 John Wiley & Sons, Ltd.     

Drug efficiency: a new concept to guide lead optimization programs towards the selection of better clinical candidates

As a result of their wide acceptance and conceptual simplicity, drug-like concepts are having a major influence on the drug discovery process, particularly in the selection of the 'optimal' absorption, distribution, metabolism, excretion and toxicity and physicochemical parameters space. While they have an undisputable value when assessing the potential of lead series or in evaluating inherent risk of a portfolio of drug candidates, they result much less useful in weighing up compounds for the selection of the best potential clinical candidate. We introduce the concept of drug efficiency as a new tool both to guide the drug discovery program teams during the lead optimization phase and to better assess the developability potential of a drug candidate.     

Drug efficiency: a new concept to guide lead optimization programs towards the selection of better clinical candidates

As a result of their wide acceptance and conceptual simplicity, drug-like concepts are having a major influence on the drug discovery process, particularly in the selection of the ‘optimal’ absorption, distribution, metabolism, excretion and toxicity and physicochemical parameters space. While they have an undisputable value when assessing the potential of lead series or in evaluating inherent risk of a portfolio of drug candidates, they result much less useful in weighing up compounds for the selection of the best potential clinical candidate. We introduce the concept of drug efficiency as a new tool both to guide the drug discovery program teams during the lead optimization phase and to better assess the developability potential of a drug candidate.     

Clinical evaluation of P-glycoprotein inhibition by venetoclax: a drug interaction study with digoxin

1. Venetoclax is a novel, small molecule B-cell lymphoma-2 (BCL-2) inhibitor that has demonstrated clinical efficacy in a variety of haematological malignancies. Since venetoclax is an inhibitor of P glycoprotein (P-gp) transporter, a study was conducted in healthy, female volunteers to evaluate the effect of venetoclax on the pharmacokinetics of digoxin, a P-gp probe substrate.

2. Volunteers received a single oral dose of digoxin (0.5?mg) with or without a single oral dose of venetoclax (100 ?mg). Serial blood samples were obtained for pharmacokinetic assessments of digoxin and venetoclax and serial urine samples were obtained for measurement of digoxin concentrations. Safety was assessed throughout the study.

3. Coadministration of digoxin and venetoclax increased digoxin maximum observed plasma concentration (C_max) by 35% and area under the plasma-concentration time curve (AUC_0–∞) by 9%. Digoxin half-life, renal clearance and the fraction excreted unchanged in urine remained relatively similar. The results of this study indicate that venetoclax can increase the concentrations of P-gp substrates. Narrow therapeutic index P-gp substrates should be administered six hours prior to venetoclax to minimise the potential interaction.     

Pharmacogenomics of drug transporters: a new approach to functional analysis of the genetic polymorphisms of ABCB1 (P-glycoprotein/MDR1)

In the 21st century, emerging genomic technologies (i.e., bioinformatics, functional genomics, and pharmacogenomics) are shifting the paradigm of drug discovery research and improving the strategy of medical care for patients. In order to realize the personalized medicine, it is critically important to understand molecular mechanisms underlying inter-individual differences in the drug response, namely, pharmacological effect vs. side effect. Evidence is now accumulating to strongly suggest that drug transporters are one of the determinant factors governing the pharmacokinetic profile of drugs. Effort has been made to identify genetic variation in drug transporter genes. In particular, genetic variations of the human ABCB1 (P-glycoprotein/MDR1) gene have been most extensively studied. Hitherto more than fifty single nucleotide polymorphisms (SNPs) and insertion/deletion polymorphisms in the ABCB1 gene have been reported. However, at the present time, information is still limited with respect to the actual effect of those genetic polymorphisms on the function of ABCB1. In this context, we have undertaken functional analyses of ABCB1 polymorphisms. To quantify the impact of genetic polymorphisms on the substrate specificity of ABCB1, we have developed a high-speed screening system and a new structure-activity relationship (SAR) analysis method. This review addresses functional aspects of the genetic polymorphism of ABCB1 and provides the standard method to evaluate the effect of polymorphisms on the function.     

Evaluation of human P-glycoprotein (MDR1/ABCB1) ATPase activity assay method by comparing with in vitro transport measurements: Michaelis-Menten kinetic analysis to estimate the affinity of P-glycoprotein to drugs

Human ABC transporter P-glycoprotein (P-gp/ABCB1) encoded by the multidrug resistance (MDR1) gene is recognized as one of the most important factors regulating pharmacokinetics of a number of clinically important drugs because of its function of extruding a wide range of structurally unrelated amphiphilic and hydrophobic drugs from the inside to the outside of cells in an ATP-driven mechanism. In the present study, we have evaluated the high-speed ATPase activity assay method by comparing with in vitro transport assay systems using MDR1-transfected MDR1-MDCK cells. Since substrate drugs were found to interfere with the photometric detection of inorganic phosphate (Pi) that was liberated according to the hydrolysis of ATP to ADP in ATPase activity assay, at first, a method in which the amount of Pi can be calculated correctly. Results demonstrate that the kinetic parameters obtained in ATPase activity assay are not necessarily correspond with those in in vitro transport assay, suggesting that these methods might detect the different processes of drug-P-gp interaction. The combining of the ATPase activity assay and in vitro transport technologies provides us the insight into mechanisms of the membrane transport of drugs by P-gp.     

A mouse model of early social interactions after prenatal drug exposure: a genetic investigation

The aim of the present study was to (i) characterise the mouse behavioural profile (particularly social interactions) during the preweaning period, (ii) assess the effects of prenatal exposure to an anticonvulsant drug widely used in clinical practice, (iii) examine possible genetic differences both in baseline behavioural profiles and in sensitivity to drug-induced effects. Following a balanced intra-strain fostering procedure, the offspring of C57BL/6J and CBA inbred mouse strains from mothers exposed during pregnancy to either phenobarbitone (PHB, 60 mg/kg) or vehicle (VEH) given intraperitoneally (IP) during days 10–16 of gestation, were observed for early social interactions in the home cage during the last part of the preweaning period (days 20 and 21). The behavioural repertoires of the two strains differed markedly, in that C57 pups were more involved in Play soliciting, Locomotor-rotational play, and in Maintenance activities, while CBA mice spent much more time being inactive or exploring the environment. C57 and CBA mice also differed in the sensitivity to PHB exposure. On the whole, time spent in Investigative/Affiliative behaviours was increased, while the frequency of Play soliciting patterns was reduced in PHB-treated mice. The treatment of the fostering mother had only negligible effects, suggesting that PHB-induced changes in behaviour were largely due to direct effects of the substance on the foetus. These results indicate that specific items of the preweaning behavioural profile, and particularly social interactions, are influenced by early PHB exposure, and that the responses are heavily affected by the genotype.Preliminary results have been presented at the Joint Meeting of the British Association for Psychopharmacology and the European Behavioural Pharmacology Society, 2–7 August 1992, Cambridge, UK     

Dihydro-beta-agarofuran sesquiterpenes: a new class of reversal agents of the multidrug resistance phenotype mediated by P-glycoprotein in the protozoan parasite Leishmania

Leishmaniasis is the most important emerging and uncontrolled infectious disease and the second cause of death among parasitic diseases, after Malaria. One of the main problems concerning the control of infectious diseases is the increased resistance to usual drugs. Overexpression of P-glycoprotein (Pgp)-like transporters represents a very efficient mechanism to reduce the intracellular accumulation of drugs in cancer cells and parasitic protozoans, thus conferring a multidrug resistance (MDR) phenotype. Pgps are active pumps belonging to the ATP-binding cassette (ABC) superfamily of proteins. The inhibition of the activity of these proteins represents an interesting way to control drug resistance both in cancer and in infectious diseases. Most conventional mammalian Pgp-MDR modulators are ineffective in the modulation of Pgp activity in the protozoan parasite Leishmania. Consequently, there is a necessity to find effective modulators of Pgp-MDR for protozoan parasites. In this review we describe a rational strategy developed to find specific Pgp-MDR modulators in Leishmania, using natural and semisynthetic dihydro-beta-agarofuran sesquiterpenes from Celastraceae plants. A series of these compounds have been tested on a MDR Leishmania tropica line overexpressing a Pgp transporter to determine their ability to revert the resistance phenotype and to modulate intracellular drug accumulation. Almost all of these natural compounds showed potent reversal activity with different degrees of selectivity and a significant low toxicity. The three-dimensional quantitative structure-activity relationship using the comparative molecular similarity indices analysis (CoMSIA), was employed to characterize the requirements of these sesquiterpenes as modulators at Pgp-like transporter in Leishmania.     

A new approach to characterise pharmaceutical aerosols: Measurement of aerosol from a single dose aqueous inhaler with an optical particle counter

An in-line sampling system with dilution units for aqueous droplet aerosols from single dose inhalers (Berodual Respimat^®, Boehringer Ingelheim Pharma GmbH & Co. KG, Germany) for an optical particle counter is described. The device has been designed to interface with a white light aerosol spectrometer (welas^® digital 2100, Palas^® GmbH, Germany) that allows the time-resolved measurement of highly concentrated aerosols. Performance of the sampling system with regard to the measured particle size distribution (PSD) is compared to Next Generation Impactor (NGI) and to laser diffraction measurements (Sympatec Inhaler and open bench). Optimal settings of the sampling system lead to PSDs that correspond well to those measured by the evaporation minimising NGI approach (15 L/min, cooled) and laser diffraction. The better accuracy of the new dilution unit in presence of an additional aerosol sampling filter in comparison to a previously described aerosol sampling system is shown for different settings of the sampling system. This allows a more precise quantification of the delivered drug amount which is also well correlated to the aerosol volume measured by the welas^® system. In addition, using time-resolved welas^® measurements provides insight into droplet size, evaporation and size changes of aerosol clouds delivered by liquid inhalers.     

Effects of antivenom on Buthus occitanus tunetanus (Bot) scorpion venom pharmacokinetics: towards an optimization of antivenom immunotherapy in a rabbit model.

The pharmacokinetic parameters of Bot venom were determined in a rabbit model using a specific sandwich type ELISA. After intravenous injection, Bot venom seems to follow a three-compartment pharmacokinetic open model. However, after subcutaneous injection, the distribution and elimination kinetics of Bot venom are best characterized by a bi-compartment pharmacokinetic open model. Bot venom is completely absorbed from its SC injection site, since the absolute bioavailability is higher than 95%; the maximum plasma venom concentration is reached between 30 and 60 min after venom injection. Bot venom diffuses rapidly to tissues and is distributed in a high body volume. The total body clearance of Bot venom is relatively high in agreement with a low mean residence time. Antivenom immunotherapy experiments were carried out in the rabbit model, in order to select the most appropriate strategy for the adequate use of this treatment. The effects of the route, the dose and the delay of antivenom injection on Bot venom pharmacokinetic parameters and on the antivenom immunotherapy efficacy were then studied. These studies indicated in particular that: (1) the injection of a minimal neutralizing antivenom dose is required for a complete and permanent neutralization of circulating venom antigens; this dose is named minimal (threshold) efficacious antivenom dose; (2) the intramuscular route is not the most appropriate way for antivenom injection; and (3) a delayed antivenom immunotherapy remains efficacious especially on the neutralization of the remaining circulating venom. In short, these experimental studies show that early intravenous injection of an appropriate antivenom dose (at least the threshold efficacious dose) is the indicated way for a rapid and permanent neutralization of circulating scorpion venom toxins.     

A new warfarin dosing algorithm including VKORC1 3730 G > A polymorphism: comparison with results obtained by other published algorithms

Purpose

Warfarin dosing is affected by clinical and genetic variants, but the contribution of the genotype associated with warfarin resistance in pharmacogenetic algorithms has not been well assessed yet. We developed a new dosing algorithm including polymorphisms associated both with warfarin sensitivity and resistance in the Italian population, and its performance was compared with those of eight previously published algorithms.

Methods

Clinical and genetic data (CYP2C9*2, CYP2C9*3, VKORC1 –1639?G > A, and VKORC1 3730?G > A) were used to elaborate the new algorithm. Derivation and validation groups comprised 55 (58.2% men, mean age 69?years) and 40 (57.5% men, mean age 70?years) patients, respectively, who were on stable anticoagulation therapy for at least 3 months with different oral anticoagulation therapy (OAT) indications.

Results

Performance of the new algorithm, evaluated with mean absolute error (MAE) defined as the absolute value of the difference between observed daily maintenance dose and predicted daily dose, correlation with the observed dose and R² value, was comparable with or slightly lower than that obtained using the other algorithms. The new algorithm could correctly assign 53.3%, 50.0%, and 57.1% of patients to the low (≤25 mg/week), intermediate (26–44?mg/week) and high (≥ 45?mg/week) dosing range, respectively. Our data showed a significant increase in predictive accuracy among patients requiring high warfarin dose compared with the other algorithms (ranging from 0% to 28.6%).

Conclusions

The algorithm including VKORC1 3730?G > A, associated with warfarin resistance, allowed a more accurate identification of resistant patients who require higher warfarin dosage.