A Practical Perspective on the Evaluation of Small Molecule CNS Penetration in Drug Discovery.

The separation of the brain from blood by the blood-brain barrier and the bloodcerebrospinal fluid (CSF) barrier poses unique challenges for the discovery and development of drugs targeting the central nervous system (CNS). This review will describe the role of transporters in CNS penetration and examine the relationship between unbound brain (Cu-brain) and unbound plasma (Cu-plasma) or CSF (CCSF) concentration. Published data demonstrate that the relationship between Cu-brain and Cu-plasma or CCSF can be affected by transporter status and passive permeability of a drug and CCSF may not be a reliable surrogate for CNS penetration. Indeed, CCSF usually over-estimates Cu-brain for efflux substrates and it provides no additional value over Cu-plasma as the surrogate of Cu-brain for highly permeable non-efflux substrates. A strategy described here for the evaluation of CNS penetration is to use in vitro permeability, P-glycoprotein (Pgp) and breast cancer resistance protein efflux assays and Cu-brain/Cu-plasma in preclinical species. Cu-plasma should be used as the surrogate of Cu-brain for highly permeable non-efflux substrates with no evidence of impaired distribution into the brain. When drug penetration into the brain is impaired, we recommend using (total brain concentration * unbound fraction in the brain) as Cu-brain in preclinical species or Cu-plasma/in vitro Pgp efflux ratio if Pgp is the major limiting mechanism for brain penetration.

Ratios of biliary glutathione disulfide (GSSG) to glutathione (GSH): a potential index to screen drug-induced hepatic oxidative stress in rats and mice.

Hepatotoxicity of drug candidates is one of the major concerns in drug screening in early drug discovery. Detection of hepatic oxidative stress can be an early indicator of hepatotoxicity and benefits drug selection. The glutathione (GSH) and glutathione disulfide (GSSG) pair, as one of the major intracellular redox regulating couples, plays an important role in protecting cells from oxidative stress that is caused by imbalance between prooxidants and antioxidants. The quantitative determination of the GSSG/GSH ratios and the concentrations of GSH and GSSG have been used to indicate oxidative stress in cells and tissues. In this study, we tested the possibility of using the biliary GSSG/GSH ratios as a biomarker to reflect hepatic oxidative stress and drug toxicity. Four compounds that are known to alter GSH and GSSG levels were tested in this study. Diquat (diquat dibromide monohydrate) and acetaminophen were administered to rats. Paraquat and tert-butyl hydroperoxide were administered to mice to induce changes of biliary GSH and GSSG. The biliary GSH and GSSG were quantified using calibration curves prepared with artificial bile to account for any bile matrix effect in the LC-MS analysis and to avoid the interference of endogenous GSH and GSSG. With four examples (in rats and mice) of drug-induced changes in the kinetics of the biliary GSSG/GSH ratios, this study showed the potential for developing an exposure response index based on biliary GSSG/GSH ratios for predicting hepatic oxidative stress.

Application of on-line nano-liquid chromatography/mass spectrometry in metabolite identification studies.

Metabolite identification is an important part of the drug discovery and development process. High sensitivity is necessary to identify metabolic products in vitro and in vivo. The most common method utilizes standard high-performance liquid chromatography (4.6 mm i.d. column and 1 mL/min flow rate) coupled to tandem mass spectrometry (HPLC/MS/MS). We have developed a method that utilizes a nano-LC system coupled to a high-resolution tandem mass spectrometer to identify metabolites from in vitro and in vivo samples. Using this approach, we were able to increase the sensitivity of analysis by approximately 1000-fold over HPLC/MS. In vitro samples were analyzed after simple acetonitrile precipitation, centrifugation, and dilution. The significant improvement in sensitivity enabled us to conduct experiments at very low substrate concentrations (0.01 µM), and very low incubation volumes (20 µL). In vivo samples were injected after simple dilution without any pre-purification. All the metabolites identified by conventional HPLC/MS/MS were also identified using the nano-LC method. This study demonstrates a very sensitive approach to identifying phase I and II metabolites with throughput and separation equivalent to the standard HPLC/MS/MS method.

Species differences in distribution and prediction of human V(ss) from preclinical data.

Prediction of human volume of distribution at steady state (V(ss)) before first administration of a new drug candidate to humans has become an important part of the drug development process. This study examines the assumptions behind interspecies scaling techniques used to predict human V(ss) from preclinical data, namely the equivalency of V(ss,u) and/or f(ut) across species. In addition, several interspecies scaling techniques are evaluated side by side using a set of 67 reference compounds where observed V(ss) from rats, dogs, monkeys, and humans were compiled from the literature and where plasma protein binding was determined across species using an ultracentrifugation technique. Species similarity in V(ss,u) or f(ut) does not appear to be the norm among rats, dogs, monkeys, or humans. Despite this, interspecies scaling from rats, dogs, and monkeys is useful and can provide reasonably accurate predictions of human V(ss), although some interspecies scaling approaches were better than others. For example, the performance of the common V(ss,u) or f(ut) equivalency approaches using average V(ss,u) or f(ut) across three preclinical species was superior to allometric scaling techniques. In addition, considering data from several preclinical species, using the equivalency approach, was superior to scaling from any single species. Although the mechanistic tissue composition equations available in the Simcyp population-based pharmacokinetic simulator did not necessarily provide the most accurate predictions, and the equations used likely need refinement, they still provide the best opportunity for a mechanistic understanding and prediction of human V(ss).

Bioactivation of isothiazoles: minimizing the risk of potential toxicity in drug discovery.

Compound 1, (7-methoxy-N-((6-(3-methylisothiazol-5-yl)-[1,2,4]triazolo[4,3-b]pyridazin-3-yl)methyl)-1,5-naphthyridin-4-amine) is a potent, selective inhibitor of c-Met (mesenchymal-epithelial transition factor), a receptor tyrosine kinase that is often deregulated in cancer. Compound 1 displayed desirable pharmacokinetic properties in multiple preclinical species. Glutathione trapping studies in liver microsomes resulted in the NADPH-dependent formation of a glutathione conjugate. Compound 1 also exhibited very high in vitro NADPH-dependent covalent binding to microsomal proteins. Species differences in covalent binding were observed, with the highest binding in rats, mice, and monkeys (1100-1300 pmol/mg/h), followed by dogs (400 pmol/mg/h) and humans (144 pmol/mg/h). This covalent binding to protein was abolished by coincubation with glutathione. Together, these in vitro data suggest that covalent binding and glutathione conjugation proceed via bioactivation to a chemically reactive intermediate. The cytochrome (CYP) P450 enzymes responsible for this bioactivation were identified as cytochrome P450 3A4, 1A2, and 2D6 in human and cytochrome P450 2A2, 3A1, and 3A2 in rats. The glutathione metabolite was detected in the bile of rats and mice, thus demonstrating bioactivation occurring in vivo. Efforts to elucidate the structure of the glutathione adduct led to the isolation and characterization of the metabolite by NMR and mass spectrometry. The analytical data confirmed conclusively that the glutathione conjugation was on the 4-C position of the isothiazole ring. Such P450-mediated bioactivation of an isothiazole or thiazole group has not been previously reported. We propose a mechanism of bioactivation via sulfur oxidation followed by glutathione attack at the 4-position with subsequent loss of water resulting in the formation of the glutathione conjugate. Efforts to reduce bioactivation without compromising potency and pharmacokinetics were undertaken in order to minimize the potential risk of toxicity. Because of the exemplary pharmacokinetic/pharmacodynamic (PK/PD) properties of the isothiazole group, initial attempts were focused on introducing alternative metabolic soft spots into the molecule. These efforts resulted in the discovery of 7-(2-methoxyethoxy)-N-((6-(3-methyl-5-isothiazolyl)[1,2,4]triazolo[4,3-b]pyridazin-3-yl)methyl)-1,5-naphthyridin-4-amine (compound 2), with the major metabolic transformation occurring on the naphthyridine ring alkoxy substituent. However, a glutathione conjugate of compound 2 was produced in vitro and in vivo in a manner similar to that observed for compound 1. Furthermore, the covalent binding was high across species (360, 300, 529, 208, and 98 pmol/mg/h in rats, mice, dogs, monkeys, and humans, respectively), but coincubation with glutathione reduced the extent of covalent binding. The second viable alternative in reducing bioactivation involved replacing the isothiazole ring with bioisosteric heterocycles. Replacement of the isothiazole ring with an isoxazole or a pyrazole reduced the bioactivation while retaining the desirable PK/PD characteristics of compounds 1 and 2.

Esterase activities in the blood, liver and intestine of several preclinical species and humans.

Species and tissue differences in the activity of three major classes of esterases, carboxylesterase (CE), butyrylcholinesterase (BChE) and paraoxonase (PON), were studied. Substantial species differences in activity of these esterases were observed between the mouse, rat, dog monkey and human. Such species differences must be considered when using these preclinical species to optimize the pharmacokinetic properties of ester compounds intended for human use.

CYP3A induction by N-hydroxyformamide tumor necrosis factor-alpha converting enzyme/matrix metalloproteinase inhibitors use of a pregname X receptor activation assay and primary hepatocyte culture for assessing induction potential in humans.

A series of N-hydroxyformamide tumor necrosis factor-alpha converting enzyme (TACE)/matrix metalloprotease (MMP) inhibitors were evaluated for their potential to induce human cytochrome P450 3A (CYP3A). Two in vitro assays were used: 1) a cell-based reporter gene assay for activation of the pregnane X receptor (PXR), and 2) a primary "sandwich" culture of human hepatocytes. Approximately 50 TACE/MMP inhibitors were evaluated in the human PXR assay. A range of PXR activation was observed, 0 to 150% of the activation of the known human CYP3A inducer rifampicin. Three TACE/MMP inhibitors were evaluated in rat and human hepatocytes. Significantly higher PXR activation/CYP3A induction was observed in PXR/hepatocyte models, respectively, for (2R,3S) 3-(formyl-hydroxyamino)-2-(2-methyl-1-propyl)-4-methylpentanoic acid [(1S,2S)-2-methyl-1-(2-pyridylcarbamoyl)-1-butyl]amide (GW3333) compared with (2R,3S)-6,6,6-trifluoro-3-[formyl(hydroxy)amino]-2-isobutyl-N-[(1S,2R)-2-methoxy-1-[(1,3-thiazol-2-ylamino)carbonyl]propyl]hexanamide (GW6495) and (2R)-N-[(1S)-2,2-dimethyl-1-[(methylamino)carbonyl]-propyl]-2-[(1S)-1-[formyl(hydroxy)amino]ethyl]-5-phenylpentanamide (GI4023). The CYP3A induction level achieved with GW3333 at a concentration of approximately 10 microM in human hepatocytes was comparable to that achieved with rifampicin at a concentration of 10 microM. The extent of rodent CYP3A induction caused by GW3333 was confirmed in vivo after daily oral administration for 14 days to rats. In conclusion, GW3333 is a potential inducer of CYP3A expression in vivo in humans, but other N-hydroxyformamides are less likely to induce CYP3A.

Role of ADME characteristics in drug discovery and their in silico evaluation: in silico screening of chemicals for their metabolic stability.

Drug discovery is a long, arduous process broadly grouped into disease target identification, target validation, high-throughput identification of "hits" and "leads", lead optimization, and pre-clinical and clinical evaluation. Each area is a vast discipline in itself. However, all but the first two stages involve, to varying degrees, the characterization of absorption, distribution, metabolism, excretion, (ADME), and toxicity (T) of the molecules being pursued as potential drug candidates. Clinical failures of about 50% of the Investigational New Drug (IND) filings are attributed to their inadequate ADMET attributes. It is, therefore, no surprise that, in the current climate of social and regulatory pressure on healthcare costs, the pharmaceutical industry is searching for any means to minimize this attrition. Building mathematical models, called in silico screens, to reliably predict ADMET attributes solely from molecular structure is at the heart of this effort in reducing costs as well as development cycle times. This article reviews the emerging field of in silico evaluation of ADME characteristics. For different approaches that have been employed in this area, a critique of the scope and limitations of their descriptors, statistical methods, and reliability are presented. For instance, are geometry-based descriptors absolutely essential or is lower-level structure quantification equally good? What advantages, if any, do we have for methods like artificial neural networks over the least squares optimization methods with rigorous statistical diagnostics? Is any in silico screen worth application, let alone interpretation, if it is not adequately validated? Once deemed acceptable, what good is an in silico screen if it cannot be made available at the workbench of drug discovery teams distributed across the globe throughout multi-national pharmaceutical companies? These are not mere discussion points, rather this article embarks on the stepwise mechanics of developing a successful in silico screen. The process is exemplified by our efforts in developing one such screen for predicting metabolic stability of chemicals in a human S9 liver homogenate assay. A real-life use of this in silico screen in a variety of discovery projects at GlaxoSmithKline is presented, highlighting successes and limitations of such applications. Finally, we project some capabilities of in silico ADME tools for greater impact and contribution to successful, efficient drug discovery.