Characterization of efflux transporters involved in distribution and disposition of apixaban.

The studies reported here were conducted to investigate the transport characteristics of apixaban (1-(4-methoxyphenyl)-7-oxo-6-(4-(2-oxopiperidin-1-yl)phenyl)-4,5,6,7-tetrahydro-1H-pyrazolo[3,4-c]pyridine-3-carboxamide) and to understand the impact of transporters on apixaban distribution and disposition. In human permeability glycoprotein (P-gp)- and breast cancer resistance protein (BCRP)-cDNA-transfected cell monolayers as well as Caco-2 cell monolayers, the apparent efflux ratio of basolateral-to-apical (PcB-A) versus apical-to-basolateral permeability (PcA-B) of apixaban was >10. The P-gp- and BCRP-facilitated transport of apixaban was concentration- and time-dependent and did not show saturation over a wide range of concentrations (1-100 µM). The efflux transport of apixaban was also demonstrated by the lower mucosal-to-serosal permeability than that of the serosal-to-mucosal direction in isolated rat jejunum segments. Apixaban did not inhibit digoxin transport in Caco-2 cells. Ketoconazole decreased the P-gp-mediated apixaban efflux in Caco-2 and the P-gp-cDNA-transfected cell monolayers, but did not affect the apixaban efflux to a meaningful extent in the BCRP-cDNA-transfected cell monolayers. Coincubation of a P-gp inhibitor (ketoconazole or cyclosporin A) and a BCRP inhibitor (Ko134) provided more complete inhibition of apixaban efflux in Caco-2 cells than separate inhibition by individual inhibitors. Naproxen inhibited apixaban efflux in Caco-2 cells but showed only a minimal effect on apixaban transport in the BCRP-transfected cells. Naproxen was the first nonsteroidal antiinflammatory drug that was demonstrated as a weak P-gp inhibitor. These results demonstrate that apixaban is a substrate for efflux transporters P-gp and BCRP, which can help explain its low brain penetration, and low fetal exposures and high milk excretion in rats.

Validation of in vitro cell-based human blood-brain barrier model using clinical positron emission tomography radioligands to predict in vivo human brain penetration.

We have evaluated a novel in vitro cell-based human blood-brain barrier (BBB) model that could predict in vivo human brain penetration for compounds with different BBB permeabilities using the clinical positron emission tomography (PET) data. Comparison studies were also performed to demonstrate that the in vitro cell-based human BBB model resulted in better predictivity over the traditional permeability model in discovery organizations, Caco-2 cells. We evaluated the in vivo BBB permeability of [(18)F] and [(11)C]-compounds in humans by PET imaging. The in vivo plasma-brain exchange parameters used for comparison were determined in humans by PET using a kinetic analysis of the radiotracer binding. For each radiotracer, the parameters were determined by fitting the brain kinetics of the radiotracer using a two-tissue compartment model of the ligand-receptor interaction. Bidirectional transport studies with the same compounds as in in vivo studies were carried out using the in vitro cell-based human BBB model as well as Caco-2 cells. The in vitro cell-based human BBB model has important features of the BBB in vivo and is suitable for discriminating between CNS and non-CNS marketed drugs. A very good correlation (r(2) = 0.90; P < 0.001) was demonstrated between in vitro BBB permeability and in vivo permeability coefficient. In contrast, a poor correlation (r(2) = 0.17) was obtained between Caco-2 data and in vivo human brain penetration. This study highlights the potential of this in vitro cell-based human BBB model in drug discovery and shows that it can be an extremely effective screening tool for CNS programs.

Development of a quantitative LC-MS/MS analytical method coupled with turbulent flow chromatography for digoxin for the in vitro P-gp inhibition assay.

Caco-2 cells, the human colon carcinoma cells, are typically used for screening compounds for their permeability characteristics and P-glycoprotein (P-gp) interaction potential during discovery and development. The P-gp inhibition of test compounds is assessed by performing bi-directional permeability studies with digoxin, a well established P-gp substrate probe. Studies performed with digoxin alone as well as digoxin in presence of test compounds as putative inhibitors constitute the P-gp inhibition assay used to assess the potential liability of discovery compounds. Radiolabeled (3)H-digoxin is commonly used in such studies followed by liquid scintillation counting. This manuscript describes the development of a sensitive, accurate, and reproducible LC-MS/MS method for analysis of digoxin and its internal standard digitoxin using an on-line extraction turbulent flow chromatography coupled to tandem mass spectrometric detection that is amendable to high throughput with use of 96-well plates. The standard curve for digoxin was linear between 10 nM and 5000 nM with regression coefficient (R(2)) of 0.99. The applicability and reliability of the analysis method was evaluated by successful demonstration of efflux ratio (permeability B to A over permeability A to B) greater than 10 for digoxin in Caco-2 cells. Additional evaluations were performed on 13 marketed compounds by conducting inhibition studies in Caco-2 cells using classical P-gp inhibitors (ketoconazole, cyclosporin, verapamil, quinidine, saquinavir etc.) and comparing the results to historical data with (3)H-digoxin studies. Similarly, P-gp inhibition studies with LC-MS/MS analytical method for digoxin were also performed for 21 additional test compounds classified as negative, moderate, and potent P-gp inhibitors spanning multiple chemo types and results compared with the historical P-gp inhibition data from the (3)H-digoxin studies. A very good correlation coefficient (R(2)) of 0.89 between the results from the two analytical methods affords an attractive LC-MS/MS analytical option for labs that need to conduct the P-gp inhibition assay without using radiolabeled compounds.

Development of an in silico model for predicting efflux substrates in Caco-2 cells.

P-glycoprotein (P-gp) is an ATP dependent efflux transporter protein that has been demonstrated to play a critical role in affecting the absorption, metabolism, elimination and toxicity (ADMET) characteristics of a large number of marketed drugs. Therefore, it is important to evaluate whether or not compounds of interest are likely to interact with P-gp and/or other efflux transporters. An in silico efflux substrate (potential substrate of P-gp and or other transporters) classification model has been developed based on in vitro bi-directional Caco-2 cell permeability and five descriptors, using 14 marketed drugs and >100 discovery compounds synthesized at Bristol-Myers Squibb PRI. The model suggests that efflux substrates tend to contain electron deficient aromatic rings, are highly branched, and most contain tertiary nitrogen. This model demonstrated approximately 80% predictability of both non-substrates and substrates from a training set of 125 compounds. For a validation set of 46 compounds the predictability was approximately 72% for non-substrates and approximately 89% for substrates. The model has the potential to be used both as a filter for library designs to identify potential efflux substrates in early discovery as well as a primary screening methodology to identify the efflux substrate potential of drug candidates.

Peptide transporter substrate identification during permeability screening in drug discovery: comparison of transfected MDCK-hPepT1 cells to Caco-2 cells.

The purpose of this study was to investigate the utility of stably transfected MDCK-hPepT1 cells for identifying peptide transporter substrates in early drug discovery and compare the characteristics of this cell line with Caco-2 cells. MDCK-hPepT1, MDCK-mock, and Caco-2 cells grown to confluence on 24-well Transwell were used for this study. Expression levels of different transporter proteins (PepT1, PepT2, P-gp) in these cell lines were assessed by qRT-PCR. Permeability studies were conducted in parallel in all the cells with a diverse set of peptide substrates using the optimized experimental condition: 100 microM, apical pH 6.0, basolateral pH 7.4, 2 hr incubation at 37 degrees C. Permeability studies were also conducted with classical P-gp substrates (tested in bi-directional mode) and paracellularly absorbed probes to investigate the differences between the cell lines. As expected, MDCK-hPepT1 cells express significantly higher level of PepT1 mRNA compared to both Caco-2 and MDCK-mock cells. Efflux transporter, P-gp, was expressed adequately in all the cell lines. Permeability studies demonstrated that classical peptide substrates had significantly higher permeability in stably transfected MDCK-hPepT1 cells compared to MDCK-mock and Caco-2 cells. The transfected MDCK-hPepT1 cells were qualitatively similar to Caco-2 cells with respect to functional P-gp efflux activity and paracellular pore activity. Stably transfected MDCK-hPepT1 cells have been demonstrated as a viable alternative to Caco-2 cells for estimating the human absorption potential of peptide transporter substrates. These cells behave similar to Caco-2 cells with regards to P-gp efflux and paracellular pore activity but demonstrate greater predictability of absorption values for classical peptide substrates (for which Caco-2 cells under-estimate oral absorption).

Identification of Tricyclic Agonists of Sphingosine-1-phosphate Receptor 1 (S1P1) Employing Ligand-Based Drug Design.

Fingolimod (1) is the first approved oral therapy for the treatment of relapsing remitting multiple sclerosis. While the phosphorylated metabolite of fingolimod was found to be a nonselective S1P receptor agonist, agonism specifically of S1P1 is responsible for the peripheral blood lymphopenia believed to be key to its efficacy. Identification of modulators that maintain activity on S1P1 while sparing activity on other S1P receptors could offer equivalent efficacy with reduced liabilities. We disclose in this paper a ligand-based drug design approach that led to the discovery of a series of potent tricyclic agonists of S1P1 with selectivity over S1P3 and were efficacious in a pharmacodynamic model of suppression of circulating lymphocytes. Compound 10 had the desired pharmacokinetic (PK) and pharmacodynamic (PD) profile and demonstrated maximal efficacy when administered orally in a rat adjuvant arthritis model.

Cell culture-based models for intestinal permeability: a critique.

The model systems that are currently used to determine the intestinal permeability characteristics of discovery compounds often represent a combination of high-throughout, but less predictive, in silico and in vitro models and low-throughput, but more predictive, in vivo models. Cell-based permeability models have been integrated into the discovery paradigm for some time and represent the "method of choice" across the industry. Here, in addition to an objective analysis of the utility of cell culture models for permeability screening, anticipated future trends in the field of cell culture models are discussed.

A combined cell based approach to identify P-glycoprotein substrates and inhibitors in a single assay.

The objective of this project was to develop a cell based in vitro experimental procedure that can differentiate P-glycoprotein (P-gp) substrates from inhibitors in a single assay. Caco-2 cells grown to confluency on 12-well Transwell were used for this study. The efflux permeability (B to A) of P-gp specific probe (viz., digoxin) in the presence of test compounds (e.g. substrates, inhibitors and non-substrates of P-gp) was monitored, and the influx permeability (A to B) of test compounds was evaluated after complete P-gp blockade. Radiolabelled digoxin was added on the basolateral side with buffer on the apical side. The digoxin concentration appearing on the apical side represents digoxin efflux permeability during the control phase (0-1 h period). After 1 h, a test compound (10 microM) was added on the apical side. The reduced efflux permeability of digoxin suggests that the added test compound is an inhibitor. The influx permeability of test compound is also determined during the 1-2 h study period by measuring the concentration of the test compound in the basolateral side. At the end of 2 h, a potent P-gp inhibitor (GF120918) was added. The increased influx permeability of test compound during the 2-3 h incubation period indicates that the added test compound is a substrate. Samples were taken from both sides at the end of 1-3 h and the concentrations of the test compounds and digoxin were quantitated. Digoxin efflux permeability remained unchanged when incubated with P-gp substrates (e.g., etoposide, rhodamine123, taxol). However, when a P-gp inhibitor was added to the apical side, the digoxin efflux (B to A permeability) was significantly reduced (ketoconazole=51% reduction) as expected. The influx permeability of substrates increased significantly (rhodamine123=70%, taxol=220%, digoxin=290%) after the P-gp inhibitor (GF120918) was introduced, whereas the influx permeability of P-gp inhibitor and non-substrates was not affected by GF120918. Thus, this combined assay provides an efficient cell based in vitro screening tool to simultaneously distinguish compounds that are P-gp substrates from P-gp inhibitors.

Validation of the 96 well Caco-2 cell culture model for high throughput permeability assessment of discovery compounds.

The use of Caco-2 cells for permeability screening of discovery compounds is quite well established and serves as the "method-of-choice" across the pharmaceutical industries worldwide. The typical permeability-screening model involves growing cells on a 12 well or 24 well transwell format. In this manuscript, we report the use of Caco-2 cells grown on 96 well transwell plates for screening of discovery compounds to assess their permeability characteristics. A set of standard compounds (marketed compounds) belonging to the various class of Biopharmaceutics Classification System (BCS) were used to assess the utility of the 96 well Caco-2 cells. Extensive validations were also performed with approximately 160 Bristol-Myers Squibb (BMS) discovery compounds by comparing the permeability values in the 96 well Caco-2 cells with the in-house 24 well Caco-2 cells. Functional Caco-2 cells with intact monolayers could be established in the 96 well format using optimized seeding and culturing conditions. The permeability of BCS compounds in the 96 well format was found to be comparable to the permeability in 24 well format. Similarly, there was very good correlation (R2=0.93) between the two formats for the extensive validation performed with in-house discovery compounds. The validated 96 well Caco-2 cell system presents a very attractive permeability screening tool that can perform much more efficiently than the conventional 12 well or 24 well systems while providing the same high quality permeability screening data.

A novel high-throughput automated chip-based nanoelectrospray tandem mass spectrometric method for PAMPA sample analysis.

Parallel artificial membrane permeability assay (PAMPA) has recently gained popularity as a novel, high-throughput assay capable of rapidly screening compounds for their permeability characteristics in early drug discovery. The analytical techniques typically used for PAMPA sample analysis are HPLC-UV, LC/MS or more recently UV-plate reader. The LC techniques, though sturdy and accurate, are often labor and time intensive and are not ideal for high-throughput. On the other hand, UV-plate reader technique is amenable to high-throughput but is not sensitive enough to detect the lower concentrations that are often encountered in early drug discovery work. This article investigates a novel analytical method, a chip-based automated nanoelectrospray mass spectrometric method for its ability to rapidly analyze PAMPA permeability samples. The utility and advantages of this novel analytical method is demonstrated by comparing PAMPA permeability values obtained from nanoelectrospray to those from conventional analytical methods. Ten marketed drugs having a broad range of structural space, physico-chemical properties and extent of intestinal absorption were selected as test compounds for this investigation. PAMPA permeability and recovery experiments were conducted with model compounds followed by analysis by UV-plate reader, UV-HPLC as well as the automated nanoelectrospray technique (nanoESI-MS/MS). There was a very good correlation (r(2) > 0.9) between the results obtained using nanoelectrospray and the other analytical techniques tested. Moreover, the nanoelectrospray approach presented several advantages over the standard techniques such as higher sensitivity and ability to detect individual compounds in cassette studies, making it an attractive high-throughput analytical technique. Thus, it has been demonstrated that nanoelectrospray analysis provides a highly efficient and accurate analytical methodology to analyze PAMPA samples generated in early drug discovery.

Utility of 96 well Caco-2 cell system for increased throughput of P-gp screening in drug discovery.

The use of Caco-2 cells for screening of discovery compounds for their permeability characteristics and P-glycoprotein interactions is well established and used routinely in pharmaceutical industries world-wide. The screening model involves growing cells on 12 or 24 well transwell format. In this manuscript, we report the use of Caco-2 cells grown on 96 well transwell plates for screening compounds for their potential to interact with P-gp. Bi-directionality studies were performed with known P-gp substrates such as saquinavir, indinavir, vinblastine, vincristine, verapamil, digoxin and taxol. P-gp inhibition studies were also conducted using radiolabeled digoxin as the probe. The results demonstrated that P-gp substrates had efflux ratios (Pc (B to A)/Pc (A to B)) in the 96 well format that were comparable to the ratios seen in 12 and 24 well format. Inhibition of digoxin efflux transport in presence of the test compounds (P-gp substrates) demonstrated that 96 well cells express adequate amounts of efflux transporters and perform as well as the 12 and 24 well Caco-2 cells. Thus, the 96 well Caco-2 cell set-up presents a higher throughput permeability model capable of identifying compounds that interact with P-gp and has the potential to significantly increase the efficiency of P-gp screening in early drug discovery.

P-gp inhibition potential in cell-based models: which "calculation" method is the most accurate?

The objective was to directly compare the four different "calculation" methods of assessing P-gp inhibition potential using experimental data obtained from approximately 60 structurally diverse internal research and marketed compounds. Bidirectional studies for digoxin (probe for P-gp substrate) were performed with and without test compounds (at 10 microM). Four different calculation methods were applied to the same dataset (raw bidirectional permeability values) to obtain the "percent inhibition of P-gp" for these compounds using the different methods. Significantly different inhibition potential was obtained with the "exact" same experimental dataset depending on the calculation method used. Subsequently, entirely different conclusions regarding the "inhibition potential" of test compound was reached due to the different calculation methods. Based on the direct comparison of these methods, method no. 3 (i.e., inhibition of B to A permeability of digoxin) is recommended as the calculation method ideal during screening stages due to its high throughput amenability. The methodology is capable of rapidly screening compounds with adequate reliability for early stage drug discovery. Method no. 3 provides an abridged version of a bidirectional study that is fully capable of identifying all non-inhibitors (0-20%), moderate inhibitors (20-60%), and potent inhibitors (>60%) and demonstrates high correlation with method no. 1 (inhibition based on both A to B and B to A permeability of digoxin). Nevertheless, method no. 1 might be appropriate for more detailed mechanistic studies required in late stage discovery and development.

A novel design of artificial membrane for improving the PAMPA model.

PURPOSE: Since the first demonstration of PAMPA, the artificial membrane has been traditionally prepared by impregnating a porous filter with a solution of lipid mixture. While the lipid solution-based method is simple and seems to provide good predictability for many compounds, it is challenged by several shortcomings including reproducibility, stability, mass retention and the incorrect prediction of a group of highly permeable compounds including caffeine and antipyrine. Here we present the validation of a novel artificial membrane formed by constructing a lipid/oil/lipid tri-layer in the porous filter. METHODS: Permeability values obtained from traditional and new artificial membrane were compared for their correlation with Caco-2 and human absorption values. Mass retention, stability and organic solvent compatibility of the new artificial membrane were studied. RESULTS: The new artificial membrane correctly predicts the permeability of the traditionally under-predicted compounds and improves the correlation with Caco-2 and human absorption values. Furthermore, the new artificial membrane reduces the mass retention of compounds that are highly retained by the traditional artificial membrane. The new artificial membrane is also found to be robust enough to sustain long term storage and has good compatibility with organic solvents. CONCLUSIONS: The new artificial membrane provides an improved PAMPA model.

Current industrial practices of assessing permeability and P-glycoprotein interaction.

Combination of the in vitro models that are high throughput but less predictive and the in vivo models that are low throughput but more predictive is used effectively to evaluate the intestinal permeability and transport characteristics of a large number of drug candidates during lead selection and lead optimization processes. Parallel artificial membrane permeability assay and Caco-2 cells are the most frequently used in vitro models to assess intestinal permeability. The popularity of these models stems from their potential for high throughput, cost effectiveness, and adequate predictability of absorption potential in humans. However, several caveats associated with these models (eg, poor predictability for transporter-mediated and paracellularly absorbed compounds, significant nonspecific binding to cells/devices leading to poor recovery, variability associated with experimental factors) need to be considered carefully to realize their full potential. P-glycoprotein, among other pharmaceutically relevant transporters, has been well demonstrated to be the major determinant of drug disposition. The review article presents an objective analysis of the permeability and transporter models currently being used in the pharmaceutical industry and could help guide the discovery scientists in implementing these models in an optimal fashion.