Novel generic UPLC/MS/MS method for high throughput analysis applied to permeability assessment in early Drug Discovery

A rapid and sensitive UPLC–MS/MS method for quantification of erdosteine as bulk drug and in capsules as dosage forms

A rapid, sensitive, specific ultra-performance liquid chromatography-tandem mass spectrometric (UPLC-MS-MS) method was developed for the determination of erdosteine (ERD) in pharmaceutical preparations. The chromatographic separation was achieved with 0.1% formic acid in combination with acetonitrile (25:75 v/v) using C18 UPLC column, 95Å, 2.1 x 50 mm, 1.8 µm. The flow rate was 0.15 mL/min and the total run time was 2.0 min. The column temperature was kept constant at 40 °C and the injection volume was 5 μL. Ibuprofen was used as internal standard (IS). The mass transitions of ERD and IS were m/z 249.9 → 231.8 and 205.1 → 161.0. Also, another product ion of ERD (m/z 249.80 → 231.80) was monitored as predictive ion during the analysis. The standard calibration curve shows determination coefficient (R2) greater than 0.996 with a range of 1-5000 ng/mL using the linear regression model. Within-run precision and between-run repeatability were expressed as relative standard deviation and were lower than 5%. The developed method was successfully applied in the analysis of ERD-containing capsule formulation indicating that the method could be used for routine quality control analyses. Keywords: erdosteine, UPLC-MS/MS, multiple reaction monitoring, pharmaceutical analysis, method validation

Fluorescent artificial receptor-based membrane assay (FARMA) for spatiotemporally resolved monitoring of biomembrane permeability

The spatiotemporally resolved monitoring of membrane translocation, e.g., of drugs or toxins, has been a long-standing goal. Herein, we introduce the fluorescent artificial receptor-based membrane assay (FARMA), a facile, label-free method. With FARMA, the permeation of more than hundred organic compounds (drugs, toxins, pesticides, neurotransmitters, peptides, etc.) through vesicular phospholipid bilayer membranes has been monitored in real time (µs-h time scale) and with high sensitivity (nM-µM concentration), affording permeability coefficients across an exceptionally large range from 10-9-10-3 cm s-1. From a fundamental point of view, FARMA constitutes a powerful tool to assess structure-permeability relationships and to test biophysical models for membrane passage. From an applied perspective, FARMA can be extended to high-throughput screening by adaption of the microplate reader format, to spatial monitoring of membrane permeation by microscopy imaging, and to the compartmentalized monitoring of enzymatic activity.

Dermal absorption study OECD TG 428 mass balance recommendations based on the EFSA database

The European Food Safety Authority (EFSA) guidance (EFSA, 2017) for dermal absorption (DA) studies recommends stringent mass balance (MB) limits of 95-105%. EFSA suggested that test material can be lost after penetration and requires that for chemicals with <5% absorption the non-recovered material must be added to the absorbed dose if MB is <95%. This has huge consequences for low absorption pesticides. Indeed, one third of the MBs in the EFSA DA database are outside the refined criteria. This is also true for DA data generated by Cosmetics Europe (Gregoire et al., 2019), indicating that this criterion is often not achieved even when using highly standardized protocols. While EFSA hypothesizes that modern analytical and pipetting techniques would enable to achieve this criterion, no scientific basis was provided. We describe how protocol procedures impact MB and evaluate the EFSA DA database to demonstrate that MB is subject to random variation. Generic application of "the addition rule" skews the measured data and increases the DA estimate, which results in unnecessary risk assessment failure. In conclusion, "missing material" is just a random negative deviation to the nominal dose. We propose a data-driven MB criterion of 90-110%, fully in line with OECD recommendations.

Rapid screening of photoactivatable metallodrugs: photonic crystal fibre microflow reactor coupled to ESI mass spectrometry

We explore the efficacy of a hyphenated photonic crystal fibre microflow reactor – high-resolution mass spectrometer system as a method for screening the activity of potential new photoactivatable drugs.

We explore the efficacy of a hyphenated photonic crystal fibre microflow reactor – high-resolution mass spectrometer system as a method for screening the activity of potential new photoactivatable drugs. The use of light to activate drugs is an area of current development as it offers the possibility of reduced side effects due to improved spatial and temporal targeting and novel mechanisms of anticancer activity. The di-nuclear ruthenium complex [{(η⁶-indan)RuCl}₂(μ-2,3-dpp)](PF₆)₂, previously studied by Magennis et al. (Inorg. Chem., 2007, 46, 5059) is used as a model drug to compare the system to standard irradiation techniques. The photodecomposition pathways using blue light radiation are the same for PCF and conventional cuvette methods. Reactions in the presence of small biomolecules 5′-guanosine monophosphate (5′-GMP), 5′-adenosine monophosphate (5′-AMP), l-cysteine (l-Cys) and glutathione (γ-l-glutamyl-l-cysteinyl-glycine, GSH) were studied. The complex was found to bind to nucleobases in the dark and this binding increased upon irradiation with 488 nm light, forming the adducts [(η⁶-indan)Ru₂(μ-2,3-dpp) + 5′-GMP]²⁺ and [(η⁶-indan)Ru + (5′-AMP)]⁺. These findings are consistent with studies using conventional methods. The dinuclear complex also binds strongly to GSH after irradiation, a possible explanation for its lack of potency in cell line testing. The use of the PCF-MS system dramatically reduced the sample volume required and reduced the irradiation time by four orders of magnitude from 14 hours to 12 seconds. However, the reduced sample volume also results in a reduced MS signal intensity. The dead time of the combined system is 15 min, limited by the intrinsic dead volume of the HR-MS.

Steroid hormone signaling during development has a latent effect on adult male sexual behavior in the butterfly Bicyclus anynana

It is well established that steroid hormones regulate sexual behavior in vertebrates via organizational and activational effects. However, whether the organizational/activational paradigm applies more broadly to the sexual behavior of other animals such as insects is not well established. Here we describe the hormonal regulation of a sexual behavior in the seasonally polyphenic butterfly Bicyclus anynana is consistent with the characteristics of an organizational effect. By measuring hormone titer levels, quantifying hormone receptor gene expression in the brain, and performing hormone manipulations, we demonstrate steroid hormone signaling early in pupal development has a latent effect on adult male sexual behavior in B. anynana. These findings suggest the organizational/activational paradigm may be more highly conserved across animal taxa than previously thought.

Determination of Aflatoxin M1 and Chloramphenicol in Milk Based on Background Fluorescence Quenching Immunochromatographic Assay

Harsh demanding has been exposed on the concentration of aflatoxin M1 (AFM1) and chloramphenicol (CAP) in milk. In this study, we developed a new method based on background fluorescence quenching immunochromatographic assay (bFQICA) to detect AFM1 and CAP in milk. The detection limit for AFM1 was 0.0009 ng/mL, while that for the CAP was 0.0008 ng/mL. The assay variability was determined with 3 AFM1 standards (i.e., 0.25 ng/mL, 0.5 ng/mL, and 1.0 ng/mL), and the actual detection value was 0.2497, 0.5329, and 1.0941, respectively. For the assay variability of 3 CAP standards (i.e., 0.10 ng/mL, 0.30 ng/mL, and 0.50 ng/mL), the actual detection value was 0.0996, 0.3096, and 0.4905, respectively. The recovery rate of AFM1 was 99.7%-101.7%, while that for CAP was 95.3%-97.6%. For the test stability, AFM1 and CAP showed satisfactory test stability even at month 5. Compared with the sensitivity of liquid chromatography-mass spectrometry (LC-MS) method, no statistical difference was noticed in results of the bFQICA. Our method is convenient for the detection of AFM1 and CAP in milk with a test duration of about 8 minutes. Additionally, an internal WiFi facility is provided in the system allowing for quick connection and storage in the intelligent cell phone.

Development and validation of a UPLC method for rapid and simultaneous analysis of proton pump inhibitors

Proton pump inhibitors (PPIs) are used extensively for the relief of gastroesophageal reflux, peptic ulcers, and other hypersecretory conditions. Some of the commonly used PPIs-omeprazole, esomeprazole, lansoprazole, pantoprazole, and rabeprazole-were used in this study with the aim of developing a rapid ultra performance liquid chromatography (UPLC) method for detecting each and allowing separation and quantification of a mixture of PPIs. An analysis of samples was performed on a UPLC system equipped with a quaternary solvent delivery system, a refrigerated sample manager, a column heater, a photo diode array detector scanning from 210 to 400 nm, and a C18 analytical column (50 mm × 3.0 mm, 1.7-μm particle size). The chromatographic analysis of the PPI samples and standards was performed using gradient elution with acetonitrile and water. The calibration curve range varied for each of the PPIs ranging from a lower limit of 0.75-1.78 μg/mL to a maximum concentration of 200 μg/mL with a regression coefficient (r (2)) of ≥0.98. The accuracy and precision were calculated, and the %RSD was determined to be ≤0.21% (intraday) and ≤5% (interday). The LOD was 0.23-0.59 μg/mL and the LOQ was 0.71-1.78 μg/mL for each of the drugs analyzed. The method was capable of detecting and quantifying each drug in a mixture with good resolution and a total run time of less than 5 min. Herein, we report an efficient and rapid analytical method for the simultaneous detection of multiple PPIs in a mixture.

Plasma metabolic profiling of normal and dysmenorrhea syndrome rats and the effects of Xiang-Fu-Si-Wu Decoction intervention

CONTEXT

Primary dysmenorrhea (PDM), a common, clinically heterogeneous endocrine disorder affecting young women, is associated with endocrinopathy and metabolic abnormalities. The Xiang-Fu-Si-Wu Decoction (XFSWD) is a traditional Chinese medicine preparation used to treat PDM.

OBJECTIVE

In the current study, a plasma metabonomics method based on the ultra-high-performance liquid chromatography-quantitative time-of-flight-mass spectrometry (UHPLC-Q-TOF-MS) system was employed to examine the mechanism of XFSWD action in PDM.

MATERIALS AND METHODS

Estradiol benzoate (0.01 g/kg/d) and oxytocin (5 mL/kg) were used to create the dysmenorrhea rat model. Based on the chromatographic data of plasma samples at different time-points following oral administration of XFSWD mixed in water (37.8 g crude herbs/kg) on day 7, partial least square (PLS) and discriminate analysis (DA) were applied to visualize group differentiation and marker selection.

RESULTS

Systemic changes occurring in PDM reflect alterations in not only uterus function but also whole-body metabolism. The XFSWD was effective as a therapeutic agent for PDM by reflect metabolic pathway. Prostaglandins and lysophospholipids were identified as two marker types for oxytocin-induced dysmenorrhea syndrome, including LysoPC(18:4), LysoPE(22:2/0:0), LysoPC(17:0), PGJ₂, 11-deoxy-11-methylene-PGD₂, 15-deoxy-δ-12,14-PGJ₂, LysoPC(20:3), etc. Specifically, the concentrations of prostaglandins compounds (PGJ₂, 11-deoxy-11-methylene-PGD₂, 15-deoxy-δ-12,14-PGJ₂) were increased while those of lysophospholipid compounds [lysoPC(18:4), LysoPE(22:2/0:0), LysoPC(17:0)] were decreased to a significant extent (p < 0.05) in dysmenorrheal rats. Upon treatment with the XFSWD at 12 h, the concentrations of lysophospholipids showed no significant differences (P > 0.05) between the model and normal groups. The lysophospholipid levels were restored. Lysophospholipids were the key factors in phospholipid metabolism. Thus, disruption of phospholipids metabolism appears critical for the development of dysmenorrhea. The XFSWD exerted its effects by interfering with the sphingolipid metabolic pathway.

DISCUSSION AND CONCLUSIONS

The metabonomics method presents a promising tool to treat PDM in animal models, and may be applicable for clinical treatment of the human disease in the future.

Organic acid quantitation by NeuCode methylamidation

We have developed a multiplexed quantitative analysis method for carboxylic acids by liquid chromatography high resolution mass spectrometry. The method employs neutron encoded (NeuCode) methylamine labels ((13)C or (15)N enriched) that are affixed to carboxylic acid functional groups to enable duplex quantitation via mass defect measurement. This work presents the first application of NeuCode quantitation to small molecules. We have applied this technique to detect adulteration of olive oil by quantitative analysis of fatty acid methyl amide derivatives, and the quantitative accuracy of the NeuCode analysis was validated by GC/MS. Currently, the method enables duplex quantitation and is expandable to at least 6-plex analysis.

Highly efficient differentiation of functional hepatocytes from human induced pluripotent stem cells

Human induced pluripotent stem cells (hiPSCs) hold great potential for use in regenerative medicine, novel drug development, and disease progression/developmental studies. Here, we report highly efficient differentiation of hiPSCs toward a relatively homogeneous population of functional hepatocytes. hiPSC-derived hepatocytes (hiHs) not only showed a high expression of hepatocyte-specific proteins and liver-specific functions, but they also developed a functional biotransformation system including phase I and II metabolizing enzymes and phase III transporters. Nuclear receptors, which are critical for regulating the expression of metabolizing enzymes, were also expressed in hiHs. hiHs also responded to different compounds/inducers of cytochrome P450 as mature hepatocytes do. To follow up on this observation, we analyzed the drug metabolizing capacity of hiHs in real time using a novel ultra performance liquid chromatography-tandem mass spectrometry. We found that, like freshly isolated primary human hepatocytes, the seven major metabolic pathways of the drug bufuralol were found in hiHs. In addition, transplanted hiHs engrafted, integrated, and proliferated in livers of an immune-deficient mouse model, and secreted human albumin, indicating that hiHs also function in vivo. In conclusion, we have generated a method for the efficient generation of hepatocytes from induced pluripotent stem cells in vitro and in vivo, and it appears that the cells function similarly to primary human hepatocytes, including developing a complete metabolic function. These results represent a significant step toward using patient/disease-specific hepatocytes for cell-based therapeutics as well as for pharmacology and toxicology studies.

Applicability of a blood-brain barrier specific artificial membrane permeability assay at the early stage of natural product-based CNS drug discovery

While numerous natural products (NPs) possess activity on central nervous system (CNS) targets, there has been no analytical approach to effectively identify compounds with high brain penetration potential in complex mixtures at the early stage of drug discovery. To overcome this issue, the performance of an in vitro parallel artificial membrane permeability assay for the blood-brain barrier (PAMPA-BBB) for natural products and for plant extracts has been validated and characterized. It was found that the PAMPA-BBB assay preserves its predictive power in the case of natural products and provides high phytochemical selectivity, which enables its use as a unique filtering tool in terms of selecting brain-penetrable compounds from plant extracts. Moreover, the present study has demonstrated that simple modifications in the assay design allow the direct use of PAMPA-BBB filtered samples in a dereplication process, as performed by NMR and LC-MS. The applicability of this procedure was demonstrated using extracts prepared from Tanacetum parthenium, Vinca major, Salvia officinalis, and Corydalis cava, representing different types of chemical diversity and complexity. Thus, the proposed protocol represents a potentially valuable strategy in the NP-based CNS drug discovery environment with a high-throughput screening platform.

A PAMPA assay as fast predictive model of passive human skin permeability of new synthesized corticosteroid C-21 esters

The permeation properties of twenty newly synthesized α-alkoxyalkanoyl and α-aryloxyalkanoyl C-21 esters of standard corticosteroids: Fluocinolone acetonide, dexamethasone, triamcinolone acetonide and hydrocortisone were established using a PAMPA assay (70% silicone oil and 30% isopropyl myristate). The data were compared with parent corticosteroids with addition of mometasone furoate and hydrocortisone acetate. All newly synthesized corticosteroid C-21 esters have effective permeability coefficients higher then -6, mostly followed with high values of retention factors and low permeation. The examined compounds were grouped through relationship between obtained retention factors and permeation parameters (groups I–III). The classification confirmed group I (membrane retentions as well as permeation lower then 30%) for all corticosteroid standards except mometasone furoate, a potent topical corticosteroid which, with high membrane retention (81%) and low permeation (7.7%) fits into group III. The largest number of new synthesized corticosteroids C-21 esters, among them all fluocinolone acetonide C-21 esters, have high membrane retentions (32.4%–86.5%) and low permeations (1.3%–27.1%), fitting in group III. The classification was related to previously obtained anti-inflammatory activity data for the fluocinolone acetonide C-21 esters series. According to the PAMPA results the new synthesized esters could be considered as potential new prodrugs with useful benefit/risk ratio.

Development of a high sensitivity bioanalytical method for alprazolam using ultra-performance liquid chromatography/tandem mass spectrometry

A rapid, specific, assay was developed for the benzodiapine alprazolam in rat plasma using sub-2 µm particle liquid chromatography (LC) and tandem quadrupole mass spectrometry (MS/MS). The limit of quantification using protein precipitation was determined to 10 pg/mL, whereas the limit of quantification using solid-phase extraction (SPE) was determined to be 1.0 pg/mL. The assay was optimized for throughput and resolution of the analyte of interest from the hydroxy metabolite. During the method development process the plasma matrix signal was monitored, for lipids and other endogenous metabolites, to maximize signal response and minimize ion suppression. This was achieved by using a tandem quadrupole mass spectrometer equipped with a novel collision cell design which allowed for the simultaneous collection of full scan MS and multiple reaction monitoring (MRM) data. The lipid profile from the SPE process was significantly less than obtained with the protein precipitation approach.

Differentiation and characterization of metabolically functioning hepatocytes from human embryonic stem cells

Human embryonic stem cells (hESCs) may provide a cell source for functional hepatocytes for clinical applications and drug development. Initially, the hESC population was enriched to be more than 85% definitive endoderm (DE) as assessed by the expression of CXCR4, SOX17, and FOXA2. We then successfully converted DE into hepatic progenitors with 93% of the cells being positive for alpha-feto protein within 9 days. The percentage of albumin positive cells gradually increased to 90% at days 20-22 after differentiation. Moreover, our hESC-derived hepatocytes (hEH) developed a complete biotransformation system including phase I and II metabolizing enyzmes and phase III transporters. Nuclear receptors, which are critical in regulating the expression of metabolizing enzymes, were also expressed by our hEH. Using ultraperformance liquid chromatography-tandem mass spectrometry technology, we identified seven metabolic pathways of the drug bufuralol including four newly-reported ones in our hEH, which are the same as those in freshly isolated human primary hepatocytes (hPH). In addition, the results of the metabolism of four drugs indicate that our hEH have the capacity to metabolize these drugs at levels that are comparable to hPH. In conclusion, we have generated a relatively homogenous population of hepatocytes from hESCs, which appear to have complete metabolic function that is comparable to primary liver cells. These results represent a significant step towards the efficient differentiation of mature hepatocytes for cell-based therapeutics as well as for pharmacology and toxicology studies.

Application of PAMPA-models to predict BBB permeability including efflux ratio, plasma protein binding and physicochemical parameters

This study examines whether algorithms to predict brain penetration of 88 drug candidates could benefit from inclusion of PAMPA data such as P(eff), flux and membrane retention. Specifically the ability to fit experimentally derived LogBB data with PAMPA information and compound related physicochemical and structural parameters was assessed. Collected data were analyzed by partial least square analysis and various regression models for LogBB. Four PAMPA methodologies were evaluated in this study including: (1) a PAMPA-BLM (black lipid membrane) model, (2) a PAMPA-DS (double sink) model, (3) a PAMPA-BBB (blood-brain barrier) model and (4) a PAMPA-BBB-UWL (unstirred water layer). Additionally, plasma protein binding (PPB) experiments and a Caco-2 assay were performed to determine the unbound fraction in plasma and the efflux ratio, respectively, for subsets of the selected compounds. This information was combined with the obtained PAMPA data in an effort to improve the predictions of LogBB. Taken in aggregate, the results presented, suggest that the PAMPA-BLM parameters are the most important contributors to predict the LogBB. The optimized multiple linear regression (MLR) relationship including the PAMPA-BLM properties demonstrated a slightly improved prediction compared to the model without the PAMPA-BLM parameters. Including the plasma protein binding of 15 compounds resulted in a significantly improved PAMPA-BLM prediction of LogBB, while integrating the efflux ratio with PAMPA-BLM or PAMPA-BBB P(eff) values, resulted in improved classification of brain permeable [BBB+(LogBB>/=0)] and impermeable [BBB-(LogBB<0)] compounds.

Evaluation of various PAMPA models to identify the most discriminating method for the prediction of BBB permeability

The Parallel Artificial Membrane Permeability Assay (PAMPA) has been successfully introduced into the pharmaceutical industry to allow useful predictions of passive oral absorption. Over the last 5 years, researchers have modified the PAMPA such that it can also evaluate passive blood-brain barrier (BBB) permeability. This paper compares the permeability of 19 structurally diverse, commercially available drugs assessed in four different PAMPA models: (1) a PAMPA-BLM (black lipid membrane) model, (2) a PAMPA-DS (Double Sink) model, (3) a PAMPA-BBB model and (4) a PAMPA-BBB-UWL (unstirred water layer) model in order to find the most discriminating method for the prediction of BBB permeability. Both the PAMPA-BBB model and the PAMPA-BLM model accurately identified compounds which pass the BBB (BBB+) and those which poorly penetrate the BBB (BBB-). For these models, BBB+ and BBB- classification ranges, in terms of permeability values, could be defined, offering the opportunity to validate the paradigm with in vivo data. The PAMPA models were subsequently applied to a set of 14 structurally diverse internal J&J candidates with known log (brain/blood concentration) (LogBB) values. Based on these LogBB values, BBB classifications were established (BBB+: LogBB0 >or=; BBB-: LogBB<0). PAMPA-BLM resulted in three false positive identifications, while PAMPA-BBB misclassified only one compound. Additionally, a Caco-2 assay was performed to determine the efflux ratio of all compounds in the test set. The false positive that occurred in both models was shown to be related to an increased efflux ratio. Both the PAMPA-BLM and the PAMPA-BBB models can be used to predict BBB permeability of compounds in combination with an assay that provides p-gp efflux data, such as the Caco-2 assay.

Increasing high-throughput discovery bioanalysis using automated selected reaction monitoring compound optimization, ultra-high-pressure liquid chromatography, and single-step sample preparation workflows

QuickQuan is an integrated software package for Thermo Scientific triple quadrupole mass spectrometers that allows users to automate routine operations ranging from method development to data processing. QuickQuan automated optimization of compound-selected reaction monitoring (SRM) transitions by evaluating both positive and negative polarities during an infusion. Whichever mode produces the most intense Q1 scan is then carried to product ion spectra. QuickQuan then writes these SRM methods to a shared network database. The total volume of compound needed is 100 microL infused over approximately 1.6 min. The auto-optimization is carried out in 96-well plates and does not require an operator present. The SRM database was shared between two identical TSQ Quantum mass spectrometers. For data acquisition, QuickQuan automatically created a sequence file complete with a data processing method pre-populated with compound IDs and corresponding SRM transitions. To increase throughput we coupled each Finnigan Quantum with ultra-high-pressure liquid chromatography (uHPLC) accomplished using 4x Ultra Flux quaternary pumps that were designed to handle pressures up to 15 000 psi. The total run time for all analyses was 1.2 min using BEH 1.7 microm particle C18 columns. Further time reductions were realized with sample preparation accomplished using Strata Impact protein precipitation plates which provided an in-well protein crash and 0.20 micron filtering in a one-step process. Pharmacokinetic data turnaround time was significantly improved by combining these three techniques of automated method development with the speed efficiency of uHPLC and a single step in well sample preparation.

Sub one minute inhibition assays for the major cytochrome P450 enzymes utilizing ultra-performance liquid chromatography/tandem mass spectrometry

The measurement of cytochrome P450 (CYP450) isoenzyme inhibition is often done during evaluation of new chemical entities in drug discovery. Typical assay protocol consists of multiple CYP450 probe substrates incubated with selected drug candidates and CYP450. Results of the assay, the amount of probe substrate metabolite formed with respect to control, are used to determine the level of interaction. Liquid chromatography utilizing columns packed with sub-2-micron particles have been shown to provide up to 8X faster analysis time and 3X increases in sensitivity over traditional high-performance liquid chromatography (HPLC). The work presented here shows the development of a high-throughput, sub-2-micron particle LC method coupled with tandem quadrupole mass spectrometry for the rapid analysis of six CYP450 probe substrate metabolites in 30s.

High-speed solubility screening assay using ultra-performance liquid chromatography/mass spectrometry in drug discovery

Ultra-performance liquid chromatography (UPLC) was investigated as an alternative to high-performance liquid chromatography (HPLC) for analyzing pharmaceutical drug candidates. We previously developed a 96-well-based high-speed solubility assay system (HSSOL) using HPLC/UV and a LogD assay system (HSLogD) using HPLC/MS [Y. Dohta, T. Yamashita, S. Horiike, T. Nakamura, T. Fukami, Anal. Chem. 79 (2007) 8312]. We have introduced the UPLC/MS system into this previously developed HSSOL system to increase throughput. Results obtained by the UPLC/MS and HPLC/UV systems showed good agreement, validating the usefulness of the UPLC/MS system. A high-speed solubility assay system was developed employing the UPLC/MS system, thereby tripling the throughput.

PAMPA—critical factors for better predictions of absorption

PAMPA, log P(OCT), and Caco-2 are useful tools in drug discovery for the prediction of oral absorption, brain penetration and for the development of structure-permeability relationships. Each approach has its advantages and limitations. Selection criteria for methods are based on many different factors: predictability, throughput, cost and personal preferences (people factor). The PAMPA concerns raised by Galinis-Luciani et al. (Galinis-Luciani et al., 2007, J Pharm Sci, this issue) are answered by experienced PAMPA practitioners, inventors and developers from diverse research organizations. Guidelines on how to use PAMPA are discussed. PAMPA and PAMPA-BBB have much better predictivity for oral absorption and brain penetration than log P(OCT) for real-world drug discovery compounds. PAMPA and Caco-2 have similar predictivity for passive oral absorption. However, it is not advisable to use PAMPA to predict absorption involving transporter-mediated processes, such as active uptake or efflux. Measurement of PAMPA is much more rapid and cost effective than Caco-2 and log P(OCT). PAMPA assay conditions are critical in order to generate high quality and relevant data, including permeation time, assay pH, stirring, use of cosolvents and selection of detection techniques. The success of using PAMPA in drug discovery depends on careful data interpretation, use of optimal assay conditions, implementation and integration strategies, and education of users.

High throughput solubility measurement in drug discovery and development

Measurement of drug solubility in various solvents is one of the key elements of compound characterization during the whole discovery and development process. This review summarizes current experimental approaches and addresses recent advances in the experimental methods used to determine drug solubility in drug discovery and early development. This paper focuses on high throughput methods designed to determine kinetic and thermodynamic (equilibrium) solubility but traditional methods are also presented. The focus, positioning, experimental setup, pros and cons, and limitations of individual assays are discussed and differences in solubility studies in discovery and development environments are highlighted. Finally, future needs and trends in solubility assay development designed to overcome current bottlenecks and trade-offs between speed and quality/quantity of measurements are addressed.

A generic fast solid-phase extraction high-performance liquid chromatography/mass spectrometry method for high-throughput drug discovery

High-performance liquid chromatography/mass spectrometry (HPLC/MS) is increasingly perceived to be an essential tool in drug discovery at many key steps, like drug screening, lead identification, ADME profiling, and drug metabolism and pharmacology studies. High-throughput screenings in the early phase for metabolic stability, protein binding, permeability (ADME) and bioavailability are widely used to weed out compounds that do not exhibit the necessary characteristics. For such high-throughput LC/MS studies, a generic LC/MS method that can be used for a variety of compounds is desired. In this study, we used a small set of compounds with a wide range of properties to guide method development, and achieved a sample throughput of 1.7 min/sample. Here, we present a generic fast method that achieves good peak separation and peak shape on conventional HPLC systems using a column-switching mechanism for on-line solid-phase extraction (SPE)-HPLC/MS analysis. The method has a linear response range from 1 to 500 nM for the tested compounds. When a larger set of 658 randomly picked small molecules were analyzed using this method, 612 were observed with good signal intensity and HPLC peak shapes. This generic fast SPE-LC/MS method has been used to screen more than 1.5 million compounds repetitively against over 200 protein targets for hit confirmation and semi-quantitation of binding constants from biological assays. Over 7000 different compounds for a variety of protein-binding assays have been studied using this method for quantitative analysis as well.