Acoustic Ejection/Full-Scan Mass Spectrometry Analysis for High-Throughput Compound Quality Control

High-throughput analysis of compound dissolved in DMSO and arrayed in multiwell plates for quality control (QC) purposes has widespread utility in drug discovery, ranging from the QC of assay-ready plates dispatched by compound management, to compound integrity check in the screening collection, to reaction monitoring of chemical syntheses in microtiter plates. Due to the large number of samples (thousands per batch) involved, these workflows can put a significant burden on the liquid chromatography-mass spectrometry (LC-MS) platform typically used. To achieve the required speed of seconds per sample, several chromatography-free MS approaches have previously been used with mixed results. In this study, we demonstrated the feasibility of acoustic ejection-mass spectrometry (AE-MS) in full-scan mode for high-throughput compound QC in miniaturized formats, featuring direct, contactless liquid sampling, minimal sample consumption, and ultrafast analytical speed. The sample consumption and analysis time by AE-MS represent, respectively, a 1000-fold and 30-fold reduction compared with LC-MS. In qualitative QC, AE-MS generated comparable results to conventional LC-MS in identifying the presence and absence of expected compounds. AE-MS also demonstrated its utility in relative quantifications of the same compound in serial dilution plates, or substrate in chemical synthesis. To facilitate the processing of a large amount of data generated by AE-MS, we have developed a data processing platform using commercially available tools. The platform demonstrated fast and straightforward data extraction, reviewing, and reporting, thus eliminating the need for the development of custom data processing tools. The overall AE-MS workflow has effectively eliminated the analytical bottleneck in the high-throughput compound QC work stream.

A Surrogate Matrix-Based Approach Toward Multiplexed Quantitation of an sGC Stimulator and cGMP in Ocular Tissue and Plasma

A liquid chromatography-tandem mass spectrometry assay was developed and qualified for the multiplexed quantitation of a small molecule stimulator of soluble guanylate cyclase (sGC) and its target engagement biomarker, 3',5'-cyclic guanosine monophosphate (cGMP), in ocular tissues and plasma from a single surrogate matrix calibration curve. A surrogate matrix approach was used in this assay due to the limited quantities of blank ocular matrices in a discovery research setting. After optimization, the assay showed high accuracy, precision, and recovery as well as parallelism between the surrogate matrix and the biological matrices (rabbit plasma, vitreous, and retina-choroid). This assay provided pharmacokinetic and target engagement data after intravitreal administration of the sGC stimulator. The nitric oxide-sGC-cGMP pathway is a potential target to address glaucoma. Increasing sGC-mediated production of cGMP could improve aqueous humor outflow and ocular blood flow. The sGC stimulator showed dose-dependent exposure in rabbit vitreous, retina-choroid, and plasma. The cGMP exhibited a delayed yet sustained increase in vitreous humor but not retina-choroid. Multiplexed measurement of both pharmacokinetic and target engagement analytes reduced animal usage and provided improved context for interpreting PK and PD relationships.

Validation and clinical application of dried blood spot assay for quantitative assessment of edoxaban in healthy adults

Aim: Dried blood spot (DBS) is a sampling approach that offers several advantages over plasma and whole blood (WB) sampling, but several factors, such as hematocrit and temperature, can adversely affect quantitation. Methodology & results: In an open-label, three-way crossover study in healthy subjects, we explored the correlation between DBS, WB and plasma samples, and between DBS samples from finger-prick and venipuncture blood for measuring edoxaban and its metabolite M-4 using LC-MS/MS. The methods were validated comprehensively. The incurred sample reanalysis experiments demonstrated quantitation reproducibility in all three matrices. Overall, there was a good correlation (near perfect concordance for edoxaban) among plasma, WB and DBS measurements. M-4 concentrations in DBS and WB were lower than in plasma. Conclusion: These results indicate using DBS may be used as an alternative methodology to measure edoxaban pharmacokinetics.

Determining molecular properties with differential mobility spectrometry and machine learning

The fast and accurate determination of molecular properties is highly desirable for many facets of chemical research, particularly in drug discovery where pre-clinical assays play an important role in paring down large sets of drug candidates. Here, we present the use of supervised machine learning to treat differential mobility spectrometry - mass spectrometry data for ten topological classes of drug candidates. We demonstrate that the gas-phase clustering behavior probed in our experiments can be used to predict the candidates' condensed phase molecular properties, such as cell permeability, solubility, polar surface area, and water/octanol distribution coefficient. All of these measurements are performed in minutes and require mere nanograms of each drug examined. Moreover, by tuning gas temperature within the differential mobility spectrometer, one can fine tune the extent of ion-solvent clustering to separate subtly different molecular geometries and to discriminate molecules of very similar physicochemical properties.

Spotting of external calibration standards on blank dried blood spots as a resource-sparing protocol

AIM

Dried blood spots (DBS) offer significant ethical and scientific advantages; however preparation of calibration curves often times, off-sets some of these advantages. We have developed a methodology wherein small volumes of external calibration standards can be spiked on to blank DBS cards.

RESULTS

A total of 2 μl of stock solution spotted on to blank blood spots yielded concentrations that were comparable to those obtained using conventional DBS method. The stability of six analytes on 10-day-old blank spots was within 80-120%. The new methodology was successfully applied to a hydroxycholorquine mouse pharmacokinetics study.

CONCLUSION

Blank DBS samples can be opportunistically prepared from overweight or satellite animals, be stored, and subsequently spiked with standards to prepare calibration standards.

Assessing Physicochemical Properties of Drug Molecules via Microsolvation Measurements with Differential Mobility Spectrometry

The microsolvated state of a molecule, represented by its interactions with only a small number of solvent molecules, can play a key role in determining the observable bulk properties of the molecule. This is especially true in cases where strong local hydrogen bonding exists between the molecule and the solvent. One method that can probe the microsolvated states of charged molecules is differential mobility spectrometry (DMS), which rapidly interrogates an ion's transitions between a solvated and desolvated state in the gas phase (i.e., few solvent molecules present). However, can the results of DMS analyses of a class of molecules reveal information about the bulk physicochemical properties of those species? Our findings presented here show that DMS behaviors correlate strongly with the measured solution phase pK_a and pK_b values, and cell permeabilities of a set of structurally related drug molecules, even yielding high-resolution discrimination between isomeric forms of these drugs. This is due to DMS's ability to separate species based upon only subtle (yet predictable) changes in structure: the same subtle changes that can influence isomers' different bulk properties. Using 2-methylquinolin-8-ol as the core structure, we demonstrate how DMS shows promise for rapidly and sensitively probing the physicochemical properties of molecules, with particular attention paid to drug candidates at the early stage of drug development. This study serves as a foundation upon which future drug molecules of different structural classes could be examined.