Publications by authors named "Jonathan Josephs"

Intact protein mass spectrometry (MS) coupled with liquid chromatography was applied to characterize the pharmacokinetics and stability profiles of therapeutic proteins. However, limitations from chromatography, including throughput and carryover, result in challenges with handling large sample numbers. Here, we combined intact protein MS with multiple front-end separations, including affinity capture, SampleStream, and high-field asymmetric waveform ion mobility spectrometry (FAIMS), to perform high-throughput and specific mass measurements of a multivalent antibody with one antigen-binding fragment (Fab) fused to an immunoglobulin G1 (IgG1) antibody.

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Middle-down mass spectrometry (MD MS) has emerged as a promising alternative to classical bottom-up approaches for protein characterization. Middle-level experiments after enzymatic digestion are routinely used for subunit analysis of monoclonal antibody (mAb)-related compounds, providing information on drug load distribution and average drug-to-antibody ratio (DAR). However, peptide mapping is still the gold standard for primary amino acid sequence assessment, post-translational modifications (PTM), and drug conjugation identification and localization.

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In an effort to identify novel antithrombotics, we have investigated protease-activated receptor 4 (PAR4) antagonism by developing and evaluating a tool compound, , in a monkey thrombosis model. Beginning with a high-throughput screening hit, we identified an imidazothiadiazole-based PAR4 antagonist chemotype. Detailed structure-activity relationship studies enabled optimization to a potent, selective, and orally bioavailable PAR4 antagonist, .

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The preponderance and diversity of charge variants in therapeutic monoclonal antibodies has implications for antibody efficacy and degradation. Understanding the extent and impact of minor antibody variants is of great interest, and it is also a critical regulatory requirement. Traditionally, a combination of approaches is used to characterize antibody charge heterogeneity, including ion exchange chromatography and independent mass spectrometric variant site mapping after proteolytic digestion.

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For LC-MS-based targeted quantification of biotherapeutics and biomarkers in clinical and pharmaceutical environments, high sensitivity, high throughput, and excellent robustness are all essential but remain challenging. For example, though nano-LC-MS has been employed to enhance analytical sensitivity, it falls short because of its low loading capacity, poor throughput, and low operational robustness. Furthermore, high chemical noise in protein bioanalysis typically limits the sensitivity.

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Aim: High clearance is a commonly encountered issue in drug discovery. Here we present a centralized metabolic soft spot identification assay with adequate capacity and turnaround time to support the metabolic optimization needs of an entire discovery organization.

Methodology: An integrated quan/qual approach utilizing both an orthogonal sample-pooling methodology and software-assisted structure elucidation was developed to enable the assay.

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Due to observed collision induced dissociation (CID) fragmentation inefficiency, developing sensitive liquid chromatography tandem mass spectrometry (LC-MS/MS) assays for CID resistant compounds is especially challenging. As an alternative to traditional LC-MS/MS, we present here a methodology that preserves the intact analyte ion for quantification by selectively filtering ions while reducing chemical noise. Utilizing a quadrupole-Orbitrap MS, the target ion is selectively isolated while interfering matrix components undergo MS/MS fragmentation by CID, allowing noise-free detection of the analyte's surviving molecular ion.

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Certain functional groups/structural motifs are known to generate chemically reactive metabolites that can covalently modify essential cellular macromolecules and, therefore, have the potential to disrupt biological function and elicit idiosyncratic adverse drug reactions. In this report, we describe the bioactivation of 5-substituted 2-(alkylthio)-1,3,4-thiadiazoles and 2-(alkylthio)-1,3-benzothiazoles, which can be added to the growing list of structural alerts. When 5-substituted 2-(methylthio)-1,3,4-thiadiazoles and 2-(methylthio)-1,3-benzothiazole were incubated with pooled human liver microsomes in the presence of NADPH and GSH, unusual GSH adducts were formed.

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Background: An integrated method that provides rates of both parent disappearance and metabolite formation was developed.

Results: Buspirone, mirtazapine and verapamil were used as model compounds in developing the method. Incubations were carried out on a robotic platform.

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Mass spectral libraries represent versatile tools for the identification of small bioorganic molecules. Libraries based on electron impact spectra are rated robust and transferable. Tandem mass spectral libraries are often considered to work properly only on the instrument that has been used to build the library.

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A drug candidate, BMS-A ((N-(4-((1H-pyrrolo[2,3-b]pyridin-4-yl)oxy)-3-fluorophenyl)-1-(4-fluorophenyl) 2-oxo-1,2-dihydropyridine- 3-carboxamide)), was associated with dose- and time-dependent vacuolar degeneration and necrosis of the adrenal cortex following oral administration to rats. Pretreatment with 1-aminobenzotriazole (ABT), a nonspecific P450 inhibitor, ameliorated the toxicity. In vivo and in vitro systems, including adrenal cortex-derived cell lines, were used to study the mechanism responsible for the observed toxicity.

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An early assessment of metabolite exposure in preclinical species can provide quantitative estimation on possible active or toxic metabolites. Frequently, synthetic metabolite standards are not available at the preclinical stage, precluding the quantitation of metabolites by means of calibration curves and quality control (QC) samples. We present here an approach to determine the extent of circulating metabolites using 'metabolite standards' generated by in vitro incubations in combination with the correction for mass spectrometry response based on UV response.

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To improve patient safety and to help avoid costly late-stage failures, the pharmaceutical industry, along with the US FDA and International Committee on Harmonization (ICH), recommends the identification of differences in drug metabolism between animals used in nonclinical safety assessments and humans as early as possible during the drug-development process. LC-MS is the technique of choice for detection and characterization of metabolites, however, the widely different LC-MS response observed for a new chemical entity (NCE) and its structurally related metabolites limits the direct use of LC-MS responses for quantitative determination of NCEs and metabolites. While no method provides completely accurate universal response, UV, corona charged aerosol detection (CAD), radioactivity, NMR and low-flow (< 20 µl/min) nanospray approaches provide opportunities to quantify metabolites in the absence of reference standards or radiolabeled material with enough precision to meet the needs of early clinical development.

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Identification and quantitation of drug metabolites are important for understanding and predicting drug-drug interactions and toxicities. For chiral compounds, metabolic interconversion of enantiomers may present unique challenges. If the stereoisomers are biologically distinguishable, regulatory agencies consider them distinct chemical entities and require individual characterization since enantiomers may exhibit different pharmacokinetic, pharmacologic, and toxicologic properties.

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Nonselective collision-induced dissociation (CID) is a technique for producing fragmentation products for all ions generated in an ion source. It is typical of liquid chromatography/mass spectrometry (LC/MS) analysis of complex samples that matrix-related components may contribute to the resulting product ion spectra and confound the usefulness of this technique for structure interpretation. In this proof-of-principle study, a high-resolution LC/MS-based background subtraction algorithm was used to process the nonselective CID data to obtain clean product ion spectra for metabolites in human plasma samples.

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The enzymes present in many microbial strains are capable of carrying out a variety of biotransformations when presented with drug-like molecules. Although the enzymes responsible for the biotransformations are not well characterized, microbial strains can often be found that produce metabolites identical to those found in mammalian systems. However, traditional screening for microbial strains that produce metabolites of interest is done with many labor intensive steps that include multiple shake flasks and many manual manipulations, which hinder the application of these techniques in drug metabolite preparation.

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An automated high throughput process, termed the MetFast assay, is described to assess in vitro the general microsomal cytochrome P450 beta-nicotinamide adenine dinucleotide phosphate-mediated first-pass metabolic stability of potential drug candidates as a utility for pharmaceutical profiling. Utilizing robotic protocols with a multiprobe liquid handler, compounds are incubated with liver microsomes from different species. Samples are then analyzed by in-line liquid chromatography (LC)-mass spectrometry (MS) to determine the amount of compound remaining after a certain time, which allows calculation of metabolism rates.

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Searchable libraries of MS/MS spectra, obtained using liquid chromatography/tandem mass spectrometry (LC/MS/MS) with data-dependent scan mode switching on both quadrupole ion trap and triple-quadrupole mass spectrometers in conjunction with electrospray ionization, are presented. The effects on library search scores of changing the parameters for producing collision-induced dissociation (CID) on both instrument types are systematically evaluated. These observations serve as a basis for determining a universal set of conditions for building MS/MS libraries.

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