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Featured researches published by John Mehl.


Analytical Chemistry | 2010

Immunoaffinity purification using anti-PEG antibody followed by two-dimensional liquid chromatography/tandem mass spectrometry for the quantification of a PEGylated therapeutic peptide in human plasma.

Yang Xu; John Mehl; Ray Bakhtiar; Eric J. Woolf

Quantification of a PEGylated peptide in human plasma using LC-MS/MS to support clinical studies presented challenges in terms of assay sensitivity, selectivity, and ruggedness. To ensure specific recognition of PEGylated species, an immunoaffinity purification method (IAP) using anti-PEG antibody followed by two-dimensional (2D) LC-MS/MS was developed for MK-2662, an investigational peptide containing 38 amino acids with a 40 kDa branched PEG [poly(ethylene glycol)] at C-terminus. Biotinylated anti-PEG antibody, bound to streptavidin-coated magnetic beads, was used to capture MK-2662 and its stable-isotope-labeled internal standard from human plasma. After on-bead digestion with trypsin, the supernatant was injected on a 2D high-performance liquid chromatography (HPLC) system constructed with strong cation-exchange and reversed-phase columns, followed by MS/MS detection of the surrogate N(1-12)-mer of MK-2662 on an API5000. The assay ruggedness was improved by optimizing the trypsin digestion and sample storage conditions. The intraday validation, conducted in parallel with protein precipitation (PPT) assay, demonstrated 94.8-105.8% accuracy with <9.76% coefficient of variation (CV) for IAP, and 99.0-101.0% accuracy with <3.43% CV for PPT, over a dynamic range of 2-200 nM and 1-1000 nM, respectively. A cross comparison, performed using clinical samples, showed that the values obtained from IAP assay were about 15-30% lower than those from PPT method, which supports more specific PEG recognition provided by IAP.


Bioanalysis | 2014

Application and challenges in using LC-MS assays for absolute quantitative analysis of therapeutic proteins in drug discovery.

Joanna Zheng; John Mehl; Yongxin Zhu; Baomin Xin; Timothy Olah

As more protein therapeutics enter the drug-discovery pipeline, the traditional ligand-binding assay (LBA) faces additional challenges to meet the rapid and diverse bioanalytical needs in the early drug-discovery stage. The high specificity and sensitivity afforded by LC-MS, along with its rapid method development, is proving invaluable for the analysis of protein therapeutics in support of drug discovery. LC-MS not only serves as a quantitative tool to complement LBA in drug discovery, it also provides structural details at a molecular level, which are used to address issues that cannot be resolved using LBA alone. This review will describe the key benefits and applications, as well as the techniques and challenges for applying LC-MS to support protein quantification in drug discovery.


Bioanalysis | 2014

Quantification of human mAbs in mouse tissues using generic affinity enrichment procedures and LC–MS detection

Bogdan Sleczka; John Mehl; David J Shuster; Katherine E Lewis; Robin Moore; Ragini Vuppugalla; Surendran Rajendran; Celia D'Arienzo; Timothy Olah

BACKGROUND The disease state can modulate the penetration of large antibody-sized therapeutic molecules into affected tissues. Suitable bioanalytical methods are required for the quantitative analysis of drug tissue levels to enable a better understanding of the parameters influencing drug penetration and target engagement. RESULTS Described is a sensitive and selective LC-MS/MS assay for the quantification of human mAb molecules in mouse tissues. By homogenizing tissues directly into serum, a common serum calibration curve can be used for multiple tissues. A generic procedure was used for affinity enrichment. An analytical range of 20 - 20,000 ng/ml was achieved in serum. CONCLUSION The method described here can be applied for the quantitative analysis of mAb and Fc-fusion therapeutic molecules in a variety of animal tissue matrices.


Archive | 2013

The Development and Implementation of LC/MS-Based Bioanalytical Methods for the Quantification of Protein Therapeutics in Drug Discovery

Timothy Olah; Asoka Ranasinghe; Hongwei Zhang; Richard Wong; John Mehl; Dieter M. Drexler; James Smalley; Steven T. Wu; Bogdan Sleczka; Yongxin Zhu; Yulia Benitex; Eric Shields; Baomin Xin

The search to discover and develop viable therapies for the treatment of diseases continues to branch out in new directions and to improve and incorporate more efficient strategies to identify drug molecules in a cost-effective manner. Although proven treatments such as optimized small molecule drugs continue to provide an effective means for the management of certain medical conditions, alternatives such as engineered protein constructs have also been successful as therapeutic agents for treatment of a variety of diseases. Regardless of the type of drug molecule under consideration, optimized strategies and high-quality quantitative bioanalytical methods must be developed and applied throughout the drug discovery and development process in order to inform critical decisions during the selection and characterization of drug candidates.


Bioanalysis | 2016

Ultrasensitive quantitative LC–MS/MS of an inhibitor of apoptosis protein's antagonist in plasma using protein target affinity extraction

Lorell Discenza; Georgia Cornelius; Jinping Gan; Nicolas Szapiel; Randy Talbott; Charu Chaudhry; Anirban Roy; Robert M. Borzilleri; Ragini Vuppugalla; Kevin Stefanski; Robin Moore; Celia D'Arienzo; Timothy Olah; John Mehl

BACKGROUND A target protein-based affinity extraction LC-MS/MS method was developed to enable plasma level determination following ultralow dosing (0.1-3 µg/kg) of an inhibitor of apoptosis proteins molecule. Methodology & results: Affinity extraction (AE) utilizing immobilized target protein BIR2/BIR3 was used to selectively capture the inhibitor of apoptosis proteins molecule from dog plasma and enable removal of background matrix components. Pretreatment of plasma samples using protein precipitation was found to provide an additional sensitivity gain. A LLOQ of 7.8 pM was achieved by combining protein precipitation with AE. The method was used to support an ultralow dose dog toxicity study. CONCLUSION AE-LC-MS/MS, utilizing target protein, is a highly sensitive methodology for small molecule quantification with potential for broader applicability.


Rapid Communications in Mass Spectrometry | 2018

Fucosyl monosialoganglioside: Quantitative analysis of specific potential biomarkers of lung cancer in biological matrices using immunocapture extraction/tandem mass spectrometry

Asoka Ranasinghe; John Mehl; Celia D'Arienzo; Fizal Nabbie; Christopher Chiu; Lourdes Thevanayagam; Mohan Srinivasan; Jason Hogan; Paul Ponath; Timothy Olah

RATIONALE Certain lung cancer patients express elevated Fucosyl Monosialoganglioside (Fuc-GM1) in circulation compared to control groups. Several sensitive methods involving characterization of Fuc-GM1 have been reported. However, a highly specific and sensitive method for quantifying multiple potential Fuc-GM1 biomarkers present in various biological matrices has not been reported to date. METHOD Individual Fuc-GM1 analogs in a commercially obtained standard mixture were characterized using HPLC/UV/MS and high-resolution mass spectrometry (HRMS). Proprietary antibodies, mAb1 and mAb2, were used to selectively capture and pre-concentrate the soluble and drug-bound forms of Fuc-GM1 molecules present in human serum and whole blood, eliminating the background matrix components. Immunocapture extraction (ICE) followed by HPLC/MS/MS was used to quantify specific Fuc-GM1 analogs in biological matrices. RESULTS The concentration of individual Fuc-GM1 analog in the standard mixture was estimated to be 7-34%, using HPLC/UV/MS. . Using the standard mixture spiked into the biological matrices (100 μL), the lower limit of quantification (LLOQ) of each analog was 0.2-0.4 ng/mL with a dynamic range of up to 200 ng/mL. The applicability of the ICE-HPLC/MS/MS method was demonstrated by detecting endogenous Fuc-GM1 analogs present in rat blood and in several lung cancer cell lines. CONCLUSIONS This highly specific and sensitive HPLC/MS/MS method for quantifying individual potential Fuc-GM1 biomarkers in serum and whole blood can play a critical role in patient stratification strategies and during drug treatment. This method can be employed for monitoring both free (soluble) form and antibody drug-bound Fuc-GM1.


Drug Metabolism and Disposition | 2018

LC-MS Differential Analysis for Fast and Sensitive Determination of Biotransformation of Therapeutic Proteins

Ming Yao; Bingming Chen; Weiping Zhao; John Mehl; Lingjun Li; Mingshe Zhu

Therapeutic biologics have become a fast-growing segment within the pharmaceutical industry during the past 3 decades. Although the metabolism of biologics is more predictable than small molecule drugs, biotransformation can significantly affect the activity of biologics. Unfortunately, there are only a limited number of published studies on the biotransformation of biologics, most of which are focused on one or a few types of modifications. In this study, an untargeted LC-MS–based differential analysis approach was developed to rapidly and precisely determine the universal biotransformation profile of biologics with the assistance of bioinformatic tools. A human monoclonal antibody (mAb) was treated with t-butyl hydroperoxide and compared with control mAb using a bottom-up proteomics approach. Thirty-seven types of post-translational modifications were identified, and 38 peptides were significantly changed. Moreover, although all modifications were screened and detected, only the ones related to the treatment process were revealed by differential analysis. Other modifications that coexist in both groups were filtered out. This novel analytical strategy can be effectively applied to study biotransformation-mediated protein modifications, which will streamline the process of biologic drug discovery and development.


Analytical Chemistry | 2018

Slow Off-Rate Modified Aptamer (SOMAmer) as a Novel Reagent in Immunoassay Development for Accurate Soluble Glypican-3 Quantification in Clinical Samples

Jia Duo; Camelia Chiriac; Richard Y.-C. Huang; John Mehl; Guodong Chen; Adrienne A. Tymiak; Peter Sabbatini; Renuka Pillutla; Yan Zhang

Accurate quantification of soluble glypican-3 in clinical samples using immunoassays is challenging, because of the lack of appropriate antibody reagents to provide a full spectrum measurement of all potential soluble glypican-3 fragments in vivo. Glypican-3 SOMAmer (slow off-rate modified aptamer) is a novel reagent that binds, with high affinity, to a far distinct epitope of glypican-3, when compared to all available antibody reagents generated in-house. This paper describes an integrated analytical approach to rational selection of key reagents based on molecular characterization by epitope mapping, with the focus on our work using a SOMAmer as a new reagent to address development challenges with traditional antibody reagents for the soluble glypican-3 immunoassay. A qualified SOMAmer-based assay was developed and used for soluble glypican-3 quantification in hepatocellular carcinoma (HCC) patient samples. The assay demonstrated good sensitivity, accuracy, and precision. Data correlated with those obtained using the traditional antibody-based assay were used to confirm the clinically relevant soluble glypican-3 forms in vivo. This result was reinforced by a liquid chromatography tandem mass spectrometry (LC-MS/MS) assay quantifying signature peptides generated from trypsin digestion. The work presented here offers an integrated strategy for qualifying aptamers as an alternative affinity platform for immunoassay reagents that can enable speedy assay development, especially when traditional antibody reagents cannot meet assay requirements.


Analytical Chemistry | 2000

Characterization of Polyether and Polyester Polyurethane Soft Blocks Using MALDI Mass Spectrometry

John Mehl; Renata Murgasova; Xia Dong; David M. Hercules; Hartmut Nefzger


Analytical Chemistry | 2000

Direct TLC-MALDI Coupling Using a Hybrid Plate

John Mehl; David M. Hercules

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