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Gautam SS, Singh SP. Immunopurification Reagents and Their Application in Biologics and Biomarker Quantitation Using LC-MS/MS in Drug Discovery. J Chromatogr Sci 2023; 61:799-805. [PMID: 36469494 DOI: 10.1093/chromsci/bmac096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Indexed: 10/01/2023]
Abstract
The LC-MS/MS technology is one of the most utilized bio-analytical tools owing to its advantage of selectivity, sensitivity and multitasking. The advent of novel biological therapies and increasing demand for protein biomarker identification and quantitation have put the LC-MS/MS technology at the forefront. The questions which are been posed to the LC-MS/MS scientist are complex. The complexity of the question increases further with the matrices in which these questions need to be answered. To bring down the complexity of the analysis, LC-MS/MS technology is utilizing the immunopurification (IP) technique as the new sample preparation technique. The IP reagents are the most common reagents which are used to decrease the matrices' complexity and allow the LC-MS/MS system to reach greater sensitivity. The utilization of these reagents is increasing every day, but the proper utilization of these reagents is still unknown to the common analyst in drug discovery. The present review throws light on the utilization aspect of these reagents, as we have classified these reagents on basis of their utilization, which will allow the readers to gain an understanding of these reagents. This review will also talk about the merits and the demerits of each approach and the current understanding of utilizing these reagents.
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Affiliation(s)
- Shashyendra Singh Gautam
- Toxicokinetics Laboratory/Analytical Chemistry Laboratory, Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Lucknow 226001, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 200102, India
- Biocon-Bristol-Myers Squibb Research Centre, Syngene International Ltd, Bangalore 560100, India
| | - Sheelendra Pratap Singh
- Toxicokinetics Laboratory/Analytical Chemistry Laboratory, Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Lucknow 226001, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 200102, India
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2
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Sleumer B, Kema IP, van de Merbel NC. Quantitative bioanalysis of proteins by digestion and LC-MS/MS: the use of multiple signature peptides. Bioanalysis 2023; 15:1203-1216. [PMID: 37724471 DOI: 10.4155/bio-2023-0129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2023] Open
Abstract
The use of multiple signature peptides for the quantification of proteins by digestion and LC-MS/MS is reviewed and evaluated here. A distinction is made based on the purpose of the use of multiple peptides: confirmation of the protein concentration, discrimination between different protein forms or species and in vivo biotransformation. Most reports that describe methods with at least two peptides use these for confirmation, but it is not always mentioned how the peptides are used and how possible differences in concentration between the peptides are handled. Differences in concentration are often reported in the case of monitoring different protein forms or in vivo biotransformation, and this offers insight into the biological fate of the protein.
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Affiliation(s)
- Bas Sleumer
- ICON Bioanalytical Laboratories, Amerikaweg 18, 9407 TK, Assen, The Netherlands
- Department of Analytical Biochemistry, University of Groningen, A Deusinglaan 1, 9700 AV Groningen, The Netherlands
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, EA61, PO Box 30.001, 9700 RB Groningen, The Netherlands
| | - Ido P Kema
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, EA61, PO Box 30.001, 9700 RB Groningen, The Netherlands
| | - Nico C van de Merbel
- ICON Bioanalytical Laboratories, Amerikaweg 18, 9407 TK, Assen, The Netherlands
- Department of Analytical Biochemistry, University of Groningen, A Deusinglaan 1, 9700 AV Groningen, The Netherlands
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3
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Kellie JF, Tran JC, Jian W, Jones B, Mehl JT, Ge Y, Henion J, Bateman KP. Intact Protein Mass Spectrometry for Therapeutic Protein Quantitation, Pharmacokinetics, and Biotransformation in Preclinical and Clinical Studies: An Industry Perspective. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1886-1900. [PMID: 32869982 DOI: 10.1021/jasms.0c00270] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Recent advancements in immunocapture methods and mass spectrometer technology have enabled intact protein mass spectrometry to be applied for the characterization of antibodies and other large biotherapeutics from in-life studies. Protein molecules have not been traditionally studied by intact mass or screened for catabolites in the same manner as small molecules, but the landscape has changed. Researchers have presented methods that can be applied to the drug discovery and development stages, and others are exploring the possibilities of the new approaches. However, a wide variety of options for assay development exists without clear recommendation on best practice, and data processing workflows may have limitations depending on the vendor. In this perspective, we share experiences and recommendations for current and future application of mass spectrometry for biotherapeutic molecule monitoring from preclinical and clinical studies.
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Affiliation(s)
- John F Kellie
- Bioanalysis, Immunogenicity & Biomarkers, GlaxoSmithKline, Collegeville, Pennsylvania 19426, United States
| | - John C Tran
- Biochemical & Cellular Pharmacology, Genentech Inc., South San Francisco, California 94080, United States
| | - Wenying Jian
- DMPK, Janssen Research & Development, Johnson & Johnson, Spring House, Pennsylvania 19477, United States
| | - Barry Jones
- Q Squared Solutions, 19 Brown Road, Ithaca, New York 14850, United States
| | - John T Mehl
- Bioanalytical Research, Bristol-Myers Squibb, Princeton, New Jersey 08648, United States
| | - Ying Ge
- Department of Cell and Regenerative Biology, Department of Chemistry, Human Proteomics Program, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Jack Henion
- Advion, Inc., 61 Brown Road, Ithaca, New York 14850, United States
| | - Kevin P Bateman
- PPDM, Merck & Co., Inc., West Point, Pennsylvania 19486, United States
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4
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Quantification of surrogate monoclonal antibodies in mouse serum using LC-MS/MS. Bioanalysis 2021; 13:147-159. [PMID: 33543654 DOI: 10.4155/bio-2020-0297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background: Surrogate monoclonal antibodies (mAbs) used in preclinical in vivo studies can be challenging to quantify due to lack of suitable immunoaffinity reagents or unavailability of the mAb protein sequence. Generic immunoaffinity reagents were evaluated to develop sensitive LC-MS/MS assays. Peptides of unknown sequence can be used for selective LC-MS quantification. Results: anti-mouse IgG1 was found to be an effective immunoaffinity reagent, enabling quantification of mouse IgG1 mAbs in mouse serum. Selective peptides of unknown sequence were applied for multiplex LC-MS quantification of two rat mAbs co-dosed in mouse. Conclusion: Generic anti-mouse IgG subtype-specific antibodies can be used to improve assay sensitivity and peptides of unknown sequence can be used to quantify surrogate mAbs when the mAb protein sequence in unavailable.
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5
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An B, Zhang M, Pu J, Qu Y, Shen S, Zhou S, Ferrari L, Vazvaei F, Qu J. Toward Accurate and Robust Liquid Chromatography–Mass Spectrometry-Based Quantification of Antibody Biotherapeutics in Tissues. Anal Chem 2020; 92:15152-15161. [DOI: 10.1021/acs.analchem.0c03620] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Bo An
- The Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Science, Buffalo, New York 14203, United States
- Protein MS, In-vitro/In-vivo Translation, GlaxoSmithKline Pharmaceuticals, Collegeville, Pennsylvania 19426, United States
| | - Ming Zhang
- The Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Science, Buffalo, New York 14203, United States
| | - Jie Pu
- The Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Science, Buffalo, New York 14203, United States
| | - Yang Qu
- The Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Science, Buffalo, New York 14203, United States
| | - Shichen Shen
- The Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Science, Buffalo, New York 14203, United States
| | - Shaolian Zhou
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel CH-4070, Switzerland
| | - Luca Ferrari
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel CH-4070, Switzerland
| | - Faye Vazvaei
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center New York, Buffalo, New York 10016, United States
| | - Jun Qu
- The Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Science, Buffalo, New York 14203, United States
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6
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Intact mAb LC–MS for drug concentration from pre-clinical studies: bioanalytical method performance and in-life samples. Bioanalysis 2020; 12:1389-1403. [DOI: 10.4155/bio-2020-0168] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background: Antibody biotherapeutic measurement from pharmacokinetic studies has not been traditionally based on intact molecular mass as is the case for small molecules. However, recent advancements in protein capture and mass spectrometer technology have enabled intact mass detection and quantitation for dosed biotherapeutics. A bioanalytical method validation is part of the regulatory requirement for sample analysis to determine drug concentration from in-life study samples. Results/methodology: Here, an intact protein LC–MS assay is subjected to mock bioanalytical method validation, and unknown samples are compared between intact protein LC–MS and established bioanalytical assay formats: Ligand-binding assay and peptide LC–MS/MS. Discussion/conclusion: Results are presented from the intact and traditional bioanalytical method evaluations, where the in-life sample concentrations were comparable across method types with associated data analyses presented. Furthermore, for intact protein LC–MS, modification monitoring and evaluation of data processing parameters is demonstrated.
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7
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Bottom-up sample preparation for the LC-MS/MS quantification of anti-cancer monoclonal antibodies in bio matrices. Bioanalysis 2020; 12:1405-1425. [PMID: 32975434 DOI: 10.4155/bio-2020-0204] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Therapeutic monoclonal antibodies (mAbs) are rapidly taking over the treatment of many malignancies, and an astonishing number of mAbs is in development. This causes a high demand for quantification of mAbs in biomatrices both for measuring therapeutic mAb concentrations and to support pharmacokinetics and pharmacodynamics studies. Conventionally, ligand-binding assays are used for these purposes, but LC-MS is gaining popularity. Although intact (top-down) and subunit (middle-down) mAb quantification is reported, signature peptide (bottom-up) quantification is currently most advantageous. This review provides an overview of the reported bottom-up mAb quantification methods in biomatrices as well as general recommendations regarding signature peptide and internal standard selection, reagent use and optimization of digestion in bottom-up quantification methods.
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Pharmacokinetic Characterization and Tissue Distribution of Fusion Protein Therapeutics by Orthogonal Bioanalytical Assays and Minimal PBPK Modeling. Molecules 2020; 25:molecules25030535. [PMID: 31991858 PMCID: PMC7037219 DOI: 10.3390/molecules25030535] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 01/15/2020] [Accepted: 01/22/2020] [Indexed: 02/07/2023] Open
Abstract
Characterization of pharmacokinetic (PK) properties and target tissue distribution of therapeutic fusion proteins (TFPs) are critical in supporting in vivo efficacy. We evaluated the pharmacokinetic profile of an investigational TFP consisting of human immunoglobulin G4 fused to the modified interferon alpha by orthogonal bioanalytical assays and applied minimal physiologically based pharmacokinetic (PBPK) modeling to characterize the TFP pharmacokinetics in mouse. The conventional ligand binding assay (LBA), immunocapture-liquid chromatography/tandem mass spectrometry (IC-LC/MS) detecting the human IgG4 peptide or the interferon alpha peptide were developed to measure the TFP concentrations in mouse plasma and tumor. The minimal PBPK model incorporated a tumor compartment model was used for data fitting. The plasma clearance measured by LBA and IC-LC/MS was comparable in the range of 0.5–0.6 mL/h/kg. However, the tumor exposure measured by the generic human IgG4 IC-LC/MS was significantly underestimated compared with the interferon alpha specific IC-LC/MS and LBA. Furthermore, the minimal PBPK model simultaneously captured the relationship between plasma and tissue exposure. We proposed the streamlined practical strategy to characterize the plasma exposure and tumor distribution of a TFP by both LBA and IC-LC/MS. The minimal PBPK modeling was established for better understanding of pharmacokinetic profile of investigational TFPs in the biotherapeutic discovery.
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9
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Protein quantification by LC–MS: a decade of progress through the pages of Bioanalysis. Bioanalysis 2019; 11:629-644. [DOI: 10.4155/bio-2019-0032] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Over the past 10 years, there has been a remarkable increase in the use of LC–MS for the quantitative determination of proteins, and this technique can now be considered an established bioanalytical platform for the quantification of macromolecular drugs and biomarkers, next to the traditional ligand-binding assays. Many researchers have contributed to the field and helped improve both the technical possibilities of LC–MS-based workflows and our understanding of the meaning of the results that are obtained. As a tribute to Bioanalysis, which has published many important contributions, this report gives a high-level overview of the most important trends in the field of protein LC–MS, as published in this journal since its inauguration a decade ago. It describes the major technical developments with regard to sample handling, separation and MS detection of both digested and intact protein analysis. In addition, the relevance of the complex structure and in vivo behavior of proteins is discussed and the effect of protein–protein interactions, biotransformation and the occurrence of isoforms on the analytical result is addressed.
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10
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Duo J, Chiriac C, Huang RYC, Mehl J, Chen G, Tymiak A, Sabbatini P, Pillutla R, Zhang Y. Slow Off-Rate Modified Aptamer (SOMAmer) as a Novel Reagent in Immunoassay Development for Accurate Soluble Glypican-3 Quantification in Clinical Samples. Anal Chem 2018; 90:5162-5170. [PMID: 29605994 DOI: 10.1021/acs.analchem.7b05277] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
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.
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Affiliation(s)
- Jia Duo
- Translational Medicine , Bristol-Myers Squibb Co. , Princeton , New Jersey 08543 , United States
| | - Camelia Chiriac
- Translational Medicine , Bristol-Myers Squibb Co. , Princeton , New Jersey 08543 , United States
| | - Richard Y-C Huang
- Pharmaceutical Candidate Optimization , Bristol-Myers Squibb Co. , Princeton , New Jersey 08543 , United States
| | - John Mehl
- Pharmaceutical Candidate Optimization , Bristol-Myers Squibb Co. , Princeton , New Jersey 08543 , United States
| | - Guodong Chen
- Pharmaceutical Candidate Optimization , Bristol-Myers Squibb Co. , Princeton , New Jersey 08543 , United States
| | - Adrienne Tymiak
- Pharmaceutical Candidate Optimization , Bristol-Myers Squibb Co. , Princeton , New Jersey 08543 , United States
| | - Peter Sabbatini
- Translational Medicine , Bristol-Myers Squibb Co. , Princeton , New Jersey 08543 , United States
| | - Renuka Pillutla
- Translational Medicine , Bristol-Myers Squibb Co. , Princeton , New Jersey 08543 , United States
| | - Yan Zhang
- Translational Medicine , Bristol-Myers Squibb Co. , Princeton , New Jersey 08543 , United States
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11
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Zhang M, An B, Qu Y, Shen S, Fu W, Chen YJ, Wang X, Young R, Canty JM, Balthasar JP, Murphy K, Bhattacharyya D, Josephs J, Ferrari L, Zhou S, Bansal S, Vazvaei F, Qu J. Sensitive, High-Throughput, and Robust Trapping-Micro-LC-MS Strategy for the Quantification of Biomarkers and Antibody Biotherapeutics. Anal Chem 2018; 90:1870-1880. [PMID: 29276835 PMCID: PMC5960441 DOI: 10.1021/acs.analchem.7b03949] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
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. Here we describe a novel trapping-micro-LC-MS (T-μLC-MS) strategy for targeted protein bioanalysis, which achieves high sensitivity with exceptional robustness and high throughput. A rapid, high-capacity trapping of biological samples is followed by μLC-MS analysis; dynamic sample trapping and cleanup are performed using pH, column chemistry, and fluid mechanics separate from the μLC-MS analysis, enabling orthogonality, which contributes to the reduction of chemical noise and thus results in improved sensitivity. Typically, the selective-trapping and -delivery approach strategically removes >85% of the matrix peptides and detrimental components, markedly enhancing sensitivity, throughput, and operational robustness, and narrow-window-isolation selected-reaction monitoring further improves the signal-to-noise ratio. In addition, unique LC-hardware setups and flow approaches eliminate gradient shock and achieve effective peak compression, enabling highly sensitive analyses of plasma or tissue samples without band broadening. In this study, the quantification of 10 biotherapeutics and biomarkers in plasma and tissues was employed for method development. As observed, a significant sensitivity gain (up to 25-fold) compared with that of conventional LC-MS was achieved, although the average run time was only 8 min/sample. No appreciable peak deterioration or loss of sensitivity was observed after >1500 injections of tissue and plasma samples. The developed method enabled, for the first time, ultrasensitive LC-MS quantification of low levels of a monoclonal antibody and antigen in a tumor and cardiac troponin I in plasma after brief cardiac ischemia. This strategy is valuable when highly sensitive protein quantification in large sample sets is required, as is often the case in typical biomarker validation and pharmaceutical investigations of antibody therapeutics.
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Affiliation(s)
- Ming Zhang
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York 14203, United States
| | - Bo An
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York 14203, United States
| | - Yang Qu
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York 14203, United States
| | - Shichen Shen
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York 14203, United States
| | - Wei Fu
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York 14203, United States
- Department of Pharmacy, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuan-Ju Chen
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York 14203, United States
| | - Xue Wang
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York 14203, United States
| | - Rebeccah Young
- Division of Cardiovascular Medicine, Western New York Department of Veterans of Affairs Medical Center, Buffalo, New York 14203, United States
- Clinical and Translational Research Center, University at Buffalo, State University of New York, Buffalo, New York 14203, United States
| | - John M Canty
- Division of Cardiovascular Medicine, Western New York Department of Veterans of Affairs Medical Center, Buffalo, New York 14203, United States
- Clinical and Translational Research Center, University at Buffalo, State University of New York, Buffalo, New York 14203, United States
| | - Joseph P Balthasar
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
| | - Keeley Murphy
- Thermo Scientific, San Jose, California 95134, United States
| | | | | | - Luca Ferrari
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel CH-4070, Switzerland
| | - Shaolian Zhou
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel CH-4070, Switzerland
| | - Surendra Bansal
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center New York, New York, New York 10016, United States
| | - Faye Vazvaei
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center New York, New York, New York 10016, United States
| | - Jun Qu
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York 14203, United States
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LC–MS Challenges in Characterizing and Quantifying Monoclonal Antibodies (mAb) and Antibody-Drug Conjugates (ADC) in Biological Samples. ACTA ACUST UNITED AC 2018. [DOI: 10.1007/s40495-017-0118-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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13
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Qu M, An B, Shen S, Zhang M, Shen X, Duan X, Balthasar JP, Qu J. Qualitative and quantitative characterization of protein biotherapeutics with liquid chromatography mass spectrometry. MASS SPECTROMETRY REVIEWS 2017; 36:734-754. [PMID: 27097288 DOI: 10.1002/mas.21500] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Accepted: 03/02/2016] [Indexed: 06/05/2023]
Abstract
In the last decade, the advancement of liquid chromatography mass spectrometry (LC/MS) techniques has enabled their broad application in protein characterization, both quantitatively and qualitatively. Owing to certain important merits of LC/MS techniques (e.g., high selectivity, flexibility, and rapid method development), LC/MS assays are often deemed as preferable alternatives to conventional methods (e.g., ligand-binding assays) for the analysis of protein biotherapeutics. At the discovery and development stages, LC/MS is generally employed for two purposes absolute quantification of protein biotherapeutics in biological samples and qualitative characterization of proteins. For absolute quantification of a target protein in bio-matrices, recent work has led to improvements in the efficiency of LC/MS method development, sample treatment, enrichment and digestion, and high-performance low-flow-LC separation. These advances have enhanced analytical sensitivity, specificity, and robustness. As to qualitative analysis, a range of techniques have been developed to characterize intramolecular disulfide bonds, glycosylation, charge variants, primary sequence heterogeneity, and the drug-to-antibody ratio of antibody drug conjugate (ADC), which has enabled a refined ability to assess product quality. In this review, we will focus on the discussion of technical challenges and strategies of LC/MS-based quantification and characterization of biotherapeutics, with the emphasis on the analysis of antibody-based biotherapeutics such as monoclonal antibodies (mAbs) and ADCs. © 2016 Wiley Periodicals, Inc. Mass Spec Rev 36:734-754, 2017.
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Affiliation(s)
- Miao Qu
- Beijing University of Chinese Medicine, Beijing, 100029, China
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, 14214
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, 14203
| | - Bo An
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, 14214
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, 14203
| | - Shichen Shen
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, 14214
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, 14203
| | - Ming Zhang
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, 14214
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, 14203
| | - Xiaomeng Shen
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, 14214
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, 14203
| | - Xiaotao Duan
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China
| | - Joseph P Balthasar
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, 14214
| | - Jun Qu
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, 14214
- New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, 14203
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14
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Novel strategy using tryptic peptide immunoaffinity-based LC–MS/MS to quantify denosumab in monkey serum. Bioanalysis 2017; 9:1451-1463. [DOI: 10.4155/bio-2017-0106] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Aim: Denosumab is a recombinant fully human IgG2 that has a high affinity and specificity for human RANKL. Commercially available RANKL labeled with an Fc fragment cannot be used to establish an indirect ELISA. To characterize denosumab pharmacokinetic a robust and accuracy method should be developed urgently. Results: In this study, an immunoaffinity enrichment method coupled with LC–MS/MS was established. The LC–MS/MS method acquired a linear range from 0.1 to 30 μg/ml. The intra- and inter-run precision (CV%) was within 11.5 and 10.5%, respectively. More importantly, the LC–MS/MS pharmacokinetic data were consistent with ELISA. Conclusion: This approach accelerated the quantification, reduced the costs and provided an alternative in case of lacking the special antigen to denosumab or a RANKL-biotinylated reagent.
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16
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Ciccimaro E, Zhu Y, Ostanin D, Suchard S, MacGuire J, Xiao Q, Dongre A, Chimalakonda A, Olah T, Shipkova P. Antibody Drug-Target Engagement Measurement in Tissue Using Quantitative Affinity Extraction Liquid Chromatography–Mass Spectrometry: Method Development and Qualification. Anal Chem 2017; 89:5115-5123. [DOI: 10.1021/acs.analchem.7b00688] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Eugene Ciccimaro
- Bristol-Myers Squibb, Princeton, New Jersey 08543, United States
| | - Yongxin Zhu
- Bristol-Myers Squibb, Princeton, New Jersey 08543, United States
| | - Dmitry Ostanin
- Bristol-Myers Squibb, Princeton, New Jersey 08543, United States
| | - Suzanne Suchard
- Bristol-Myers Squibb, Princeton, New Jersey 08543, United States
| | - Jamus MacGuire
- Bristol-Myers Squibb, Princeton, New Jersey 08543, United States
| | - Qing Xiao
- Bristol-Myers Squibb, Princeton, New Jersey 08543, United States
| | - Ashok Dongre
- Bristol-Myers Squibb, Princeton, New Jersey 08543, United States
| | | | - Timothy Olah
- Bristol-Myers Squibb, Princeton, New Jersey 08543, United States
| | - Petia Shipkova
- Bristol-Myers Squibb, Princeton, New Jersey 08543, United States
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3-(4-Hydroxyphenyl)propionic acid: the forgotten detection substrate for ligand-binding assay-based bioanalysis. Bioanalysis 2017; 9:407-418. [DOI: 10.4155/bio-2016-0225] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Ligand-binding assays are ideal for routine bioanalysis, but we reason that the straightforward replacement of the conventional chromogenic horseradish peroxidase substrate, 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid, of a routinely used preclinical immunoassay to detect hIgG, with the fluorogenic 3-(4-hydroxyphenyl)propionic acid would broaden the narrow dynamic range. The replacement leads to a sensitivity of 0.47 (minimum required dilution [MRD] 10) and 1.02 (MRD 50) ng/ml, and dynamic ranges of 3.3 (MRD 10) and 3.6 (MRD 50) orders of magnitude, and thereby had improved sensitivity and dynamic range compared with other conventional colorimetric ELISAs, other ligand-binding assay technologies or LC–MS assays. Improvements in sensitivity and dynamic range were achieved for the sera of horse, mice and monkeys without assay optimization.
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Quantification of in vivo site-specific Asp isomerization and Asn deamidation of mAbs in animal serum using IP-LC–MS. Bioanalysis 2016; 8:1611-1622. [DOI: 10.4155/bio-2016-0035] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Background: Isomerization of aspartic acid and deamidation of asparagine are two common amino acid modifications that are of particular concern if located within the complementarity-determining region of therapeutic antibodies. Questions arise as to the extent of modification occurring in circulation due to potential exposure of the therapeutic antibody to different pH regimes. Results: To enable evaluation of site-specific isomerization and deamidation of human mAbs in vivo, immunoprecipitation (IP) has been combined with LC–MS providing selective enrichment, separation and detection of naive and modified forms of tryptic peptides comprising complementarity-determining region sequences. Conclusion: IP-LC–MS can be applied to simultaneously quantify in vivo drug concentrations and measure the extent of isomerization or deamidation in PK studies conducted during the drug discovery stage.
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Quantitative analysis of hIgG1 in monkey serum by LC–MS/MS using mass spectrometric immunoassay. Bioanalysis 2016; 8:1035-49. [DOI: 10.4155/bio.16.32] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Aim: A sensitive generic LC–MS/MS method for hIgG1 quantification in cynomolgus monkey serum using mass spectrometric immunoassay disposable automation research tips (MSIA-D.A.R.T.'S™) is reported. Results: The hIgG1 was captured with a biotinylated mouse anti-hIgG antibody (50.0 µg/ml) targeting the fragment crystallizable (Fc) region. Elution from the streptavidin-coated MSIA-D.A.R.T.'s was conducted with 0.4% trifluoroacetic acid in water. The method was selective and linear from 10.0 to 1000 ng/ml using 100 µl of serum. The method was evaluated regarding accuracy, precision, carry-over, dilution, auto-sampler stability and applied for the determination of hIgG1 concentration in monkey serum after intravitreal administration. Conclusion: The present assay is suitable for quantitative analysis of hIgG1-based therapeutic proteins in monkey serum at low levels.
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Ultrasensitive quantitative LC–MS/MS of an inhibitor of apoptosis protein's antagonist in plasma using protein target affinity extraction. Bioanalysis 2016; 8:265-74. [DOI: 10.4155/bio.15.246] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
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.
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Special focus issue: Bioanalysis of large molecules by LC-MS. Bioanalysis 2015; 6:1727-9. [PMID: 25157478 DOI: 10.4155/bio.14.147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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