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Neubert H, Shuford CM, Olah TV, Garofolo F, Schultz GA, Jones BR, Amaravadi L, Laterza OF, Xu K, Ackermann BL. Protein Biomarker Quantification by Immunoaffinity Liquid Chromatography–Tandem Mass Spectrometry: Current State and Future Vision. Clin Chem 2020; 66:282-301. [DOI: 10.1093/clinchem/hvz022] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 11/12/2019] [Indexed: 12/19/2022]
Abstract
Abstract
Immunoaffinity–mass spectrometry (IA-MS) is an emerging analytical genre with several advantages for profiling and determination of protein biomarkers. Because IA-MS combines affinity capture, analogous to ligand binding assays (LBAs), with mass spectrometry (MS) detection, this platform is often described using the term hybrid methods. The purpose of this report is to provide an overview of the principles of IA-MS and to demonstrate, through application, the unique power and potential of this technology. By combining target immunoaffinity enrichment with the use of stable isotope-labeled internal standards and MS detection, IA-MS achieves high sensitivity while providing unparalleled specificity for the quantification of protein biomarkers in fluids and tissues. In recent years, significant uptake of IA-MS has occurred in the pharmaceutical industry, particularly in the early stages of clinical development, enabling biomarker measurement previously considered unattainable. By comparison, IA-MS adoption by CLIA laboratories has occurred more slowly. Current barriers to IA-MS use and opportunities for expanded adoption are discussed. The path forward involves identifying applications for which IA-MS is the best option compared with LBA or MS technologies alone. IA-MS will continue to benefit from advances in reagent generation, more sensitive and higher throughput MS technologies, and continued growth in use by the broader analytical community. Collectively, the pursuit of these opportunities will secure expanded long-term use of IA-MS for clinical applications.
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Affinity extraction LC-MS for small-molecule drug quantification: considerations, challenges and potential applications. Bioanalysis 2017. [PMID: 28627228 DOI: 10.4155/bio-2017-0094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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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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