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Langerhorst P, Baerenfaenger M, Kulkarni P, Nadal S, Wijnands C, Post MA, Noori S, vanDuijn MM, Joosten I, Dejoie T, van Gool AJ, Gloerich J, Lefeber DJ, Wessels HJCT, Jacobs JFM. N-linked glycosylation of the M-protein variable region: glycoproteogenomics reveals a new layer of personalized complexity in multiple myeloma. Clin Chem Lab Med 2024; 62:1626-1635. [PMID: 38332688 DOI: 10.1515/cclm-2023-1189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 01/28/2024] [Indexed: 02/10/2024]
Abstract
OBJECTIVES Multiple myeloma (MM) is a plasma cell malignancy characterized by a monoclonal expansion of plasma cells that secrete a characteristic M-protein. This M-protein is crucial for diagnosis and monitoring of MM in the blood of patients. Recent evidence has emerged suggesting that N-glycosylation of the M-protein variable (Fab) region contributes to M-protein pathogenicity, and that it is a risk factor for disease progression of plasma cell disorders. Current methodologies lack the specificity to provide a site-specific glycoprofile of the Fab regions of M-proteins. Here, we introduce a novel glycoproteogenomics method that allows detailed M-protein glycoprofiling by integrating patient specific Fab region sequences (genomics) with glycoprofiling by glycoproteomics. METHODS Glycoproteogenomics was used for the detailed analysis of de novo N-glycosylation sites of M-proteins. First, Genomic analysis of the M-protein variable region was used to identify de novo N-glycosylation sites. Subsequently glycopeptide analysis with LC-MS/MS was used for detailed analysis of the M-protein glycan sites. RESULTS Genomic analysis uncovered a more than two-fold increase in the Fab Light Chain N-glycosylation of M-proteins of patients with Multiple Myeloma compared to Fab Light Chain N-glycosylation of polyclonal antibodies from healthy individuals. Subsequent glycoproteogenomics analysis of 41 patients enrolled in the IFM 2009 clinical trial revealed that the majority of the Fab N-glycosylation sites were fully occupied with complex type glycans, distinguishable from Fc region glycans due to high levels of sialylation, fucosylation and bisecting structures. CONCLUSIONS Together, glycoproteogenomics is a powerful tool to study de novo Fab N-glycosylation in plasma cell dyscrasias.
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Affiliation(s)
- Pieter Langerhorst
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Melissa Baerenfaenger
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
- Division of BioAnalytical Chemistry, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Purva Kulkarni
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Simon Nadal
- CY Cergy Paris Université, CNRS, BioCIS, Cergy-Pontoise, France
| | - Charissa Wijnands
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Merel A Post
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Somayya Noori
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Martijn M vanDuijn
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Irma Joosten
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thomas Dejoie
- Biochemistry Laboratory, Centre Hospitalier Universitaire (CHU), Nantes, France
| | - Alain J van Gool
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jolein Gloerich
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dirk J Lefeber
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hans J C T Wessels
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Joannes F M Jacobs
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2021-2022. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38925550 DOI: 10.1002/mas.21873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 06/28/2024]
Abstract
The use of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well-established technique and this review is the 12th update of the original article published in 1999 and brings coverage of the literature to the end of 2022. As with previous review, this review also includes a few papers that describe methods appropriate to analysis by MALDI, such as sample preparation, even though the ionization method is not MALDI. The review follows the same format as previous reviews. It is divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of computer software for structural identification. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other general areas such as medicine, industrial processes, natural products and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. MALDI is still an ideal technique for carbohydrate analysis, particularly in its ability to produce single ions from each analyte and advancements in the technique and range of applications show little sign of diminishing.
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Moonen DH, Kohlhagen M, Dasari S, Willrich MA, Kourelis T, Dispenzieri A, Murray DL. Utilizing Mass Spectrometry to Detect and Isotype Monoclonal Proteins in Urine: Comparison to Electrophoretic Methods. Clin Chem 2023:7179826. [PMID: 37228061 DOI: 10.1093/clinchem/hvad053] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 04/10/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Matrix assisted laser desorption ionization time of flight mass spectrometry coupled to immune enrichment (MASS-FIX) as an alternative to serum immunofixation electrophoresis has demonstrated increased sensitivity in monoclonal protein (MP) detection with improved laboratory workflow. This study explored similar replacement of urine immunofixation electrophoresis (u-IFE) with urine MASS-FIX (u-MASS-FIX) by method comparison. METHODS Residual urine (n = 1008) from Mayo Clinic patients with a known plasma cell disease were assayed neat by u-MASS-FIX analysis. Each sample was paired with the following: u-IFE, urine total protein, urine protein electrophoresis, serum κ/λ free light chain (LC) ratio (rFLC), and serum MASS-FIX (s-MASS-FIX). Analytical sensitivities were measured in pooled urine spiked with daratumumab. RESULTS u-IFE and u-MASS-FIX had 91% agreement in determining the presence/absence of MPs (Cohen kappa = 0.8200). In discrepant cases, serum rFLC statistically aligned more closely with positive u-MASS-FIX cases than u-IFE. Patients positive by both s-MASS-FIX and u-MASS-FIX had matching MP masses (±20 daltons) in 94% of cases. The u-MASS-FIX spectra further identified κ/λ LC fragments and glycosylated LCs not appreciated on u-IFE. The unconcentrated u-MASS-FIX limit of detection of 0.156 mg/mL was determined equivalent to 100× concentrated u-IFE. CONCLUSION u-MASS-FIX is a reliable alternative to u-IFE with the added benefits of LC glycosylation detection and MP mass tracking between serum and urine. Furthermore, u-MASS-FIX is performed using neat urine. Eliminating the need to concentrate urine for u-IFE has potential to increase productivity by decreasing labor minutes per test.
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Affiliation(s)
- Danelle H Moonen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Mindy Kohlhagen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Surendra Dasari
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Maria A Willrich
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Taxiarchis Kourelis
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Angela Dispenzieri
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - David L Murray
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
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