دورية أكاديمية

N-linked glycosylation of the M-protein variable region: glycoproteogenomics reveals a new layer of personalized complexity in multiple myeloma.

التفاصيل البيبلوغرافية
العنوان: N-linked glycosylation of the M-protein variable region: glycoproteogenomics reveals a new layer of personalized complexity in multiple myeloma.
المؤلفون: Langerhorst P; Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands., Baerenfaenger M; 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., Kulkarni P; 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., Nadal S; CY Cergy Paris Université, CNRS, BioCIS, Cergy-Pontoise, France., Wijnands C; Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands., Post MA; Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands., Noori S; Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands., vanDuijn MM; Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands., Joosten I; Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands., Dejoie T; Biochemistry Laboratory, Centre Hospitalier Universitaire (CHU), Nantes, France., van Gool AJ; Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands., Gloerich J; Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands., Lefeber DJ; Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands., Wessels HJCT; Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands., Jacobs JFM; Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
المصدر: Clinical chemistry and laboratory medicine [Clin Chem Lab Med] 2024 Feb 09; Vol. 62 (8), pp. 1626-1635. Date of Electronic Publication: 2024 Feb 09 (Print Publication: 2024).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Walter De Gruyter Country of Publication: Germany NLM ID: 9806306 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 1437-4331 (Electronic) Linking ISSN: 14346621 NLM ISO Abbreviation: Clin Chem Lab Med Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Berlin ; New York : Walter De Gruyter, c1998-
مواضيع طبية MeSH: Multiple Myeloma*/metabolism , Multiple Myeloma*/genetics , Multiple Myeloma*/diagnosis, Humans ; Glycosylation ; Proteomics/methods ; Tandem Mass Spectrometry ; Glycoproteins/metabolism ; Chromatography, Liquid ; Myeloma Proteins/metabolism ; Myeloma Proteins/analysis
مستخلص: 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.
(© 2024 the author(s), published by De Gruyter, Berlin/Boston.)
References: Röllig, C, Knop, S, Bornhäuser, M. Multiple myeloma. Lancet 2015;385:2197–208. https://doi.org/10.1016/s0140-6736(14)60493-1 . (PMID: 10.1016/s0140-6736(14)60493-1)
Willrich, MAV, Murray, DL, Kyle, RA. Laboratory testing for monoclonal gammopathies: focus on monoclonal gammopathy of undetermined significance and smoldering multiple myeloma. Clin Biochem 2018;51:38–47. https://doi.org/10.1016/j.clinbiochem.2017.05.001 . (PMID: 10.1016/j.clinbiochem.2017.05.001)
Langerhorst, P, Brinkman, AB, VanDuijn, MM, Wessels, HJCT, Groenen, PJTA, Joosten, I, et al.. Clonotypic features of rearranged immunoglobulin genes yield personalized biomarkers for minimal residual disease monitoring in multiple myeloma. Clin Chem 2021;67:867–75. https://doi.org/10.1093/clinchem/hvab017 . (PMID: 10.1093/clinchem/hvab017)
Di Noia, JM, Neuberger, MS. Molecular mechanisms of antibody somatic hypermutation. Ann Rev Biochem 2007;76:1–22. https://doi.org/10.1146/annurev.biochem.76.061705.090740 . (PMID: 10.1146/annurev.biochem.76.061705.090740)
Barnidge, DR, Tschumper, RC, Theis, JD, Snyder, MR, Jelinek, DF, Katzmann, JA, et al.. Monitoring M-proteins in patients with multiple myeloma using heavy-chain variable region clonotypic peptides and LC-MS/MS. J Proteome Res 2014;13:1905–10. https://doi.org/10.1021/pr5000544 . (PMID: 10.1021/pr5000544)
Langerhorst, P, Noori, S, Zajec, M, De Rijke, YB, Gloerich, J, van Gool, AJ, et al.. Multiple myeloma minimal residual disease detection: targeted mass spectrometry in blood vs next-generation sequencing in bone marrow. Clin Chem 2021;67:1689–98. https://doi.org/10.1093/clinchem/hvab187 . (PMID: 10.1093/clinchem/hvab187)
Zajec, M, Langerhorst, P, VanDuijn, MM, Gloerich, J, Russcher, H, van Gool, AJ, et al.. Mass spectrometry for identification, monitoring, and minimal residual disease detection of M-proteins. Clin Chem 2020;66:421–33. https://doi.org/10.1093/clinchem/hvz041 . (PMID: 10.1093/clinchem/hvz041)
Martins, CO, Huet, S, Yi, SS, Ritorto, MS, Landgren, O, Dogan, A, et al.. Mass spectrometry–based method targeting Ig variable regions for assessment of minimal residual disease in multiple myeloma. J Mol Diagn 2020;22:901–11. https://doi.org/10.1016/j.jmoldx.2020.04.002 . (PMID: 10.1016/j.jmoldx.2020.04.002)
Reily, C, Stewart, TJ, Renfrow, MB, Novak, J. Glycosylation in health and disease. Nat Rev Nephrol 2019;15:346–66. https://doi.org/10.1038/s41581-019-0129-4 . (PMID: 10.1038/s41581-019-0129-4)
Gudelj, I, Lauc, G, Pezer, M. Immunoglobulin G glycosylation in aging and diseases. Cell Immunol 2018;333:65–79. https://doi.org/10.1016/j.cellimm.2018.07.009 . (PMID: 10.1016/j.cellimm.2018.07.009)
Stanley, P, Taniguchi, N, Aebi, M. N-glycans. In: Varki, A, Cummings, RD, Esko, JD, Stanley, P, Hart, GW, Aebi, M, editors, et al.. Essential of glycobiology . NY: Cold Spring Harbor; 2015:99–111 pp.
van de Bovenkamp, FS, Hafkenscheid, L, Rispens, T, Rombouts, Y. The emerging importance of IgG fab glycosylation in immunity. J Immunol 2016;196:1435–41. https://doi.org/10.4049/jimmunol.1502136 . (PMID: 10.4049/jimmunol.1502136)
Van De Bovenkamp, FS, Derksen, NIL, Ooijevaar-de Heer, P, Van Schie, KA, Kruithof, S, Berkowska, MA, et al.. Adaptive antibody diversification through N-linked glycosylation of the immunoglobulin variable region. Proc Natl Acad Sci U S A 2018;115:1901–6. https://doi.org/10.1073/pnas.1711720115 . (PMID: 10.1073/pnas.1711720115)
Bondt, A, Rombouts, Y, Selman, MHJ, Hensbergen, PJ, Reiding, KR, Hazes, JMW, et al.. Immunoglobulin G (IgG) fab glycosylation analysis using a new mass spectrometric high-throughput profiling method reveals pregnancy-associated changes. Mol Cell Proteomics 2014;13:3029–39. https://doi.org/10.1074/mcp.m114.039537 . (PMID: 10.1074/mcp.m114.039537)
Koers, J, Sciarrillo, R, Derksen, NIL, Vletter, EM, Fillié-Grijpma, YE, Raveling-Eelsing, E, et al.. Differences in IgG autoantibody Fab glycosylation across autoimmune diseases. J Allergy Clin Immunol 2023;151:1646–54. https://doi.org/10.1016/j.jaci.2022.10.035 . (PMID: 10.1016/j.jaci.2022.10.035)
Kourelis, T, Murray, DL, Dasari, S, Kumar, S, Barnidge, D, Madden, B, et al.. MASS-FIX may allow identification of patients at risk for light chain amyloidosis before the onset of symptoms. Am J Hematol 2018;93:E368–70. https://doi.org/10.1002/ajh.25244 . (PMID: 10.1002/ajh.25244)
Dispenzieri, A, Larson, DR, Rajkumar, SV, Kyle, RA, Kumar, SK, Kourelis, T, et al.. N-glycosylation of monoclonal light chains on routine MASS-FIX testing is a risk factor for MGUS progression. Leukemia 2020;34:2749–53. https://doi.org/10.1038/s41375-020-0940-8 . (PMID: 10.1038/s41375-020-0940-8)
Kinoshita, N, Ohno, M, Nishiura, T, Fujii, S, Nishikawa, A, Kawakami, Y, et al.. Glycosylation at the Fab portion of myeloma immunoglobulin G and increased fucosylated biantennary sugar chains: structural analysis by high-performance liquid chromatography and antibody-lectin enzyme immunoassay using lens culinaris agglutinin. Cancer Res 1991;51:5888–92.
Shrivastava, A, Joshi, S, Guttman, A, Rathore, AS. N-Glycosylation of monoclonal antibody therapeutics: a comprehensive review on significance and characterization. Anal Chim Acta 2022;1209:339828. https://doi.org/10.1016/j.aca.2022.339828 . (PMID: 10.1016/j.aca.2022.339828)
Peng, W, den Boer, MA, Tamara, S, Mokiem, NJ, van der Lans, SPA, Bondt, A, et al.. Direct mass spectrometry-based detection and antibody sequencing of monoclonal gammopathy of undeterminder significance from patient serum: a case study. J Proteome Res 2023;9:3022–8.
Schulte, D, Peng, W, Snijder, J. Template-based assembly of proteomic short reads for de novo antibody sequencing and repertoire profiling. Anal Chem 2022;94:10391–9. https://doi.org/10.1021/acs.analchem.2c01300 . (PMID: 10.1021/acs.analchem.2c01300)
Wessels, HJCT, Kulkarni, P, van Dael, M, Suppers, A, Willems, E, Zijlstra, F, et al.. Plasma glycoproteomics delivers high-specificity disease biomarkers by detecting site-specific glycosylation abnormalities. bioRxiv 2022;2022.05.31.494121.
Bolotin, DA, Poslavsky, S, Mitrophanov, I, Shugay, M, Mamedov, IZ, Putintseva, EV, et al.. MiXCR: software for comprehensive adaptive immunity profiling. Nat Methods 2015;12:380–1. https://doi.org/10.1038/nmeth.3364 . (PMID: 10.1038/nmeth.3364)
Warren, RL, Holt, RA. Targeted assembly of short sequence reads. PLoS One 2011;6:e19816. https://doi.org/10.1038/npre.2011.5524 . (PMID: 10.1038/npre.2011.5524)
Guo, Y, Chen, K, Kwong, PD, Shapiro, L, Sheng, Z. cAb-Rep: a database of curated antibody repertoires for exploring antibody diversity and predicting antibody prevalence. Front Immunol 2019;10:2365. https://doi.org/10.3389/fimmu.2019.02365 . (PMID: 10.3389/fimmu.2019.02365)
Gavel, Y, Heijne, GV. Sequence differences between glycosylated and non-glycosylated Asn-X-Thr/Ser acceptor sites: implications for protein engineering. Protein Eng 1990;3:433. https://doi.org/10.1093/protein/3.5.433 . (PMID: 10.1093/protein/3.5.433)
Attal, M, Lauwers-Cances, V, Hulin, C, Leleu, X, Caillot, D, Escoffre, M, et al.. Lenalidomide, bortezomib, and dexamethasone with transplantation for myeloma. N Engl J Med 2017;376:1311–20. https://doi.org/10.1056/nejmoa1611750 . (PMID: 10.1056/nejmoa1611750)
Perez-Riverol, Y, Bai, J, Bandla, C, García-Seisdedos, D, Hewapathirana, S, Kamatchinathan, S, et al.. The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Res 2022;50:D543–52. https://doi.org/10.1093/nar/gkab1038 . (PMID: 10.1093/nar/gkab1038)
Swindells, MB, Porter, CT, Couch, M, Hurst, J, Abhinandan, KR, Nielsen, JH, et al.. abYsis: integrated antibody sequence and structure-management, analysis, and prediction. J Mol Biol 2017;429:356–64. https://doi.org/10.1016/j.jmb.2016.08.019 . (PMID: 10.1016/j.jmb.2016.08.019)
Lefranc, M-P, Giudicelli, V, Ginestoux, C, Jabado-Michaloud, J, Folch, G, Bellahcene, F, et al.. IMGT(R), the international ImMunoGeneTics information system(R). Nucleic Acids Res 2009;37:D1006–12. https://doi.org/10.1093/nar/gkn838 . (PMID: 10.1093/nar/gkn838)
Zhu, D, McCarthy, H, Ottensmeier, CH, Johnson, P, Hamblin, TJ, Stevenson, FK. Acquisition of potential N-glycosylation sites in the immunoglobulin variable region by somatic mutation is a distinctive feature of follicular lymphoma. Blood 2002;99:2562–8. https://doi.org/10.1182/blood.v99.7.2562 . (PMID: 10.1182/blood.v99.7.2562)
Nau, A, Shen, Y, Sanchorawala, V, Prokaeva, T, Morgan, GJ. Complete variable domain sequences of monoclonal antibody light chains identified from untargeted RNA sequencing data. Front Immunol 2023;14:11627235. https://doi.org/10.3389/fimmu.2023.1167235 . (PMID: 10.3389/fimmu.2023.1167235)
Nevone, A, Girelli, M, Mangiacavalli, S, Paiva, B, Milani, P, Cascino, P, et al.. An N-glycosylation hotspot in immunoglobulin κ light chains is associated with AL amyloidosis. Leukemia 2022;36:2076–85. https://doi.org/10.1038/s41375-022-01599-w . (PMID: 10.1038/s41375-022-01599-w)
Fermand, J-P, Bridoux, F, Dispenzieri, A, Jaccard, A, Kyle, RA, Leung, N, et al.. Monoclonal gammopathy of clinical significance: a novel concept with therapeutic implications. Blood 2018;132:1478–85. https://doi.org/10.1182/blood-2018-04-839480 . (PMID: 10.1182/blood-2018-04-839480)
Sirac, C, Herrera, GA, Sanders, PW, Batuman, V, Bender, S, Ayala, MV, et al.. Animal models of monoclonal immunoglobulin-related renal diseases. Nat Rev Nephrol 2018;14:246–64. https://doi.org/10.1038/nrneph.2018.8 . (PMID: 10.1038/nrneph.2018.8)
Westhrin, M, Kovcic, V, Zhang, Z, Moen, SH, Vikene Nedal, TM, Bondt, A, et al.. Monoclonal immunoglobulins promote bone loss in multiple myeloma. Blood 2020;136:2656–66. https://doi.org/10.1182/blood.2020006045 . (PMID: 10.1182/blood.2020006045)
Miller, ID, Kohlhagen, MC, Ladwig, PM, Dasari, S, Kumar, S, Dispenzieri, A, et al.. Characterizing M-protein light chain glycosylation via mass spectrometry. Clin Biochem 2022. https://doi.org/10.1016/j.clinbiochem.2022.09.004 . (PMID: 10.1016/j.clinbiochem.2022.09.004)
Ang, MY, Low, TY, Lee, PY, Wan, M, Nazarie, WF, Guryev, V, et al.. Proteogenomics: from next-generation sequencing (NGS) and mass spectrometry-based proteomics to precision medicine. Clin Chim Acta 2019;498:38–46. https://doi.org/10.1016/j.cca.2019.08.010 . (PMID: 10.1016/j.cca.2019.08.010)
Hyung, D, Baek, MJ, Lee, J, Cho, J, Kim, HS, Park, C, et al.. Protein-gene expression nexus: comprehensive characterization of human cancer cell lines with proteogenomic analysis. Comput Struct Biotechnol J 2021;19:4759–69. https://doi.org/10.1016/j.csbj.2021.08.022 . (PMID: 10.1016/j.csbj.2021.08.022)
Rodriguez, H, Zenklusen, JC, Staudt, LM, Doroshow, JH, Lowy, DR. The next horizon in precision oncology: proteogenomics to inform cancer diagnosis and treatment. Cell 2021;184:1661–70. https://doi.org/10.1016/j.cell.2021.02.055 . (PMID: 10.1016/j.cell.2021.02.055)
de Graaf, SC, Hoek, M, Tamara, S, Heck, AJR. A perspective toward mass spectrometry-based de novo sequencing of endogenous antibodies. mAbs 2022;14:1–17. https://doi.org/10.1080/19420862.2022.2079449 . (PMID: 10.1080/19420862.2022.2079449)
فهرسة مساهمة: Keywords: M-protein; N-glycosylation; glycoproteogenomics; multiple myeloma; variable region
المشرفين على المادة: 0 (Glycoproteins)
0 (Myeloma Proteins)
تواريخ الأحداث: Date Created: 20240209 Date Completed: 20240624 Latest Revision: 20240624
رمز التحديث: 20240624
DOI: 10.1515/cclm-2023-1189
PMID: 38332688
قاعدة البيانات: MEDLINE
الوصف
تدمد:1437-4331
DOI:10.1515/cclm-2023-1189