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Shipman J, Karfunkle M, Zhu H, Zhuo Y, Chen K, Patabandige M, Wu D, Oyugi M, Kerr R, Yang K, Rogstad S. Assessment of monoclonal antibody glycosylation: a comparative study using HRMS, NMR, and HILIC-FLD. Anal Bioanal Chem 2024; 416:3127-3137. [PMID: 38580890 PMCID: PMC11541336 DOI: 10.1007/s00216-024-05261-5] [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: 12/20/2023] [Revised: 03/10/2024] [Accepted: 03/12/2024] [Indexed: 04/07/2024]
Abstract
Monoclonal antibodies (mAbs) represent the largest class of therapeutic protein drug products. mAb glycosylation produces a heterogeneous, analytically challenging distribution of glycoforms that typically should be adequately characterized because glycosylation-based product quality attributes (PQAs) can impact product quality, immunogenicity, and efficacy. In this study, two products were compared using a panel of analytical methods. Two high-resolution mass spectrometry (HRMS) workflows were used to analyze N-glycans, while nuclear magnetic resonance (NMR) was used to generate monosaccharide fingerprints. These state-of-the-art techniques were compared to conventional analysis using hydrophilic interaction chromatography (HILIC) coupled with fluorescence detection (FLD). The advantages and disadvantages of each method are discussed along with a comparison of the identified glycan distributions. The results demonstrated agreement across all methods for major glycoforms, demonstrating how confidence in glycan characterization is increased by combining orthogonal analytical methodologies. The full panel of methods used represents a diverse toolbox that can be selected from based on the needs for a specific product or analysis.
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Affiliation(s)
- Joshua Shipman
- Division of Complex Drug Analysis, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, St Louis, MO, 63110, USA
| | - Michael Karfunkle
- Division of Pharmaceutical Analysis, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, St Louis, MO, 63110, USA
| | - Hongbin Zhu
- Division of Complex Drug Analysis, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, St Louis, MO, 63110, USA
| | - You Zhuo
- Division of Complex Drug Analysis, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, St Louis, MO, 63110, USA
- Office of Biotechnology Products, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, 20903, USA
| | - Kang Chen
- Division of Complex Drug Analysis, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, St Louis, MO, 63110, USA
| | - Milani Patabandige
- Division of Complex Drug Analysis, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, St Louis, MO, 63110, USA
- Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, 20903, USA
| | - Di Wu
- Immediate Office, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, 20993, USA
- AbbVie, South San Francisco, San Francisco, CA, 94080, USA
| | - Mercy Oyugi
- Immediate Office, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, 20993, USA
- Office of Biotechnology Products, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, 20903, USA
| | - Richard Kerr
- Division of Pharmaceutical Analysis, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, St Louis, MO, 63110, USA
- Sanofi, Framingham, MA, 01701, USA
| | - Kui Yang
- Division of Complex Drug Analysis, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, St Louis, MO, 63110, USA
| | - Sarah Rogstad
- Immediate Office, Office of Testing and Research, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, 20993, USA.
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Mallagaray A, Rudolph L, Lindloge M, Mölbitz J, Thomsen H, Schmelter F, Alhabash MW, Abdullah MR, Saraei R, Ehlers M, Graf T, Sina C, Petersmann A, Nauck M, Günther UL. Towards a Precise NMR Quantification of Acute Phase Inflammation Proteins from Human Serum. Angew Chem Int Ed Engl 2023; 62:e202306154. [PMID: 37341676 DOI: 10.1002/anie.202306154] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 06/22/2023]
Abstract
Nuclear Magnetic Resonance (NMR) spectra of human serum and plasma show, besides metabolites and lipoproteins, two characteristic signals termed GlycA and B arising from the acetyl groups of glycoprotein glycans from acute phase proteins, which constitute good markers for inflammatory processes. Here, we report a comprehensive assignment of glycoprotein glycan NMR signals observed in human serum, showing that GlycA and GlycB signals originate from Neu5Ac and GlcNAc moieties from N-glycans, respectively. Diffusion-edited NMR experiments demonstrate that signal components can be associated with specific acute phase proteins. Conventionally determined concentrations of acute phase glycoproteins correlate well with distinct features in NMR spectra (R2 up to 0.9422, p-value <0.001), allowing the simultaneous quantification of several acute phase inflammation proteins. Overall, a proteo-metabolomics NMR signature of significant diagnostic potential is obtained within 10-20 min acquisition time. This is exemplified in serum samples from COVID-19 and cardiogenic shock patients showing significant changes in several acute phase proteins compared to healthy controls.
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Affiliation(s)
- Alvaro Mallagaray
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Lorena Rudolph
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Melissa Lindloge
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Jarne Mölbitz
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Henrik Thomsen
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Franziska Schmelter
- Institute of Nutritional Medicine, University of Lübeck and Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Mohamad Ward Alhabash
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Mohammed R Abdullah
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald University Hospital, Fleischmannstraße 8, 17475, Greifswald, Germany
| | - Roza Saraei
- Department of Cardiology, Angiology and Intensive Care Medicine, University Heart Center Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
- German Centre for Cardiogenic Vascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Marc Ehlers
- Institute of Nutritional Medicine, University of Lübeck and Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Tobias Graf
- Department of Cardiology, Angiology and Intensive Care Medicine, University Heart Center Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
- German Centre for Cardiogenic Vascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Christian Sina
- Institute of Nutritional Medicine, University of Lübeck and Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
- Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering (IMTE), Mönkhofer Weg 239 a, 23538, Lübeck, Germany
| | - Astrid Petersmann
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald University Hospital, Fleischmannstraße 8, 17475, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, Carl von Ossietzky University, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald University Hospital, Fleischmannstraße 8, 17475, Greifswald, Germany
- German Centre for Cardiogenic Vascular Research (DZHK), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Ulrich L Günther
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
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Shipman J, Sommers C, Keire DA, Chen K, Zhu H. Comprehensive N-Glycan Mapping using Parallel Reaction Monitoring LC-MS/MS. Pharm Res 2023; 40:1399-1410. [PMID: 36513905 DOI: 10.1007/s11095-022-03453-1] [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: 07/05/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE Glycan composition can impact a biotherapeutic's safety and efficacy. For example, changes in the relative abundance of different glycan attributes like afucosylation, galactosylation or high-mannose content can change the properties or functions of a monoclonal antibody (mAb). While established methods can effectively characterize major glycan species in biotherapeutic drug products, there is still a need for more sensitive and specific methods that can effectively monitor low abundance species which may impact mAb function. METHODS Glycans released from two mAbs, adalimumab and trastuzumab, were derivatized with Rapifluor-MS™. Glycans were separated using HILIC and detected using either fluorescence (FLD) or mass spectrometry (MS). A parallel reaction monitoring (PRM) workflow was used for the MS analysis. RESULTS AND CONCLUSION FLD analysis identified 18 and 19 glycan peaks in adalimumab and trastuzumab, respectively. Glycan identities were determined using MS-analysis and a high number of FLD peaks containing co-eluting glycan species were observed. PRM analysis quantified 38 and 39 glycan species in adalimumab and trastuzumab, respectively, and the increase in glycans that could be identified was due to superior sensitivity and selectivity compared to FLD. Notably, many low abundance glycans identified by PRM included species that were not reported in other studies. PRM also offered several additional advantages; unique structural features could be identified using the collected MS/MS spectra and de-coupling MS acquisition and data processing simplified the transfer of methods between instruments. The results established PRM as a precise, informative tool for glycan analysis and quantitation.
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Affiliation(s)
- Joshua Shipman
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, MO, 63110, USA
| | - Cynthia Sommers
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, MO, 63110, USA
| | - David A Keire
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, MO, 63110, USA
| | - Kang Chen
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, MO, 63110, USA.
| | - Hongbin Zhu
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, MO, 63110, USA.
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4
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Moises JE, Regl C, Hinterholzer A, Huber CG, Schubert M. Unambiguous Identification of Glucose-Induced Glycation in mAbs and other Proteins by NMR Spectroscopy. Pharm Res 2023; 40:1341-1353. [PMID: 36510116 PMCID: PMC10338404 DOI: 10.1007/s11095-022-03454-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Glycation is a non-enzymatic and spontaneous post-translational modification (PTM) generated by the reaction between reducing sugars and primary amine groups within proteins. Because glycation can alter the properties of proteins, it is a critical quality attribute of therapeutic monoclonal antibodies (mAbs) and should therefore be carefully monitored. The most abundant product of glycation is formed by glucose and lysine side chains resulting in fructoselysine after Amadori rearrangement. In proteomics, which routinely uses a combination of chromatography and mass spectrometry to analyze PTMs, there is no straight-forward way to distinguish between glycation products of a reducing monosaccharide and an additional hexose within a glycan, since both lead to a mass difference of 162 Da. METHODS To verify that the observed mass change is indeed a glycation product, we developed an approach based on 2D NMR spectroscopy spectroscopy and full-length protein samples denatured using high concentrations of deuterated urea. RESULTS The dominating β-pyranose form of the Amadori product shows a characteristic chemical shift correlation pattern in 1H-13C HSQC spectra suited to identify glucose-induced glycation. The same pattern was observed in spectra of a variety of artificially glycated proteins, including two mAbs, as well as natural proteins. CONCLUSION Based on this unique correlation pattern, 2D NMR spectroscopy can be used to unambiguously identify glucose-induced glycation in any protein of interest. We provide a robust method that is orthogonal to MS-based methods and can also be used for cross-validation.
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Affiliation(s)
- Jennifer E Moises
- Department of Biosciences and Medical Biology, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria
| | - Christof Regl
- Department of Biosciences and Medical Biology, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria
- Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria
| | - Arthur Hinterholzer
- Department of Biosciences and Medical Biology, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria
- Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria
| | - Christian G Huber
- Department of Biosciences and Medical Biology, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria
- Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria
| | - Mario Schubert
- Department of Biosciences and Medical Biology, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria.
- Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria.
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Wang K, Dai W, Qian K, Scott B, Chen K. A Precise qNMR Method for the Rapid Quantification of Lot-to-Lot Variations in Multiple Quality Attributes of Pentosan Polysulfate Sodium. AAPS J 2023; 25:50. [PMID: 37147461 DOI: 10.1208/s12248-023-00815-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 04/24/2023] [Indexed: 05/07/2023] Open
Abstract
Pentosan polysulfate sodium (PPS) is an orphan drug with anticoagulant activity. PPS is prepared from the chemical processing of xylan extracted from beechwood tree to yield a mixture of 4-6 kDa polysaccharides. The chain is mainly composed of sulfated xylose (Xyl) with branched 4-O-methyl-glucuronate (MGA). During generic drug development, the quality attributes (QAs) including monosaccharide composition, modification, and length need to be comparable to those found in the reference list drug (RLD). However, the range of QA variation of the RLD PPS has not been well characterized. Here, multiple PPS RLD lots were studied using quantitative NMR (qNMR) and diffusion ordered spectroscopy (DOSY) to quantitate the components in the mixture and to probe both inter- and intra-lot precision variability. The DOSY precision assessed using coefficient of variation (CV) was 6%, comparable to PPS inter-lot CV of 5%. The QAs obtained from 1D qNMR were highly precise with a precision CV < 1%. The inter-lot MGA content was 4.8 ± 0.1%, indicating a very consistent botanical raw material source. Other process-related chemical modification including aldehyde at 0.51 ± 0.04%, acetylation at 3.3 ± 0.2% and pyridine at 2.08 ± 0.06%, varied more than MGA content. The study demonstrated that 1D qNMR is a quick and precise method to reveal ranges of variation in multiple attributes of RLD PPS which can be used to assess equivalency with generic formulations. Interestingly, the synthetic process appeared to introduce more variations to the PPS product than the botanical source of the material.
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Affiliation(s)
- Kai Wang
- Division of Complex Drug Analysis, Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Maryland, 20993, Silver Spring, USA
| | - Weixiang Dai
- Division of Lifecycle API, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, 20993, USA
| | - Keduo Qian
- Division of Lifecycle API, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, 20993, USA
| | - Barbara Scott
- Division of Lifecycle API, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, 20993, USA
| | - Kang Chen
- Division of Complex Drug Analysis, Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Maryland, 20993, Silver Spring, USA.
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Abstract
Glycans, carbohydrate molecules in the realm of biology, are present as biomedically important glycoconjugates and a characteristic aspect is that their structures in many instances are branched. In determining the primary structure of a glycan, the sugar components including the absolute configuration and ring form, anomeric configuration, linkage(s), sequence, and substituents should be elucidated. Solution state NMR spectroscopy offers a unique opportunity to resolve all these aspects at atomic resolution. During the last two decades, advancement of both NMR experiments and spectrometer hardware have made it possible to unravel carbohydrate structure more efficiently. These developments applicable to glycans include, inter alia, NMR experiments that reduce spectral overlap, use selective excitations, record tilted projections of multidimensional spectra, acquire spectra by multiple receivers, utilize polarization by fast-pulsing techniques, concatenate pulse-sequence modules to acquire several spectra in a single measurement, acquire pure shift correlated spectra devoid of scalar couplings, employ stable isotope labeling to efficiently obtain homo- and/or heteronuclear correlations, as well as those that rely on dipolar cross-correlated interactions for sequential information. Refined computer programs for NMR spin simulation and chemical shift prediction aid the structural elucidation of glycans, which are notorious for their limited spectral dispersion. Hardware developments include cryogenically cold probes and dynamic nuclear polarization techniques, both resulting in enhanced sensitivity as well as ultrahigh field NMR spectrometers with a 1H NMR resonance frequency higher than 1 GHz, thus improving resolution of resonances. Taken together, the developments have made and will in the future make it possible to elucidate carbohydrate structure in great detail, thereby forming the basis for understanding of how glycans interact with other molecules.
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Affiliation(s)
- Carolina Fontana
- Departamento
de Química del Litoral, CENUR Litoral Norte, Universidad de la República, Paysandú 60000, Uruguay
| | - Göran Widmalm
- Department
of Organic Chemistry, Arrhenius Laboratory, Stockholm University, S-106 91 Stockholm, Sweden
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Chen K. 2D NMR peak profiling to compare chemical differences between batches of pentosan polysulfate sodium. J Pharm Biomed Anal 2022; 211:114589. [PMID: 35038672 DOI: 10.1016/j.jpba.2022.114589] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 01/07/2022] [Accepted: 01/09/2022] [Indexed: 11/27/2022]
Abstract
Pentosan Polysulfate Sodium (PPS) is a semi-synthetic polysulfated xylan sourced from beechwood tree barks. PPS, which is mainly composed of a xylose chain with branched O-methyl-glucuronate (MGA), can have heterogeneity in monosaccharide species, sequence and chemical modifications including sulfation and acetylation. The monosaccharide composition in polysaccharide therapeutics is a frequently quoted quality attribute (QA), which has been assessed using two-dimensional (2D) 1H-13C HSQC NMR. However, the sensitivity of 2D NMR for the assessment of PPS inter-lot variability from the same manufacturer was unclear and questions remained whether 2D NMR had sufficient sensitivity to distinguish normal batch to batch variations in this QA. Here, a 2D peak profile method was applied to compare high-resolution semi-quantitative (semi-q) HSQC spectra with the inclusion of intermediate precision spectra collected on two PPS drug lots released 29 months apart (where one of the lots was expired). The semi-q HSQC NMR confirmed the mass equivalence of total polysaccharides, O-Methyl and acetyl groups between the two lots. The 2D spectral peak profile results readily identified significant lot-to-lot differences (p < 0.05) in relative distribution among most monosaccharide species, in addition to heterogeneity in MGA distribution and acetyl transfer from PPS to free acetate in the expired lot. Precisely measured chemical QAs are prerequisites to establish normal batch variation in the innovator product, providing important reference ranges for complex generic drug developers. Overall, high-resolution semi-q HSQC NMR may provide a sensitive tool to measure fine chemical differences in polysaccharide therapeutics needed to establish chemical QAs and compare batches without concerns of intrinsic NMR method variation.
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Affiliation(s)
- Kang Chen
- Division of Complex Drug Analysis, Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, USA.
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Hinterholzer A, Moises J, Regl C, Schwap S, Rapp E, Huber CG, Schubert M. Unambiguous identification of α-Gal epitopes in intact monoclonal antibodies by NMR spectroscopy. MAbs 2022; 14:2132977. [PMID: 36239533 PMCID: PMC9578466 DOI: 10.1080/19420862.2022.2132977] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Abstract
The α-Gal epitope consisting of the terminal trisaccharide Galα1,3Galβ1,4GlcNAc exposed on cell or protein surfaces can cause severe immune reactions, such as hypersensitivity reactions, in humans. This epitope is also called the xenotransplantation epitope because it is one of the main reasons for the rejection of non-human organ transplants by the human innate immune response. Recombinant therapeutic proteins expressed in murine cell lines may contain α-Gal epitopes, and therefore their absence or presence needs to be tightly monitored to minimize any undesired adverse effects. The analytical identification of α-Gal epitopes in glycoproteins using the common standard techniques based on liquid chromatography and mass spectrometry is challenging, mainly due to the isobaricity of hexose stereoisomers. Here, we present a straightforward NMR approach to detect the presence of α-Gal in biotherapeutics based on a quick screen with sensitive 1H-1H TOCSY spectra followed by a confirmation using 1H-13C HSQC spectra.Abbreviations: α-Gal: α1,3-linked galactose; AGC: automatic gain control; CHO: Chinese hamster ovary; CE: capillary electrophoreses coupled to mass spectrometry; COSY: correlation spectroscopy; DSS: 2,2-dimethyl-2-silapentane-5-sulfonate; DTT: dithiothreitol; GlcNAc: N-acetyl glusomamine; HCD: higher-energy collisional dissociation; HMBC: heteronuclear multiple-bond correlation; HPLC: high-performance liquid chromatography; HSQC: heteronuclear single-quantum corre; LacNAc: N-acetyl lactosamine; mAb: monoclonal antibody; MS: mass spectrometry; NMR: nuclear magnetic resonance; NOESY: 2D) nuclear Overhauser spectroscopy; PEG: polyethylenglycol; pH*: observed pH meter reading without correction for isotope effects; PTM: post-translational modification; TCEP: tris(2-carboxyethyl) phosphine hydrochloride; TOCSY: total correlation spectroscopy; xCGE-LIF: multiplex capillary gel electrophoresis with laser-induced fluorescence detection.
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Affiliation(s)
- Arthur Hinterholzer
- Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Salzburg, Austria,Department of Biosciences and Medical Biology, University of Salzburg, Salzburg, Austria
| | - Jennifer Moises
- Department of Biosciences and Medical Biology, University of Salzburg, Salzburg, Austria
| | - Christof Regl
- Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Salzburg, Austria,Department of Biosciences and Medical Biology, University of Salzburg, Salzburg, Austria
| | - Sebastian Schwap
- Department of Biosciences and Medical Biology, University of Salzburg, Salzburg, Austria,Bundesrealgymnasium Salzburg, Salzburg, Austria
| | - Erdmann Rapp
- glyXera GmbH, Brenneckestraße, Magdeburg, Germany,Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Christian G. Huber
- Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Salzburg, Austria,Department of Biosciences and Medical Biology, University of Salzburg, Salzburg, Austria
| | - Mario Schubert
- Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Salzburg, Austria,Department of Biosciences and Medical Biology, University of Salzburg, Salzburg, Austria,CONTACT Mario Schubert Department of Biosciences and Medical Biology,University of Salzburg, Hellbrunnerstrasse 34, 5020 Salzburg, Austria
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NMR Spectroscopy for Protein Higher Order Structure Similarity Assessment in Formulated Drug Products. Molecules 2021; 26:molecules26144251. [PMID: 34299526 PMCID: PMC8307401 DOI: 10.3390/molecules26144251] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/02/2021] [Accepted: 07/08/2021] [Indexed: 11/21/2022] Open
Abstract
Peptide and protein drug molecules fold into higher order structures (HOS) in formulation and these folded structures are often critical for drug efficacy and safety. Generic or biosimilar drug products (DPs) need to show similar HOS to the reference product. The solution NMR spectroscopy is a non-invasive, chemically and structurally specific analytical method that is ideal for characterizing protein therapeutics in formulation. However, only limited NMR studies have been performed directly on marketed DPs and questions remain on how to quantitively define similarity. Here, NMR spectra were collected on marketed peptide and protein DPs, including calcitonin-salmon, liraglutide, teriparatide, exenatide, insulin glargine and rituximab. The 1D 1H spectral pattern readily revealed protein HOS heterogeneity, exchange and oligomerization in the different formulations. Principal component analysis (PCA) applied to two rituximab DPs showed consistent results with the previously demonstrated similarity metrics of Mahalanobis distance (DM) of 3.3. The 2D 1H-13C HSQC spectral comparison of insulin glargine DPs provided similarity metrics for chemical shift difference (Δδ) and methyl peak profile, i.e., 4 ppb for 1H, 15 ppb for 13C and 98% peaks with equivalent peak height. Finally, 2D 1H-15N sofast HMQC was demonstrated as a sensitive method for comparison of small protein HOS. The application of NMR procedures and chemometric analysis on therapeutic proteins offer quantitative similarity assessments of DPs with practically achievable similarity metrics.
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