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Halama A, Zaghlool S, Thareja G, Kader S, Al Muftah W, Mook-Kanamori M, Sarwath H, Mohamoud YA, Stephan N, Ameling S, Pucic Baković M, Krumsiek J, Prehn C, Adamski J, Schwenk JM, Friedrich N, Völker U, Wuhrer M, Lauc G, Najafi-Shoushtari SH, Malek JA, Graumann J, Mook-Kanamori D, Schmidt F, Suhre K. A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes. Nat Commun 2024; 15:7111. [PMID: 39160153 PMCID: PMC11333501 DOI: 10.1038/s41467-024-51134-x] [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: 08/01/2023] [Accepted: 07/26/2024] [Indexed: 08/21/2024] Open
Abstract
In-depth multiomic phenotyping provides molecular insights into complex physiological processes and their pathologies. Here, we report on integrating 18 diverse deep molecular phenotyping (omics-) technologies applied to urine, blood, and saliva samples from 391 participants of the multiethnic diabetes Qatar Metabolomics Study of Diabetes (QMDiab). Using 6,304 quantitative molecular traits with 1,221,345 genetic variants, methylation at 470,837 DNA CpG sites, and gene expression of 57,000 transcripts, we determine (1) within-platform partial correlations, (2) between-platform mutual best correlations, and (3) genome-, epigenome-, transcriptome-, and phenome-wide associations. Combined into a molecular network of > 34,000 statistically significant trait-trait links in biofluids, our study portrays "The Molecular Human". We describe the variances explained by each omics in the phenotypes (age, sex, BMI, and diabetes state), platform complementarity, and the inherent correlation structures of multiomics data. Further, we construct multi-molecular network of diabetes subtypes. Finally, we generated an open-access web interface to "The Molecular Human" ( http://comics.metabolomix.com ), providing interactive data exploration and hypotheses generation possibilities.
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Affiliation(s)
- Anna Halama
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
| | - Shaza Zaghlool
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Gaurav Thareja
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Sara Kader
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Wadha Al Muftah
- Qatar Genome Program, Qatar Foundation, Qatar Science and Technology Park, Innovation Center, Doha, Qatar
- Department of Genetic Medicine, Weill Cornell Medicine, Doha, Qatar
| | | | - Hina Sarwath
- Proteomics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | | | - Nisha Stephan
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Sabine Ameling
- German Centre for Cardiovascular Research, Partner Site Greifswald, University Medicine Greifswald, Greifswald, Germany
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | | | - Jan Krumsiek
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Cornelia Prehn
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, Neuherberg, Germany
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Jochen M Schwenk
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Nele Friedrich
- German Centre for Cardiovascular Research, Partner Site Greifswald, University Medicine Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- German Centre for Cardiovascular Research, Partner Site Greifswald, University Medicine Greifswald, Greifswald, Germany
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - S Hani Najafi-Shoushtari
- MicroRNA Core Laboratory, Division of Research, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
- Department of Cell and Developmental Biology, Weill Cornell Medicine, New York, NY, USA
| | - Joel A Malek
- Department of Genetic Medicine, Weill Cornell Medicine, Doha, Qatar
- Genomics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Johannes Graumann
- Institute of Translational Proteomics, Department of Medicine, Philipps-Universität Marburg, Marburg, Germany
| | - Dennis Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Frank Schmidt
- Proteomics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
- Department of Biochemistry, Weill Cornell Medicine, New York, NY, USA
| | - Karsten Suhre
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
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2
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Beyze A, Larroque C, Le Quintrec M. The role of antibody glycosylation in autoimmune and alloimmune kidney diseases. Nat Rev Nephrol 2024:10.1038/s41581-024-00850-0. [PMID: 38961307 DOI: 10.1038/s41581-024-00850-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2024] [Indexed: 07/05/2024]
Abstract
Immunoglobulin glycosylation is a pivotal mechanism that drives the diversification of antibody functions. The composition of the IgG glycome is influenced by environmental factors, genetic traits and inflammatory contexts. Differential IgG glycosylation has been shown to intricately modulate IgG effector functions and has a role in the initiation and progression of various diseases. Analysis of IgG glycosylation is therefore a promising tool for predicting disease severity. Several autoimmune and alloimmune disorders, including critical and potentially life-threatening conditions such as systemic lupus erythematosus, anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis and antibody-mediated kidney graft rejection, are driven by immunoglobulin. In certain IgG-driven kidney diseases, including primary membranous nephropathy, IgA nephropathy and lupus nephritis, particular glycome characteristics can enhance in situ complement activation and the recruitment of innate immune cells, resulting in more severe kidney damage. Hypofucosylation, hypogalactosylation and hyposialylation are the most common IgG glycosylation traits identified in these diseases. Modulating IgG glycosylation could therefore be a promising therapeutic strategy for regulating the immune mechanisms that underlie IgG-driven kidney diseases and potentially reduce the burden of immunosuppressive drugs in affected patients.
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Affiliation(s)
- Anaïs Beyze
- Institute of Regenerative Medicine and Biotherapy, IRMB U1183, Montpellier, France.
- Department of Nephrology, Dialysis and Transplantation, Montpellier University Hospital, Montpellier, France.
- University of Montpellier, Montpellier, France.
| | - Christian Larroque
- Institute of Regenerative Medicine and Biotherapy, IRMB U1183, Montpellier, France
- Department of Nephrology, Dialysis and Transplantation, Montpellier University Hospital, Montpellier, France
- University of Montpellier, Montpellier, France
| | - Moglie Le Quintrec
- Institute of Regenerative Medicine and Biotherapy, IRMB U1183, Montpellier, France.
- Department of Nephrology, Dialysis and Transplantation, Montpellier University Hospital, Montpellier, France.
- University of Montpellier, Montpellier, France.
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3
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Wang Y, Liu Y, Liu S, Cheng L, Liu X. Recent advances in N-glycan biomarker discovery among human diseases. Acta Biochim Biophys Sin (Shanghai) 2024; 56:1156-1171. [PMID: 38910518 DOI: 10.3724/abbs.2024101] [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] [Indexed: 06/25/2024] Open
Abstract
N-glycans play important roles in a variety of biological processes. In recent years, analytical technologies with high resolution and sensitivity have advanced exponentially, enabling analysts to investigate N-glycomic changes in different states. Specific glycan and glycosylation signatures have been identified in multiple diseases, including cancer, autoimmune diseases, nervous system disorders, and metabolic and cardiovascular diseases. These glycans demonstrate comparable or superior indicating capability in disease diagnosis and prognosis over routine biomarkers. Moreover, synchronous glycan alterations concurrent with disease initiation and progression provide novel insights into pathogenetic mechanisms and potential treatment targets. This review elucidates the biological significance of N-glycans, compares the existing glycomic technologies, and delineates the clinical performance of N-glycans across a range of diseases.
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Affiliation(s)
- Yi Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuanyuan Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Si Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Liming Cheng
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xin Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
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4
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Damelang T, Brinkhaus M, van Osch TLJ, Schuurman J, Labrijn AF, Rispens T, Vidarsson G. Impact of structural modifications of IgG antibodies on effector functions. Front Immunol 2024; 14:1304365. [PMID: 38259472 PMCID: PMC10800522 DOI: 10.3389/fimmu.2023.1304365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/11/2023] [Indexed: 01/24/2024] Open
Abstract
Immunoglobulin G (IgG) antibodies are a critical component of the adaptive immune system, binding to and neutralizing pathogens and other foreign substances. Recent advances in molecular antibody biology and structural protein engineering enabled the modification of IgG antibodies to enhance their therapeutic potential. This review summarizes recent progress in both natural and engineered structural modifications of IgG antibodies, including allotypic variation, glycosylation, Fc engineering, and Fc gamma receptor binding optimization. We discuss the functional consequences of these modifications to highlight their potential for therapeutical applications.
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Affiliation(s)
- Timon Damelang
- Sanquin Research, Department of Experimental Immunohematology and Landsteiner Laboratory, Amsterdam, Netherlands
- Sanquin Research, Department of Immunopathology, Amsterdam, Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, Netherlands
- Department of Antibody Research & Technologies’, Genmab, Utrecht, Netherlands
| | - Maximilian Brinkhaus
- Sanquin Research, Department of Experimental Immunohematology and Landsteiner Laboratory, Amsterdam, Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, Netherlands
| | - Thijs L. J. van Osch
- Sanquin Research, Department of Experimental Immunohematology and Landsteiner Laboratory, Amsterdam, Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, Netherlands
| | - Janine Schuurman
- Department of Antibody Research & Technologies’, Genmab, Utrecht, Netherlands
| | - Aran F. Labrijn
- Department of Antibody Research & Technologies’, Genmab, Utrecht, Netherlands
| | - Theo Rispens
- Sanquin Research, Department of Immunopathology, Amsterdam, Netherlands
| | - Gestur Vidarsson
- Sanquin Research, Department of Experimental Immunohematology and Landsteiner Laboratory, Amsterdam, Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, Netherlands
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5
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Frkatović-Hodžić A, Mijakovac A, Miškec K, Nostaeva A, Sharapov SZ, Landini A, Haller T, van den Akker E, Sharma S, Cuadrat RRC, Mangino M, Li Y, Keser T, Rudman N, Štambuk T, Pučić-Baković M, Trbojević-Akmačić I, Gudelj I, Štambuk J, Pribić T, Radovani B, Tominac P, Fischer K, Beekman M, Wuhrer M, Gieger C, Schulze MB, Wittenbecher C, Polasek O, Hayward C, Wilson JF, Spector TD, Köttgen A, Vučković F, Aulchenko YS, Vojta A, Krištić J, Klarić L, Zoldoš V, Lauc G. Mapping of the gene network that regulates glycan clock of ageing. Aging (Albany NY) 2023; 15:14509-14552. [PMID: 38149987 PMCID: PMC10781487 DOI: 10.18632/aging.205106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 09/06/2023] [Indexed: 12/28/2023]
Abstract
Glycans are an essential structural component of immunoglobulin G (IgG) that modulate its structure and function. However, regulatory mechanisms behind this complex posttranslational modification are not well known. Previous genome-wide association studies (GWAS) identified 29 genomic regions involved in regulation of IgG glycosylation, but only a few were functionally validated. One of the key functional features of IgG glycosylation is the addition of galactose (galactosylation), a trait which was shown to be associated with ageing. We performed GWAS of IgG galactosylation (N=13,705) and identified 16 significantly associated loci, indicating that IgG galactosylation is regulated by a complex network of genes that extends beyond the galactosyltransferase enzyme that adds galactose to IgG glycans. Gene prioritization identified 37 candidate genes. Using a recently developed CRISPR/dCas9 system we manipulated gene expression of candidate genes in the in vitro IgG expression system. Upregulation of three genes, EEF1A1, MANBA and TNFRSF13B, changed the IgG glycome composition, which confirmed that these three genes are involved in IgG galactosylation in this in vitro expression system.
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Affiliation(s)
| | - Anika Mijakovac
- Department of Biology, Division of Molecular Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Karlo Miškec
- Department of Biology, Division of Molecular Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Arina Nostaeva
- Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Novosibirsk, Russia
| | - Sodbo Z. Sharapov
- MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
| | - Arianna Landini
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Toomas Haller
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Erik van den Akker
- Department of Biomedical Data Sciences, Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, The Netherlands
| | - Sapna Sharma
- Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Rafael R. C. Cuadrat
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München –Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
- NIHR Biomedical Research Centre at Guy’s and St Thomas’ Foundation Trust, London, UK
| | - Yong Li
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Toma Keser
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Najda Rudman
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | | | | | | | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
| | - Jerko Štambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Tea Pribić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Barbara Radovani
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
| | - Petra Tominac
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Krista Fischer
- Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
| | - Marian Beekman
- Department of Biomedical Data Sciences, Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München –Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Matthias B. Schulze
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- SciLifeLab, Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Ozren Polasek
- University of Split School of Medicine, Split, Croatia
- Algebra University College, Zagreb, Croatia
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | | | - Yurii S. Aulchenko
- MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
- Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
| | - Aleksandar Vojta
- Department of Biology, Division of Molecular Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | | | - Lucija Klarić
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Vlatka Zoldoš
- Department of Biology, Division of Molecular Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
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Memarian E, Heijmans R, Slieker RC, Sierra A, Gornik O, Beulens JWJ, Hanic M, Elders P, Pascual J, Sijbrands E, Lauc G, Dotz V, Barrios C, 't Hart LM, Wuhrer M, van Hoek M. IgG N-glycans are associated with prevalent and incident complications of type 2 diabetes. Diabetes Metab Res Rev 2023; 39:e3685. [PMID: 37422864 DOI: 10.1002/dmrr.3685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 02/19/2023] [Accepted: 04/19/2023] [Indexed: 07/11/2023]
Abstract
AIMS/HYPOTHESIS Inflammation is important in the development of type 2 diabetes complications. The N-glycosylation of IgG influences its role in inflammation. To date, the association of plasma IgG N-glycosylation with type 2 diabetes complications has not been extensively investigated. We hypothesised that N-glycosylation of IgG may be related to the development of complications of type 2 diabetes. METHODS In three independent type 2 diabetes cohorts, plasma IgG N-glycosylation was measured using ultra performance liquid chromatography (DiaGene n = 1815, GenodiabMar n = 640) and mass spectrometry (Hoorn Diabetes Care Study n = 1266). We investigated the associations of IgG N-glycosylation (fucosylation, galactosylation, sialylation and bisection) with incident and prevalent nephropathy, retinopathy and macrovascular disease using Cox- and logistic regression, followed by meta-analyses. The models were adjusted for age and sex and additionally for clinical risk factors. RESULTS IgG galactosylation was negatively associated with prevalent and incident nephropathy and macrovascular disease after adjustment for clinical risk factors. Sialylation was negatively associated with incident diabetic nephropathy after adjustment for clinical risk factors. For incident retinopathy, similar associations were found for galactosylation, adjusted for age and sex. CONCLUSIONS We showed that IgG N-glycosylation, particularly galactosylation and to a lesser extent sialylation, is associated with a higher prevalence and future development of macro- and microvascular complications of diabetes. These findings indicate the predictive potential of IgG N-glycosylation in diabetes complications and should be analysed further in additional large cohorts to obtain the power to solidify these conclusions.
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Affiliation(s)
- Elham Memarian
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Ralph Heijmans
- Department of Internal Medicine, Erasmus MC - University Medical Center, Rotterdam, The Netherlands
| | - Roderick C Slieker
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Location VUMC, Amsterdam Public Health Institute, Amsterdam, The Netherlands
| | - Adriana Sierra
- Department of Nephrology, Hospital del Mar, Institut Mar d´Investigacions Mediques, Barcelona, Spain
| | - Olga Gornik
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Joline W J Beulens
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Location VUMC, Amsterdam Public Health Institute, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maja Hanic
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Petra Elders
- Department of General Practice, Amsterdam Public Health Institute, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Julio Pascual
- Department of Nephrology, Hospital del Mar, Institut Mar d´Investigacions Mediques, Barcelona, Spain
| | - Eric Sijbrands
- Department of Internal Medicine, Erasmus MC - University Medical Center, Rotterdam, The Netherlands
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Viktoria Dotz
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Clara Barrios
- Department of Nephrology, Hospital del Mar, Institut Mar d´Investigacions Mediques, Barcelona, Spain
| | - Leen M 't Hart
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Location VUMC, Amsterdam Public Health Institute, Amsterdam, The Netherlands
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Mandy van Hoek
- Department of Internal Medicine, Erasmus MC - University Medical Center, Rotterdam, The Netherlands
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7
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Hagenbeek FA, Hirzinger JS, Breunig S, Bruins S, Kuznetsov DV, Schut K, Odintsova VV, Boomsma DI. Maximizing the value of twin studies in health and behaviour. Nat Hum Behav 2023:10.1038/s41562-023-01609-6. [PMID: 37188734 DOI: 10.1038/s41562-023-01609-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 04/19/2023] [Indexed: 05/17/2023]
Abstract
In the classical twin design, researchers compare trait resemblance in cohorts of identical and non-identical twins to understand how genetic and environmental factors correlate with resemblance in behaviour and other phenotypes. The twin design is also a valuable tool for studying causality, intergenerational transmission, and gene-environment correlation and interaction. Here we review recent developments in twin studies, recent results from twin studies of new phenotypes and recent insights into twinning. We ask whether the results of existing twin studies are representative of the general population and of global diversity, and we conclude that stronger efforts to increase representativeness are needed. We provide an updated overview of twin concordance and discordance for major diseases and mental disorders, which conveys a crucial message: genetic influences are not as deterministic as many believe. This has important implications for public understanding of genetic risk prediction tools, as the accuracy of genetic predictions can never exceed identical twin concordance rates.
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Affiliation(s)
- Fiona A Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
| | - Jana S Hirzinger
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Sophie Breunig
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Psychology & Neuroscience, University of Colorado Boulder, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Susanne Bruins
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Dmitry V Kuznetsov
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Faculty of Sociology, Bielefeld University, Bielefeld, Germany
| | - Kirsten Schut
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Nightingale Health Plc, Helsinki, Finland
| | - Veronika V Odintsova
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Reproduction & Development (AR&D) Research Institute, Amsterdam, the Netherlands
- Department of Psychiatry, University Medical Center of Groningen, University of Groningen, Groningen, the Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
- Amsterdam Reproduction & Development (AR&D) Research Institute, Amsterdam, the Netherlands.
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8
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Tudor L, Nedic Erjavec G, Nikolac Perkovic M, Konjevod M, Uzun S, Kozumplik O, Mimica N, Lauc G, Svob Strac D, Pivac N. The Association of the Polymorphisms in the FUT8-Related Locus with the Plasma Glycosylation in Post-Traumatic Stress Disorder. Int J Mol Sci 2023; 24:ijms24065706. [PMID: 36982780 PMCID: PMC10056189 DOI: 10.3390/ijms24065706] [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: 01/30/2023] [Revised: 03/04/2023] [Accepted: 03/11/2023] [Indexed: 03/19/2023] Open
Abstract
The molecular underpinnings of post-traumatic stress disorder (PTSD) are still unclear due to the complex interactions of genetic, psychological, and environmental factors. Glycosylation is a common post-translational modification of proteins, and different pathophysiological states, such as inflammation, autoimmune diseases, and mental disorders including PTSD, show altered N-glycome. Fucosyltransferase 8 (FUT8) is the enzyme that catalyzes the addition of core fucose on glycoproteins, and mutations in the FUT8 gene are associated with defects in glycosylation and functional abnormalities. This is the first study that investigated the associations of plasma N-glycan levels with FUT8-related rs6573604, rs11621121, rs10483776, and rs4073416 polymorphisms and their haplotypes in 541 PTSD patients and control participants. The results demonstrated that the rs6573604 T allele was more frequent in the PTSD than in the control participants. Significant associations of plasma N-glycan levels with PTSD and FUT8-related polymorphisms were observed. We also detected associations of rs11621121 and rs10483776 polymorphisms and their haplotypes with plasma levels of specific N-glycan species in both the control and PTSD groups. In carriers of different rs6573604 and rs4073416 genotypes and alleles, differences in plasma N-glycan levels were only found in the control group. These molecular findings suggest a possible regulatory role of FUT8-related polymorphisms in glycosylation, the alternations of which could partially explain the development and clinical manifestation of PTSD.
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Affiliation(s)
- Lucija Tudor
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
| | - Gordana Nedic Erjavec
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
| | - Matea Nikolac Perkovic
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
| | - Marcela Konjevod
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
| | - Suzana Uzun
- Department for Biological Psychiatry and Psychogeriatrics, University Hospital Vrapce, 10000 Zagreb, Croatia; (S.U.); (O.K.); (N.M.)
- School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
- Faculty of Education and Rehabilitation Sciences, University of Zagreb, 10000 Zagreb, Croatia
| | - Oliver Kozumplik
- Department for Biological Psychiatry and Psychogeriatrics, University Hospital Vrapce, 10000 Zagreb, Croatia; (S.U.); (O.K.); (N.M.)
- Faculty of Education and Rehabilitation Sciences, University of Zagreb, 10000 Zagreb, Croatia
| | - Ninoslav Mimica
- Department for Biological Psychiatry and Psychogeriatrics, University Hospital Vrapce, 10000 Zagreb, Croatia; (S.U.); (O.K.); (N.M.)
- School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Gordan Lauc
- Glycobiology Laboratory, Genos Ltd., 10000 Zagreb, Croatia;
| | - Dubravka Svob Strac
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
- Correspondence: (D.S.S.); (N.P.)
| | - Nela Pivac
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
- University of Applied Sciences Hrvatsko Zagorje Krapina, 49000 Krapina, Croatia
- Correspondence: (D.S.S.); (N.P.)
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9
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Mijakovac A, Frkatović A, Hanić M, Ivok J, Martinić Kavur M, Pučić-Baković M, Spector T, Zoldoš V, Mangino M, Lauc G. Heritability of the glycan clock of biological age. Front Cell Dev Biol 2022; 10:982609. [PMID: 36619858 PMCID: PMC9815111 DOI: 10.3389/fcell.2022.982609] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/24/2022] [Indexed: 12/24/2022] Open
Abstract
Immunoglobulin G is posttranslationally modified by the addition of complex N-glycans affecting its function and mediating inflammation at multiple levels. IgG glycome composition changes with age and health in a predictive pattern, presumably due to inflammaging. As a result, a novel biological aging biomarker, glycan clock of age, was developed. Glycan clock of age is the first of biological aging clocks for which multiple studies showed a possibility of clock reversal even with simple lifestyle interventions. However, none of the previous studies determined to which extent the glycan clock can be turned, and how much is fixed by genetic predisposition. To determine the contribution of genetic and environmental factors to phenotypic variation of the glycan clock, we performed heritability analysis on two TwinsUK female cohorts. IgG glycans from monozygotic and dizygotic twin pairs were analyzed by UHPLC and glycan age was calculated using the glycan clock. In order to determine additive genetic, shared, and unique environmental contributions, a classical twin design was applied. Heritability of the glycan clock was calculated for participants of one cross-sectional and one longitudinal cohort with three time points to assess the reliability of measurements. Heritability estimate for the glycan clock was 39% on average, suggesting a moderate contribution of additive genetic factors (A) to glycan clock variation. Remarkably, heritability estimates remained approximately the same in all time points of the longitudinal study, even though IgG glycome composition changed substantially. Most environmental contributions came from shared environmental factors (C), with unique environmental factors (E) having a minor role. Interestingly, heritability estimates nearly doubled, to an average of 71%, when we included age as a covariant. This intervention also inflated the estimates of unique environmental factors contributing to glycan clock variation. A complex interplay between genetic and environmental factors defines alternative IgG glycosylation during aging and, consequently, dictates the glycan clock's ticking. Apparently, environmental factors (including lifestyle choices) have a strong impact on the biological age measured with the glycan clock, which additionally clarifies why this aging clock is one of the most potent biomarkers of biological aging.
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Affiliation(s)
- Anika Mijakovac
- Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | | | - Maja Hanić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Jelena Ivok
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | | | | | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Vlatka Zoldoš
- Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom,NIHR Biomedical Research Centre at Guy’s and St Thoma’s Foundation Trust, London, United Kingdom
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia,Department of Biochemistry and Molecular Biology, Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia,*Correspondence: Gordan Lauc,
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10
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Trbojević-Akmačić I, Lageveen-Kammeijer GSM, Heijs B, Petrović T, Deriš H, Wuhrer M, Lauc G. High-Throughput Glycomic Methods. Chem Rev 2022; 122:15865-15913. [PMID: 35797639 PMCID: PMC9614987 DOI: 10.1021/acs.chemrev.1c01031] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Glycomics aims to identify the structure and function of the glycome, the complete set of oligosaccharides (glycans), produced in a given cell or organism, as well as to identify genes and other factors that govern glycosylation. This challenging endeavor requires highly robust, sensitive, and potentially automatable analytical technologies for the analysis of hundreds or thousands of glycomes in a timely manner (termed high-throughput glycomics). This review provides a historic overview as well as highlights recent developments and challenges of glycomic profiling by the most prominent high-throughput glycomic approaches, with N-glycosylation analysis as the focal point. It describes the current state-of-the-art regarding levels of characterization and most widely used technologies, selected applications of high-throughput glycomics in deciphering glycosylation process in healthy and disease states, as well as future perspectives.
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Affiliation(s)
| | | | - Bram Heijs
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Tea Petrović
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
| | - Helena Deriš
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
| | - Manfred Wuhrer
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Gordan Lauc
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
- Faculty
of Pharmacy and Biochemistry, University
of Zagreb, A. Kovačića 1, 10 000 Zagreb, Croatia
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11
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Krištić J, Lauc G, Pezer M. Immunoglobulin G glycans - Biomarkers and molecular effectors of aging. Clin Chim Acta 2022; 535:30-45. [PMID: 35970404 DOI: 10.1016/j.cca.2022.08.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/04/2022] [Accepted: 08/04/2022] [Indexed: 11/28/2022]
Abstract
Immunoglobulin G (IgG) antibodies are post-translationally modified by the addition of complex carbohydrate molecules - glycans, which have profound effects on the IgG function, most significantly as modulators of its inflammatory capacity. Therefore, it is not surprising that the changes in IgG glycosylation pattern are associated with various physiological states and diseases, including aging and age-related diseases. Importantly, within the inflammaging concept, IgG glycans are considered not only biomarkers but one of the molecular effectors of the aging process. The exact mechanism by which they exert their function, however, remains unknown. In this review, we list and comment on, to our knowledge, all studies that examined changes in IgG glycosylation during aging in humans. We focus on the information obtained from studies on general population, but we also cover the insights obtained from studies of long-lived individuals and people with age-related diseases. We summarize the current knowledge on how levels of different IgG glycans change with age (i.e., the extent and direction of the change with age) and discuss the potential mechanisms and possible functional roles of changes in IgG glycopattern that accompany aging.
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Affiliation(s)
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia; Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Marija Pezer
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.
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12
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Sénard T, Flouri I, Vučković F, Papadaki G, Goutakoli P, Banos A, Pučić-Baković M, Pezer M, Bertsias G, Lauc G, Sidiropoulos P. Baseline IgG-Fc N-glycosylation profile is associated with long-term outcome in a cohort of early inflammatory arthritis patients. Arthritis Res Ther 2022; 24:206. [PMID: 36008868 PMCID: PMC9404591 DOI: 10.1186/s13075-022-02897-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 07/24/2022] [Indexed: 12/28/2022] Open
Abstract
Background Rheumatoid arthritis (RA) is a chronic autoimmune disease for which prediction of long-term prognosis from disease’s outset is not clinically feasible. The importance of immunoglobulin G (IgG) and its Fc N-glycosylation in inflammation is well-known and studies described its relevance for several autoimmune diseases, including RA. Herein we assessed the association between IgG N-glycoforms and disease prognosis at 2 years in an early inflammatory arthritis cohort. Methods Sera from 118 patients with early inflammatory arthritis naïve to treatment sampled at baseline were used to obtain IgG Fc glycopeptides, which were then analyzed in a subclass-specific manner by liquid chromatography coupled to mass spectrometry (LC-MS). Patients were prospectively followed and a favorable prognosis at 2 years was assessed by a combined index as remission or low disease activity (DAS28 < 3.2) and normal functionality (HAQ ≤ 0.25) while on treatment with conventional synthetic DMARDs and never used biologic DMARDs. Results We observed a significant association between high levels of IgG2/3 Fc galactosylation (effect 0.627 and adjusted p value 0.036 for the fully galactosylated glycoform H5N4F1; effect −0.551 and adjusted p value 0.04963 for the agalactosylated H3N4F1) and favorable outcome after 2 years of treatment. The inclusion of IgG glycoprofiling in a multivariate analysis to predict the outcome (with HAQ, DAS28, RF, and ACPA included in the model) did not improve the prognostic performance of the model. Conclusion Pending confirmation of these findings in larger cohorts, IgG glycosylation levels could be used as a prognostic marker in early arthritis, to overcome the limitations of the current prognostic tools. Supplementary Information The online version contains supplementary material available at 10.1186/s13075-022-02897-5.
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Affiliation(s)
- Thomas Sénard
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | - Irini Flouri
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003, Heraklion, Greece
| | | | - Garyfalia Papadaki
- Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71305, Heraklion, Greece
| | - Panagiota Goutakoli
- Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71305, Heraklion, Greece
| | - Aggelos Banos
- Laboratory of Inflammation and Autoimmunity, Biomedical Research Foundation of the Academy of Athens, 11527, Athens, Greece
| | | | - Marija Pezer
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - George Bertsias
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003, Heraklion, Greece.,Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71305, Heraklion, Greece
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia. .,Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia.
| | - Prodromos Sidiropoulos
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003, Heraklion, Greece.,Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71305, Heraklion, Greece
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13
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Deriš H, Kifer D, Cindrić A, Petrović T, Cvetko A, Trbojević-Akmačić I, Kolčić I, Polašek O, Newson L, Spector T, Menni C, Lauc G. Immunoglobulin G glycome composition in transition from premenopause to postmenopause. iScience 2022; 25:103897. [PMID: 35243255 PMCID: PMC8881712 DOI: 10.1016/j.isci.2022.103897] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 01/18/2022] [Accepted: 02/07/2022] [Indexed: 11/21/2022] Open
Abstract
Gonadal hormones affect immunoglobulin G (IgG) glycosylation, and the more proinflammatory IgG glycome composition might be one of the molecular mechanisms behind the increased proinflammatory phenotype in perimenopause. Using ultra-high-performance liquid chromatography, we analyzed IgG glycome composition in 5,080 samples from 1940 pre-, peri-, and postmenopausal women. Statistically significant decrease in galactosylation and sialylation was observed in postmenopausal women. Furthermore, during the transition from pre- to postmenopausal period, the rate of increase in agalactosylated structures (0.051/yr; 95%CI = 0.043-0.059, p < 0.001) and decrease in digalactosylated (-0.043/yr; 95%CI = -0.050 to -0.037, p < 0.001) and monosialylated glycans (-0.029/yr; 95%CI = -0.034 to -0.024, p < 0.001) were significantly higher than in either pre- or postmenopausal periods. The conversion to the more proinflammatory IgG glycome and the resulting decrease in the ability of IgG to suppress low-grade chronic inflammation may be an important molecular mechanism mediating the increased health risk in perimenopause and postmenopause.
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Affiliation(s)
- Helena Deriš
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
| | - Domagoj Kifer
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb 10000, Croatia
| | - Ana Cindrić
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
| | - Tea Petrović
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
| | - Ana Cvetko
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb 10000, Croatia
| | | | - Ivana Kolčić
- University of Split School of Medicine, Split 21000, Croatia
- Algebra University College, Zagreb 10000, Croatia
| | - Ozren Polašek
- University of Split School of Medicine, Split 21000, Croatia
- Algebra University College, Zagreb 10000, Croatia
| | - Louise Newson
- Newson Health Menopause & Wellbeing Centre, Church Street, Stratford-Upon-Avon CV37 6HB, UK
| | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, Westminster Bridge Road, SE17EH London, UK
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King’s College London, Westminster Bridge Road, SE17EH London, UK
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb 10000, Croatia
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14
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Kifer D, Louca P, Cvetko A, Deriš H, Cindrić A, Grallert H, Peters A, Polašek O, Gornik O, Mangino M, Spector TD, Valdes AM, Padmanabhan S, Gieger C, Lauc G, Menni C. N-glycosylation of immunoglobulin G predicts incident hypertension. J Hypertens 2021; 39:2527-2533. [PMID: 34285147 PMCID: PMC7611954 DOI: 10.1097/hjh.0000000000002963] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Glycosylation of immunoglobulin G (IgG) is an important regulator of the immune system and has been implicated in prevalent hypertension. The aim of this study is to investigate whether the IgG glycome begins to change prior to hypertension diagnosis by analysing the IgG glycome composition in a large population-based female cohort with two independent replication samples. METHODS We included 989 unrelated cases with incident hypertension and 1628 controls from the TwinsUK cohort (mean follow-up time of 6.3 years) with IgG measured at baseline by ultra-performance liquid chromatography and longitudinal BP measurement available. We replicated our findings in 106 individuals from the 10 001 Dalmatians and 729 from KORA S4. Cox regression mixed models were applied to identify changes in glycan traits preincident hypertension, after adjusting for age, mean arterial pressure, BMI, family relatedness and multiple testing (FDR < 0.1). Significant IgG-incident hypertension associations were replicated in the two independent cohorts by leveraging Cox regression mixed models in the 10 001 Dalmatians and logistic regression models in the KORA cohort. RESULTS We identified and replicated four glycan traits, incidence of bisecting GlcNAc, GP4, GP9 and GP21, that are predictive of incident hypertension after adjusting for confoundes and multiple testing [hazard ratio (95% CI) ranging from 0.45 (0.24-0.84) for GP21 to 2.9 (1.5-5.68) for GP4]. We then linearly combined the four replicated glycans and found that the glycan score correlated with incident hypertension, SBP and DBP. CONCLUSION Our results suggest that the IgG glycome changes prior to the development of hypertension.
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Affiliation(s)
- Domagoj Kifer
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Panayiotis Louca
- Department of Twin Research, Kings College London, London, England, United Kingdom
| | - Ana Cvetko
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Helena Deriš
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Ana Cindrić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- LMU Munich, IBE-Chair of Epidemiology, 85764 Neuherberg, Germany
| | - Ozren Polašek
- Department of Public Health, University of Split, School of Medicine, Split, Croatia
| | - Olga Gornik
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Massimo Mangino
- Department of Twin Research, Kings College London, London, England, United Kingdom
- NIHR Biomedical Research Centre at Guy’s and St Thomas’ Foundation Trust, London SE1 9RT, UK
| | - Tim D Spector
- Department of Twin Research, Kings College London, London, England, United Kingdom
| | - Ana M Valdes
- Department of Twin Research, Kings College London, London, England, United Kingdom
- Academic Rheumatology Clinical Sciences Building, Nottingham City Hospital, University of Nottingham, United Kingdom
| | | | - Christian Gieger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Gordan Lauc
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Cristina Menni
- Department of Twin Research, Kings College London, London, England, United Kingdom
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15
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Klasić M, Zoldoš V. Epigenetics of Immunoglobulin G Glycosylation. EXPERIENTIA SUPPLEMENTUM (2012) 2021; 112:289-301. [PMID: 34687014 DOI: 10.1007/978-3-030-76912-3_9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Alternative glycosylation of immunoglobulin G (IgG) affects its effector functions during the immune response. IgG glycosylation is altered in many diseases, but also during a healthy life of an individual. Currently, there is limited knowledge of factors that alter IgG glycosylation in the healthy state and factors involved in specific IgG glycosylation patterns associated with pathophysiology. Genetic background plays an important role, but epigenetic mechanisms also contribute to the alteration of IgG glycosylation patterns in healthy life and in disease. It is known that the expression of many glycosyltransferases is regulated by DNA methylation and by microRNA (miRNA) molecules, but the involvement of other epigenetic mechanisms, such as histone modifications, in the regulation of glycosylation-related genes (glycogenes) is still poorly understood. Recent studies have identified several differentially methylated loci associated with IgG glycosylation, but the mechanisms involved in the formation of specific IgG glycosylation patterns remain poorly understood.
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Affiliation(s)
- Marija Klasić
- Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Vlatka Zoldoš
- Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia.
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16
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Russell A, Wang W. The Rapidly Expanding Nexus of Immunoglobulin G N-Glycomics, Suboptimal Health Status, and Precision Medicine. EXPERIENTIA. SUPPLEMENTUM 2021; 112:545-564. [PMID: 34687022 DOI: 10.1007/978-3-030-76912-3_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
Immunoglobulin G is a prevalent glycoprotein, whose downstream immune responses are partially mediated by the N-glycans within the fragment crystallisable domain. Collectively termed the N-glycome, it is considered a complex intermediate phenotype: an amalgamation of genetic predisposition, environmental exposure, and health behaviours over the life-course. Thus, the immunoglobulin G N-glycome may provide an indication of health status on the spectrum from health to disease and infirmary. Although variability exists within and between populations, composition of the immunoglobulin G N-glycome remains stable over short periods of time. This underscores the potential of harnessing the immunoglobulin G N-glycome as an ideal tool for preclinical disease risk prediction, stratification, and prognosis through the development of precise dynamic biomarkers.
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Affiliation(s)
- Alyce Russell
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Wei Wang
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia.
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.
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17
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Damelang T, Aitken EH, Hasang W, Lopez E, Killian M, Unger HW, Salanti A, Shub A, McCarthy E, Kedzierska K, Lappas M, Kent SJ, Rogerson SJ, Chung AW. Antibody mediated activation of natural killer cells in malaria exposed pregnant women. Sci Rep 2021; 11:4130. [PMID: 33602987 PMCID: PMC7893158 DOI: 10.1038/s41598-021-83093-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 01/25/2021] [Indexed: 12/21/2022] Open
Abstract
Immune effector responses against Plasmodium falciparum include antibody-mediated activation of innate immune cells, which can induce Fc effector functions, including antibody-dependent cellular cytotoxicity, and the secretion of cytokines and chemokines. These effector functions are regulated by the composition of immunoglobulin G (IgG) Fc N-linked glycans. However, a role for antibody-mediated natural killer (NK) cells activation or Fc N-linked glycans in pregnant women with malaria has not yet been established. Herein, we studied the capacity of IgG antibodies from pregnant women, with placental malaria or non-placental malaria, to induce NK cell activation in response to placental malaria-associated antigens DBL2 and DBL3. Antibody-mediated NK cell activation was observed in pregnant women with malaria, but no differences were associated with susceptibility to placental malaria. Elevated anti-inflammatory glycosylation patterns of IgG antibodies were observed in pregnant women with or without malaria infection, which were not seen in healthy non-pregnant controls. This suggests that pregnancy-associated anti-inflammatory Fc N-linked glycans may dampen the antibody-mediated activation of NK cells in pregnant women with malaria infection. Overall, although anti-inflammatory glycans and antibody-dependent NK cell activation were detected in pregnant women with malaria, a definitive role for these antibody features in protecting against placental malaria remains to be proven.
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Affiliation(s)
- Timon Damelang
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Elizabeth H Aitken
- Department of Medicine, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Wina Hasang
- Department of Medicine, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Ester Lopez
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Martin Killian
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
- Department of Internal Medicine, Centre Hospitalier Universitaire de Saint-Etienne, Saint-Etienne, France
- Groupe sur l'Immunité des Muqueuses et Agents Pathogènes, Université Jean Monnet Saint-Etienne, Saint-Etienne, France
| | - Holger W Unger
- Liverpool School of Tropical Medicine, Liverpool, UK
- Department of Obstetrics and Gynaecology, Royal Darwin Hospital, Darwin, NT, Australia
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | - Ali Salanti
- Department for Immunology and Microbiology, Centre for Medical Parasitology, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Disease, Copenhagen University Hospital, Copenhagen, Denmark
| | - Alexis Shub
- Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, VIC, Australia
| | - Elizabeth McCarthy
- Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, VIC, Australia
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Martha Lappas
- Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, VIC, Australia
| | - Stephen J Kent
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
- Infectious Diseases Department, Alfred Health, Melbourne Sexual Health Centre, Monash University, Melbourne, VIC, Australia
| | - Stephen J Rogerson
- Department of Medicine, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Amy W Chung
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.
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18
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Zhang X, Yuan H, Lyu J, Meng X, Tian Q, Li Y, Zhang J, Xu X, Su J, Hou H, Li D, Sun B, Wang W, Wang Y. Association of dementia with immunoglobulin G N-glycans in a Chinese Han Population. NPJ Aging Mech Dis 2021; 7:3. [PMID: 33542243 PMCID: PMC7862610 DOI: 10.1038/s41514-021-00055-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 01/06/2021] [Indexed: 12/24/2022] Open
Abstract
Immunoglobulin G (IgG) functionality can drastically change from anti- to proinflammatory by alterations in the IgG N-glycan patterns. Our previous studies have demonstrated that IgG N-glycans associated with the risk factors of dementia, such as aging, dyslipidemia, type 2 diabetes mellitus, hypertension, and ischemic stroke. Therefore, the aim is to investigate whether the effects of IgG N-glycan profiles on dementia exists in a Chinese Han population. A case–control study, including 81 patients with dementia, 81 age- and gender-matched controls with normal cognitive functioning (NC) and 108 non-matched controls with mild cognitive impairment (MCI) was performed. Plasma IgG N-glycans were separated by ultra-performance liquid chromatography. Fourteen glycan peaks reflecting decreased of sialylation and core fucosylation, and increased bisecting N-acetylglucosamine (GlcNAc) N-glycan structures were of statistically significant differences between dementia and NC groups after controlling for confounders (p < 0.05; q < 0.05). Similarly, the differences for these 14 initial glycans were statistically significant between AD and NC groups after adjusting for the effects of confounders (p < 0.05; q < 0.05). The area under the receiver operating curve (AUC) value of the model consisting of GP8, GP9, and GP14 was determined to distinguish dementia from NC group as 0.876 [95% confidence interval (CI): 0.815–0.923] and distinguish AD from NC group as 0.887 (95% CI: 0.819–0.936). Patients with dementia were of an elevated proinflammatory activity via the significant changes of IgG glycome. Therefore, IgG N-glycans might contribute to be potential novel biomarkers for the neurodegenerative process risk assessment of dementia.
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Affiliation(s)
- Xiaoyu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China.,Department of Anesthesiology, Sanbo Brain Hospital, Capital Medical University, Beijing, 100095, China
| | - Hui Yuan
- Department of Neurology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, 271000, China
| | - Jihui Lyu
- Center for Cognitive Disorders, Beijing Geriatric Hospital, Beijing, 100095, China
| | - Xiaoni Meng
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Qiuyue Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Yuejin Li
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, 271000, China
| | - Jie Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China
| | - Xizhu Xu
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, 271000, China
| | - Jing Su
- Department of Geriatrics, Tai'an City Central Hospital, Tai'an, 271000, China
| | - Haifeng Hou
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, 271000, China
| | - Dong Li
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, 271000, China
| | - Baoliang Sun
- Key Lab of Cerebral Microcirculation in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, 271000, China
| | - Wei Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China. .,School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, 271000, China. .,School of Medical and Health Sciences, Edith Cowan University, Perth, WA, 6027, Australia.
| | - Youxin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, 100069, China. .,School of Medical and Health Sciences, Edith Cowan University, Perth, WA, 6027, Australia.
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19
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Habazin S, Štambuk J, Šimunović J, Keser T, Razdorov G, Novokmet M. Mass Spectrometry-Based Methods for Immunoglobulin G N-Glycosylation Analysis. EXPERIENTIA SUPPLEMENTUM (2012) 2021; 112:73-135. [PMID: 34687008 DOI: 10.1007/978-3-030-76912-3_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Mass spectrometry and its hyphenated techniques enabled by the improvements in liquid chromatography, capillary electrophoresis, novel ionization, and fragmentation modes are truly a cornerstone of robust and reliable protein glycosylation analysis. Boost in immunoglobulin G (IgG) glycan and glycopeptide profiling demands for both applied biomedical and research applications has brought many new advances in the field in terms of technical innovations, sample preparation, improved throughput, and confidence in glycan structural characterization. This chapter summarizes mass spectrometry basics, focusing on IgG and monoclonal antibody N-glycosylation analysis on several complexity levels. Different approaches, including antibody enrichment, glycan release, labeling, and glycopeptide preparation and purification, are covered and illustrated with recent breakthroughs and examples from the literature omitting excessive theoretical frameworks. Finally, selected highly popular methodologies in IgG glycoanalytics such as liquid chromatography-mass spectrometry and matrix-assisted laser desorption ionization are discussed more thoroughly yet in simple terms making this text a practical starting point either for the beginner in the field or an experienced clinician trying to make sense out of the IgG glycomic or glycoproteomic dataset.
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Affiliation(s)
- Siniša Habazin
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Jerko Štambuk
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | | | - Toma Keser
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | | | - Mislav Novokmet
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia.
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20
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Abstract
Changes in immunoglobulin G (IgG) glycosylation pattern have been observed in a vast array of auto- and alloimmune, infectious, cardiometabolic, malignant, and other diseases. This chapter contains an updated catalog of over 140 studies within which IgG glycosylation analysis was performed in a disease setting. Since the composition of IgG glycans is known to modulate its effector functions, it is suggested that a changed IgG glycosylation pattern in patients might be involved in disease development and progression, representing a predisposition and/or a functional effector in disease pathology. In contrast to the glycopattern of bulk serum IgG, which likely relates to the systemic inflammatory background, the glycosylation profile of antigen-specific IgG probably plays a direct role in disease pathology in several infectious and allo- and autoimmune antibody-dependent diseases. Depending on the specifics of any given disease, IgG glycosylation read-out might therefore in the future be developed into a useful clinical biomarker or a supplementary to currently used biomarkers.
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Affiliation(s)
- Marija Pezer
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia.
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21
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Frkatovic A, Zaytseva OO, Klaric L. Genetic Regulation of Immunoglobulin G Glycosylation. EXPERIENTIA SUPPLEMENTUM (2012) 2021; 112:259-287. [PMID: 34687013 DOI: 10.1007/978-3-030-76912-3_8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Defining the genetic components that control glycosylation of the human immunoglobulin G (IgG) is an ongoing effort, which has so far been addressed by means of heritability, linkage and genome-wide association studies (GWAS). Unlike the synthesis of proteins, N-glycosylation biosynthesis is not a template-driven process, but rather a complex process regulated by both genetic and environmental factors. Current heritability studies have shown that while up to 75% of the variation in levels of some IgG glycan traits can be explained by genetics, some glycan traits are completely defined by environmental influences. Advances in both high-throughput genotyping and glycan quantification methods have enabled genome-wide association studies that are increasingly used to estimate associations of millions of single-nucleotide polymorphisms and glycosylation traits. Using this method, 18 genomic regions have so far been robustly associated with IgG N-glycosylation, discovering associations with genes encoding glycosyltransferases, but also transcription factors, co-factors, membrane transporters and other genes with no apparent role in IgG glycosylation. Further computational analyses have shown that IgG glycosylation is likely to be regulated through the expression of glycosyltransferases, but have also for the first time suggested which transcription factors are involved in the process. Moreover, it was also shown that IgG glycosylation and inflammatory diseases share common underlying causal genetic variants, suggesting that studying genetic regulation of IgG glycosylation helps not only to better understand this complex process but can also contribute to understanding why glycans are changed in disease. However, further studies are needed to unravel whether changes in IgG glycosylation are causing these diseases or the changes in the glycome are caused by the disease.
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Affiliation(s)
- Azra Frkatovic
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Olga O Zaytseva
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Lucija Klaric
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
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22
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Dall'Olio F, Malagolini N. Immunoglobulin G Glycosylation Changes in Aging and Other Inflammatory Conditions. EXPERIENTIA SUPPLEMENTUM (2012) 2021; 112:303-340. [PMID: 34687015 DOI: 10.1007/978-3-030-76912-3_10] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Among the multiple roles played by protein glycosylation, the fine regulation of biological interactions is one of the most important. The asparagine 297 (Asn297) of IgG heavy chains is decorated by a diantennary glycan bearing a number of galactose and sialic acid residues on the branches ranging from 0 to 2. In addition, the structure can present core-linked fucose and/or a bisecting GlcNAc. In many inflammatory and autoimmune conditions, as well as in metabolic, cardiovascular, infectious, and neoplastic diseases, the IgG Asn297-linked glycan becomes less sialylated and less galactosylated, leading to increased expression of glycans terminating with GlcNAc. These conditions alter also the presence of core-fucose and bisecting GlcNAc. Importantly, similar glycomic alterations are observed in aging. The common condition, shared by the above-mentioned pathological conditions and aging, is a low-grade, chronic, asymptomatic inflammatory state which, in the case of aging, is known as inflammaging. Glycomic alterations associated with inflammatory diseases often precede disease onset and follow remission. The aberrantly glycosylated IgG glycans associated with inflammation and aging can sustain inflammation through different mechanisms, fueling a vicious loop. These include complement activation, Fcγ receptor binding, binding to lectin receptors on antigen-presenting cells, and autoantibody reactivity. The complex molecular bases of the glycomic changes associated with inflammation and aging are still poorly understood.
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Affiliation(s)
- Fabio Dall'Olio
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.
| | - Nadia Malagolini
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
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23
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Abstract
Human lifespan has increased significantly in the last 200 years, emphasizing our need to age healthily. Insights into molecular mechanisms of aging might allow us to slow down its rate or even revert it. Similar to aging, glycosylation is regulated by an intricate interplay of genetic and environmental factors. The dynamics of glycopattern variation during aging has been mostly explored for plasma/serum and immunoglobulin G (IgG) N-glycome, as we describe thoroughly in this chapter. In addition, we discuss the potential functional role of agalactosylated IgG glycans in aging, through modulation of inflammation level, as proposed by the concept of inflammaging. We also comment on the potential to use the plasma/serum and IgG N-glycome as a biomarker of healthy aging and on the interventions that modulate the IgG glycopattern. Finally, we discuss the current knowledge about animal models for human plasma/serum and IgG glycosylation and mention other, less explored, instances of glycopattern changes during organismal aging and cellular senescence.
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24
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Petrović T, Lauc G, Trbojević-Akmačić I. The Importance of Glycosylation in COVID-19 Infection. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1325:239-264. [PMID: 34495539 DOI: 10.1007/978-3-030-70115-4_12] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently one of the major health problems worldwide. SARS-CoV-2 survival and virulence are shown to be impacted by glycans, covalently attached to proteins in a process of glycosylation, making glycans an area of interest in SARS-CoV-2 biology and COVID-19 infection. The SARS-CoV-2 uses its highly glycosylated spike (S) glycoproteins to bind to the cell surface receptor angiotensin-converting enzyme 2 (ACE2) glycoprotein and facilitate host cell entry. Viral glycosylation has wide-ranging roles in viral pathobiology, including mediating protein folding and stability, immune evasion, host receptor attachment, and cell entry. Modification of SARS-CoV-2 envelope membrane with glycans is important in host immune recognition and interaction between S and ACE2 glycoproteins. On the other hand, immunoglobulin G, a key molecule in immune response, shows a distinct glycosylation profile in COVID-19 infection and with increased disease severity. Hence, further studies on the role of glycosylation in SARS-CoV-2 infectivity and COVID-19 infection are needed for its successful prevention and treatment. This chapter focuses on recent findings on the importance of glycosylation in COVID-19 infection.
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Affiliation(s)
- Tea Petrović
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.,Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
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25
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Lim SY, Ng BH, Li SF. Glycans in blood as biomarkers for forensic applications. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.116084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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26
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Jurić J, Kohrt WM, Kifer D, Gavin KM, Pezer M, Nigrovic PA, Lauc G. Effects of estradiol on biological age measured using the glycan age index. Aging (Albany NY) 2020; 12:19756-19765. [PMID: 33049709 PMCID: PMC7732334 DOI: 10.18632/aging.104060] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 08/25/2020] [Indexed: 01/24/2023]
Abstract
Glycan age is a recently developed biomarker based on glycans attached to immunoglobulin G (IgG). In large population cohorts, glycan age associates well with lifestyle and disease-risk biomarkers, while some studies suggested that glycan changes precede development of several age-associated diseases. In this study we evaluated effects of estrogen on the glycan age. Gonadal hormones were suppressed in 36 healthy young women by gonadotropin releasing hormone agonist therapy for 6 months. In 15 of them estradiol was supplemented, while 21 received placebo resulting in very low estrogen levels during intervention. IgG was isolated from plasma samples before intervention, after 6 months of intervention and after subsequent 4-month recovery. Deprivation of gonadal hormones resulted in median increase of glycan age for 9.1 years (IQR 6.8 - 11.5 years, p = 3.73×10-8), which was completely prevented by transdermal estradiol therapy (change in glycan age = -0.23 years, IQR (-2.20 - 2.98). After the recovery period glycan age returned to baseline values in both groups. These results suggest that IgG glycans and consequently also the glycan age are under strong influence of gonadal hormones and that estradiol therapy can prevent the increase of glycan age that occurs in the perimenopausal period.
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Affiliation(s)
- Julija Jurić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Wendy M. Kohrt
- Division of Geriatric Medicine, School of Medicine,
University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Eastern Colorado VA Geriatric Research, Education and
Clinical Center, Aurora, CO 80045, USA
| | - Domagoj Kifer
- Department of Biochemistry and Molecular Biology, Faculty of
Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Kathleen M Gavin
- Division of Geriatric Medicine, School of Medicine,
University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Eastern Colorado VA Geriatric Research, Education and
Clinical Center, Aurora, CO 80045, USA
| | - Marija Pezer
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Peter A. Nigrovic
- Division of Rheumatology, Inflammation, and Immunity, Brigham
and Women´s Hospital, Boston, MA 02115, USA
- Division of Immunology, Boston Children´s Hospital,
Boston, MA 02115, USA
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Department of Biochemistry and Molecular Biology, Faculty of
Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
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27
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N-glycans as functional effectors of genetic and epigenetic disease risk. Mol Aspects Med 2020; 79:100891. [PMID: 32861467 DOI: 10.1016/j.mam.2020.100891] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 06/19/2020] [Accepted: 08/03/2020] [Indexed: 12/15/2022]
Abstract
N-glycosylation is a frequent modification of proteins, essential for all domains of life. N-glycan biosynthesis is a dynamic, complex, non-templated process, wherein specific glycoforms are modulated by various microenvironmental cues, cellular signals and local availability of dedicated enzymes and sugar precursors. This intricate regulatory network comprises hundreds of proteins, whose activity is dependent on both sequence of implicated genes and the regulation of their expression. In this regard, variation in N-glycosylation patterns stems from either gene polymorphisms or from stable epigenetic regulation of gene expression in different individuals. Moreover, epigenome alters in response to various environmental factors, representing a direct link between environmental exposure and changes in gene expression, that are subsequently reflected through altered N-glycosylation. N-glycosylation itself has a fundamental role in numerous biological processes, ranging from protein folding, cellular homeostasis, adhesion and immune regulation, to the effector functions in multiple diseases. Moreover, specific modification of the glycan structure can modulate glycoprotein's biological function or direct the faith of the entire cell, as seen on the examples of antibodies and T cells, respectively. Since immunoglobulin G is one of the most profoundly studied glycoproteins in general, the focus of this review will be on its N-glycosylation changes and their functional implications. By deepening the knowledge on the mechanistic roles that certain glycoforms exert in differential pathological processes, valuable insight into molecular perturbations occurring during disease development could be obtained. The prospect of resolving the exact biological pathways involved offers a potential for the development of new therapeutic interventions and molecular tools that would aid in prognosis, early referral and timely treatment of multiple disease conditions.
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28
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Meng Z, Li C, Ding G, Cao W, Xu X, Heng Y, Deng Y, Li Y, Zhang X, Li D, Wang W, Wang Y, Xing W, Hou H. Glycomics: Immunoglobulin G N-Glycosylation Associated with Mammary Gland Hyperplasia in Women. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2020; 24:551-558. [PMID: 32833579 DOI: 10.1089/omi.2020.0091] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Mammary gland hyperplasia (MGH) is very common, especially among young and middle-aged women. New diagnostics and biomarkers for MGH are needed for rational clinical management and precision medicine. We report, in this study, new findings using a glycomics approach, with a focus on immunoglobulin G (IgG) N-glycosylation. A cross-sectional study was conducted in a community-based population sample in Beijing, China. A total of 387 participants 40-65 years of age were enrolled in this study, including 194 women with MGH (cases) and 193 women who had no MGH (controls). IgG N-glycans were characterized in the serum by ultra-performance liquid chromatography. The levels of the glycan peaks (GPs) GP2, GP5, GP6, and GP7 were lower in the MGH group compared with the control group, whereas GP14 was significantly higher in the MGH group (p < 0.05). A predictive model using GP5, GP21, and age was established and a receiver operating characteristic curve analysis was performed. The sensitivity and specificity of the model for MGH was 61.3% and 63.2%, respectively, likely owing to receptor mechanisms and/or inflammation regulation. To the best of our knowledge, this is the first study reporting on an association between IgG N-glycosylation and MGH. We suggest person-to-person variations in IgG N-glycans and their combination with multiomics biomarker strategies offer a promising avenue to identify novel diagnostics and individuals at increased risk of MGH.
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Affiliation(s)
- Zixiu Meng
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Cancan Li
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Guoyong Ding
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Weijie Cao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xizhu Xu
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Yuanyuan Heng
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Yang Deng
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Yuejin Li
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Xiaoyu Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Dong Li
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Wei Wang
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
| | - Youxin Wang
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia.,School of Public Health and Management, Binzhou Medical University, Yantai, China
| | - Weijia Xing
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Haifeng Hou
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
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29
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Sénard T, Gargano AFG, Falck D, de Taeye SW, Rispens T, Vidarsson G, Wuhrer M, Somsen GW, Domínguez-Vega E. MS-Based Allotype-Specific Analysis of Polyclonal IgG-Fc N-Glycosylation. Front Immunol 2020; 11:2049. [PMID: 32973813 PMCID: PMC7472933 DOI: 10.3389/fimmu.2020.02049] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 07/28/2020] [Indexed: 12/18/2022] Open
Abstract
Current approaches to study glycosylation of polyclonal human immunoglobulins G (IgG) usually imply protein digestion or glycan release. While these approaches allow in-depth characterization, they also result in a loss of valuable information regarding certain subclasses, allotypes and co-occuring post-translational modifications (PTMs). Unfortunately, the high variability of polyclonal IgGs makes their intact mass spectrometry (MS) analysis extremely challenging. We propose here a middle-up strategy for the analysis of the intact fragment crystallizable (Fc) region of human plasma IgGs, with the aim of acquiring integrated information of the N-glycosylation and other PTMs of subclasses and allotypes. Human plasma IgG was isolated using Fc-specific beads followed by an on-bead C H 2 domain digestion with the enzyme IdeS. The obtained mixture of Fc subunits was analyzed by capillary electrophoresis (CE) and hydrophilic interaction liquid chromatography (HILIC) hyphenated with MS. CE-MS provided separation of different IgG-subclasses and allotypes, while HILIC-MS allowed resolution of the different glycoforms and their oxidized variants. The orthogonality of these techniques was key to reliably assign Fc allotypes. Five individual donors were analyzed using this approach. Heterozygosis was observed in all the analyzed donors resulting in a total of 12 allotypes identified. The assignments were further confirmed using recombinant monoclonal IgG allotypes as standards. While the glycosylation patterns were similar within allotypes of the same subclass, clear differences were observed between IgG subclasses and donors, highlighting the relevance of the proposed approach. In a single analysis, glycosylation levels specific for each allotype, relative abundances of subclasses and information on co-occurring modifications are obtained. This middle-up method represents an important step toward a comprehensive analysis of immunoglobulin G-Fc variants.
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Affiliation(s)
- Thomas Sénard
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
| | - Andrea F G Gargano
- Van 't Hoff Institute for Molecular Sciences, University of Amsterdam Analytical Chemistry Group, Amsterdam, Netherlands.,Amsterdam Institute for Molecular and Life Sciences (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - David Falck
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
| | - Steven W de Taeye
- Department of Experimental Immunohematology, Sanquin Research, Amsterdam, Netherlands.,Department of Immunopathology, Sanquin Research, Amsterdam, Netherlands
| | - Theo Rispens
- Department of Immunopathology, Sanquin Research, Amsterdam, Netherlands
| | - Gestur Vidarsson
- Department of Experimental Immunohematology, Sanquin Research, Amsterdam, Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
| | - Govert W Somsen
- Amsterdam Institute for Molecular and Life Sciences (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Elena Domínguez-Vega
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
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30
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Štambuk J, Nakić N, Vučković F, Pučić-Baković M, Razdorov G, Trbojević-Akmačić I, Novokmet M, Keser T, Vilaj M, Štambuk T, Gudelj I, Šimurina M, Song M, Wang H, Salihović MP, Campbell H, Rudan I, Kolčić I, Eller LA, McKeigue P, Robb ML, Halfvarson J, Kurtoglu M, Annese V, Škarić-Jurić T, Molokhia M, Polašek O, Hayward C, Kibuuka H, Thaqi K, Primorac D, Gieger C, Nitayaphan S, Spector T, Wang Y, Tillin T, Chaturvedi N, Wilson JF, Schanfield M, Filipenko M, Wang W, Lauc G. Global variability of the human IgG glycome. Aging (Albany NY) 2020; 12:15222-15259. [PMID: 32788422 PMCID: PMC7467356 DOI: 10.18632/aging.103884] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 07/25/2020] [Indexed: 12/20/2022]
Abstract
Immunoglobulin G (IgG) is the most abundant serum antibody which structural characteristics and effector functions are modulated through the attachment of various sugar moieties called glycans. Composition of the IgG N-glycome changes with age of an individual and in different diseases. Variability of IgG glycosylation within a population is well studied and is known to be affected by both genetic and environmental factors. However, global inter-population differences in IgG glycosylation have never been properly addressed. Here we present population-specific N-glycosylation patterns of IgG, analyzed in 5 different populations totaling 10,482 IgG glycomes, and of IgG’s fragment crystallizable region (Fc), analyzed in 2,579 samples from 27 populations sampled across the world. Country of residence associated with many N-glycan features and the strongest association was with monogalactosylation where it explained 38% of variability. IgG monogalactosylation strongly correlated with the development level of a country, defined by United Nations health and socioeconomic development indicators, and with the expected lifespan. Subjects from developing countries had low levels of IgG galactosylation, characteristic for inflammation and ageing. Our results suggest that citizens of developing countries may be exposed to environmental factors that can cause low-grade chronic inflammation and the apparent increase in biological age.
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Affiliation(s)
- Jerko Štambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Natali Nakić
- Department of Neuroscience, Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy
| | | | | | | | | | | | - Toma Keser
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Marija Vilaj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Tamara Štambuk
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Mirna Šimurina
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Hao Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | | | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Ivana Kolčić
- School of Medicine, University of Split, Split, Croatia
| | - Leigh Anne Eller
- Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA
| | - Paul McKeigue
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Merlin L Robb
- Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA
| | - Jonas Halfvarson
- Department of Gastroenterology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Metin Kurtoglu
- Department of Oncology, Koç University School of Medicine, Istanbul, Turkey
| | - Vito Annese
- Careggi University Hospital, Florence, Italy
| | | | - Mariam Molokhia
- School of Population Health and Environmental Sciences, King's College London, London, United Kingdom
| | - Ozren Polašek
- School of Medicine, University of Split, Split, Croatia
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Hannah Kibuuka
- Makerere University Walter Reed Project, Kampala, Uganda
| | - Kujtim Thaqi
- Institute of Clinical Biochemistry, Priština, Kosovo
| | | | - Christian Gieger
- Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Therese Tillin
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, London, United Kingdom
| | - Nish Chaturvedi
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, London, United Kingdom
| | - James F Wilson
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom.,MRC Human Genetics Unit, MRC Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Moses Schanfield
- Department of Forensic Sciences, George Washington University, Washington, DC 20007, USA
| | - Maxim Filipenko
- Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.,Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
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31
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Lin S, Wang Y, Wang X, Yan B, Lou W, Di W. Serum immunoglobulin G N-glycome: a potential biomarker in endometrial cancer. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:748. [PMID: 32647673 PMCID: PMC7333120 DOI: 10.21037/atm-20-3504] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Background With the increase in incidence and mortality of endometrial cancer (EC), there is an urgent need to explore non-invasive strategies for identifying EC patients and facilitating risk stratification. The alteration of immunoglobulin G (IgG) N-glycome has been indicated in autoimmune diseases and several cancer types, demonstrating a significant association with disease pathogenesis and progression. However, little has been investigated in the IgG N-glycome of EC patients. Methods A total of 94 EC patients and 112 healthy females were recruited and sorted into an EC cohort and a control cohort. Serum samples were obtained from every participant, and IgG N-glycome profiling was conducted using ultra-performance liquid chromatography (UPLC). Results A total of 24 directly measured N-glycans and 11 derived traits based on the shared glycan structures were analyzed in the EC and control cohorts. We detected a significant downregulation of galactosylation and sialylation in the EC cohort compared with the control cohort, while glycans with bisecting N-acetylglucosamine (GlcNAc) were elevated in EC patients. Receiver operating characteristic (ROC) analysis based on glycan traits showed good diagnostic performance of IgG N-glycans for EC. Furthermore, by exploring the association of IgG N-glycome with prognostic risk factors in EC, we observed that lower levels of galactosylation and sialylation were correlated with high-risk factors including older age, non-endometrioid histologic subtypes, advanced stage, poor differentiation of tumor, and >50% myometrial invasion (MI). Conclusions Our results suggest that the IgG N-glycome profile could be a potential biomarker for EC diagnosis and a promising indicator for prognostic risk factors, and thus may facilitate the early detection of EC and the identification of high-risk patients.
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Affiliation(s)
- Sihan Lin
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - You Wang
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xinran Wang
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bin Yan
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Weihua Lou
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wen Di
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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32
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Singh SS, Heijmans R, Meulen CKE, Lieverse AG, Gornik O, Sijbrands EJG, Lauc G, van Hoek M. Association of the IgG N-glycome with the course of kidney function in type 2 diabetes. BMJ Open Diabetes Res Care 2020; 8:8/1/e001026. [PMID: 32349995 PMCID: PMC7213753 DOI: 10.1136/bmjdrc-2019-001026] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 03/05/2020] [Accepted: 04/06/2020] [Indexed: 12/26/2022] Open
Abstract
INTRODUCTION Inflammatory processes are thought to be involved in kidney function decline in individuals with type 2 diabetes. Glycosylation of immunoglobulin G (IgG) is an important post-translation process affecting the inflammatory potential of IgG. We investigated the prospective relationship between IgG N-glycosylation patterns and kidney function in type 2 diabetes. RESEARCH DESIGN AND METHODS In the DiaGene study, an all-lines-of-care case-control study (n=1886) with mean prospective follow-up of 7.0 years, the association between 58 IgG N-glycan profiles and estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR) per year and during total follow-up was analyzed. Models were adjusted for clinical variables and multiple comparisons. RESULTS Eleven traits were significantly associated with eGFR change per year. Bisecting GlcNAc in fucosylated and fucosylated disialylated structures and monosialylation of fucosylated digalactosylated structures were associated with a faster decrease of eGFR. Fucosylation of neutral and monogalactosylated structures was associated with less eGFR decline per year. No significant associations between IgG glycans and ACR were found. CONCLUSIONS In type 2 diabetes, we found IgG N-glycosylation patterns associated with a faster decline of kidney function, reflecting a pro-inflammatory state of IgG. eGFR, but not ACR, was associated with IgG glycans, which suggests these associations may represent renal macroangiopathy rather than microvascular disease.
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Affiliation(s)
- Sunny S Singh
- Internal Medicine, Erasmus MC, Rotterdam, Zuid-Holland, Netherlands
| | - Ralph Heijmans
- Internal Medicine, Erasmus MC, Rotterdam, Zuid-Holland, Netherlands
| | | | - Aloysius G Lieverse
- Internal Medicine, Maxima Medical Centre, Eindhoven, Noord-Brabant, Netherlands
| | - Olga Gornik
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | | | - Gordan Lauc
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Mandy van Hoek
- Internal Medicine, Erasmus MC, Rotterdam, Zuid-Holland, Netherlands
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33
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Vletter EM, Koning MT, Scherer HU, Veelken H, Toes REM. A Comparison of Immunoglobulin Variable Region N-Linked Glycosylation in Healthy Donors, Autoimmune Disease and Lymphoma. Front Immunol 2020; 11:241. [PMID: 32133009 PMCID: PMC7040075 DOI: 10.3389/fimmu.2020.00241] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 01/29/2020] [Indexed: 12/14/2022] Open
Abstract
N-linked glycans play an important role in immunity. Although the role of N-linked glycans in the Fragment crystallizable (Fc) region of immunoglobulins has been thoroughly described, the function of N-linked glycans present in Ig-variable domains is only just being appreciated. Most of the N-linked glycans harbored by immunoglobulin variable domain are of the complex biantennary type and are found as a result of the presence of N-linked glycosylation that most often have been introduced by somatic hypermutation. Furthermore, these glycans are ubiquitously present on autoantibodies observed in some autoimmune diseases as well as certain B-cell lymphomas. For example, variable domain glycans are abundantly found by anti-citrullinated protein antibodies (ACPA) in rheumatoid arthritis (RA) as well as by the B-cell receptors of follicular lymphoma (FL). In FL, variable domain glycans are postulated to convey a selective advantage through interaction with lectins and/or microbiota, whereas the contribution of variable domain glycans on autoantibodies is not known. To aid the understanding how these seemingly comparable phenomena contribute to a variety of deranged B-responses in such different diseases this study summarizes the characteristics of ACPA and other auto-antibodies with FL and healthy donor immunoglobulins, to identify the commonalities and differences between variable domain glycans in autoimmune and malignant settings. Our finding indicate intriguing differences in variable domain glycan distribution, frequency and glycan composition in different conditions. These findings underline that variable domain glycosylation is a heterogeneous process that may lead to a number of pathogenic outcomes. Based on the current body of knowledge, we postulate three disease groups with distinct variable domain glycosylation patterns, which might correspond with distinct underlying pathogenic processes.
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Affiliation(s)
- Esther M Vletter
- Department of Rheumatology, Leiden University Medical Center, Leiden, Netherlands.,Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Marvyn T Koning
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Hans Ulrich Scherer
- Department of Rheumatology, Leiden University Medical Center, Leiden, Netherlands
| | - Hendrik Veelken
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Rene E M Toes
- Department of Rheumatology, Leiden University Medical Center, Leiden, Netherlands
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34
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Klarić L, Tsepilov YA, Stanton CM, Mangino M, Sikka TT, Esko T, Pakhomov E, Salo P, Deelen J, McGurnaghan SJ, Keser T, Vučković F, Ugrina I, Krištić J, Gudelj I, Štambuk J, Plomp R, Pučić-Baković M, Pavić T, Vilaj M, Trbojević-Akmačić I, Drake C, Dobrinić P, Mlinarec J, Jelušić B, Richmond A, Timofeeva M, Grishchenko AK, Dmitrieva J, Bermingham ML, Sharapov SZ, Farrington SM, Theodoratou E, Uh HW, Beekman M, Slagboom EP, Louis E, Georges M, Wuhrer M, Colhoun HM, Dunlop MG, Perola M, Fischer K, Polasek O, Campbell H, Rudan I, Wilson JF, Zoldoš V, Vitart V, Spector T, Aulchenko YS, Lauc G, Hayward C. Glycosylation of immunoglobulin G is regulated by a large network of genes pleiotropic with inflammatory diseases. SCIENCE ADVANCES 2020; 6:eaax0301. [PMID: 32128391 PMCID: PMC7030929 DOI: 10.1126/sciadv.aax0301] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 11/19/2019] [Indexed: 05/03/2023]
Abstract
Effector functions of immunoglobulin G (IgG) are regulated by the composition of a glycan moiety, thus affecting activity of the immune system. Aberrant glycosylation of IgG has been observed in many diseases, but little is understood about the underlying mechanisms. We performed a genome-wide association study of IgG N-glycosylation (N = 8090) and, using a data-driven network approach, suggested how associated loci form a functional network. We confirmed in vitro that knockdown of IKZF1 decreases the expression of fucosyltransferase FUT8, resulting in increased levels of fucosylated glycans, and suggest that RUNX1 and RUNX3, together with SMARCB1, regulate expression of glycosyltransferase MGAT3. We also show that variants affecting the expression of genes involved in the regulation of glycoenzymes colocalize with variants affecting risk for inflammatory diseases. This study provides new evidence that variation in key transcription factors coupled with regulatory variation in glycogenes modifies IgG glycosylation and has influence on inflammatory diseases.
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Affiliation(s)
- Lucija Klarić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Yakov A. Tsepilov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Science, 630090 Novosibirsk, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Chloe M. Stanton
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
- NIHR Biomedical Research Centre at Guy’s and St Thomas’ Foundation Trust, London, UK
| | - Timo Tõnis Sikka
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Division of Endocrinology, Boston Children’s Hospital, Cambridge, MA, USA
| | - Eugene Pakhomov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Science, 630090 Novosibirsk, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Perttu Salo
- Genomics and Biomarkers Unit, Department of Health, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Joris Deelen
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, Netherlands
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Stuart J. McGurnaghan
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Toma Keser
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | | | - Ivo Ugrina
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- University of Split, Faculty of Science, Split, Croatia
| | | | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Jerko Štambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Rosina Plomp
- Leiden University Medical Centre, Leiden, Netherlands
| | | | - Tamara Pavić
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Marija Vilaj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | | | - Camilla Drake
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Paula Dobrinić
- Division of Molecular Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Jelena Mlinarec
- Division of Molecular Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Barbara Jelušić
- Division of Molecular Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Anne Richmond
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Maria Timofeeva
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre and Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Alexander K. Grishchenko
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Science, 630090 Novosibirsk, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Julia Dmitrieva
- Unit of Animal Genomics, WELBIO, GIGA-R and Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | - Mairead L. Bermingham
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Sodbo Zh. Sharapov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Science, 630090 Novosibirsk, Russia
| | - Susan M. Farrington
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre and Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Evropi Theodoratou
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Hae-Won Uh
- Leiden University Medical Centre, Leiden, Netherlands
- Department of Biostatistics and Research Support, University Medical Center Utrecht, Utrecht, Netherlands
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, Netherlands
| | - Eline P. Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, Netherlands
| | - Edouard Louis
- CHU-Liège and Unit of Gastroenterology, GIGA-R and Faculty of Medicine, University of Liège, Liège, Belgium
| | - Michel Georges
- Unit of Animal Genomics, WELBIO, GIGA-R and Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | | | - Helen M. Colhoun
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Department of Public Health, NHS Fife, Kirkcaldy, UK
| | - Malcolm G. Dunlop
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre and Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Markus Perola
- Genomics and Biomarkers Unit, Department of Health, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Ozren Polasek
- Department of Public Health, Faculty of Medicine, University of Split, Split, Croatia
- Gen-info, Zagreb, Croatia
- Psychiatric Hospital Sveti Ivan, Zagreb, Croatia
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - James F. Wilson
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Vlatka Zoldoš
- Division of Molecular Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Veronique Vitart
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Yurii S. Aulchenko
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Science, 630090 Novosibirsk, Russia
- PolyOmica, Het Vlaggeschip 61, 5237 PA 's-Hertogenbosch, Netherlands
- Kurchatov Genomics Center, Institute of Cytology & Genetics, Novosibirsk, Russia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
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35
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Hou H, Xu X, Sun F, Zhang X, Dong H, Wang L, Ge S, An K, Sun Q, Li Y, Cao W, Song M, Hu S, Xing W, Wang W, Li D, Wang Y. Hyperuricemia is Associated with Immunoglobulin G N-Glycosylation: A Community-Based Study of Glycan Biomarkers. ACTA ACUST UNITED AC 2019; 23:660-667. [DOI: 10.1089/omi.2019.0004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Haifeng Hou
- School of Public Health, Taishan Medical University, Taian, China
| | - Xizhu Xu
- School of Public Health, Taishan Medical University, Taian, China
| | - Fengjing Sun
- Taishan Hospital of Shandong Province, Taian, China
| | - Xiaoyu Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Hualei Dong
- Taishan Hospital of Shandong Province, Taian, China
| | - Liang Wang
- Department of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, China
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, School of Pharmacy, Xuzhou Medical University, Xuzhou, China
| | - Siqi Ge
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Kang An
- School of Public Health, Taishan Medical University, Taian, China
| | - Qi Sun
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Yuejin Li
- School of Public Health, Taishan Medical University, Taian, China
| | - Weijie Cao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Shuangjie Hu
- Clinical Laboratory, Lianyungang Municipal Oriental Hospital, Lianyungang, China
| | - Weijia Xing
- School of Public Health, Taishan Medical University, Taian, China
| | - Wei Wang
- School of Public Health, Taishan Medical University, Taian, China
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Dong Li
- School of Public Health, Taishan Medical University, Taian, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
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36
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Zaytseva OO, Freidin MB, Keser T, Štambuk J, Ugrina I, Šimurina M, Vilaj M, Štambuk T, Trbojević-Akmačić I, Pučić-Baković M, Lauc G, Williams FMK, Novokmet M. Heritability of Human Plasma N-Glycome. J Proteome Res 2019; 19:85-91. [DOI: 10.1021/acs.jproteome.9b00348] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Olga O. Zaytseva
- Glycoscience Research Laboratory, Genos Ltd., Borongajska cesta 83H, Zagreb 10000, Croatia
| | - Maxim B. Freidin
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, Lambeth Palace Road, London SE1 7EH, U.K
| | - Toma Keser
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, Zagreb 10000, Croatia
| | - Jerko Štambuk
- Glycoscience Research Laboratory, Genos Ltd., Borongajska cesta 83H, Zagreb 10000, Croatia
| | - Ivo Ugrina
- Glycoscience Research Laboratory, Genos Ltd., Borongajska cesta 83H, Zagreb 10000, Croatia
- Faculty of Science, University of Split, Rud̵era Bošković 33, Split 21000, Croatia
| | - Mirna Šimurina
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, Zagreb 10000, Croatia
| | - Marija Vilaj
- Glycoscience Research Laboratory, Genos Ltd., Borongajska cesta 83H, Zagreb 10000, Croatia
| | - Tamara Štambuk
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, Zagreb 10000, Croatia
| | | | - Maja Pučić-Baković
- Glycoscience Research Laboratory, Genos Ltd., Borongajska cesta 83H, Zagreb 10000, Croatia
| | - Gordan Lauc
- Glycoscience Research Laboratory, Genos Ltd., Borongajska cesta 83H, Zagreb 10000, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, Zagreb 10000, Croatia
| | - Frances M. K. Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, Lambeth Palace Road, London SE1 7EH, U.K
| | - Mislav Novokmet
- Glycoscience Research Laboratory, Genos Ltd., Borongajska cesta 83H, Zagreb 10000, Croatia
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Abstract
AbstractTwinsUK is the largest cohort of community-dwelling adult twins in the UK. The registry comprises over 14,000 volunteer twins (14,838 including mixed, single and triplets); it is predominantly female (82%) and middle-aged (mean age 59). In addition, over 1800 parents and siblings of twins are registered volunteers. During the last 27 years, TwinsUK has collected numerous questionnaire responses, physical/cognitive measures and biological measures on over 8500 subjects. Data were collected alongside four comprehensive phenotyping clinical visits to the Department of Twin Research and Genetic Epidemiology, King’s College London. Such collection methods have resulted in very detailed longitudinal clinical, biochemical, behavioral, dietary and socioeconomic cohort characterization; it provides a multidisciplinary platform for the study of complex disease during the adult life course, including the process of healthy aging. The major strength of TwinsUK is the availability of several ‘omic’ technologies for a range of sample types from participants, which includes genomewide scans of single-nucleotide variants, next-generation sequencing, metabolomic profiles, microbiomics, exome sequencing, epigenetic markers, gene expression arrays, RNA sequencing and telomere length measures. TwinsUK facilitates and actively encourages sharing the ‘TwinsUK’ resource with the scientific community — interested researchers may request data via the TwinsUK website (http://twinsuk.ac.uk/resources-for-researchers/access-our-data/) for their own use or future collaboration with the study team. In addition, further cohort data collection is planned via the Wellcome Open Research gateway (https://wellcomeopenresearch.org/gateways). The current article presents an up-to-date report on the application of technological advances, new study procedures in the cohort and future direction of TwinsUK.
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Liu J, Dolikun M, Štambuk J, Trbojević-Akmačić I, Zhang J, Zhang J, Wang H, Meng X, Razdorov G, Menon D, Zheng D, Wu L, Wang Y, Song M, Lauc G, Wang W. Glycomics for Type 2 Diabetes Biomarker Discovery: Promise of Immunoglobulin G Subclass-Specific Fragment Crystallizable N-glycosylation in the Uyghur Population. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2019; 23:640-648. [PMID: 31393219 DOI: 10.1089/omi.2019.0052] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Aberrant immunoglobulin G (IgG) N-glycosylation offers new prospects to detect changes in cell metabolism and by extension, for biomarker discovery in type 2 diabetes mellitus (T2DM). However, past studies did not analyze the individual IgG subclasses in relation to T2DM pathophysiology. We report here original findings through a comparison of the IgG subclass-specific fragment crystallizable (Fc) glycan biosignatures in 115 T2DM patients with 122 healthy controls within the Uyghur population in China. IgG Fc glycosylation profiles were analyzed using nano-liquid chromatography-mass spectrometry to exclude changes attributed to fragment antigen binding N-glycosylation. After correction for clinical covariates, 27 directly measured and 4 derived glycan traits of the IgG subclass-specific N-glycopeptides were significantly associated with T2DM. Furthermore, we observed in T2DM a decrease in bisecting N-acetylglucosamine of IgG2 and agalactosylation of IgG4, and an increase in sialylation of IgG4 and digalactosylation of IgG2. Classification model based on IgG subclass-specific N-glycan traits was able to distinguish patients with T2DM from controls with an area under the receiver operating characteristic curve of 0.927 (95% confidence interval 0.894-0.960, p < 0.001). In conclusion, a robust association between the IgG subclass-specific Fc N-glycomes and T2DM was observed in the Uyghur population sample in China, suggesting a potential for the IgG Fc glycosylation as a biomarker candidate for type 2 diabetes. The integration of glycomics with other system science biomarkers might offer further hope for innovation in diagnosis and treatment of T2DM in the future. Finally, it is noteworthy that "Population Glycomics" is an emerging approach to biomarker discovery for common complex diseases.
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Affiliation(s)
- Jiaonan Liu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Mamatyusupu Dolikun
- College of the Life Sciences and Technology, Xinjiang University, Urumqi, China
| | - Jerko Štambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | | | - Jie Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Jinxia Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Hao Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Xiaoni Meng
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | | | - Desmond Menon
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Deqiang Zheng
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Lijuan Wu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.,Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
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Gebrehiwot AG, Melka DS, Kassaye YM, Rehan IF, Rangappa S, Hinou H, Kamiyama T, Nishimura SI. Healthy human serum N-glycan profiling reveals the influence of ethnic variation on the identified cancer-relevant glycan biomarkers. PLoS One 2018; 13:e0209515. [PMID: 30592755 PMCID: PMC6310272 DOI: 10.1371/journal.pone.0209515] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 12/06/2018] [Indexed: 12/14/2022] Open
Abstract
Background Most glycomics studies have focused on understanding disease mechanisms and proposing serum markers for various diseases, yet the influence of ethnic variation on the identified glyco-biomarker remains poorly addressed. This study aimed to investigate the inter-ethnic serum N-glycan variation among US origin control, Japanese, Indian, and Ethiopian healthy volunteers. Methods Human serum from 54 healthy subjects of various ethnicity and 11 Japanese hepatocellular carcinoma (HCC) patients were included in the study. We employed a comprehensive glycoblotting-assisted MALDI-TOF/MS-based quantitative analysis of serum N-glycome and fluorescence HPLC-based quantification of sialic acid species. Data representing serum N-glycan or sialic acid levels were compared among the ethnic groups using SPSS software. Results Total of 51 N-glycans released from whole serum glycoproteins could be reproducibly quantified within which 33 glycoforms were detected in all ethnicities. The remaining N-glycans were detected weakly but exclusively either in the Ethiopians (13 glycans) or in all the other ethnic groups (5 glycans). Highest abundance (p < 0.001) of high mannose, core-fucosylated, hyperbranched/hypersialylated N-glycans was demonstrated in Ethiopians. In contrast, only one glycan (m/z 2118) significantly differed among all ethnicities being highest in Indians and lowest in Ethiopians. Glycan abundance trend in Ethiopians was generally close to that of Japanese HCC patients. Glycotyping analysis further revealed ethnic-based disparities mainly in the branched and sialylated structures. Surprisingly, some of the glycoforms greatly elevated in the Ethiopian subjects have been identified as serum biomarkers of various cancers. Sialic acid level was significantly increased primarily in Ethiopians, compared to the other ethnicities. Conclusion The study revealed ethnic-specific differences in healthy human serum N-glycome with highest abundance of most glycoforms in the Ethiopian ethnicity. The results strongly emphasized the need to consider ethnicity matching for accurate glyco-biomarker identification. Further large-scale study employing various ethnic compositions is needed to verify the current result.
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Affiliation(s)
- Abrha G Gebrehiwot
- Division of Drug Discovery Research, Faculty of Advanced Life Science and Graduate School of Life Science, Hokkaido University, Kita-ku, Sapporo, Japan
| | - Daniel Seifu Melka
- Department of Biochemistry, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia
| | - Yimenashu Mamo Kassaye
- Department of Biochemistry, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia
| | - Ibrahim F Rehan
- Division of Drug Discovery Research, Faculty of Advanced Life Science and Graduate School of Life Science, Hokkaido University, Kita-ku, Sapporo, Japan.,Department of Animal Behaviour and Husbandry, Faculty of Veterinary Medicine, South Valley University, Qena, Egypt
| | - Shobith Rangappa
- Division of Drug Discovery Research, Faculty of Advanced Life Science and Graduate School of Life Science, Hokkaido University, Kita-ku, Sapporo, Japan
| | - Hiroshi Hinou
- Division of Drug Discovery Research, Faculty of Advanced Life Science and Graduate School of Life Science, Hokkaido University, Kita-ku, Sapporo, Japan
| | - Toshiya Kamiyama
- Department of Gastroenterological Surgery I, Graduate School of Medicine, Hokkaido University, N15, W7, Kita-ku, Sapporo, Japan
| | - Shin-Ichiro Nishimura
- Division of Drug Discovery Research, Faculty of Advanced Life Science and Graduate School of Life Science, Hokkaido University, Kita-ku, Sapporo, Japan
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40
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Gudelj I, Lauc G, Pezer M. Immunoglobulin G glycosylation in aging and diseases. Cell Immunol 2018; 333:65-79. [DOI: 10.1016/j.cellimm.2018.07.009] [Citation(s) in RCA: 206] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 07/19/2018] [Accepted: 07/19/2018] [Indexed: 01/01/2023]
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41
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Subedi GP, Barb AW. CD16a with oligomannose-type N-glycans is the only "low-affinity" Fc γ receptor that binds the IgG crystallizable fragment with high affinity in vitro. J Biol Chem 2018; 293:16842-16850. [PMID: 30213862 DOI: 10.1074/jbc.ra118.004998] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 08/29/2018] [Indexed: 12/26/2022] Open
Abstract
Fc γ receptors (FcγRs) bind circulating IgG (IgG1) at the surface of leukocytes. Antibodies clustered at the surface of a targeted particle trigger a protective immune response through activating FcγRs. Three recent reports indicate that the composition of the asparagine-linked carbohydrate chains (N-glycans) of FcγRIIIa/CD16a impacted IgG1-binding affinity. Here we determined how N-glycan composition affected the affinity of the "low-affinity" FcγRs for six homogeneous IgG1 Fc N-glycoforms (G0, G0F, G2, G2F, A2G2, and A2G2F). Surprisingly, CD16a with oligomannose N-glycans bound to IgG1 Fc (A2G2) with a KD = 1.0 ± 0.1 nm This affinity represents a 51-fold increase over the affinity measured for CD16a with complex-type N-glycans (51 ± 8 nm) and is comparable with the affinity of FcγRI/CD64, the sole "high-affinity" FcγR. CD16a N-glycan composition accounted for increases in binding affinity for the other IgG1 Fc glycoforms tested (10-50-fold). This remarkable sensitivity could only be eliminated by preventing glycosylation at Asn162 with an Asn-to-Gln mutation; mutations at the four other N-glycosylation sites preserved tighter binding in the Man5 glycoform. None of the other low-affinity FcγRs showed more than a 3.1-fold increase upon modifying the receptor N-glycan composition, including CD16b, which differs from CD16a by only four amino acid residues. This result indicates that CD16a is unique among the low-affinity FcγRs, and modifying only the glycan composition of both the IgG1 Fc ligand and receptor provides a 400-fold range in affinities.
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Affiliation(s)
- Ganesh P Subedi
- From the Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology Iowa State University, Ames, Iowa 50011
| | - Adam W Barb
- From the Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology Iowa State University, Ames, Iowa 50011
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42
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Krištić J, Zaytseva OO, Ram R, Nguyen Q, Novokmet M, Vučković F, Vilaj M, Trbojević-Akmačić I, Pezer M, Davern KM, Morahan G, Lauc G. Profiling and genetic control of the murine immunoglobulin G glycome. Nat Chem Biol 2018; 14:516-524. [PMID: 29632412 DOI: 10.1038/s41589-018-0034-3] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2017] [Accepted: 02/27/2018] [Indexed: 11/09/2022]
Abstract
Immunoglobulin G (IgG) glycosylation is essential for function of the immune system, but the genetic and environmental factors that underlie its inter-individual variability are not well defined. The Collaborative Cross (CC) genetic resource harnesses over 90% of the common genetic variation of the mouse. By analyzing the IgG glycome composition of 95 CC strains, we made several important observations: (i) glycome variation between mouse strains was higher than between individual humans, despite all mice having the same environmental influences; (ii) five genetic loci were found to be associated with murine IgG glycosylation; (iii) variants outside traditional glycosylation site motifs affected glycome variation; (iv) bisecting N-acetylglucosamine (GlcNAc) was produced by several strains although most previous studies have reported the absence of glycans containing the bisecting GlcNAc on murine IgGs; and (v) common laboratory mouse strains are not optimal animal models for studying effects of glycosylation on IgG function.
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Affiliation(s)
| | - Olga O Zaytseva
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Ramesh Ram
- Centre for Diabetes Research, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,Centre for Medical Research, University of Western Australia, Perth, WA, Australia
| | - Quang Nguyen
- Centre for Diabetes Research, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,Centre for Medical Research, University of Western Australia, Perth, WA, Australia
| | - Mislav Novokmet
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Frano Vučković
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Marija Vilaj
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | | | - Marija Pezer
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Kathleen M Davern
- Centre for Diabetes Research, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,Centre for Medical Research, University of Western Australia, Perth, WA, Australia
| | - Grant Morahan
- Centre for Diabetes Research, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,Centre for Medical Research, University of Western Australia, Perth, WA, Australia
| | - Gordan Lauc
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia. .,Department of Biochemistry and Molecular Biology, Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia.
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43
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Šimurina M, de Haan N, Vučković F, Kennedy NA, Štambuk J, Falck D, Trbojević-Akmačić I, Clerc F, Razdorov G, Khon A, Latiano A, D'Incà R, Danese S, Targan S, Landers C, Dubinsky M, McGovern DPB, Annese V, Wuhrer M, Lauc G. Glycosylation of Immunoglobulin G Associates With Clinical Features of Inflammatory Bowel Diseases. Gastroenterology 2018; 154:1320-1333.e10. [PMID: 29309774 PMCID: PMC5880750 DOI: 10.1053/j.gastro.2018.01.002] [Citation(s) in RCA: 110] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 12/15/2017] [Accepted: 01/02/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIMS Causes of inflammatory bowel diseases are not well understood and the most prominent forms, Crohn's disease (CD) and ulcerative colitis (UC), are sometimes hard to distinguish. Glycosylation of IgG has been associated with CD and UC. IgG Fc-glycosylation affects IgG effector functions. We evaluated changes in IgG Fc-glycosylation associated with UC and CD, as well as with disease characteristics in different patient groups. METHODS We analyzed 3441 plasma samples obtained from 2 independent cohorts of patients with CD (874 patients from Italy and 391 from the United States) or UC (1056 from Italy and 253 from the US and healthy individuals [controls]; 427 in Italy and 440 from the United States). IgG Fc-glycosylation (tryptic glycopeptides) was analyzed by liquid chromatography coupled to mass spectrometry. We analyzed associations between disease status (UC vs controls, CD vs controls, and UC vs CD) and glycopeptide traits, and associations between clinical characteristics and glycopeptide traits, using a logistic regression model with age and sex included as covariates. RESULTS Patients with CD or UC had lower levels of IgG galactosylation than controls. For example, the odds ratio (OR) for IgG1 galactosylation in patients with CD was 0.59 (95% confidence interval [CI], 0.51-0.69) and for patients with UC was 0.81 (95% CI, 0.71-0.92). Fucosylation of IgG was increased in patients with CD vs controls (for IgG1: OR, 1.27; 95% CI, 1.12-1.44), but decreased in patients with UC vs controls (for IgG23: OR, 0.72; 95% CI, 0.63-0.82). Decreased galactosylation associated with more severe CD or UC, including the need for surgery in patients with UC vs controls (for IgG1: OR, 0.69; 95% CI, 0.54-0.89) and in patients with CD vs controls (for IgG23: OR, 0.78; 95% CI, 0.66-0.91). CONCLUSIONS In a retrospective analysis of plasma samples from patients with CD or UC, we associated levels of IgG Fc-glycosylation with disease (compared to controls) and its clinical features. These findings could increase our understanding of mechanisms of CD and UC pathogenesis and be used to develop diagnostics or guide treatment.
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Affiliation(s)
- Mirna Šimurina
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Noortje de Haan
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Frano Vučković
- Genos Glycoscience Research Laboratory, BIOCentar, Zagreb, Croatia
| | | | - Jerko Štambuk
- Genos Glycoscience Research Laboratory, BIOCentar, Zagreb, Croatia
| | - David Falck
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Florent Clerc
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Genadij Razdorov
- Genos Glycoscience Research Laboratory, BIOCentar, Zagreb, Croatia
| | - Anna Khon
- Division of Gastroenterology, S. Camillo-Forlanini Hospital, Circonvallazione Gianicolense, Rome, Italy
| | - Anna Latiano
- Division of Gastroenterology, Casa Sollievo della Sofferenza Hospital, Istituto di Ricovero e Cura a Carattere Scientifico, San Giovanni Rotondo, Italy
| | - Renata D'Incà
- Division of Gastroenterology, University Hospital, Padua, Italy
| | - Silvio Danese
- Humanitas University, Inflammatory Bowel Disease Center, Department of Gastroenterology, Humanitas Clinical and Research Hospital, Milan, Italy
| | - Stephan Targan
- F. Widjaja Foundation, Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Carol Landers
- F. Widjaja Foundation, Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Marla Dubinsky
- F. Widjaja Foundation, Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Dermot P B McGovern
- F. Widjaja Foundation, Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Vito Annese
- Division of Gastroenterology, University Hospital Azienda Ospedaliero-Universitaria Careggi, Florence, Italy; Valiant Clinic, Dubai, United Arab Emirates
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Gordan Lauc
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia; Genos Glycoscience Research Laboratory, BIOCentar, Zagreb, Croatia.
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Pearce OMT. Cancer glycan epitopes: biosynthesis, structure and function. Glycobiology 2018; 28:670-696. [DOI: 10.1093/glycob/cwy023] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 03/09/2018] [Indexed: 12/13/2022] Open
Affiliation(s)
- Oliver M T Pearce
- Centre for Cancer & Inflammation, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London, UK
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45
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Dekkers G, Rispens T, Vidarsson G. Novel Concepts of Altered Immunoglobulin G Galactosylation in Autoimmune Diseases. Front Immunol 2018; 9:553. [PMID: 29616041 PMCID: PMC5867308 DOI: 10.3389/fimmu.2018.00553] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 03/05/2018] [Indexed: 12/22/2022] Open
Abstract
The composition of the conserved N297 glycan in immunoglobulin G (IgG) has been shown to affect antibody effector functions via C1q of the complement system and Fc gamma receptors (FcγR) on immune cells. Changes in the general levels of IgG-glycoforms, such as lowered total IgG galactosylation observed in many autoimmune diseases have been associated with elevated disease severity. Agalactosyslated IgG has therefore been regarded and classified by many as pro-inflammatory. However, and somewhat counterintuitively, agalactosylation has been shown by several groups to decrease affinity for FcγRIII and decrease C1q binding and downstream activation, which seems at odds with this proposed pro-inflammatory nature. In this review, we discuss these circumstances where altered IgG galactosylation/glycosylation is found. We propose a novel model based on these observations and current biochemical evidence, where the levels of IgG galactosylation found in the total bulk IgG affect the threshold required to achieve immune activation by autoantibodies through either C1q or FcγR. Although this model needs experimental verification, it is supported by several clinical observations and reconciles apparent discrepancies in the literature, and suggests a general mechanism in IgG-mediated autoimmune diseases.
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Affiliation(s)
- Gillian Dekkers
- Sanquin Research and Landsteiner Laboratory, Department of Experimental Immunohematology, Academic Medical Centre, University of Amsterdam, Amsterdam, Netherlands.,Sanquin Research and Landsteiner Laboratory, Department of Immunopathology, Academic Medical Centre, University of Amsterdam, Amsterdam, Netherlands
| | - Theo Rispens
- Sanquin Research and Landsteiner Laboratory, Department of Immunopathology, Academic Medical Centre, University of Amsterdam, Amsterdam, Netherlands
| | - Gestur Vidarsson
- Sanquin Research and Landsteiner Laboratory, Department of Experimental Immunohematology, Academic Medical Centre, University of Amsterdam, Amsterdam, Netherlands
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46
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Menni C, Gudelj I, Macdonald-Dunlop E, Mangino M, Zierer J, Bešić E, Joshi PK, Trbojević-Akmačić I, Chowienczyk PJ, Spector TD, Wilson JF, Lauc G, Valdes AM. Glycosylation Profile of Immunoglobulin G Is Cross-Sectionally Associated With Cardiovascular Disease Risk Score and Subclinical Atherosclerosis in Two Independent Cohorts. Circ Res 2018. [PMID: 29535164 PMCID: PMC5970566 DOI: 10.1161/circresaha.117.312174] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Supplemental Digital Content is available in the text. Rationale: One measure of protein glycosylation (GlycA) has been reported to predict higher cardiovascular risk by reflecting inflammatory pathways. Objective: The main objective of this study is to assess the role of a comprehensive panel of IgG glycosylation traits on traditional risk factors for cardiovascular disease and on presence of subclinical atherosclerosis in addition to GlycA. Methods and Results: We measured 76 IgG glycosylation traits in 2970 women (age range, 40–79 years) from the TwinsUK cohort and correlated it to their estimated 10-year atherosclerotic cardiovascular disease risk score and their carotid and femoral plaque measured by ultrasound imaging. Eight IgG glycan traits are associated with the 10-year atherosclerotic cardiovascular disease risk score after adjusting for multiple tests and for individual risk factors—5 with increased risk and 3 with decreased risk. These glycans replicated in 967 women from ORCADES cohort (Orkney Complex Disease Study), and 6 of them were also associated in 845 men. A linear combination of IgG glycans and GlycA is also associated with presence of carotid (odds ratio, 1.55; 95% confidence interval, 1.25–1.93; P=7.5×10-5) and femoral (odds ratio, 1.32; 95% confidence interval, 1.06–1.64; P=0.01) plaque in a subset of women with atherosclerosis data after adjustment for traditional risk factors. One specific glycosylation trait, GP18-the percentage of FA2BG2S1 glycan in total IgG glycans, was negatively correlated with very-low-density lipoprotein and triglyceride levels in serum and with presence of carotid plaque (odds ratio, 0.60; 95% confidence interval, 0.50–0.71; P=5×10-4). Conclusions: We find molecular pathways linking IgG to arterial lesion formation. Glycosylation traits are independently associated with subclinical atherosclerosis. One specific trait related to the sialylated N-glycan is negatively correlated with cardiovascular disease risk, very-low-density lipoprotein and triglyceride serum levels, and presence of carotid plaque.
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Affiliation(s)
- Cristina Menni
- From the Department of Twin Research and Genetic Epidemiology (C.M., M.M., J.Z., T.D.S., A.M.V.)
| | - Ivan Gudelj
- King's College London, United Kingdom; Genos Glycoscience Research Laboratory, Zagreb, Croatia (I.G., I.T.-A., G.L.)
| | - Erin Macdonald-Dunlop
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics (E.M.-D., P.K.J., J.F.W.)
| | - Massimo Mangino
- From the Department of Twin Research and Genetic Epidemiology (C.M., M.M., J.Z., T.D.S., A.M.V.).,University of Edinburgh, Scotland; National Institute for Health Research Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, UK (M.M.)
| | - Jonas Zierer
- From the Department of Twin Research and Genetic Epidemiology (C.M., M.M., J.Z., T.D.S., A.M.V.).,Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany (J.Z.)
| | - Erim Bešić
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Croatia (E.B., G.L.)
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics (E.M.-D., P.K.J., J.F.W.)
| | - Irena Trbojević-Akmačić
- King's College London, United Kingdom; Genos Glycoscience Research Laboratory, Zagreb, Croatia (I.G., I.T.-A., G.L.)
| | - Phil J Chowienczyk
- Department of Clinical Pharmacology, British Heart Foundation Centre (P.J.C.)
| | - Tim D Spector
- From the Department of Twin Research and Genetic Epidemiology (C.M., M.M., J.Z., T.D.S., A.M.V.)
| | - James F Wilson
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics (E.M.-D., P.K.J., J.F.W.).,Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital (J.F.W.)
| | - Gordan Lauc
- King's College London, United Kingdom; Genos Glycoscience Research Laboratory, Zagreb, Croatia (I.G., I.T.-A., G.L.).,Faculty of Pharmacy and Biochemistry, University of Zagreb, Croatia (E.B., G.L.)
| | - Ana M Valdes
- From the Department of Twin Research and Genetic Epidemiology (C.M., M.M., J.Z., T.D.S., A.M.V.) .,School of Medicine, Nottingham City Hospital, United Kingdom (A.M.V.).,National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, United Kingdom (A.M.V.)
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Wahl A, Kasela S, Carnero-Montoro E, van Iterson M, Štambuk J, Sharma S, van den Akker E, Klaric L, Benedetti E, Razdorov G, Trbojević-Akmačić I, Vučković F, Ugrina I, Beekman M, Deelen J, van Heemst D, Heijmans BT, B.I.O.S. Consortium, Wuhrer M, Plomp R, Keser T, Šimurina M, Pavić T, Gudelj I, Krištić J, Grallert H, Kunze S, Peters A, Bell JT, Spector TD, Milani L, Slagboom PE, Lauc G, Gieger C. IgG glycosylation and DNA methylation are interconnected with smoking. Biochim Biophys Acta Gen Subj 2018; 1862:637-648. [DOI: 10.1016/j.bbagen.2017.10.012] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 10/01/2017] [Accepted: 10/16/2017] [Indexed: 01/18/2023]
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48
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Wahl A, van den Akker E, Klaric L, Štambuk J, Benedetti E, Plomp R, Razdorov G, Trbojević-Akmačić I, Deelen J, van Heemst D, Slagboom PE, Vučković F, Grallert H, Krumsiek J, Strauch K, Peters A, Meitinger T, Hayward C, Wuhrer M, Beekman M, Lauc G, Gieger C. Genome-Wide Association Study on Immunoglobulin G Glycosylation Patterns. Front Immunol 2018. [PMID: 29535710 PMCID: PMC5834439 DOI: 10.3389/fimmu.2018.00277] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Immunoglobulin G (IgG), a glycoprotein secreted by plasma B-cells, plays a major role in the human adaptive immune response and are associated with a wide range of diseases. Glycosylation of the Fc binding region of IgGs, responsible for the antibody’s effector function, is essential for prompting a proper immune response. This study focuses on the general genetic impact on IgG glycosylation as well as corresponding subclass specificities. To identify genetic loci involved in IgG glycosylation, we performed a genome-wide association study (GWAS) on liquid chromatography electrospray mass spectrometry (LC–ESI-MS)—measured IgG glycopeptides of 1,823 individuals in the Cooperative Health Research in the Augsburg Region (KORA F4) study cohort. In addition, we performed GWAS on subclass-specific ratios of IgG glycans to gain power in identifying genetic factors underlying single enzymatic steps in the glycosylation pathways. We replicated our findings in 1,836 individuals from the Leiden Longevity Study (LLS). We were able to show subclass-specific genetic influences on single IgG glycan structures. The replicated results indicate that, in addition to genes encoding for glycosyltransferases (i.e., ST6GAL1, B4GALT1, FUT8, and MGAT3), other genetic loci have strong influences on the IgG glycosylation patterns. A novel locus on chromosome 1, harboring RUNX3, which encodes for a transcription factor of the runt domain-containing family, is associated with decreased galactosylation. Interestingly, members of the RUNX family are cross-regulated, and RUNX3 is involved in both IgA class switching and B-cell maturation as well as T-cell differentiation and apoptosis. Besides the involvement of glycosyltransferases in IgG glycosylation, we suggest that, due to the impact of variants within RUNX3, potentially mechanisms involved in B-cell activation and T-cell differentiation during the immune response as well as cell migration and invasion involve IgG glycosylation.
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Affiliation(s)
- Annika Wahl
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology 2, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Erik van den Akker
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands.,Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, Netherlands
| | - Lucija Klaric
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.,MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.,Centre for Global Health Research Population Health Sciences, School of Molecular, Genetic and Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Jerko Štambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Elisa Benedetti
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Rosina Plomp
- Center for Proteomics and Metabolomics, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | | | - Joris Deelen
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands.,Max Planck Institute for Biology of Ageing, Köln, Germany
| | - Diana van Heemst
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | - Harald Grallert
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology 2, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Jan Krumsiek
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,IBE, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology 2, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.,Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology 2, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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49
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Unravelling Immunoglobulin G Fc N-Glycosylation: A Dynamic Marker Potentiating Predictive, Preventive and Personalised Medicine. Int J Mol Sci 2018; 19:ijms19020390. [PMID: 29382131 PMCID: PMC5855612 DOI: 10.3390/ijms19020390] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 01/10/2018] [Accepted: 01/24/2018] [Indexed: 11/21/2022] Open
Abstract
Multiple factors influence immunoglobulin G glycosylation, which in turn affect the glycoproteins’ function on eliciting an anti-inflammatory or pro-inflammatory response. It is prudent to underscore these processes when considering the use of immunoglobulin G N-glycan moieties as an indication of disease presence, progress, or response to therapeutics. It has been demonstrated that the altered expression of genes that encode enzymes involved in the biosynthesis of immunoglobulin G N-glycans, receptors, or complement factors may significantly modify immunoglobulin G effector response, which is important for regulating the immune system. The immunoglobulin G N-glycome is highly heterogenous; however, it is considered an interphenotype of disease (a link between genetic predisposition and environmental exposure) and so has the potential to be used as a dynamic biomarker from the perspective of predictive, preventive, and personalised medicine. Undoubtedly, a deeper understanding of how the multiple factors interact with each other to alter immunoglobulin G glycosylation is crucial. Herein we review the current literature on immunoglobulin G glycoprotein structure, immunoglobulin G Fc glycosylation, associated receptors, and complement factors, the downstream effector functions, and the factors associated with the heterogeneity of immunoglobulin G glycosylation.
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50
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Abstract
Glycosylation is one of the most frequent post-translational modification of proteins. Many membrane and secreted proteins are decorated by sugar chains mainly linked to asparagine (N-linked) or to serine or threonine (O-linked). The biosynthesis of the sugar chains is mainly controlled by the activity of their biosynthetic enzymes: the glycosyltransferases. Glycosylation plays multiple roles, including the fine regulation of the biological activity of glycoproteins. Inflammaging is a chronic low grade inflammatory status associated with aging, probably caused by the continuous exposure of the immune system to inflammatory stimuli of endogenous and exogenous origin. The aging-associated glycosylation changes often resemble those observed in inflammatory conditions. One of the most reproducible markers of calendar and biological aging is the presence of N-glycans lacking terminal galactose residues linked to Asn297 of IgG heavy chains (IgG-G0). Although the mechanism(s) generating IgG-G0 remain unclear, their presence in a variety of inflammatory conditions suggests a link with inflammaging. In addition, these aberrantly glycosylated IgG can exert a pro-inflammatory effect through different mechanisms, triggering a self-fueling inflammatory loop. A strong association with aging has been documented also for the plasmatic forms of glycosyltrasferases B4GALT1 and ST6GAL1, although their role in the extracellular glycosylation of antibodies does not appear likely. Siglecs, are a group of sialic acid binding mammalian lectins which mainly act as inhibitory receptors on the surface of immune cells. In general activity of Siglecs appears to be associated with long life, probably because of their ability to restrain aging-associated inflammation.
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Affiliation(s)
- Fabio Dall'Olio
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.
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