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He M, Zhou X, Wang X. Glycosylation: mechanisms, biological functions and clinical implications. Signal Transduct Target Ther 2024; 9:194. [PMID: 39098853 PMCID: PMC11298558 DOI: 10.1038/s41392-024-01886-1] [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: 10/21/2023] [Revised: 05/25/2024] [Accepted: 06/07/2024] [Indexed: 08/06/2024] Open
Abstract
Protein post-translational modification (PTM) is a covalent process that occurs in proteins during or after translation through the addition or removal of one or more functional groups, and has a profound effect on protein function. Glycosylation is one of the most common PTMs, in which polysaccharides are transferred to specific amino acid residues in proteins by glycosyltransferases. A growing body of evidence suggests that glycosylation is essential for the unfolding of various functional activities in organisms, such as playing a key role in the regulation of protein function, cell adhesion and immune escape. Aberrant glycosylation is also closely associated with the development of various diseases. Abnormal glycosylation patterns are closely linked to the emergence of various health conditions, including cancer, inflammation, autoimmune disorders, and several other diseases. However, the underlying composition and structure of the glycosylated residues have not been determined. It is imperative to fully understand the internal structure and differential expression of glycosylation, and to incorporate advanced detection technologies to keep the knowledge advancing. Investigations on the clinical applications of glycosylation focused on sensitive and promising biomarkers, development of more effective small molecule targeted drugs and emerging vaccines. These studies provide a new area for novel therapeutic strategies based on glycosylation.
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Affiliation(s)
- Mengyuan He
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
| | - Xiangxiang Zhou
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Suzhou, 251006, China.
| | - Xin Wang
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Suzhou, 251006, China.
- Taishan Scholars Program of Shandong Province, Jinan, Shandong, 250021, China.
- Branch of National Clinical Research Center for Hematologic Diseases, Jinan, Shandong, 250021, China.
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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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Hoshi RA, Plavša B, Liu Y, Trbojević-Akmačić I, Glynn RJ, Ridker PM, Cummings RD, Gudelj I, Lauc G, Demler OV, Mora S. N-Glycosylation Profiles of Immunoglobulin G and Future Cardiovascular Events. Circ Res 2024; 134:e3-e14. [PMID: 38348651 PMCID: PMC10923145 DOI: 10.1161/circresaha.123.323623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/26/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND Posttranslational glycosylation of IgG can modulate its inflammatory capacity through structural variations. We examined the association of baseline IgG N-glycans and an IgG glycan score with incident cardiovascular disease (CVD). METHODS IgG N-glycans were measured in 2 nested CVD case-control studies: JUPITER (Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin; NCT00239681; primary prevention; discovery; Npairs=162); and TNT trial (Treating to New Targets; NCT00327691; secondary prevention; validation; Npairs=397). Using conditional logistic regression, we investigated the association of future CVD with baseline IgG N-glycans and a glycan score adjusting for clinical risk factors (statin treatment, age, sex, race, lipids, hypertension, and smoking) in JUPITER. Significant associations were validated in TNT, using a similar model further adjusted for diabetes. Using least absolute shrinkage and selection operator regression, an IgG glycan score was derived in JUPITER as a linear combination of selected IgG N-glycans. RESULTS Six IgG N-glycans were associated with CVD in both studies: an agalactosylated glycan (IgG-GP4) was positively associated, while 3 digalactosylated glycans (IgG glycan peaks 12, 13, 14) and 2 monosialylated glycans (IgG glycan peaks 18, 20) were negatively associated with CVD after multiple testing correction (overall false discovery rate <0.05). Four selected IgG N-glycans comprised the IgG glycan score, which was associated with CVD in JUPITER (adjusted hazard ratio per glycan score SD, 2.08 [95% CI, 1.52-2.84]) and validated in TNT (adjusted hazard ratio per SD, 1.20 [95% CI, 1.03-1.39]). The area under the curve changed from 0.693 for the model without the score to 0.728 with the score in JUPITER (PLRT=1.1×10-6) and from 0.635 to 0.637 in TNT (PLRT=0.017). CONCLUSIONS An IgG N-glycan profile was associated with incident CVD in 2 populations (primary and secondary prevention), involving an agalactosylated glycan associated with increased risk of CVD, while several digalactosylated and sialylated IgG glycans associated with decreased risk. An IgG glycan score was positively associated with future CVD.
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Affiliation(s)
- Rosangela A. Hoshi
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Branimir Plavša
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Yanyan Liu
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Robert J. Glynn
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Paul M Ridker
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Richard D. Cummings
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
| | - Gordan Lauc
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Olga V. Demler
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Computer Science Department, ETH Zurich, Zurich, Switzerland
| | - Samia Mora
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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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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Shkunnikova S, Mijakovac A, Sironic L, Hanic M, Lauc G, Kavur MM. IgG glycans in health and disease: Prediction, intervention, prognosis, and therapy. Biotechnol Adv 2023; 67:108169. [PMID: 37207876 DOI: 10.1016/j.biotechadv.2023.108169] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/21/2023]
Abstract
Immunoglobulin (IgG) glycosylation is a complex enzymatically controlled process, essential for the structure and function of IgG. IgG glycome is relatively stable in the state of homeostasis, yet its alterations have been associated with aging, pollution and toxic exposure, as well as various diseases, including autoimmune and inflammatory diseases, cardiometabolic diseases, infectious diseases and cancer. IgG is also an effector molecule directly involved in the inflammation processes included in the pathogenesis of many diseases. Numerous recently published studies support the idea that IgG N-glycosylation fine-tunes the immune response and plays a significant role in chronic inflammation. This makes it a promising novel biomarker of biological age, and a prognostic, diagnostic and treatment evaluation tool. Here we provide an overview of the current state of knowledge regarding the IgG glycosylation in health and disease, and its potential applications in pro-active prevention and monitoring of various health interventions.
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Affiliation(s)
- Sofia Shkunnikova
- Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia
| | - Anika Mijakovac
- University of Zagreb, Faculty of Science, Department of Biology, Horvatovac 102a, Zagreb, Croatia
| | - Lucija Sironic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia
| | - Maja Hanic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia; University of Zagreb, Faculty of Pharmacy and Biochemistry, Ulica Ante Kovačića 1, Zagreb, Croatia
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6
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Lu X, Wang L, Wang M, Li Y, Zhao Q, Shi Y, Zhang Y, Wang Y, Wang W, Ji L, Hou H, Li D. Association between immunoglobulin G N-glycosylation and lupus nephritis in female patients with systemic lupus erythematosus: a case-control study. Front Immunol 2023; 14:1257906. [PMID: 37809087 PMCID: PMC10552529 DOI: 10.3389/fimmu.2023.1257906] [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: 07/13/2023] [Accepted: 09/06/2023] [Indexed: 10/10/2023] Open
Abstract
Background Lupus nephritis (LN) is a crucial complication of systemic lupus erythematosus (SLE) and has important clinical implications in guiding treatment. N-glycosylation of immunoglobulin G (IgG) plays a key role in the development of SLE by affecting the balance of anti-inflammatory and proinflammatory responses. This study aimed to evaluate the performance of IgG N-glycosylation for diagnosing LN in a sample of female SLE patients. Methods This case-control study recruited 188 women with SLE, including 94 patients with LN and 94 age-matched patients without LN. The profiles of plasma IgG N-glycans were detected by hydrophilic interaction chromatography with ultra-performance liquid chromatography (HILIC-UPLC). A multivariate logistic regression model was used to explore the associations between IgG N-glycans and LN. A diagnostic model was developed using the significant glycans as well as demographic factors. The performance of IgG N-glycans in the diagnosis of LN was evaluated by receiver operating characteristic (ROC) curve analysis, and the area under the curve (AUC) and its 95% confidence interval (CI) were calculated. Results There were significant differences in 9 initial glycans (GP2, GP4, GP6, GP8, GP10, GP14, GP16, GP18 and GP23) between women with SLE with and without LN (P < 0.05). The levels of sialylated, galactosylated and fucosylated glycans were significantly lower in the LN patients than in the control group, while bisected N-acetylglucosamine (GlcNAc) glycans were increased in LN patients (P < 0.05). GP8, GP10, GP18, and anemia were included in our diagnostic model, which performed well in differentiating female SLE patients with LN from those without LN (AUC = 0.792, 95% CI: 0.727 to 0.858). Conclusion Our findings indicate that decreased sialylation, galactosylation, and core fucosylation and increased bisecting GlcNAc might play a role in the development of LN by upregulating the proinflammatory response of IgG. IgG N-glycans can serve as potential biomarkers to differentiate individuals with LN among SLE patients.
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Affiliation(s)
- Xinxia Lu
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Liangao Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Meng Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Jinshan District Center for Disease Control and Prevention, Shanghai, China
| | - Yuejin Li
- Shandong Institute of Parasitic Diseases, Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, China
| | - Qinqin Zhao
- Department of Geriatric Cognitive Medicine, The Affiliated Taian City Central Hospital of Qingdao University, Taian, China
| | - Yanjun Shi
- Department of Rheumatology and Immunology, Liaocheng People’s Hospital, Liao’cheng, China
| | - Yujing Zhang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Yingjie Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Wei Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Long Ji
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- College of Sports Medicine and Rehabilitation, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
| | - Haifeng Hou
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Department of Gastroenterology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Dong Li
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Clinical Research Center, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
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7
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Zdravkova IY, Tilkiyan EE, Bozhkova DM. Lectin complement pathway and diabetes mellitus in the pathogenesis of membranous nephropathy. Folia Med (Plovdiv) 2023; 65:597-604. [PMID: 37655378 DOI: 10.3897/folmed.65.e85472] [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: 04/18/2022] [Accepted: 08/08/2022] [Indexed: 09/02/2023] Open
Abstract
INTRODUCTION Membranous nephropathy (MN) is a glomerulonephritis with growing incidence and its pathogenesis still remains unclear, despite discoveries of many new antigens. The understanding of MN pathogenesis has moved from antigen-antibody arena to the complement activation through the lectin pathway.
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8
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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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9
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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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10
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Oswald DM, Lehoux SD, Zhou JY, Glendenning LM, Cummings RD, Cobb BA. ST6Gal1 in plasma is dispensable for IgG sialylation. Glycobiology 2022; 32:803-813. [PMID: 35746897 DOI: 10.1093/glycob/cwac039] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 06/08/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
The glycosylation of IgG has attracted increased attention due to the impact of N-glycan modifications at N297 on IgG function, acting primarily through modulation of Fc domain conformation and Fcγ receptor binding affinities and signaling. However, the mechanisms regulating IgG glycosylation and especially α2,6-sialylation of its N-glycan remain poorly understood. We observed previously that IgG is normally sialylated in mice with B cells lacking the sialyltransferase ST6Gal1. This supported the hypothesis that IgG may be sialylated outside of B cells, perhaps through the action of hepatocyte-released plasma ST6Gal1. Here we demonstrate that this model is incorrect. Animals lacking hepatocyte expressed ST6Gal1 retain normal IgG α2,6-sialylation, despite the lack of detectable ST6Gal1 in plasma. Moreover, we confirmed that B cells were not a redundant source of IgG sialylation. Thus, while α2,6-sialylation is lacking in IgG from mice with germline ablation of ST6Gal1, IgG α2,6-sialylation is normal in mice lacking ST6Gal1 in either hepatocytes or B cells. These results indicate that IgG α2,6-sialylation arises after release from a B cell, but is not dependent on plasma-localized ST6Gal1 activity.
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Affiliation(s)
- Douglas M Oswald
- Case Western Reserve University School of Medicine, Department of Pathology, Cleveland, OH, USA
| | - Sylvain D Lehoux
- Beth Israel Deaconess Medical Center, Harvard Medical School Center for Glycoscience, National Center for Functional Glycomics, Boston, MA, USA
| | - Julie Y Zhou
- Case Western Reserve University School of Medicine, Department of Pathology, Cleveland, OH, USA
| | - Leandre M Glendenning
- Case Western Reserve University School of Medicine, Department of Pathology, Cleveland, OH, USA
| | - Richard D Cummings
- Beth Israel Deaconess Medical Center, Harvard Medical School Center for Glycoscience, National Center for Functional Glycomics, Boston, MA, USA
| | - Brian A Cobb
- Case Western Reserve University School of Medicine, Department of Pathology, Cleveland, OH, USA
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11
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Definition of IgG Subclass-Specific Glycopatterns in Idiopathic Membranous Nephropathy: Aberrant IgG Glycoforms in Blood. Int J Mol Sci 2022; 23:ijms23094664. [PMID: 35563055 PMCID: PMC9101794 DOI: 10.3390/ijms23094664] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/15/2022] [Accepted: 04/20/2022] [Indexed: 11/18/2022] Open
Abstract
The podocyte injury, and consequent proteinuria, that characterize the pathology of idiopathic membranous nephropathy (IMN) is mediated by an autoimmune reaction against podocyte antigens. In particular, the activation of pathways leading to abundant renal deposits of complement is likely to involve the binding of mannose-binding lectin (MBL) to aberrant glycans on immunoglobulins. To obtain a landscape of circulatory IgG Fc glycosylation characterizing this disease, we conducted a systematic N-glycan profiling study of IgG1, 2, and 4 by mass spectrometry. The cohort included 57 IMN patients, a pathological control group with nephrotic syndrome (PN) (n = 20), and 88 healthy control subjects. The effect of sex and age was assessed in all groups and controlled by rigorous matching. Several IgG Fc glycan traits were found to be associated with IMN. Interestingly, among them, only IgG4-related results were specific for IMN and not for PN. Hypo-galactosylation of IgG4, already shown for IMN, was observed to occur in the absence of core fucose, in line with a probable increase of pro-inflammatory IgG. In addition, elevated levels of fucosylated IgG4, along with low levels of hybrid-type glycans, were detected. Some of these IgG4 alterations are likely to be more pronounced in high PLA2R (phospholipase A2 receptor) patients. IgG Fc glycosylation patterns associated with IMN warrant further studies of their role in disease mechanisms and may eventually enrich the diagnostic spectrum regarding patient stratification.
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Sierra A, Otero S, Rodríguez E, Faura A, Vera M, Riera M, Palau V, Durán X, Costa-Garrido A, Sans L, Márquez E, Poposki V, Franch-Nadal J, Mundet X, Oliveras A, Crespo M, Pascual J, Barrios C. The GenoDiabMar Registry: A Collaborative Research Platform of Type 2 Diabetes Patients. J Clin Med 2022; 11:1431. [PMID: 35268522 PMCID: PMC8911424 DOI: 10.3390/jcm11051431] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 02/24/2022] [Accepted: 03/02/2022] [Indexed: 12/11/2022] Open
Abstract
The GenoDiabMar registry is a prospective study that aims to provide data on demographic, biochemical, and clinical changes in type 2 diabetic (T2D) patients attending real medical outpatient consultations. This registry is also used to find new biomarkers related to the micro- and macrovascular complications of T2D, with a particular focus on diabetic nephropathy. With this purpose, longitudinal serum and urine samples, DNA banking, and data on 227 metabolomics profiles, 77 immunoglobulin G glycomics traits, and other emerging biomarkers were recorded in this cohort. In this study, we show a detailed longitudinal description of the clinical and analytical parameters of this registry, with a special focus on the progress of renal function and cardiovascular events. The main objective is to analyze whether there are differential risk factors for renal function deterioration between sexes, as well as to analyze cardiovascular events and mortality in this population. In total, 650 patients with a median age of 69 (14) with different grades of chronic kidney disease—G1−G2 (eGFR > 90−60 mL/min/1.73 m2) 50.3%, G3 (eGFR; 59−30 mL/min/1.73 m2) 31.4%, G4 (eGFR; 29−15 mL/min/1.73 m2) 10.8%, and G5 (eGFR < 15 mL/min/1.73 m2) 7.5%—were followed up for 4.7 (0.65) years. Regardless of albuminuria, women lost 0.93 (0.40−1.46) fewer glomerular filtration units per year than men. A total of 17% of the participants experienced rapid deterioration of renal function, 75.2% of whom were men, with differential risk factors between sexes—severe macroalbuminuria > 300 mg/g for men OR [IQ] 2.40 [1.29:4.44] and concomitant peripheral vascular disease 3.32 [1.10:9.57] for women. Overall mortality of 23% was detected (38% of which was due to cardiovascular etiology). We showed that kidney function declined faster in men, with different risk factors compared to women. Patients with T2D and kidney involvement have very high mortality and an important cardiovascular burden. This cohort is proposed as a great tool for scientific collaboration for studies, whether they are focused on T2D, or whether they are interested in comparing differential markers between diabetic and non-diabetic populations.
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Affiliation(s)
- Adriana Sierra
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - Sol Otero
- Department of Nephrology, Consorci Sanitari Alt Penedès-Garraf, 08800 Barcelona, Spain;
| | - Eva Rodríguez
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - Anna Faura
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - María Vera
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - Marta Riera
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - Vanesa Palau
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - Xavier Durán
- Methodological and Biostatistical Advisory Service, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (X.D.); (A.C.-G.)
| | - Anna Costa-Garrido
- Methodological and Biostatistical Advisory Service, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (X.D.); (A.C.-G.)
| | - Laia Sans
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - Eva Márquez
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - Vladimir Poposki
- Department of Ophthalmology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain;
| | - Josep Franch-Nadal
- Research Support Unit, University Institute for Research in Primary Care, Jordi Gol (IDIAP Jordi Gol), 08041 Barcelona, Spain; (J.F.-N.); (X.M.)
- Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), 28029 Barcelona, Spain
| | - Xavier Mundet
- Research Support Unit, University Institute for Research in Primary Care, Jordi Gol (IDIAP Jordi Gol), 08041 Barcelona, Spain; (J.F.-N.); (X.M.)
- Departamento de Medicina, Universidad Autonoma de Barcelona, 08193 Bellaterra, Spain
| | - Anna Oliveras
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - Marta Crespo
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - Julio Pascual
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
| | - Clara Barrios
- Department of Nephrology, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques, 08003 Barcelona, Spain; (A.S.); (E.R.); (A.F.); (M.V.); (M.R.); (V.P.); (L.S.); (E.M.); (A.O.); (M.C.); (J.P.)
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Laget J, Duranton F, Argilés À, Gayrard N. Renal insufficiency and chronic kidney disease – Promotor or consequence of pathological post-translational modifications. Mol Aspects Med 2022; 86:101082. [DOI: 10.1016/j.mam.2022.101082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/27/2022] [Accepted: 02/03/2022] [Indexed: 12/12/2022]
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Abstract
Glycosylation, one of the most common post-translational modifications in mammalian cells, impacts many biological processes such as cell adhesion, proliferation and differentiation. As the most abundant glycoprotein in human serum, immunoglobulin G (IgG) plays a vital role in immune response and protection. There is a growing body of evidence suggests that IgG structure and function are modulated by attached glycans, especially N-glycans, and aberrant glycosylation is associated with disease states. In this chapter, we review IgG glycan repertoire and function, strategies for profiling IgG N-glycome and recent studies. Mass spectrometry (MS) based techniques are the most powerful tools for profiling IgG glycome. IgG glycans can be divided into high-mannose, biantennary complex and hybrid types, modified with mannosylation, core-fucosylation, galactosylation, bisecting GlcNAcylation, or sialylation. Glycosylation of IgG affects antibody half-life and their affinity and avidity for antigens, regulates crystallizable fragment (Fc) structure and Fcγ receptor signaling, as well as antibody effector function. Because of their critical roles, IgG N-glycans appear to be promising biomarkers for various disease states. Specific IgG glycosylation can convert a pro-inflammatory response to an anti-inflammatory activity. Accordingly, IgG glycoengineering provides a powerful approach to potentially develop effective drugs and treat disease. Based on the understanding of the functional role of IgG glycans, the development of vaccines with enhanced capacity and long-term protection are possible in the near future.
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Memarian E, 't Hart LM, Slieker RC, Lemmers RFL, van der Heijden AA, Rutters F, Nijpels G, Schoep E, Lieverse AG, Sijbrands EJG, Wuhrer M, van Hoek M, Dotz V. Plasma protein N-glycosylation is associated with cardiovascular disease, nephropathy, and retinopathy in type 2 diabetes. BMJ Open Diabetes Res Care 2021; 9:e002345. [PMID: 34645615 PMCID: PMC8515459 DOI: 10.1136/bmjdrc-2021-002345] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 09/29/2021] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Although associations of total plasma N-glycome (TPNG) with type 2 diabetes have been reported, little is known on the role of TPNG in type 2 diabetes complications, a major cause of type 2 diabetes-related morbidity and mortality. Here, we assessed TPNG in relation to type 2 diabetes complications in subsamples of two Dutch cohorts using mass spectrometry (n=1815 in DiaGene and n=1518 in Hoorn Diabetes Care System). RESEARCH DESIGN AND METHODS Blood plasma samples and technical replicates were pipetted into 96-well plates in a randomized manner. Peptide:N-glycosidase F (PNGase F) was used to release N-glycans, whereafter sialic acids were derivatized for stabilization and linkage differentiation. After total area normalization, 68 individual glycan compositions were quantified in total and were used to calculate 45 derived traits which reflect structural features of glycosylation. Associations of glycan features with prevalent and incident microvascular or macrovascular complications were tested in logistic and Cox regression in both independent cohorts and the results were meta-analyzed. RESULTS Our results demonstrated similarities between incident and prevalent complications. The strongest association for prevalent cardiovascular disease was a high level of bisection on a group of diantennary glycans (A2FS0B; OR=1.38, p=1.34×10-11), while for prevalent nephropathy the increase in 2,6-sialylation on triantennary glycans was most pronounced (A3E; OR=1.28, p=9.70×10-6). Several other TPNG features, including fucosylation, galactosylation, and sialylation, firmly demonstrated associations with prevalent and incident complications of type 2 diabetes. CONCLUSIONS These findings may provide a glance on how TPNG patterns change before complications emerge, paving the way for future studies on prediction biomarkers and potentially disease mechanisms.
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Affiliation(s)
- Elham Memarian
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Leen M 't Hart
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, location VUmc, Amsterdam, The Netherlands
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Roderick C Slieker
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, location VUmc, Amsterdam, The Netherlands
| | - Roosmarijn F L Lemmers
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | - Amber A van der Heijden
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of General Practice Medicine, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Femke Rutters
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Giel Nijpels
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of General Practice Medicine, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Emma Schoep
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Aloysius G Lieverse
- Department of Internal Medicine, Maxima Medical Center, Eindhoven, The Netherlands
| | - Eric J G Sijbrands
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Mandy van Hoek
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | - Viktoria Dotz
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
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Dotz V, Visconti A, Lomax-Browne HJ, Clerc F, Hipgrave Ederveen AL, Medjeral-Thomas NR, Cook HT, Pickering MC, Wuhrer M, Falchi M. O- and N-Glycosylation of Serum Immunoglobulin A is Associated with IgA Nephropathy and Glomerular Function. J Am Soc Nephrol 2021; 32:2455-2465. [PMID: 34127537 PMCID: PMC8722783 DOI: 10.1681/asn.2020081208] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 05/05/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND IgA nephropathy (IgAN) is the most common primary glomerular disease worldwide and is a leading cause of renal failure. The disease mechanisms are not completely understood, but a higher abundance of galactose-deficient IgA is recognized to play a crucial role in IgAN pathogenesis. Although both types of human IgA (IgA1 and IgA2) have several N-glycans as post-translational modification, only IgA1 features extensive hinge-region O-glycosylation. IgA1 galactose deficiency on the O-glycans is commonly detected by a lectin-based method. To date, limited detail is known about IgA O- and N-glycosylation in IgAN. METHODS To gain insights into the complex O- and N-glycosylation of serum IgA1 and IgA2 in IgAN, we used liquid chromatography-mass spectrometry (LC-MS) for the analysis of tryptic glycopeptides of serum IgA from 83 patients with IgAN and 244 age- and sex-matched healthy controls. RESULTS Multiple structural features of N-glycosylation of IgA1 and IgA2 were associated with IgAN and glomerular function in our cross-sectional study. These features included differences in galactosylation, sialylation, bisection, fucosylation, and N-glycan complexity. Moreover, IgA1 O-glycan sialylation was associated with both the disease and glomerular function. Finally, glycopeptides were a better predictor of IgAN and glomerular function than galactose-deficient IgA1 levels measured by lectin-based ELISA. CONCLUSIONS Our high-resolution data suggest that IgA O- and N-glycopeptides are promising targets for future investigations on the pathophysiology of IgAN and as potential noninvasive biomarkers for disease prediction and deteriorating kidney function.
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Affiliation(s)
- Viktoria Dotz
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Alessia Visconti
- Department of Twin Research & Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Hannah J. Lomax-Browne
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Florent Clerc
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Nicholas R. Medjeral-Thomas
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - H. Terence Cook
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Matthew C. Pickering
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Mario Falchi
- Department of Twin Research & Genetic Epidemiology, King’s College London, London, United Kingdom
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Clinical Mass Spectrometry Discovered Human IgG Sialylation as a Potential Biosignature for Kidney Function. J Pers Med 2021; 11:jpm11080761. [PMID: 34442405 PMCID: PMC8401842 DOI: 10.3390/jpm11080761] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 07/27/2021] [Accepted: 07/28/2021] [Indexed: 02/06/2023] Open
Abstract
Immunoglobulin G (IgG) N-glycosylation was discovered to have an association with inflammation status, which has the potential to be a novel biomarker for kidney diseases. In this study, we applied an ultra-high performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS) method to plasma and urine samples from 57 individuals with different levels of kidney function. Natural abundances of total IgG, IgG1, IgG2, and IgG3 subclasses in plasma showed positive correlations to the estimated glomerular filtration rates (eGFRs). Eighteen IgG glycopeptides also showed positive correlations. In contrast, higher IgG amounts were found in urine samples from participants with lower eGFR values. After normalizing IgG glycopeptides from plasma to their respective protein amounts, H4N4F1S1-IgG1 (r = 0.37, p = 0.0047, significant) and H5N4F1S1-IgG1 (r = 0.25, p = 0.063, marginally significant) were the two glycopeptides that still had positive correlations with eGFRs. The results showed that the UHPLC-MS/MS method is capable of investigating IgG profiles, and monitoring IgG and glycosylation patterns is worthy of further clinical application for kidney disease.
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Paton B, Suarez M, Herrero P, Canela N. Glycosylation Biomarkers Associated with Age-Related Diseases and Current Methods for Glycan Analysis. Int J Mol Sci 2021; 22:ijms22115788. [PMID: 34071388 PMCID: PMC8198018 DOI: 10.3390/ijms22115788] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/22/2021] [Accepted: 05/25/2021] [Indexed: 12/23/2022] Open
Abstract
Ageing is a complex process which implies the accumulation of molecular, cellular and organ damage, leading to an increased vulnerability to disease. In Western societies, the increase in the elderly population, which is accompanied by ageing-associated pathologies such as cardiovascular and mental diseases, is becoming an increasing economic and social burden for governments. In order to prevent, treat and determine which subjects are more likely to develop these age-related diseases, predictive biomarkers are required. In this sense, some studies suggest that glycans have a potential role as disease biomarkers, as they modify the functions of proteins and take part in intra- and intercellular biological processes. As the glycome reflects the real-time status of these interactions, its characterisation can provide potential diagnostic and prognostic biomarkers for multifactorial diseases. This review gathers the alterations in protein glycosylation profiles that are associated with ageing and age-related diseases, such as cancer, type 2 diabetes mellitus, metabolic syndrome and several chronic inflammatory diseases. Furthermore, the review includes the available techniques for the determination and characterisation of glycans, such as liquid chromatography, electrophoresis, nuclear magnetic resonance and mass spectrometry.
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Affiliation(s)
- Beatrix Paton
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences, Joint Unit Eurecat-Universitat Rovira i Virgili, Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain; (B.P.); (N.C.)
| | - Manuel Suarez
- Nutrigenomics Research Group, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- Correspondence: (M.S.); (P.H.)
| | - Pol Herrero
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences, Joint Unit Eurecat-Universitat Rovira i Virgili, Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain; (B.P.); (N.C.)
- Correspondence: (M.S.); (P.H.)
| | - Núria Canela
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences, Joint Unit Eurecat-Universitat Rovira i Virgili, Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain; (B.P.); (N.C.)
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Adua E, Memarian E, Afrifa-Yamoah E, Russell A, Trbojević-Akmačić I, Gudelj I, Jurić J, Roberts P, Lauc G, Wang W. N-glycosylation profiling of Type 2 diabetes mellitus from baseline to follow-up: an observational study in a Ghanaian population. Biomark Med 2021; 15:467-480. [PMID: 33856266 DOI: 10.2217/bmm-2020-0615] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Aim: The study sought to determine the patterns of N-glycan profiles among Type 2 diabetes mellitus (T2DM) patients over a 6-month period. Materials & methods: Biochemical and clinical data were obtained from 253 T2DM patients at baseline and follow-up. Ultra-performance liquid chromatography and statistical methods were applied for N-glycan profiling. Results: The coefficients of variation were 28% and 29% at baseline and follow-up, respectively, whereas the range of N-glycan variability was from 11% to 56%. Apart from GP1 (FA2) and GP29 (FA3G3S [3,3,3]3), the intra-individual variations of N-glycan peaks were not statistically significant. Conclusion: N-glycan profiles were stable over 6-month period in T2DM patients and could be used to monitor biochemical changes in relation with T2DM comorbidities.
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Affiliation(s)
- Eric Adua
- School of Medical & Health Sciences, Edith Cowan University, WA, 6027, Australia.,Department of Health Sciences, Edith Cowan College, Building 80 Joondalup Campus West, WA, Australia.,Department of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Elham Memarian
- Genos Glycoscience Research Laboratory, Zagreb, 10000, Croatia
| | | | - Alyce Russell
- School of Medical & Health Sciences, Edith Cowan University, WA, 6027, Australia
| | | | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb, 10000, Croatia
| | - Julija Jurić
- Genos Glycoscience Research Laboratory, Zagreb, 10000, Croatia
| | - Peter Roberts
- School of Medical & Health Sciences, Edith Cowan University, WA, 6027, Australia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, 10000, Croatia.,Faculty of Pharmacy & Biochemistry, University of Zagreb, Zagreb, 10000, Croatia
| | - Wei Wang
- School of Medical & Health Sciences, Edith Cowan University, WA, 6027, Australia.,School of Public Health, Taishan Medical University, Taian, Shandong, 271000, China.,Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China
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20
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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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21
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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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22
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Cajic S, Hennig R, Burock R, Rapp E. Capillary (Gel) Electrophoresis-Based Methods for Immunoglobulin (G) Glycosylation Analysis. EXPERIENTIA SUPPLEMENTUM (2012) 2021; 112:137-172. [PMID: 34687009 DOI: 10.1007/978-3-030-76912-3_4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The in-depth characterization of protein glycosylation has become indispensable in many research fields and in the biopharmaceutical industry. Especially knowledge about modulations in immunoglobulin G (IgG) N-glycosylation and their effect on immunity enabled a better understanding of human diseases and the development of new, more effective drugs for their treatment. This chapter provides a deeper insight into capillary (gel) electrophoresis-based (C(G)E) glycan analysis, addressing its impressive performance and possibilities, its great potential regarding real high-throughput for large cohort studies, as well as its challenges and limitations. We focus on the latest developments with respect to miniaturization and mass spectrometry coupling, as well as data analysis and interpretation. The use of exoglycosidase sequencing in combination with current C(G)E technology is discussed, highlighting possible difficulties and pitfalls. The application section describes the detailed characterization of N-glycosylation, utilizing multiplexed CGE with laser-induced fluorescence detection (xCGE-LIF). Besides a comprehensive overview on antibody glycosylation by comparing species-specific IgGs and human immunoglobulins A, D, E, G, and M, the chapter comprises a comparison of therapeutic monoclonal antibodies from different production cell lines, as well as a detailed characterization of Fab and Fc glycosylation. These examples illustrate the full potential of C(G)E, resolving the smallest differences in sugar composition and structure.
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Affiliation(s)
- Samanta Cajic
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - René Hennig
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
- glyXera GmbH, Magdeburg, Germany.
| | | | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
- glyXera GmbH, Magdeburg, Germany
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23
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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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24
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Li X, Wang H, Zhu Y, Cao W, Song M, Wang Y, Hou H, Lang M, Guo X, Tan X, Han JJ, Wang W. Heritability Enrichment of Immunoglobulin G N-Glycosylation in Specific Tissues. Front Immunol 2021; 12:741705. [PMID: 34804021 PMCID: PMC8595136 DOI: 10.3389/fimmu.2021.741705] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 10/12/2021] [Indexed: 02/05/2023] Open
Abstract
Genome-wide association studies (GWAS) have identified over 60 genetic loci associated with immunoglobulin G (IgG) N-glycosylation; however, the causal genes and their abundance in relevant tissues are uncertain. Leveraging data from GWAS summary statistics for 8,090 Europeans, and large-scale expression quantitative trait loci (eQTL) data from the genotype-tissue expression of 53 types of tissues (GTEx v7), we derived a linkage disequilibrium score for the specific expression of genes (LDSC-SEG) and conducted a transcriptome-wide association study (TWAS). We identified 55 gene associations whose predicted levels of expression were significantly associated with IgG N-glycosylation in 14 tissues. Three working scenarios, i.e., tissue-specific, pleiotropic, and coassociated, were observed for candidate genetic predisposition affecting IgG N-glycosylation traits. Furthermore, pathway enrichment showed several IgG N-glycosylation-related pathways, such as asparagine N-linked glycosylation, N-glycan biosynthesis and transport to the Golgi and subsequent modification. Through phenome-wide association studies (PheWAS), most genetic variants underlying TWAS hits were found to be correlated with health measures (height, waist-hip ratio, systolic blood pressure) and diseases, such as systemic lupus erythematosus, inflammatory bowel disease, and Parkinson's disease, which are related to IgG N-glycosylation. Our study provides an atlas of genetic regulatory loci and their target genes within functionally relevant tissues, for further studies on the mechanisms of IgG N-glycosylation and its related diseases.
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Affiliation(s)
- Xingang Li
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Hao Wang
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Yahong Zhu
- Beijing Lucidus Bioinformation Technology Co., Ltd., Beijing, China
| | - Weijie Cao
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Manshu Song
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- 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
| | - Haifeng Hou
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
| | - Minglin Lang
- Chinese Academy of Sciences (CAS) Center for Excellence in Biotic Interactions, College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Xiuhua Guo
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xuerui Tan
- The First Affiliated Hospital, Shantou University Medical College, Shantou, China
| | - Jingdong J. Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China
| | - Wei Wang
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
- The First Affiliated Hospital, Shantou University Medical College, Shantou, China
- *Correspondence: Wei Wang,
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25
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Yu H, Wang J, Tang Z, Li X, Yin M, Zhang F, Shu J, Chen W, Yang S, Li Z. Integrated glycomics strategy for the evaluation of glycosylation alterations in salivary proteins associated with type 2 diabetes mellitus. RSC Adv 2020; 10:39739-39752. [PMID: 35515389 PMCID: PMC9057417 DOI: 10.1039/d0ra05466f] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 10/10/2020] [Indexed: 12/25/2022] Open
Abstract
Glycosylation is involved in several biological processes, and its alterations can reflect the process of certain diseases. Type 2 diabetes mellitus (T2DM) has attained the status of a global pandemic; however, the difference in salivary protein glycosylation between healthy subjects and patients with T2DM has not been fully understood. In the present study, salivary specimens from patients with T2DM (n = 72) and healthy volunteers (HVs, n = 80) were enrolled and divided into discovery and validation cohorts. A method combining the lectin microarray and lectin blotting was employed to investigate and confirm the altered glycopatterns in salivary glycoproteins. Then, lectin-mediated affinity capture of glycoproteins and MALDI-TOF/TOF-MS were performed to obtain the precise structural information of the altered glycans. As a result, the glycopatterns recognized by 5 lectins (LEL, VVA, Jacalin, RCA120 and DSA) showed significant alteration in the saliva of T2DM patients. Notably, the glycopattern of Galβ-1,4GlcNAc (LacNAc) recognized by LEL exhibited a significant increase in T2DM patients compared to HVs in both discovery and validation cohorts. The MALDI-TOF/TOF-MS results indicated that there were 10 and 7 LacNAc-containing N/O-glycans (e.g. m/z 1647.586, 11 688.613 and 1562.470) that were identified only in T2DM patients. Besides, the relative abundance of 3 LacNAc-containing N-glycans and 10 LacNAc-containing O-glycans showed an increase in the glycopattern in T2DM patients. These results indicated that the glycopattern of LacNAc is increased in salivary glycoproteins from T2DM patients, and an increase in LacNAc-containing N/O-glycans may contribute to this alteration. Our findings provide useful information to understand the complex physiological changes in the T2DM patients.
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Affiliation(s)
- Hanjie Yu
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University No. 229 Taibai Beilu Xi'an 710069 China
| | - Junhong Wang
- Department of Endocrinology, Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004 China
| | - Zhen Tang
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University No. 229 Taibai Beilu Xi'an 710069 China
| | - Xia Li
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University No. 229 Taibai Beilu Xi'an 710069 China
| | - Mengqi Yin
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University No. 229 Taibai Beilu Xi'an 710069 China
| | - Fan Zhang
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University No. 229 Taibai Beilu Xi'an 710069 China
| | - Jian Shu
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University No. 229 Taibai Beilu Xi'an 710069 China
| | - Wentian Chen
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University No. 229 Taibai Beilu Xi'an 710069 China
| | - Shuang Yang
- Department of Pharmaceutical Analysis, School of Pharmaceutical Sciences, Soochow University Suzhou Jiangsu China
| | - Zheng Li
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University No. 229 Taibai Beilu Xi'an 710069 China
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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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Baralić M, Gligorijević N, Brković V, Katrlík J, Pažitná L, Šunderić M, Miljuš G, Penezić A, Dobrijević Z, Laušević M, Nedić O, Robajac D. Fibrinogen Fucosylation as a Prognostic Marker of End-Stage Renal Disease in Patients on Peritoneal Dialysis. Biomolecules 2020; 10:E1165. [PMID: 32784866 PMCID: PMC7466146 DOI: 10.3390/biom10081165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/01/2020] [Accepted: 08/06/2020] [Indexed: 12/22/2022] Open
Abstract
Glycosylation may strongly affect protein structure and functions. A high risk of cardiovascular complications seen in patients with end-stage renal disease (ESRD) is, at least partly associated with delayed clot formation, increased clot strength, and delayed cloth lysis. Taking into consideration that fibrinogen mediates these processes, we isolated fibrinogen from the plasma from patients with ESRD on peritoneal dialysis (ESRD-PD), and examined glycosylation of native fibrinogen and its subunits by lectin-based microarray and lectin blotting. Compared to healthy controls, fibrinogen from patients had increased levels of A2BG2 and decreased levels of FA2 glycan. The distribution of glycans on individual chains was also affected, with the γ chain, responsible for physiological functions of fibrinogen (such as coagulation and platelet aggregation), being most prone to these alterations. Increased levels of multi-antennary N-glycans in ESRD-PD patients were also associated with the type of dialysis solutions, whereas an increase in the fucosylation levels was strongly related to the peritoneal membrane damage. Consequently, investigation of fibrinogen glycans can offer better insight into fibrinogen-related complications observed in ESRD-PD patients and, additionally, contribute to prognosis, choice of personalised therapy, determination of peritoneal membrane damage, and the length of utilization of peritoneum for dialysis.
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Affiliation(s)
- Marko Baralić
- Department of Nephrology, Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.B.); (V.B.); (M.L.)
| | - Nikola Gligorijević
- Department of Metabolism, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, 11080 Belgrade, Serbia; (N.G.); (M.Š.); (G.M.); (A.P.); (Z.D.); (O.N.)
| | - Voin Brković
- Department of Nephrology, Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.B.); (V.B.); (M.L.)
- School of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Jaroslav Katrlík
- Institute of Chemistry, Slovak Academy of Sciences, 84538 Bratislava, Slovakia; (J.K.); (L.P.)
| | - Lucia Pažitná
- Institute of Chemistry, Slovak Academy of Sciences, 84538 Bratislava, Slovakia; (J.K.); (L.P.)
| | - Miloš Šunderić
- Department of Metabolism, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, 11080 Belgrade, Serbia; (N.G.); (M.Š.); (G.M.); (A.P.); (Z.D.); (O.N.)
| | - Goran Miljuš
- Department of Metabolism, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, 11080 Belgrade, Serbia; (N.G.); (M.Š.); (G.M.); (A.P.); (Z.D.); (O.N.)
| | - Ana Penezić
- Department of Metabolism, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, 11080 Belgrade, Serbia; (N.G.); (M.Š.); (G.M.); (A.P.); (Z.D.); (O.N.)
| | - Zorana Dobrijević
- Department of Metabolism, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, 11080 Belgrade, Serbia; (N.G.); (M.Š.); (G.M.); (A.P.); (Z.D.); (O.N.)
| | - Mirjana Laušević
- Department of Nephrology, Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.B.); (V.B.); (M.L.)
- School of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Olgica Nedić
- Department of Metabolism, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, 11080 Belgrade, Serbia; (N.G.); (M.Š.); (G.M.); (A.P.); (Z.D.); (O.N.)
| | - Dragana Robajac
- Department of Metabolism, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, 11080 Belgrade, Serbia; (N.G.); (M.Š.); (G.M.); (A.P.); (Z.D.); (O.N.)
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28
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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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29
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McLean MR, Lu LL, Kent SJ, Chung AW. An Inflammatory Story: Antibodies in Tuberculosis Comorbidities. Front Immunol 2019; 10:2846. [PMID: 31921122 PMCID: PMC6913197 DOI: 10.3389/fimmu.2019.02846] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 11/19/2019] [Indexed: 12/20/2022] Open
Abstract
Mycobacterium tuberculosis (Mtb) resides in a quarter of the world's population and is the causative agent for tuberculosis (TB), the most common infectious reason of death in humans today. Although cellular immunity has been firmly established in the control of Mtb, there is growing evidence that antibodies may also modulate the infection. More specifically, certain antibody features are associated with inflammation and are divergent in different states of human infection and disease. Importantly, TB impacts not just the healthy but also those with chronic conditions. While HIV represents the quintessential comorbid condition for TB, recent epidemiological evidence shows that additional chronic conditions such as diabetes and kidney disease are rising. In fact, the prevalence of diabetes as a comorbid TB condition is now higher than that of HIV. These chronic diseases are themselves independently associated with pro-inflammatory immune states that encompass antibody profiles. This review discusses isotypes, subclasses, post-translational modifications and Fc-mediated functions of antibodies in TB infection and in the comorbid chronic conditions of HIV, diabetes, and kidney diseases. We propose that inflammatory antibody profiles, which are a marker of active TB, may be an important biomarker for detection of TB disease progression within comorbid individuals. We highlight the need for future studies to determine which inflammatory antibody profiles are the consequences of comorbidities and which may potentially contribute to TB reactivation.
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Affiliation(s)
- Milla R McLean
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Lenette L Lu
- Division of Infectious Disease and Geographic Medicine, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Stephen J Kent
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.,Infectious Diseases Department, Melbourne Sexual Health Centre, Alfred Health, Central Clinical School, Monash University, Brisbane, VIC, Australia.,ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of Melbourne, Melbourne, SA, 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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30
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Li X, Wang H, Russell A, Cao W, Wang X, Ge S, Zheng Y, Guo Z, Hou H, Song M, Yu X, Wang Y, Hunter M, Roberts P, Lauc G, Wang W. Type 2 Diabetes Mellitus is Associated with the Immunoglobulin G N-Glycome through Putative Proinflammatory Mechanisms in an Australian Population. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2019; 23:631-639. [PMID: 31526239 DOI: 10.1089/omi.2019.0075] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Type 2 diabetes mellitus (T2DM) is a common complex trait arising from interactions among multiple environmental, genomic, and postgenomic factors. We report here the first attempt to investigate the association between immunoglobulin G (IgG) N-glycan patterns, T2DM, and their clinical risk factors in an Australian population. N-glycosylation of proteins is one of the most frequently observed co- and post-translational modifications, reflecting, importantly, the real-time status of the interplay between the genomic and postgenomic factors. In a community-based case-control study, 849 participants (217 cases and 632 controls) were recruited from an urban community in Busselton, Western Australia. We applied the ultraperformance liquid chromatography method to analyze the composition of IgG N-glycans. We then conducted Spearman's correlation analyses to explore the association between glycan biomarker candidates and clinical risk factors. We performed area under the curve (AUC) analysis of the receiver operating characteristic curves by fivefold cross-validation for clinical risk factors, IgG glycans, and their combination. Two directly measured and four derived glycan peaks were significantly associated with T2DM, after correction for extensive clinical confounders and false discovery rate, thus suggesting that IgG N-glycan traits are highly correlated with T2DM clinical risk factors. Moreover, adding the IgG glycan profiles to fasting blood glucose in the logistic regression model increased the AUC from 0.799 to 0.859. The AUC for IgG glycans alone was 0.623 with a 95% confidence interval 0.580-0.666. In addition, our study provided new evidence of diversity in T2DM complex trait by IgG N-glycan stratification. Six IgG glycan traits were firmly associated with T2DM, which reflects an increased proinflammatory and biological aging status. In summary, our study reports novel associations between the IgG N-glycome and T2DM in an Australian population and the putative role of proinflammatory mechanisms. Furthermore, IgG N-glycomic alterations offer future prospects as inflammatory biomarker candidates for T2DM diagnosis, and monitoring of T2DM progression to cardiovascular disease or renal failure.
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Affiliation(s)
- Xingang Li
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Hao Wang
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Alyce Russell
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- School of Population and Global Health, University of Western Australia, Crawley, Australia
| | - Weijie Cao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xueqing Wang
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Siqi Ge
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Yulu Zheng
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Zheng Guo
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Haifeng Hou
- School of Public Health, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian, China
| | - Manshu Song
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xinwei Yu
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- Tiantan Hospital, Capital Medical University, Beijing, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Michael Hunter
- School of Population and Global Health, University of Western Australia, Crawley, Australia
- Busselton Health Study Centre, Busselton Population Medical Research Institute, Busselton, Australia
| | - Peter Roberts
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, BIOCentar, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Wei Wang
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- School of Public Health, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian, China
- The First Affiliated Hospital, Shantou University Medical College, Shantou, China
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Liu D, Li Q, Zhang X, Wang H, Cao W, Li D, Xing W, Song M, Wang W, Meng Q, Wang Y. Systematic Review: Immunoglobulin G N-Glycans as Next-Generation Diagnostic Biomarkers for Common Chronic Diseases. ACTA ACUST UNITED AC 2019; 23:607-614. [DOI: 10.1089/omi.2019.0032] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Di Liu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Qihuan Li
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xiaoyu 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
| | - Weijie Cao
- 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 & Shandong Academy of Medical Sciences, Taian, China
| | - Weijia Xing
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - 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
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Qun Meng
- 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
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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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Yau LF, Liu J, Jiang M, Bai G, Wang JR, Jiang ZH. An integrated approach for comprehensive profiling and quantitation of IgG-Fc glycopeptides with application to rheumatoid arthritis. J Chromatogr B Analyt Technol Biomed Life Sci 2019; 1122-1123:64-72. [DOI: 10.1016/j.jchromb.2019.05.027] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 05/22/2019] [Accepted: 05/26/2019] [Indexed: 11/29/2022]
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Suhre K, Trbojević-Akmačić I, Ugrina I, Mook-Kanamori DO, Spector T, Graumann J, Lauc G, Falchi M. Fine-Mapping of the Human Blood Plasma N-Glycome onto Its Proteome. Metabolites 2019; 9:metabo9070122. [PMID: 31247951 PMCID: PMC6681129 DOI: 10.3390/metabo9070122] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 06/21/2019] [Accepted: 06/24/2019] [Indexed: 12/25/2022] Open
Abstract
Most human proteins are glycosylated. Attachment of complex oligosaccharides to the polypeptide part of these proteins is an integral part of their structure and function and plays a central role in many complex disorders. One approach towards deciphering this human glycan code is to study natural variation in experimentally well characterized samples and cohorts. High-throughput capable large-scale methods that allow for the comprehensive determination of blood circulating proteins and their glycans have been recently developed, but so far, no study has investigated the link between both traits. Here we map for the first time the blood plasma proteome to its matching N-glycome by correlating the levels of 1116 blood circulating proteins with 113 N-glycan traits, determined in 344 samples from individuals of Arab, South-Asian, and Filipino descent, and then replicate our findings in 46 subjects of European ancestry. We report protein-specific N-glycosylation patterns, including a correlation of core fucosylated structures with immunoglobulin G (IgG) levels, and of trisialylated, trigalactosylated, and triantennary structures with heparin cofactor 2 (SERPIND2). Our study reveals a detailed picture of protein N-glycosylation and suggests new avenues for the investigation of its role and function in the associated complex disorders.
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Affiliation(s)
- Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, PO 24144, Doha, Qatar.
| | - Irena Trbojević-Akmačić
- Genos Ltd, Glycoscience Research Laboratory, BICRO BIOCentar, Borongajska cesta 83H, 10000 Zagreb, Croatia
| | - Ivo Ugrina
- Genos Ltd, Glycoscience Research Laboratory, BICRO BIOCentar, Borongajska cesta 83H, 10000 Zagreb, Croatia
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Centre, P.O. Box 9600, 2300 RC Leiden, The Netherlands
| | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, SE1 7EHLondon, UK
| | - Johannes Graumann
- Scientific Service Group Biomolecular Mass Spectrometry, Max Planck Institute for Heart and Lung Research, W.G. Kerckhoff Institute, Ludwigstr. 43, D-61231 Bad Nauheim, Germany
| | - Gordan Lauc
- Genos Ltd, Glycoscience Research Laboratory, BICRO BIOCentar, Borongajska cesta 83H, 10000 Zagreb, Croatia
| | - Mario Falchi
- Department of Twin Research and Genetic Epidemiology, King's College London, SE1 7EHLondon, UK
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The potential of N-glycosylation profiles as biomarkers for monitoring the progression of Type II diabetes mellitus towards diabetic kidney disease. J Diabetes Metab Disord 2018; 17:233-246. [PMID: 30918859 DOI: 10.1007/s40200-018-0365-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 11/01/2018] [Indexed: 12/21/2022]
Abstract
Background On a global scale, type II diabetes mellitus (T2DM) remain a major health problem and it is the driver for chronic kidney disease (CKD). Despite this association, we still do not have sufficient biomarkers to anticipate better outcomes. N-glycosylation profiles are robust biomarkers and can be used for early monitoring of the progression of T2DM towards CKD. Methods In this cross-sectional study, we recruited 241 T2DM patients from January to May 2016. Demographic and anthropometric data were collected, following which fasting blood samples were collected for clinical analyses. Renal function decline was determined by estimation of glomerular filtration rate (eGFR) and N-glycosylation profiles were analysed by Ultra-performance liquid chromatography (UPLC). Results The prevalence of undiagnosed CKD was 31.53%. Compared to men, women had a statistically significantly higher HbA1c (p = 0.031), TG (p = 0.015), HDL-c (p < 0.0001), creatinine (<0.0001), urea (p < 0.028) and uric acid (p < 0.0001). T2DM patients with undiagnosed CKD had higher serum creatinine (145.75 ± 50.83 vs 88.59 ± 19.46, p < 0.0001), higher uric acid (361.10 ± 115.37 vs 294.54 ± 97.75; p < 0.0001) and higher urea (5.17 ± 2.35 vs 3.58 ± 1.19; p < 0.0001). After performing logistic regression and adjusting for age, sex and BMI, three N-glycan peaks [OR (95%CI): (GP12 (0.05(0.01-0.54), p = 0.013)); GP16 (0.61(0.43-0.87), p = 0.006)); GP22 (0.60(0.39-0.92), p = 0.018)) were associated with renal function. Conclusion There was an increased prevalence of undiagnosed CKD among T2DM patients. This prevalence is the consequence of uncontrolled modifiable risk factors, which collectively may lead to end stage renal disease (ESRD). Although, the identified N-glycans could not adequately predict incident CKD, our investigation indicates the potential role of N-glycosylation in renal function and that their inclusion may improve risk stratification for CKD.
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36
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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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Lauc G, Vučković F, Bondt A, Pezer M, Wuhrer M. Trace N-glycans including sulphated species may originate from various plasma glycoproteins and not necessarily IgG. Nat Commun 2018; 9:2916. [PMID: 30046098 PMCID: PMC6060135 DOI: 10.1038/s41467-018-05173-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Accepted: 06/14/2018] [Indexed: 11/21/2022] Open
Affiliation(s)
- Gordan Lauc
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovacica 1, 10000, Zagreb, Croatia. .,Genos Glycoscience Research Laboratory, Borongajska 83H, 10000, Zagreb, Croatia.
| | - Frano Vučković
- Genos Glycoscience Research Laboratory, Borongajska 83H, 10000, Zagreb, Croatia
| | - Albert Bondt
- Center for Proteomics and Metabolomics, Leiden University Medical Centre, Zone S3, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Marija Pezer
- Genos Glycoscience Research Laboratory, Borongajska 83H, 10000, Zagreb, Croatia
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Centre, Zone S3, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
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38
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Wang JR, Gao WN, Grimm R, Jiang S, Liang Y, Ye H, Li ZG, Yau LF, Huang H, Liu J, Jiang M, Meng Q, Tong TT, Huang HH, Lee S, Zeng X, Liu L, Jiang ZH. Reply to 'Trace N-glycans including sulphated species may originate from various plasma glycoproteins and not necessarily IgG'. Nat Commun 2018; 9:2915. [PMID: 30046037 PMCID: PMC6060093 DOI: 10.1038/s41467-018-05082-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 06/14/2018] [Indexed: 12/26/2022] Open
Affiliation(s)
- Jing-Rong Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
- Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
| | - Wei-Na Gao
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
- Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
| | - Rudolf Grimm
- Agilent Technologies, 5301 Stevens Creek Blvd, Santa Clara, CA, 95051, USA
| | - Shibo Jiang
- Key Labortory of Medical Molecular Virology of Ministries of Education and Health, Basic Medical College, Fudan University, Shanghai, 200032, China
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, 10065, USA
| | - Yong Liang
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
- Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
| | - Hua Ye
- Department of Rheumatology and Immunology, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100044, China
| | - Zhan-Guo Li
- Department of Rheumatology and Immunology, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100044, China
| | - Lee-Fong Yau
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
- Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
| | - Hao Huang
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
- Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
| | - Ju Liu
- Division of Rheumatology, Jiujiang First People's Hospital, Taling North Road 48, Jiujiang, 332000, China
| | - Min Jiang
- Division of Rheumatology, Jiujiang First People's Hospital, Taling North Road 48, Jiujiang, 332000, China
| | - Qiong Meng
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
- Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
| | - Tian-Tian Tong
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
- Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
| | - Hai-Hui Huang
- Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
| | - Stephanie Lee
- Agilent Technologies Hong Kong Ltd., Suite 2603, 26/F, AXA Tower, Landmark East, Kwun Tong, Hong Kong, China
| | - Xing Zeng
- Guangdong Provincial Hospital of Chinese Medicine, Dade Road 111, Guangzhou, 510120, China
| | - Liang Liu
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China.
| | - Zhi-Hong Jiang
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China.
- Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China.
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Liu D, Zhao Z, Wang A, Ge S, Wang H, Zhang X, Sun Q, Cao W, Sun M, Wu L, Song M, Zhou Y, Wang W, Wang Y. Ischemic stroke is associated with the pro-inflammatory potential of N-glycosylated immunoglobulin G. J Neuroinflammation 2018; 15:123. [PMID: 29699572 PMCID: PMC5921323 DOI: 10.1186/s12974-018-1161-1] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Accepted: 04/17/2018] [Indexed: 01/01/2023] Open
Abstract
Background Glycosylation significantly affects protein structure and function and thus participates in multiple physiologic and pathologic processes. Studies demonstrated that immunoglobulin G (IgG) N-glycosylation associates with the risk factors of ischemic stroke (IS), such as aging, obesity, dyslipidemia, type 2 diabetes, and hypertension. Methods The study aimed to investigate the association between IgG N-glycosylation and IS in a Chinese population. IgG glycome composition in patients with IS (n = 78) and cerebral arterial stenosis (CAS) (n = 75) and controls (n = 77) were analyzed by ultra-performance liquid chromatography. Results Eleven initial glycans and 10 derived glycans in IgG glycome representing galactosylation, sialylation, and bisecting GlcNAc significantly differed between IS patients and CAS and healthy controls after controlling for gender, age, obesity, diabetes, hypertension, and dyslipidemia. Logistic regression models incorporating IgG glycan traits were able to distinguish IS from CAS (area under receiver–operator characteristic curves (AUC), 0.802; 95% confidence interval (CI), 0.732–0.872) and controls (AUC, 0.740; 95% CI, 0.661–0.819). The canonical correlation analysis indicated that initial N-glycan structures are significantly correlated with inflammation markers (r = 0.566, p < 0.001). Conclusion Our findings indicated that loss of galactose and sialic acid, as well as addition of bisecting GlcNAc, might involve in pro- or anti-inflammatory IgG functionality and further contribute to the pathogenesis of IS. IgG glycan profiles may be developed as clinical useful biomarkers for chronic disease in the future. Electronic supplementary material The online version of this article (10.1186/s12974-018-1161-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Di Liu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China
| | - Zhongyao Zhao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China
| | - Anxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Siqi Ge
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, WA, 6027, Australia
| | - Hao Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, WA, 6027, Australia
| | - Xiaoyu Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China
| | - Qi Sun
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China
| | - Weijie Cao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China
| | - Ming Sun
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China
| | - Lijuan Wu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China
| | - Yong Zhou
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, WA, 6027, Australia
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen, Beijing, 100069, China. .,School of Medical and Health Sciences, Edith Cowan University, Perth, WA, 6027, Australia.
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40
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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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41
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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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42
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Kosicek M, Gudelj I, Horvatic A, Jovic T, Vuckovic F, Lauc G, Hecimovic S. N-glycome of the Lysosomal Glycocalyx is Altered in Niemann-Pick Type C Disease (NPC) Model Cells. Mol Cell Proteomics 2018; 17:631-642. [PMID: 29367433 DOI: 10.1074/mcp.ra117.000129] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 12/18/2017] [Indexed: 12/17/2022] Open
Abstract
Increasing evidence implicates lysosomal dysfunction in the pathogenesis of neurodegenerative diseases, including the rare inherited lysosomal storage disorders (LSDs) and the most common neurodegenerative diseases, such as Alzheimer's and Parkinson's disease (AD and PD). Although the triggers of the lysosomal impairment may involve the accumulated macromolecules or dysfunction of the lysosomal enzymes, the role of the lysosomal glycocalyx in the lysosomal (dys)function has not been studied. The goal of this work was to analyze whether there are changes in the lysosomal glycocalyx in a cellular model of a LSD Niemann-Pick type C disease (NPC). Using the ferrofluid nanoparticles we isolated lysosomal organelles from NPC1-null and CHOwt cells. The magnetically isolated lysosomal fractions were enriched with the lysosomal marker protein LAMP1 and showed the key features of NPC disease: 3-fold higher cholesterol content and 4-5 fold enlarged size of the particles compared with the lysosomal fractions of wt cells. These lysosomal fractions were further processed to isolate lysosomal membrane proteins using Triton X-114 and their N-glycome was analyzed by HILIC-UPLC. N-glycans presented in each chromatographic peak were elucidated using MALDI-TOF/TOF-MS. We detected changes in the N-glycosylation pattern of the lysosomal glycocalyx of NPC1-null versus wt cells which involved high-mannose and sialylated N-glycans. To the best of our knowledge this study is the first to report N-glycome profiling of the lysosomal glycocalyx in NPC disease cellular model and the first to report the specific changes in the lysosomal glycocalyx in NPC1-null cells. We speculate that changes in the lysosomal glycocalyx may contribute to lysosomal (dys)function. Further glycome profiling of the lysosomal glycocalyx in other LSDs as well as the most common neurodegenerative diseases, such as AD and PD, is necessary to better understand the role of the lysosomal glycocalyx and to reveal its potential contribution in lysosomal dysfunction leading to neurodegeneration.
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Affiliation(s)
- Marko Kosicek
- From the ‡Laboratory for Neurodegenerative Disease Research, Division of Molecular Medicine, Ruđer Bošković Institute, Zagreb, Croatia
| | - Ivan Gudelj
- §Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Anita Horvatic
- ¶ERA Chair team, Internal Diseases Clinic, University of Zagreb, Faculty of Veterinary Medicine, Heinzelova 55, 10000 Zagreb, Croatia
| | - Tanja Jovic
- From the ‡Laboratory for Neurodegenerative Disease Research, Division of Molecular Medicine, Ruđer Bošković Institute, Zagreb, Croatia.,‖University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Frano Vuckovic
- §Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Gordan Lauc
- §Genos Glycoscience Research Laboratory, Zagreb, Croatia.,‖University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Silva Hecimovic
- From the ‡Laboratory for Neurodegenerative Disease Research, Division of Molecular Medicine, Ruđer Bošković Institute, Zagreb, Croatia;
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43
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Yang XL, Yu HJ, Zhu HY, Zheng Y, Han QX, Cai GY, Chen XM. Potential Value of Datura stramonium Agglutinin-recognized Glycopatterns in Urinary Protein on Differential Diagnosis of Diabetic Nephropathy and Nondiabetic Renal Disease. Chin Med J (Engl) 2018; 131:180-187. [PMID: 29336366 PMCID: PMC5776848 DOI: 10.4103/0366-6999.222328] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Diabetic nephropathy (DN) is the most common and serious microvascular complication of diabetes. To date, the gold standard for identifying DN and nondiabetic renal disease (NDRD) is a renal biopsy; however, there is currently no reliable diagnostic marker to identify DN and NDRD in a noninvasive manner. This study aimed to investigate the different glycopatterns in urine specimens of DN patients and NDRD patients for a differential diagnosis. METHODS In total, 19 DN patients and 18 NDRD patients who underwent renal biopsies between March 2015 and March 2016 at the Chinese People's Liberation Army General Hospital were enrolled in this study. A lectin microarray was used to investigate the glycopatterns in the urinary protein of the 37 patients. Ratio analysis and one-way analysis of variance were used to screen altered glycopatterns. Then, the altered glycopatterns between the DN and NDRD groups were verified by a urinary protein microarray among another 32 patients (15 with DN and 17 with NDRD), and receiver operating characteristic (ROC) curve analysis was used to determine the diagnostic value of the altered glycopatterns in differentiating DN and NDRD. Finally, lectin blotting was used to evaluate the altered glycosylation in protein level. RESULTS The result of lectin microarrays revealed that the relative abundance of the (β-1,4)-linked N-acetyl-D-glucosamine (GlcNAc) recognized by lectin Datura stramonium agglutinin (DSA) was significantly higher in urinary protein in DN patients than that in NDRD patients (fold change >1.50, P < 0.001). Subsequently, the results of urinary protein microarrays were consistent with lectin microarrays (P < 0.05). Furthermore, the ROC curve showed that glycopatterns could effectively distinguish DN from NDRD patients (area under the ROC curve = 0.94, P < 0.001). DSA lectin blotting showed that glycoproteins, with a molecular weight of approximately 50,000, demonstrated a difference in urine samples between DN patients and NDRD patients. CONCLUSIONS The relative abundance of (β-1,4)-linked GlcNAc recognized by lectin DSA and urinary glycoprotein with a molecular weight of approximately 50,000 are significantly different between DN and NDRD patients, indicating that the glycopatterns could be used as potential biomarkers for a differential diagnosis.
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Affiliation(s)
- Xiao-Li Yang
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases (2011DAV00088), National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Han-Jie Yu
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xiߣan, Shaanxi 710069, China
| | - Han-Yu Zhu
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases (2011DAV00088), National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
- Address for correspondence: Dr. Han-Yu Zhu, Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases (2011DAV00088), National Clinical Research Center for Kidney Diseases, Beijing 100853, China E-Mail:
| | - Ying Zheng
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases (2011DAV00088), National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Qiu-Xia Han
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Guang-Yan Cai
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases (2011DAV00088), National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
| | - Xiang-Mei Chen
- Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases (2011DAV00088), National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China
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44
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Bermingham ML, Colombo M, McGurnaghan SJ, Blackbourn LAK, Vučković F, Pučić Baković M, Trbojević-Akmačić I, Lauc G, Agakov F, Agakova AS, Hayward C, Klarić L, Palmer CNA, Petrie JR, Chalmers J, Collier A, Green F, Lindsay RS, Macrury S, McKnight JA, Patrick AW, Thekkepat S, Gornik O, McKeigue PM, Colhoun HM. N-Glycan Profile and Kidney Disease in Type 1 Diabetes. Diabetes Care 2018; 41:79-87. [PMID: 29146600 DOI: 10.2337/dc17-1042] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 10/05/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Poorer glycemic control in type 1 diabetes may alter N-glycosylation patterns on circulating glycoproteins, and these alterations may be linked with diabetic kidney disease (DKD). We investigated associations between N-glycans and glycemic control and renal function in type 1 diabetes. RESEARCH DESIGN AND METHODS Using serum samples from 818 adults who were considered to have extreme annual loss in estimated glomerular filtration rate (eGFR; i.e., slope) based on retrospective clinical records, from among 6,127 adults in the Scottish Diabetes Research Network Type 1 Bioresource Study, we measured total and IgG-specific N-glycan profiles. This yielded a relative abundance of 39 total (GP) and 24 IgG (IGP) N-glycans. Linear regression models were used to investigate associations between N-glycan structures and HbA1c, albumin-to-creatinine ratio (ACR), and eGFR slope. Models were adjusted for age, sex, duration of type 1 diabetes, and total serum IgG. RESULTS Higher HbA1c was associated with a lower relative abundance of simple biantennary N-glycans and a higher relative abundance of more complex structures with more branching, galactosylation, and sialylation (GP12, 26, 31, 32, and 34, and IGP19 and 23; all P < 3.79 × 10-4). Similar patterns were seen for ACR and greater mean annual loss of eGFR, which were also associated with fewer of the simpler N-glycans (all P < 3.79 × 10-4). CONCLUSIONS Higher HbA1c in type 1 diabetes is associated with changes in the serum N-glycome that have elsewhere been shown to regulate the epidermal growth factor receptor and transforming growth factor-β pathways that are implicated in DKD. Furthermore, N-glycans are associated with ACR and eGFR slope. These data suggest that the role of altered N-glycans in DKD warrants further investigation.
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Affiliation(s)
- Mairead L Bermingham
- MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, U.K.
| | - Marco Colombo
- Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, U.K
| | - Stuart J McGurnaghan
- MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, U.K
| | - Luke A K Blackbourn
- MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, U.K
| | | | | | | | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | | | | | - Caroline Hayward
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, U.K
| | - Lucija Klarić
- Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, U.K
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, U.K
| | - Colin N A Palmer
- Cardiovascular and Diabetes Medicine, University of Dundee, Dundee, U.K
| | - John R Petrie
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, U.K
| | | | | | - Fiona Green
- Research & Development Support Unit, Dumfries & Galloway Royal Infirmary, Dumfries, U.K
| | - Robert S Lindsay
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, U.K
| | - Sandra Macrury
- Highland Diabetes Institute, Raigmore Hospital, NHS Highland, Inverness, U.K
| | | | - Alan W Patrick
- Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, U.K
| | | | - Olga Gornik
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Paul M McKeigue
- Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, U.K
- Pharmatics, Ltd., Edinburgh, U.K
| | - Helen M Colhoun
- MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, U.K
- Department of Public Health, NHS Fife, Kirkcaldy, U.K
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45
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Titan SM, Pecoits-Filho R, Barreto SM, Lopes AA, Bensenor IJ, Lotufo PA. GlycA, a marker of protein glycosylation, is related to albuminuria and estimated glomerular filtration rate: the ELSA-Brasil study. BMC Nephrol 2017; 18:367. [PMID: 29262791 PMCID: PMC5738692 DOI: 10.1186/s12882-017-0779-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Accepted: 12/07/2017] [Indexed: 12/11/2022] Open
Abstract
Background Systemic inflammation has been implicated in several chronic diseases. GlycA is a new nuclear mass resonance (NMR) spectroscopy-derived biomarker of systemic inflammation that reflects protein glycosylation. We evaluated the association of GlycA with albuminuria and eGFR in the ELSA-Brasil Study. Methods The cross-sectional association between GlycA (automated NMR LipoProfile(®) test spectra, LabCorp, Raleigh, NC), and overnight 12 h–albuminuria and CKD-EPI eGFR was evaluated among 5050 participants. Results GlycA was higher among older, women, smokers, alcohol abstemious, obese and in those with diabetes, hypertension or dyslipidemia. In addition, both eGFR and albuminuria were associated to GlycA. In linear regression, GlycA was independently associated with log albuminuria (B 0.03; 95%CI 0.02–0.04, P < 0.0001, per 1sd increase) and inversely related to eGFR (B -0.53; 95%CI -0.99 – -0.07, P < 0.02), even after adjustments including hsCRP. In logistic regression, GlycA was independently related to the risk of A2 or A3 albuminuria (OR 1.42, 95%CI 1.27–1.57, p < 0.0001, per 1sd increase), of having an eGFR < 60 ml/min/1.73m2 (OR 1.26, 95%CI 1.12–1.41, p = 0.0003, per 1 sd) or of a combined diagnosis of both conditions (OR 1.35, 95%CI 1.23–1.46, p < 0.0001, per 1 sd). In the ROC curve, GlycA had a higher AUC in comparison to hsCRP (AUC 0.67 vs. 0.62, p = 0.06) for the association with albuminuria A2 or A3. Conclusions The present study demonstrates that GlycA is associated with albuminuria and eGFR, independently of major risk factors for CKD progression, including (and with a stronger association than) hsCRP. GlycA should be further evaluated in CKD progression.
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Affiliation(s)
- Silvia M Titan
- Nephrology Unit, Department of Medicine, Medical School, University of Sao Paulo, Av Dr Enéas de Carvalho Aguiar 255, Cerqueira César, São Paulo - SP, 05403-000, Brazil. .,Center for Clinical and Epidemiologic Research, Hospital Universitario, University of São Paulo, Av Prof. Lineu Prestes 2565, Butantã, São Paulo - SP, 05508-000, Brazil.
| | - Roberto Pecoits-Filho
- Department of Medicine, Medical School, Pontifícia Universidade Católica do Paraná, R. Imac. Conceição 1155. Prado Velho, Curitiba, PR, 80215-901, Brazil
| | - Sandhi M Barreto
- Department of Social and Preventive Medicine, Medical School, Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena 190. Santa Efigênia, Belo Horizonte, MG, 30130-100, Brazil
| | - Antônio Alberto Lopes
- Clinical Epidemiology and Evidence Based-Medicine, University Hospital Professor Edgard Santos, Federal University of Bahia, Rua Augusto Viana, sn°. Canela, Salvador, BA, 40110-060, Brazil
| | - Isabela J Bensenor
- Center for Clinical and Epidemiologic Research, Hospital Universitario, University of São Paulo, Av Prof. Lineu Prestes 2565, Butantã, São Paulo - SP, 05508-000, Brazil.,General Medicine Unit, Department of Medicine, Medical School, University of Sao Paulo, Av Dr Enéas de Carvalho Aguiar 255, Cerqueira César, São Paulo - SP, 05403-000, Brazil
| | - Paulo A Lotufo
- Center for Clinical and Epidemiologic Research, Hospital Universitario, University of São Paulo, Av Prof. Lineu Prestes 2565, Butantã, São Paulo - SP, 05508-000, Brazil.,General Medicine Unit, Department of Medicine, Medical School, University of Sao Paulo, Av Dr Enéas de Carvalho Aguiar 255, Cerqueira César, São Paulo - SP, 05403-000, Brazil
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Bosseboeuf A, Allain-Maillet S, Mennesson N, Tallet A, Rossi C, Garderet L, Caillot D, Moreau P, Piver E, Girodon F, Perreault H, Brouard S, Nicot A, Bigot-Corbel E, Hermouet S, Harb J. Pro-inflammatory State in Monoclonal Gammopathy of Undetermined Significance and in Multiple Myeloma Is Characterized by Low Sialylation of Pathogen-Specific and Other Monoclonal Immunoglobulins. Front Immunol 2017; 8:1347. [PMID: 29098000 PMCID: PMC5653692 DOI: 10.3389/fimmu.2017.01347] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 10/03/2017] [Indexed: 12/21/2022] Open
Abstract
Multiple myeloma (MM) and its pre-cancerous stage monoclonal gammopathy of undetermined significance (MGUS) allow to study immune responses and the chronology of inflammation in the context of blood malignancies. Both diseases are characterized by the production of a monoclonal immunoglobulin (mc Ig) which for subsets of MGUS and MM patients targets pathogens known to cause latent infection, a major cause of inflammation. Inflammation may influence the structure of both polyclonal (pc) Ig and mc Ig produced by malignant plasma cells via the sialylation of Ig Fc fragment. Here, we characterized the sialylation of purified mc and pc IgGs from 148 MGUS and MM patients, in comparison to pc IgGs from 46 healthy volunteers. The inflammatory state of patients was assessed by the quantification in serum of 40 inflammation-linked cytokines, using Luminex technology. While pc IgGs from MGUS and MM patients showed heterogeneity in sialylation level, mc IgGs from both MGUS and MM patients exhibited a very low level of sialylation. Furthermore, mc IgGs from MM patients were less sialylated than mc IgGs from MGUS patients (p < 0.01), and mc IgGs found to target an infectious pathogen showed a lower level of sialylation than mc IgGs of undetermined specificity (p = 0.048). Regarding inflammation, 14 cytokines were similarly elevated with a p value < 0.0001 in MGUS and in MM compared to healthy controls. MM differed from MGUS by higher levels of HGF, IL-11, RANTES and SDF-1-α (p < 0.05). MGUS and MM patients presenting with hyposialylated pc IgGs had significantly higher levels of HGF, IL-6, tumor necrosis factor-α, TGF-β1, IL-17, and IL-33 compared to patients with hyper-sialylated pc IgGs (p < 0.05). In MGUS and in MM, the degree of sialylation of mc and pc IgGs and the levels of four cytokines important for the anti-microbial response were correlated, either positively (IFN-α2, IL-13) or negatively (IL-17, IL-33). Thus in MGUS as in MM, hyposialylation of mc IgGs is concomitant with increased levels of cytokines that play a major role in inflammation and anti-microbial response, which implies that infection, inflammation, and abnormal immune response contribute to the pathogenesis of MGUS and MM.
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Affiliation(s)
- Adrien Bosseboeuf
- CRCINA, INSERM, Institut de Recherche en Santé 2 (IRS-2), Université de Nantes, Nantes, France
| | - Sophie Allain-Maillet
- CRCINA, INSERM, Institut de Recherche en Santé 2 (IRS-2), Université de Nantes, Nantes, France
| | - Nicolas Mennesson
- CRCINA, INSERM, Institut de Recherche en Santé 2 (IRS-2), Université de Nantes, Nantes, France
| | - Anne Tallet
- Laboratoire de Biochimie, Centre Hospitalier Universitaire de Tours, Tours, France
| | - Cédric Rossi
- Clinical Hematology, Centre Hospitalier Universitaire De Dijon, Dijon, France
| | - Laurent Garderet
- UMRS938, INSERM Institut National de la Santé et de la Recherche Médicale, Paris, France.,Département d'Hématologie et de Thérapie Cellulaire, Hôpital Saint Antoine, Paris, France.,UPMC Université Paris 6, Sorbonne Universités, Paris, France
| | - Denis Caillot
- Clinical Hematology, Centre Hospitalier Universitaire De Dijon, Dijon, France
| | - Philippe Moreau
- Hematology Department, Centre Hospitalier Universitaire (CHU) de Nantes, Nantes, France
| | - Eric Piver
- Laboratoire de Biochimie, Centre Hospitalier Universitaire de Tours, Tours, France.,UMR966, INSERM Institut National de la Santé et de la Recherche Médicale, Tours, France
| | - François Girodon
- Laboratoire d'Hématologie, Centre Hospitalier Universitaire De Dijon, Dijon, France
| | - Hélène Perreault
- Department of Chemistry, University of Manitoba, Winnipeg, MB, Canada
| | - Sophie Brouard
- Centre de Recherche en Transplantation et Immunologie UMR1064, INSERM Institut National de la Santé et de la Recherche Médicale, Université de Nantes, Nantes, France
| | - Arnaud Nicot
- Centre de Recherche en Transplantation et Immunologie UMR1064, INSERM Institut National de la Santé et de la Recherche Médicale, Université de Nantes, Nantes, France
| | - Edith Bigot-Corbel
- CRCINA, INSERM, Institut de Recherche en Santé 2 (IRS-2), Université de Nantes, Nantes, France.,Laboratoire de Biochimie, Centre Hospitalier Universitaire (CHU) de Nantes, Nantes, France.,Faculté de Pharmacie, Université de Nantes, Nantes, France
| | - Sylvie Hermouet
- CRCINA, INSERM, Institut de Recherche en Santé 2 (IRS-2), Université de Nantes, Nantes, France.,Faculté de Médecine, Université de Nantes, Nantes, France.,Laboratoire d'Hématologie, Centre Hospitalier Universitaire (CHU) de Nantes, Nantes, France
| | - Jean Harb
- CRCINA, INSERM, Institut de Recherche en Santé 2 (IRS-2), Université de Nantes, Nantes, France.,Centre de Recherche en Transplantation et Immunologie UMR1064, INSERM Institut National de la Santé et de la Recherche Médicale, Université de Nantes, Nantes, France.,Laboratoire de Biochimie, Centre Hospitalier Universitaire (CHU) de Nantes, Nantes, France.,Faculté de Médecine, Université de Nantes, Nantes, France
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47
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IgG glycan patterns are associated with type 2 diabetes in independent European populations. Biochim Biophys Acta Gen Subj 2017; 1861:2240-2249. [DOI: 10.1016/j.bbagen.2017.06.020] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Revised: 06/02/2017] [Accepted: 06/26/2017] [Indexed: 11/18/2022]
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48
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Keser T, Vučković F, Barrios C, Zierer J, Wahl A, Akinkuolie AO, Štambuk J, Nakić N, Pavić T, Periša J, Mora S, Gieger C, Menni C, Spector TD, Gornik O, Lauc G. Effects of statins on the immunoglobulin G glycome. Biochim Biophys Acta Gen Subj 2017; 1861:1152-1158. [PMID: 28263871 PMCID: PMC5441970 DOI: 10.1016/j.bbagen.2017.02.029] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 02/22/2017] [Accepted: 02/28/2017] [Indexed: 10/20/2022]
Abstract
BACKGROUND Statins are among the most widely prescribed medications worldwide and usually many individuals involved in clinical and population studies are on statin therapy. Immunoglobulin G (IgG) glycosylation has been associated with numerous cardiometabolic risk factors. METHODS The aim of this study was to investigate the possible association of statin use with N-glycosylation of IgG. The association was analyzed in two large population cohorts (TwinsUK and KORA) using hydrophilic interaction liquid chromatography (HILIC-UPLC) in the TwinsUK cohort and reverse phase liquid chromatography coupled with electrospray mass spectrometry (LC-ESI-MS) in the KORA cohort. Afterwards we investigated the same association for only one statin (rosuvastatin) in a subset of individuals from the randomized double-blind placebo-controlled JUPITER study using LC-ESI-MS for IgG glycome and HILIC-UPLC for total plasma N-glycome. RESULTS In the TwinsUK population, the use of statins was associated with higher levels of core-fucosylated biantennary glycan structure with bisecting N-acetylglucosamine (FA2B) and lower levels of core-fucosylated biantennary digalactosylated monosialylated glycan structure (FA2G2S1). The association between statin use and FA2B was replicated in the KORA cohort. In the JUPITER trial we found no statistically significant differences between the randomly allocated placebo and rosuvastatin groups. CONCLUSIONS In the TwinsUK and KORA cohorts, statin use was associated with a small increase of pro-inflammatory IgG glycan, although this finding was not confirmed in a subset of participants from the JUPITER trial. GENERAL SIGNIFICANCE Even if the association between IgG N-glycome and statins exists, it is not large enough to pose a problem for glycomic studies.
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Affiliation(s)
- Toma Keser
- Department of Biochemistry and Molecular Biology, University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | | | - Clara Barrios
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; Department of Nephrology, Hospital del Mar, Institut Mar d'Investigacions Mediques, Barcelona, Spain
| | - Jonas Zierer
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Annika Wahl
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | | | - Jerko Štambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Natali Nakić
- Laboratory of Prion Biology, Department of Neuroscience, Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy
| | - Tamara Pavić
- Department of Biochemistry and Molecular Biology, University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Josipa Periša
- Department of Biochemistry and Molecular Biology, University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Samia Mora
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Olga Gornik
- Department of Biochemistry and Molecular Biology, University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Gordan Lauc
- Department of Biochemistry and Molecular Biology, University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia; Genos Glycoscience Research Laboratory, Zagreb, Croatia.
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Exploring the molecular basis of age-related disease comorbidities using a multi-omics graphical model. Sci Rep 2016; 6:37646. [PMID: 27886242 PMCID: PMC5122881 DOI: 10.1038/srep37646] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 10/28/2016] [Indexed: 12/28/2022] Open
Abstract
Although association studies have unveiled numerous correlations of biochemical markers with age and age-related diseases, we still lack an understanding of their mutual dependencies. To find molecular pathways that underlie age-related diseases as well as their comorbidities, we integrated aging markers from four different high-throughput omics datasets, namely epigenomics, transcriptomics, glycomics and metabolomics, with a comprehensive set of disease phenotypes from 510 participants of the TwinsUK cohort. We used graphical random forests to assess conditional dependencies between omics markers and phenotypes while eliminating mediated associations. Applying this novel approach for multi-omics data integration yields a model consisting of seven modules that represent distinct aspects of aging. These modules are connected by hubs that potentially trigger comorbidities of age-related diseases. As an example, we identified urate as one of these key players mediating the comorbidity of renal disease with body composition and obesity. Body composition variables are in turn associated with inflammatory IgG markers, mediated by the expression of the hormone oxytocin. Thus, oxytocin potentially contributes to the development of chronic low-grade inflammation, which often accompanies obesity. Our multi-omics graphical model demonstrates the interconnectivity of age-related diseases and highlights molecular markers of the aging process that might drive disease comorbidities.
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50
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Pezer M, Stambuk J, Perica M, Razdorov G, Banic I, Vuckovic F, Gospic AM, Ugrina I, Vecenaj A, Bakovic MP, Lokas SB, Zivkovic J, Plavec D, Devereux G, Turkalj M, Lauc G. Effects of allergic diseases and age on the composition of serum IgG glycome in children. Sci Rep 2016; 6:33198. [PMID: 27616597 PMCID: PMC5018987 DOI: 10.1038/srep33198] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 08/19/2016] [Indexed: 01/13/2023] Open
Abstract
It is speculated that immunoglobulin G (IgG) plays a regulatory role in allergic reactions. The glycans on the Fc region are known to affect IgG effector functions, thereby possibly having a role in IgG modulation of allergic response. This is the first study investigating patients' IgG glycosylation profile in allergic diseases. Subclass specific IgG glycosylation profile was analyzed in two cohorts of allergen sensitized and non-sensitized 3- to 11-year-old children (conducted at University of Aberdeen, UK and Children's Hospital Srebrnjak, Zagreb, Croatia) with 893 subjects in total. IgG was isolated from serum/plasma by affinity chromatography on Protein G. IgG tryptic glycopeptides were analyzed by liquid chromatography electrospray ionization mass spectrometry. In the Zagreb cohort IgG glycome composition changed with age across all IgG subclasses. In both cohorts, IgG glycome composition did not differ in allergen sensitized subjects, nor children sensitized to individual allergens, single allergen mean wheal diameter or positive wheal sum values. In the Zagreb study the results were also replicated for high total serum IgE and in children with self-reported manifest allergic disease. In conclusion, our findings demonstrate no association between serum IgG glycome composition and allergic diseases in children.
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Affiliation(s)
- Marija Pezer
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Jerko Stambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | | | - Genadij Razdorov
- University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Ivana Banic
- Children’s Hospital Srebrnjak, Zagreb, Croatia
| | | | | | - Ivo Ugrina
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Ana Vecenaj
- Children’s Hospital Srebrnjak, Zagreb, Croatia
| | | | | | | | - Davor Plavec
- Children’s Hospital Srebrnjak, Zagreb, Croatia
- University of Osijek, Faculty of Medicine, Osijek, Croatia
| | | | - Mirjana Turkalj
- Children’s Hospital Srebrnjak, Zagreb, Croatia
- University of Osijek, Faculty of Medicine, Osijek, Croatia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
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