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Dotz V, Lemmers RFH, Reiding KR, Hipgrave Ederveen AL, Lieverse AG, Mulder MT, Sijbrands EJG, Wuhrer M, van Hoek M. Plasma protein N-glycan signatures of type 2 diabetes. Biochim Biophys Acta Gen Subj 2018; 1862:2613-2622. [PMID: 30251656 DOI: 10.1016/j.bbagen.2018.08.005] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 07/30/2018] [Accepted: 08/03/2018] [Indexed: 12/23/2022]
Abstract
BACKGROUND Little is known about enzymatic N-glycosylation in type 2 diabetes, a common posttranslational modification of proteins influencing their function and integrating genetic and environmental influences. We sought to gain insights into N-glycosylation to uncover yet unexplored pathophysiological mechanisms in type 2 diabetes. METHODS Using a high-throughput MALDI-TOF mass spectrometry method, we measured N-glycans in plasma samples of the DiaGene case-control study (1583 cases and 728 controls). Associations were investigated with logistic regression and adjusted for age, sex, body mass index, high-density lipoprotein-cholesterol, non-high-density lipoprotein-cholesterol, and smoking. Findings were replicated in a nested replication cohort of 232 cases and 108 controls. RESULTS Eighteen glycosylation features were significantly associated with type 2 diabetes. Fucosylation and bisection of diantennary glycans were decreased in diabetes (odds ratio (OR) = 0.81, p = 1.26E-03, and OR = 0.87, p = 2.84E-02, respectively), whereas total and, specifically, alpha2,6-linked sialylation were increased (OR = 1.38, p = 9.92E-07, and OR = 1.40, p = 5.48E-07). Alpha2,3-linked sialylation of triantennary glycans was decreased (OR = 0.60, p = 6.38E-11). CONCLUSIONS While some glycosylation changes were reflective of inflammation, such as increased alpha2,6-linked sialylation, our finding of decreased alpha2,3-linked sialylation in type 2 diabetes patients is contradictory to reports on acute and chronic inflammation. Thus, it might have previously unreported immunological implications in type 2 diabetes. GENERAL SIGNIFICANCE This study provides new insights into N-glycosylation patterns in type 2 diabetes, which can fuel studies on causal mechanisms and consequences of this complex disease.
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Affiliation(s)
- Viktoria Dotz
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands.
| | - Roosmarijn F H Lemmers
- Department of Internal Medicine, ErasmusMC, University Medical Center, Rotterdam, the Netherlands; Department of Internal Medicine, Máxima Medical Center, Eindhoven, the Netherlands.
| | - Karli R Reiding
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands.
| | | | - Aloysius G Lieverse
- Department of Internal Medicine, Máxima Medical Center, Eindhoven, the Netherlands.
| | - Monique T Mulder
- Department of Internal Medicine, ErasmusMC, University Medical Center, Rotterdam, the Netherlands.
| | - Eric J G Sijbrands
- Department of Internal Medicine, ErasmusMC, 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, ErasmusMC, University Medical Center, Rotterdam, the Netherlands.
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Mise K, Imamura M, Yamaguchi S, Teshigawara S, Tone A, Uchida HA, Eguchi J, Nakatsuka A, Ogawa D, Yoshida M, Yamada M, Shikata K, Wada J. Identification of Novel Urinary Biomarkers for Predicting Renal Prognosis in Patients With Type 2 Diabetes by Glycan Profiling in a Multicenter Prospective Cohort Study: U-CARE Study 1. Diabetes Care 2018; 41:1765-1775. [PMID: 29930140 DOI: 10.2337/dc18-0030] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Accepted: 05/14/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Because quantifying glycans with complex structures is technically challenging, little is known about the association of glycosylation profiles with the renal prognosis in diabetic kidney disease (DKD). RESEARCH DESIGN AND METHODS In 675 patients with type 2 diabetes, we assessed the baseline urinary glycan signals binding to 45 lectins with different specificities. The end point was a decrease of estimated glomerular filtration rate (eGFR) by ≥30% from baseline or dialysis for end-stage renal disease. RESULTS During a median follow-up of 4.0 years, 63 patients reached the end point. Cox proportional hazards analysis revealed that urinary levels of glycans binding to six lectins were significantly associated with the outcome after adjustment for known indicators of DKD, although these urinary glycans, except that for DBA, were highly correlated with baseline albuminuria and eGFR. Hazard ratios for these lectins were (+1 SD for the glycan index) as follows: SNA (recognizing glycan Siaα2-6Gal/GalNAc), 1.42 (95% CI 1.14-1.76); RCA120 (Galβ4GlcNAc), 1.28 (1.01-1.64); DBA (GalNAcα3GalNAc), 0.80 (0.64-0.997); ABA (Galβ3GalNAc), 1.29 (1.02-1.64); Jacalin (Galβ3GalNAc), 1.30 (1.02-1.67); and ACA (Galβ3GalNAc), 1.32 (1.04-1.67). Adding these glycan indexes to a model containing known indicators of progression improved prediction of the outcome (net reclassification improvement increased by 0.51 [0.22-0.80], relative integrated discrimination improvement increased by 0.18 [0.01-0.35], and the Akaike information criterion decreased from 296 to 287). CONCLUSIONS The urinary glycan profile identified in this study may be useful for predicting renal prognosis in patients with type 2 diabetes. Additional investigation of glycosylation changes and urinary glycan excretion in DKD is needed.
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Affiliation(s)
- Koki Mise
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Mariko Imamura
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Satoshi Yamaguchi
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Sanae Teshigawara
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Atsuhito Tone
- Diabetes Center, Okayama University Hospital, Okayama, Japan
| | - Haruhito A Uchida
- Department of Chronic Kidney Disease and Cardiovascular Disease, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Jun Eguchi
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Atsuko Nakatsuka
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Daisuke Ogawa
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Michihiro Yoshida
- Center for Innovative Clinical Medicine, Okayama University Hospital, Okayama, Japan
| | | | - Kenichi Shikata
- Division of Clinical Research of New Drugs and Therapeutics, Center for Innovative Clinical Medicine, Okayama University Hospital, Okayama, Japan
| | - Jun Wada
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
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Yang S, Chatterjee S, Cipollo J. The Glycoproteomics-MS for Studying Glycosylation in Cardiac Hypertrophy and Heart Failure. Proteomics Clin Appl 2018; 12:e1700075. [PMID: 29424483 DOI: 10.1002/prca.201700075] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 11/10/2017] [Indexed: 12/13/2022]
Abstract
With recent advancements of analytical techniques and mass spectrometric instrumentations, proteomics has been widely exploited to study the regulation of protein expression associated with disease states. Many proteins may undergo abnormal change in response to the stimulants, leading to regulation of posttranslationally modified proteins. In this review, the physiological and pathological roles of protein glycosylation in cardiac hypertrophy is discussed, and how the signal pathways regulate heart function and leading to heart failure. The analytical methods for analysis of protein glycosylation, including glycans, glycosite, occupancy, and heterogeneity is emphasized. The rationale on glycoproteins as disease biomarkers is also discussed. The authors also propose potential research in this field and challenges in the diagnosis and treatment of this disease.
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Affiliation(s)
- Shuang Yang
- Laboratory of Bacterial Polysaccharides, Division of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Subroto Chatterjee
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - John Cipollo
- Laboratory of Bacterial Polysaccharides, Division of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
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Ondruskova N, Honzik T, Kolarova H, Pakanova Z, Mucha J, Zeman J, Hansikova H. Aberrant apolipoprotein C-III glycosylation in glycogen storage disease type III and IX. Metabolism 2018; 82:135-141. [PMID: 29408683 DOI: 10.1016/j.metabol.2018.01.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 01/08/2018] [Accepted: 01/17/2018] [Indexed: 01/22/2023]
Affiliation(s)
- Nina Ondruskova
- Department of Pediatrics and Adolescent Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Ke Karlovu 2, 12808 Prague 2, Czech Republic.
| | - Tomas Honzik
- Department of Pediatrics and Adolescent Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Ke Karlovu 2, 12808 Prague 2, Czech Republic.
| | - Hana Kolarova
- Department of Pediatrics and Adolescent Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Ke Karlovu 2, 12808 Prague 2, Czech Republic.
| | - Zuzana Pakanova
- Institute of Chemistry, Slovak Academy of Sciences, Dubravska cesta 9, 84538 Bratislava, Slovak Republic.
| | - Jan Mucha
- Institute of Chemistry, Slovak Academy of Sciences, Dubravska cesta 9, 84538 Bratislava, Slovak Republic.
| | - Jiri Zeman
- Department of Pediatrics and Adolescent Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Ke Karlovu 2, 12808 Prague 2, Czech Republic.
| | - Hana Hansikova
- Department of Pediatrics and Adolescent Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Ke Karlovu 2, 12808 Prague 2, Czech Republic.
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Protein N-Glycosylation in Cardiovascular Diseases and Related Risk Factors. CURRENT CARDIOVASCULAR RISK REPORTS 2018. [DOI: 10.1007/s12170-018-0579-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Everest-Dass AV, Moh ESX, Ashwood C, Shathili AMM, Packer NH. Human disease glycomics: technology advances enabling protein glycosylation analysis - part 2. Expert Rev Proteomics 2018. [PMID: 29521143 DOI: 10.1080/14789450.2018.1448710] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION The changes in glycan structures have been attributed to disease states for several decades. The surface glycosylation pattern is a signature of physiological state of a cell. In this review we provide a link between observed substructural glycan changes and a range of diseases. Areas covered: We highlight biologically relevant glycan substructure expression in cancer, inflammation, neuronal diseases and diabetes. Furthermore, the alterations in antibody glycosylation in a disease context are described. Expert commentary: Advances in technologies, as described in Part 1 of this review have now enabled the characterization of specific glycan structural markers of a range of disease states. The requirement of including glycomics in cross-disciplinary omics studies, such as genomics, proteomics, epigenomics, transcriptomics and metabolomics towards a systems glycobiology approach to understanding disease mechanisms and management are highlighted.
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Affiliation(s)
- Arun V Everest-Dass
- a Faculty of Science and Engineering, Biomolecular Discovery and Design Research Centre , Macquarie University , Sydney , Australia.,b ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia.,c Institute for Glycomics , Griffith University , Gold Coast , Australia
| | - Edward S X Moh
- a Faculty of Science and Engineering, Biomolecular Discovery and Design Research Centre , Macquarie University , Sydney , Australia.,b ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Christopher Ashwood
- a Faculty of Science and Engineering, Biomolecular Discovery and Design Research Centre , Macquarie University , Sydney , Australia.,b ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Abdulrahman M M Shathili
- a Faculty of Science and Engineering, Biomolecular Discovery and Design Research Centre , Macquarie University , Sydney , Australia.,b ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Nicolle H Packer
- a Faculty of Science and Engineering, Biomolecular Discovery and Design Research Centre , Macquarie University , Sydney , Australia.,b ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia.,c Institute for Glycomics , Griffith University , Gold Coast , Australia
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Franceschi C, Garagnani P, Morsiani C, Conte M, Santoro A, Grignolio A, Monti D, Capri M, Salvioli S. The Continuum of Aging and Age-Related Diseases: Common Mechanisms but Different Rates. Front Med (Lausanne) 2018; 5:61. [PMID: 29662881 PMCID: PMC5890129 DOI: 10.3389/fmed.2018.00061] [Citation(s) in RCA: 494] [Impact Index Per Article: 82.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 02/20/2018] [Indexed: 12/11/2022] Open
Abstract
Geroscience, the new interdisciplinary field that aims to understand the relationship between aging and chronic age-related diseases (ARDs) and geriatric syndromes (GSs), is based on epidemiological evidence and experimental data that aging is the major risk factor for such pathologies and assumes that aging and ARDs/GSs share a common set of basic biological mechanisms. A consequence is that the primary target of medicine is to combat aging instead of any single ARD/GSs one by one, as favored by the fragmentation into hundreds of specialties and sub-specialties. If the same molecular and cellular mechanisms underpin both aging and ARDs/GSs, a major question emerges: which is the difference, if any, between aging and ARDs/GSs? The hypothesis that ARDs and GSs such as frailty can be conceptualized as accelerated aging will be discussed by analyzing in particular frailty, sarcopenia, chronic obstructive pulmonary disease, cancer, neurodegenerative diseases such as Alzheimer and Parkinson as well as Down syndrome as an example of progeroid syndrome. According to this integrated view, aging and ARDs/GSs become part of a continuum where precise boundaries do not exist and the two extremes are represented by centenarians, who largely avoided or postponed most ARDs/GSs and are characterized by decelerated aging, and patients who suffered one or more severe ARDs in their 60s, 70s, and 80s and show signs of accelerated aging, respectively. In between these two extremes, there is a continuum of intermediate trajectories representing a sort of gray area. Thus, clinically different, classical ARDs/GSs are, indeed, the result of peculiar combinations of alterations regarding the same, limited set of basic mechanisms shared with the aging process. Whether an individual will follow a trajectory of accelerated or decelerated aging will depend on his/her genetic background interacting lifelong with environmental and lifestyle factors. If ARDs and GSs are manifestations of accelerated aging, it is urgent to identify markers capable of distinguishing between biological and chronological age to identify subjects at higher risk of developing ARDs and GSs. To this aim, we propose the use of DNA methylation, N-glycans profiling, and gut microbiota composition to complement the available disease-specific markers.
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Affiliation(s)
- Claudio Franceschi
- Institute of Neurological Sciences, University of Bologna, Bellaria Hospital, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.,Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden.,Applied Biomedical Research Center (CRBA), S. Orsola-Malpighi Polyclinic, Bologna, Italy.,CNR Institute of Molecular Genetics, Unit of Bologna, Bologna, Italy
| | - Cristina Morsiani
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Maria Conte
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.,Interdepartmental Center "L. Galvani" (CIG), University of Bologna, Bologna, Italy
| | - Andrea Grignolio
- Unit and Museum of History of Medicine, Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.,Interdepartmental Center "L. Galvani" (CIG), University of Bologna, Bologna, Italy
| | - Stefano Salvioli
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.,Interdepartmental Center "L. Galvani" (CIG), University of Bologna, Bologna, Italy
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Rehulka P, Zahradnikova M, Rehulkova H, Dvorakova P, Nenutil R, Valik D, Vojtesek B, Hernychova L, Novotny MV. Microgradient separation technique for purification and fractionation of permethylated N-glycans before mass spectrometric analyses. J Sep Sci 2018; 41:1973-1982. [DOI: 10.1002/jssc.201701339] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Revised: 01/17/2018] [Accepted: 01/23/2018] [Indexed: 12/16/2022]
Affiliation(s)
- Pavel Rehulka
- Department of Molecular Pathology and Biology; Faculty of Military Health Sciences; University of Defence; Hradec Kralove Czech Republic
| | - Martina Zahradnikova
- Regional Centre for Applied Molecular Oncology; Masaryk Memorial Cancer Institute; Brno Czech Republic
| | - Helena Rehulkova
- Department of Molecular Pathology and Biology; Faculty of Military Health Sciences; University of Defence; Hradec Kralove Czech Republic
| | - Petra Dvorakova
- Regional Centre for Applied Molecular Oncology; Masaryk Memorial Cancer Institute; Brno Czech Republic
| | - Rudolf Nenutil
- Regional Centre for Applied Molecular Oncology; Masaryk Memorial Cancer Institute; Brno Czech Republic
| | - Dalibor Valik
- Regional Centre for Applied Molecular Oncology; Masaryk Memorial Cancer Institute; Brno Czech Republic
| | - Borivoj Vojtesek
- Regional Centre for Applied Molecular Oncology; Masaryk Memorial Cancer Institute; Brno Czech Republic
| | - Lenka Hernychova
- Regional Centre for Applied Molecular Oncology; Masaryk Memorial Cancer Institute; Brno Czech Republic
| | - Milos V. Novotny
- Regional Centre for Applied Molecular Oncology; Masaryk Memorial Cancer Institute; Brno Czech Republic
- Department of Chemistry; Indiana University; Bloomington IN USA
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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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Chen J, Fang M, Chen X, Yi C, Ji J, Cheng C, Wang M, Gu X, Sun Q, Gao C. N-glycosylation of serum proteins for the assessment of patients with IgD multiple myeloma. BMC Cancer 2017; 17:881. [PMID: 29268706 PMCID: PMC5740902 DOI: 10.1186/s12885-017-3891-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 12/08/2017] [Indexed: 01/16/2023] Open
Abstract
Background Because glycosylation is one of the most common post-translational modifications of proteins and because changes in glycosylation have been shown to have a significant correlation with the development of many cancer types, we investigated the serum N-glycome used to diagnose, stage and evaluate the pathological outcomes in IgD multiple myeloma. Methods Serum samples were available for 20 patients with IgD multiple myeloma, 41 patients with light chain multiple myeloma and 42 healthy control subjects. Serum N-glycans were released and analysed using DNA sequencer-assisted fluorophore-assisted capillary electrophoresis. Results Characteristic changes were revealed in the serum N-glycome of IgD myeloma. In particular, three N-glycans (NG1(6)A2F, Peak3; NG1(3)A2F, Peak4; NA2FB, Peak7) showed increased clinical value. The best area under the ROC curve of NG1(6)A2F to diagnose IgD myeloma was 0.981, with a 95.0% sensitivity and 95.2% specificity, and that of NG1(3)A2F was 0.936, with a 95.0% sensitivity and 78.6% specificity. The best area under the ROC curve of NA2FB/NG1(3)A2F to differentially diagnose IgD myeloma versus light chain myeloma was 0.744, with a 95.3% sensitivity and 50.0% specificity. The level of NG1(3)A2F was correlated with the international staging system, while the higher abundance of NA2FB presented in IgD myeloma was predictive of a shorter progression-free survival. Conclusions The advent of serum N-glycan signatures may play a role in the diagnosis, staging and prognosis of IgD myeloma and will serve as the foundation for a precision medicine approach to this rare subtype of multiple myeloma. Electronic supplementary material The online version of this article (10.1186/s12885-017-3891-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jie Chen
- Department of Laboratory Medicine, Shanghai Jingan District Zhabei Central Hospital, 619 Zhonghuaxin Road, Shanghai, China
| | - Meng Fang
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China
| | - Xiaoling Chen
- Department of Hematology, Shanghai Jingan District Zhabei Central Hospital, 619 Zhonghuaxin Road, Shanghai, China
| | - Changhong Yi
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China
| | - Jun Ji
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China
| | - Cheng Cheng
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China
| | - Mengmeng Wang
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China
| | - Xing Gu
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China
| | - Quansheng Sun
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China
| | - Chunfang Gao
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China.
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Keser T, Gornik I, Vučković F, Selak N, Pavić T, Lukić E, Gudelj I, Gašparović H, Biočina B, Tilin T, Wennerström A, Männistö S, Salomaa V, Havulinna A, Wang W, Wilson JF, Chaturvedi N, Perola M, Campbell H, Lauc G, Gornik O. Increased plasma N-glycome complexity is associated with higher risk of type 2 diabetes. Diabetologia 2017; 60:2352-2360. [PMID: 28905229 DOI: 10.1007/s00125-017-4426-9] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 07/26/2017] [Indexed: 02/01/2023]
Abstract
AIMS/HYPOTHESIS Better understanding of type 2 diabetes and its prevention is a pressing need. Changes in human plasma N-glycome are associated with many diseases and represent promising diagnostic and prognostic biomarkers. Variations in glucose metabolism directly affect glycosylation through the hexosamine pathway but studies of plasma glycome in type 2 diabetes are scarce. The aim of this study was to determine whether plasma protein N-glycome is changed in individuals who are at greater risk of developing type 2 diabetes. METHODS Using a chromatographic approach, we analysed N-linked glycans from plasma proteins in two populations comprising individuals with registered hyperglycaemia during critical illness (increased risk for development of type 2 diabetes) and individuals who stayed normoglycaemic during the same condition: AcuteInflammation (59 cases vs 49 controls) and AcuteInflammation Replication (52 cases vs 14 controls) populations. N-glycome was also studied in individuals from FinRisk (37 incident cases of type 2 diabetes collected at baseline vs 37 controls), Orkney Complex Disease Study (ORCADES; 94 individuals with HbA1c > 6.5% [47.5 mmol/mol] vs 658 controls) and Southall and Brent Revisited (SABRE) cohort studies (307 individuals with HbA1c > 6.5% [47.5 mmol/mol] vs 307 controls). RESULTS Individuals with increased risk for diabetes type 2 development (AcuteInflammation and AcuteInflammation Replication populations), incident cases of type 2 diabetes collected at baseline (FinRisk population) and individuals with elevated HbA1c (ORCADES and SABRE populations) all presented with increased branching, galactosylation and sialylation of plasma protein N-glycans and these changes were of similar magnitude. CONCLUSIONS/INTERPRETATION Increased complexity of plasma N-glycan structures is associated with higher risk of developing type 2 diabetes and poorer regulation of blood glucose levels. Although further research is needed, this finding could offer a potential new approach for improvement in prevention of diabetes and its complications.
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Affiliation(s)
- Toma Keser
- University of Zagreb Faculty of Pharmacy and Biochemistry, Ante Kovačića 1, 10 000, Zagreb, Croatia
| | - Ivan Gornik
- Clinical Hospital Centre Zagreb, Zagreb, Croatia
| | | | - Najda Selak
- University of Zagreb Faculty of Pharmacy and Biochemistry, Ante Kovačića 1, 10 000, Zagreb, Croatia
| | - Tamara Pavić
- University of Zagreb Faculty of Pharmacy and Biochemistry, Ante Kovačića 1, 10 000, Zagreb, Croatia
| | - Edita Lukić
- Clinical Hospital Centre Zagreb, Zagreb, Croatia
| | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Hrvoje Gašparović
- Department of Cardiac Surgery, University Hospital Center Zagreb, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Bojan Biočina
- Department of Cardiac Surgery, University Hospital Center Zagreb, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Therese Tilin
- Institute of Cardiovascular Science, University College London, London, UK
| | | | - Satu Männistö
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Veikko Salomaa
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Aki Havulinna
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Wei Wang
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - James F Wilson
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Nish Chaturvedi
- Institute of Cardiovascular Science, University College London, London, UK
| | - Markus Perola
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Gordan Lauc
- University of Zagreb Faculty of Pharmacy and Biochemistry, Ante Kovačića 1, 10 000, Zagreb, Croatia
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Olga Gornik
- University of Zagreb Faculty of Pharmacy and Biochemistry, Ante Kovačića 1, 10 000, Zagreb, Croatia.
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62
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Giacconi R, Cai L, Costarelli L, Cardelli M, Malavolta M, Piacenza F, Provinciali M. Implications of impaired zinc homeostasis in diabetic cardiomyopathy and nephropathy. Biofactors 2017; 43:770-784. [PMID: 28845600 DOI: 10.1002/biof.1386] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 07/12/2017] [Accepted: 07/27/2017] [Indexed: 12/18/2022]
Abstract
Impaired zinc homeostasis is observed in diabetes mellitus (DM2) and its complications. Zinc has a specific role in pancreatic β-cells via insulin synthesis, storage, and secretion. Intracellular zinc homeostasis is tightly controlled by zinc transporters (ZnT and Zip families) and metallothioneins (MT) which modulate the uptake, storage, and distribution of zinc. Several investigations in animal models demonstrate the protective role of MT in DM2 and its cardiovascular or renal complications, while a copious literature shows that a common polymorphism (R325W) in ZnT8, which affects the protein's zinc transport activity, is associated with increased DM2 risk. Emerging studies highlight a role of other zinc transporters in β-cell function, suggesting that targeting them could make a possible contribution in managing the hyperglycemia in diabetic patients. This article summarizes the current findings concerning the role of zinc homeostasis in DM2 pathogenesis and development of diabetic cardiomyopathy and nephropathy and suggests novel therapeutic targets. © 2017 BioFactors, 43(6):770-784, 2017.
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Affiliation(s)
- Robertina Giacconi
- Translational Research Center of Nutrition and Ageing, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - Lu Cai
- Pediatric Research Institute at the Department of Pediatrics, Wendy L. Novak Diabetes Care Center, University of Louisville, Louisville, KY, USA
| | - Laura Costarelli
- Translational Research Center of Nutrition and Ageing, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - Maurizio Cardelli
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - Marco Malavolta
- Translational Research Center of Nutrition and Ageing, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - Francesco Piacenza
- Translational Research Center of Nutrition and Ageing, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - Mauro Provinciali
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
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63
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Spazzafumo L, Mensà E, Matacchione G, Galeazzi T, Zampini L, Recchioni R, Marcheselli F, Prattichizzo F, Testa R, Antonicelli R, Garagnani P, Boemi M, Bonafè M, Bonfigli AR, Procopio AD, Olivieri F. Age-related modulation of plasmatic beta-Galactosidase activity in healthy subjects and in patients affected by T2DM. Oncotarget 2017; 8:93338-93348. [PMID: 29212153 PMCID: PMC5706799 DOI: 10.18632/oncotarget.21848] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 10/04/2017] [Indexed: 01/01/2023] Open
Abstract
β-Galactosidase (β-Gal) activity has been the most extensively utilized biomarker for the detection of cellular senescence. It can be measured also in plasma, and few recent evidence showed an altered plasmatic β-Gal activity in patients affected by some age-related diseases (ARDs). Since T2DM is one of the most common ARDs, we aimed to investigate if plasmatic β-Gal activity is modulated in T2DM patients and if "age" could affect such modulation. To gain mechanistic insights we paralleled this investigation with the evaluation of β-Gal activity in young and senescent endothelial cells (HUVECs) cultured in normo- and hyper-glycaemic environment. A significant age-related increase of plasmatic β-Gal activity was observed in healthy subjects (n. 230; 55-87 years), whereas the enzymatic activity was significantly reduced in T2DM patients (n. 230; 55-96 years) compared to healthy subjects. β-Gal activity detectable both in cells and in the culture medium was significantly increased in senescent cells compared to the younger ones, both under normo- and hyper-glycaemic condition. However, the hyper-glycaemic condition was not associated with an increased β-Gal activity in milieu compared to normo-glycaemic condition. Overall our data reinforce the notion that plasmatic β-Gal activity could be a systemic biomarker of aging, whereas T2DM patients are characterized by a different age-releated trend.
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Affiliation(s)
- Liana Spazzafumo
- Center of Biostatics, INRCA-IRCCS National Institute, Ancona, Italy
| | - Emanuela Mensà
- Department of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy
| | - Giulia Matacchione
- Department of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy
| | - Tiziana Galeazzi
- Pediatric Division, Department of Clinical Sciences, Università Politecnica delle Marche, Ospedali Riuniti, Presidio Salesi, Ancona, Italy
| | - Lucia Zampini
- Pediatric Division, Department of Clinical Sciences, Università Politecnica delle Marche, Ospedali Riuniti, Presidio Salesi, Ancona, Italy
| | - Rina Recchioni
- Center of Clinical Pathology and Innovative Therapy, INRCA-IRCCS National Institute, Ancona, Italy
| | - Fiorella Marcheselli
- Center of Clinical Pathology and Innovative Therapy, INRCA-IRCCS National Institute, Ancona, Italy
| | - Francesco Prattichizzo
- Department of Cardiovascular and Metabolic Diseases, IRCCS Multimedica, Sesto San Giovanni, Italy
| | - Roberto Testa
- Clinical Laboratory and Molecular Diagnostics, INRCA-IRCCS National Institute, Ancona, Italy
| | | | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum, University of Bologna, Bologna, Italy.,Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden
| | - Massimo Boemi
- Diabetology Unit, INRCA-IRCCS, National Institute, Ancona, Italy
| | - Massimiliano Bonafè
- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | | | - Antonio Domenico Procopio
- Department of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy.,Center of Clinical Pathology and Innovative Therapy, INRCA-IRCCS National Institute, Ancona, Italy
| | - Fabiola Olivieri
- Department of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy.,Center of Clinical Pathology and Innovative Therapy, INRCA-IRCCS National Institute, Ancona, Italy
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64
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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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65
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Gao Q, Dolikun M, Štambuk J, Wang H, Zhao F, Yiliham N, Wang Y, Trbojević-Akmačić I, Zhang J, Fang H, Sun Y, Peng H, Zhao Z, Liu D, Liu J, Li Q, Sun Q, Wu L, Lauc G, Wang W, Song M. Immunoglobulin GN-Glycans as Potential Postgenomic Biomarkers for Hypertension in the Kazakh Population. ACTA ACUST UNITED AC 2017; 21:380-389. [DOI: 10.1089/omi.2017.0044] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Qing Gao
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Mamatyusupu Dolikun
- College of the Life Sciences and Technology, Xinjiang University, Urumqi, China
| | - Jerko Štambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Hao Wang
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Feifei Zhao
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Nizam Yiliham
- College of the Life Sciences and Technology, Xinjiang University, Urumqi, China
| | - Youxin Wang
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | | | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Honghong Fang
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yang Sun
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Hongli Peng
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhongyao Zhao
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Di Liu
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jiaonan Liu
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qihuan Li
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qi Sun
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Lijuan Wu
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Wei Wang
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Manshu Song
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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66
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Adua E, Russell A, Roberts P, Wang Y, Song M, Wang W. Innovation Analysis on Postgenomic Biomarkers: Glycomics for Chronic Diseases. ACTA ACUST UNITED AC 2017; 21:183-196. [DOI: 10.1089/omi.2017.0035] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Eric Adua
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Alyce Russell
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Peter Roberts
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Wei Wang
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
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67
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Fucic A, Guszak V, Keser T, Wagner J, Juretić E, Plavec D, Stojković R, Gornik O, Lauc G. Micronucleus, cell-free DNA, and plasma glycan composition in the newborns of healthy and diabetic mothers. Mutat Res 2017; 815:6-15. [PMID: 28283092 DOI: 10.1016/j.mrgentox.2017.01.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 01/19/2017] [Accepted: 01/20/2017] [Indexed: 10/20/2022]
Abstract
Diabetes is associated with certain environmental exposures, heritable factors, and metabolic conditions of intrauterine development due to diabetes in the mother. We evaluated genomic damage, cell-free DNA, N-glycosylation of umbilical cord plasma proteins (PG), and nuclear division index (NDI) as possible prognostic biomarkers of health risk in the newborns of mothers with treated pregestational diabetes (NBDM; 22 mothers), compared these parameters with those from newborns of healthy mothers (NBHM; 89 mothers), and associated the results with the mothers' lifestyle in both groups, based on a detailed questionnaire. Genomic damage was estimated by the in vitro micronucleus (MN) assay. NDI was detected on MN slides. Glycans were analyzed by ultra-performance liquid chromatography that separates the plasma N-glycome into 46 glycan peaks. Cell-free DNA was analyzed by real-time PCR. For the association between biomarkers and individual characteristics, generalized linear/nonlinear analysis was performed. No significant difference was found between NBHM and NBDM for cell-free DNA levels. There was no association between cell-free DNA levels and lifestyle. MN frequency was significantly higher in NBDM than in NBHM (median, 0.6 vs. 0.3%, p<0.001). MN frequency and NDI were significantly associated with residence (urban vs. rural). PG differed significantly between NBHM and NBDM (p<0.001). A significant association was found between PG and increase of MN frequency (p<0.001). As both MN frequency and altered N-glycosylation are associated with cancer risk, our study indicates need for further investigations.
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Affiliation(s)
- Aleksandra Fucic
- Institute for Medical Research and Occupational Health, Ksaverska c 2, 10000 Zagreb, Croatia.
| | | | - Toma Keser
- University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | | | - Emilja Juretić
- University Clinical Centre "Zagreb", Zagreb, Croatia; Medical School, University of Zagreb, Zagreb, Croatia
| | | | | | - Olga Gornik
- University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
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68
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Affiliation(s)
- Stefan Gaunitz
- Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States
| | - Gabe Nagy
- Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States
| | - Nicola L. B. Pohl
- Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States
| | - Milos V. Novotny
- Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States
- Regional Center for Applied Molecular Oncology, Masaryk Memorial Oncological Institute, 656 53 Brno, Czech Republic
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69
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Ruhaak LR. The Use of Multiple Reaction Monitoring on QQQ-MS for the Analysis of Protein- and Site-Specific Glycosylation Patterns in Serum. Methods Mol Biol 2017; 1503:63-82. [PMID: 27743359 DOI: 10.1007/978-1-4939-6493-2_6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
In recent years, high-throughput glycomics approaches have been developed and applied to either complete biofluids, cell lysates or tissues, or proteins isolated thereof. However, during such analyses the N-glycan are released from the protein backbone and therefore site- and protein-specific information is lost. There exists a need for high-throughput methods that allow quantification of site- and protein-specific glycosylation patterns from complex biological mixtures. We here describe the use of a multiple reaction monitoring mass spectrometry based method for the generation of glycopeptide profiles of the nine high abundance glycoproteins IgG, IgA, IgM, haptoglobin, alpha-1-antitrypsin, alpha-2-macroglobulin, alpha-1-acid glycoprotein, transferrin, and complement C3. We show that the sample preparation can be performed at the 96-well level, and using a 17-min gradient on a RP-UPLC-QQQ instrument, 96 samples can be analyzed within 3 days.
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Affiliation(s)
- L Renee Ruhaak
- Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX, 77030, USA.
- Department of Chemistry, UC Davis, One Shields Avenue, Davis, CA, 95616, USA.
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70
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Testa R, Ceriotti F, Guerra E, Bonfigli AR, Boemi M, Cucchi M, Di Gaetano N, Santini G, Genovese S, Ceriello A. Glycated albumin: correlation to HbA1c and preliminary reference interval evaluation. ACTA ACUST UNITED AC 2017; 55:e31-e33. [DOI: 10.1515/cclm-2016-0512] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Accepted: 06/27/2016] [Indexed: 11/15/2022]
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71
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Monti D, Ostan R, Borelli V, Castellani G, Franceschi C. Inflammaging and human longevity in the omics era. Mech Ageing Dev 2016; 165:129-138. [PMID: 28038993 DOI: 10.1016/j.mad.2016.12.008] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 12/21/2016] [Indexed: 11/24/2022]
Abstract
Inflammaging is a recent theory of aging originally proposed in 2000 where data and conceptualizations regarding the aging of the immune system (immunosenescence) and the evolution of immune responses from invertebrates to mammals converged. This theory has received an increasing number of citations and experimental confirmations. Here we present an updated version of inflammaging focused on omics data - particularly on glycomics - collected on centenarians, semi-supercentenarians and their offspring. Accordingly, we arrived to the following conclusions: i) inflammaging has a structure where specific combinations of pro- and anti-inflammatory mediators are involved; ii) inflammaging is systemic and more complex than we previously thought, as many organs, tissues and cell types participate in producing pro- and anti-inflammatory stimuli defined "molecular garbage"; iii) inflammaging is dynamic, can be propagated locally to neighboring cells and systemically from organ to organ by circulating products and microvesicles, and amplified by chronic age-related diseases constituting a "local fire", which in turn produces additional inflammatory stimuli and molecular garbage; iv) an integrated Systems Medicine approach is urgently needed to let emerge a robust and highly informative set/combination of omics markers able to better grasp the complex molecular core of inflammaging in elderly and centenarians.
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Affiliation(s)
- Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale Morgagni 50, 50134 Florence, Italy
| | - Rita Ostan
- Interdepartmental Centre "L. Galvani" (CIG) and Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Via San Giacomo 12, 40126 Bologna, Italy.
| | - Vincenzo Borelli
- Interdepartmental Centre "L. Galvani" (CIG) and Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Via San Giacomo 12, 40126 Bologna, Italy
| | - Gastone Castellani
- Department of Physics and Astronomy DIFA, University of Bologna, Viale Berti Pichat 6/2, 40127, Bologna, Italy
| | - Claudio Franceschi
- IRCCS, Institute of Neurological Sciences of Bologna, Via Altura 3, 40139 Bologna, Italy
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72
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Lauc G. Precision medicine that transcends genomics: Glycans as integrators of genes and environment. Biochim Biophys Acta Gen Subj 2016; 1860:1571-3. [DOI: 10.1016/j.bbagen.2016.05.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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73
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Zhao F, Mamatyusupu D, Wang Y, Fang H, Wang H, Gao Q, Dong H, Ge S, Yu X, Zhang J, Wu L, Song M, Wang W. The Uyghur population and genetic susceptibility to type 2 diabetes: potential role for variants in CAPN10, APM1 and FUT6 genes. J Cell Mol Med 2016; 20:2138-2147. [PMID: 27374856 PMCID: PMC5082412 DOI: 10.1111/jcmm.12911] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 05/20/2016] [Indexed: 02/06/2023] Open
Abstract
Genome‐wide association studies have successfully identified over 70 loci associated with the risk of type 2 diabetes mellitus (T2DM) in multiple populations of European ancestry. However, the risk attributable to an individual variant is modest and does not yet provide convincing evidence for clinical utility. Association between these established genetic variants and T2DM in general populations is hitherto understudied in the isolated populations, such as the Uyghurs, resident in Hetian, far southern Xinjiang Uyghur Autonomous Region, China. In this case–control study, we genotyped 13 single‐nucleotide polymorphisms (SNPs) at 10 genes associated with diabetes in 130 cases with T2DM and 135 healthy controls of Uyghur, a Chinese minority ethnic group. Three of the 13 SNPs demonstrated significant association with T2DM in the Uyghur population. There were significant differences between the T2DM patients and controls in the risk allele distributions of rs3792267 (CAPN10) (P = 0.002), rs1501299 (APM1) (P = 0.017), and rs3760776 (FUT6) (P = 0.031). Allelic carriers of rs3792267‐A, rs1501299‐T, and rs3760776‐T had a 2.24‐fold [OR (95% CI): 1.35–3.71], 0.59‐fold [OR (95% CI): 0.39–0.91], 0.57‐fold [OR (95% CI): 0.34–0.95] increased risk for T2DM respectively. We further confirmed that the cumulative risk allelic scores calculated from the 13 susceptibility loci for T2DM differed significantly between the T2DM patients and controls (P = 0.001), and the effect of obesity/overweight on T2DM was only observed in the subjects with a combined risk allelic score under a value of 17. This study observed that the SNPs rs3792267 in CAPN10, rs1501299 in APM1, and rs3760776 in FUT6 might serve as potential susceptible biomarkers for T2DM in Uyghurs. The cumulative risk allelic scores of multiple loci with modest individual effects are also significant risk factors in Uyghurs for T2DM, particularly among non‐obese individuals. This is the first investigation having observed/found genetic variations on genetic loci functionally linked with glycosylation associated with the risk of T2DM in a Uyghur population.
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Affiliation(s)
- Feifei Zhao
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Dolikun Mamatyusupu
- College of the Life Sciences and Technology, Xinjiang University, Urumqi, China
| | - Youxin Wang
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Honghong Fang
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Hao Wang
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qing Gao
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Hao Dong
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Siqi Ge
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xinwei Yu
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Lijuan Wu
- School of Public Health, Capital Medical University, Beijing, China.,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Manshu Song
- School of Public Health, Capital Medical University, Beijing, China. .,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - Wei Wang
- School of Public Health, Capital Medical University, Beijing, China. .,Municipal Key Laboratory of Clinical Epidemiology, Beijing, China. .,School of Medical Sciences, Edith Cowan University, Joondalup, WA, Australia.
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74
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Watson C, James S, O'Connell E, Gallagher J, O'Reilly J, Tallon E, Baugh J, O'Connell J, O'Shea D, Ledwidge M, McDonald K. Influence of diabetes on natriuretic peptide thresholds in screening for Stage B heart failure. Biomarkers 2016; 21:538-43. [PMID: 27049231 DOI: 10.3109/1354750x.2016.1160427] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
CONTEXT Natriuretic peptide (NP) has been shown to be an effective screening tool to identify patients with Stage B heart failure and to have clinical value in preventing heart failure progression. The impact of associated metabolic confounders on the screening utility of NP needs clarification. OBJECTIVE To assess the impact of diabetes mellitus (DM) on NP screening for asymptomatic Stage B heart failure. MATERIALS AND METHODS The study population consisted of 1368 asymptomatic patients with cardiovascular risk factors recruited from general practice as part of the STOP-HF trial. B-type NP (BNP) was quantified at point-of-care. RESULTS BNP was found to be as accurate for detecting Stage B heart failure in DM patients compared to non-DM patients (AUC 0.75 [0.71,0.78] and 0.77 [0.72,0.82], respectively). However, different BNP thresholds are required to achieve the same level of diagnostic sensitivity in DM compared with non-DM patients. To achieve 80% sensitivity a difference of 5-ng/L lower is required for patients with DM. CONCLUSION Although a significantly different BNP threshold is detected for patients with DM, the BNP concentration difference is small and unlikely to warrant a clinically different diagnostic threshold.
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Affiliation(s)
- Chris Watson
- a Wellcome-Wolfson Building, Centre for Experimental Medicine , Queen's University Belfast , Belfast , Northern Ireland ;,b Chronic Cardiovascular Disease Management Group , St Vincent's University Hospital Healthcare Group , Dublin , Ireland
| | - Stephanie James
- b Chronic Cardiovascular Disease Management Group , St Vincent's University Hospital Healthcare Group , Dublin , Ireland
| | - Eoin O'Connell
- b Chronic Cardiovascular Disease Management Group , St Vincent's University Hospital Healthcare Group , Dublin , Ireland
| | - Joe Gallagher
- b Chronic Cardiovascular Disease Management Group , St Vincent's University Hospital Healthcare Group , Dublin , Ireland
| | - James O'Reilly
- c School of Medicine , University College Dublin , Belfield, Dublin , Ireland
| | - Elaine Tallon
- b Chronic Cardiovascular Disease Management Group , St Vincent's University Hospital Healthcare Group , Dublin , Ireland
| | - John Baugh
- c School of Medicine , University College Dublin , Belfield, Dublin , Ireland
| | - Jean O'Connell
- d Department of Endocrinology , St Vincent's University Hospital Healthcare Group , Elm Park, Dublin , Ireland
| | - Donal O'Shea
- d Department of Endocrinology , St Vincent's University Hospital Healthcare Group , Elm Park, Dublin , Ireland
| | - Mark Ledwidge
- b Chronic Cardiovascular Disease Management Group , St Vincent's University Hospital Healthcare Group , Dublin , Ireland
| | - Ken McDonald
- b Chronic Cardiovascular Disease Management Group , St Vincent's University Hospital Healthcare Group , Dublin , Ireland ;,c School of Medicine , University College Dublin , Belfield, Dublin , Ireland
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75
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Hennig R, Cajic S, Borowiak M, Hoffmann M, Kottler R, Reichl U, Rapp E. Towards personalized diagnostics via longitudinal study of the human plasma N-glycome. Biochim Biophys Acta Gen Subj 2016; 1860:1728-38. [PMID: 27038647 DOI: 10.1016/j.bbagen.2016.03.035] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2016] [Revised: 03/24/2016] [Accepted: 03/25/2016] [Indexed: 12/25/2022]
Abstract
Facilitated by substantial advances in analytical methods, plasma N-glycans have emerged as potential candidates for biomarkers. In the recent years, several investigations could link aberrant plasma N-glycosylation to numerous diseases. However, due to often limited specificity and sensitivity, only a very limited number of glycan biomarkers were approved by the authorities up to now. The inter-individual heterogeneity of the plasma N-glycomes might mask disease related changes in conventional large cross-sectional cohort studies, with a one-time sampling approach. But, a possible benefit of longitudinal sampling in biomarker discovery could be, that already small changes during disease progression are revealed, by monitoring the plasma N-glycome of individuals over time. To evaluate this, we collected blood plasma samples of five healthy donors over a time period of up to six years (min. 1.5 years). The plasma N-glycome was analyzed by xCGE-LIF, to investigate the intra-individual N-glycome variability over time. It is shown, that the plasma N-glycome of an individual is remarkably stable over a period of several years, and that observed small longitudinal changes are independent from seasons, but significantly correlated with lifestyle and environmental factors. Thus, the potential of future longitudinal biomarker discovery studies could be demonstrated, which is a further step towards personalized diagnostics. This article is part of a Special Issue entitled "Glycans in personalised medicine" Guest Editor: Professor Gordan Lauc.
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Affiliation(s)
- René Hennig
- Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany; glyXera GmbH, Leipziger Straße 44, 39120 Magdeburg, Germany
| | - Samanta Cajic
- Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany
| | | | - Marcus Hoffmann
- Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany
| | - Robert Kottler
- Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany
| | - Udo Reichl
- Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany; Otto-von-Guericke University, Chair of Bioprocess Engineering, Universitätsplatz 2, 39106 Magdeburg, Germany
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany; glyXera GmbH, Leipziger Straße 44, 39120 Magdeburg, Germany.
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76
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Miura Y, Endo T. Glycomics and glycoproteomics focused on aging and age-related diseases--Glycans as a potential biomarker for physiological alterations. Biochim Biophys Acta Gen Subj 2016; 1860:1608-14. [PMID: 26801879 DOI: 10.1016/j.bbagen.2016.01.013] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Revised: 01/13/2016] [Accepted: 01/14/2016] [Indexed: 01/08/2023]
Abstract
BACKGROUND Since glycosylation depends on glycosyltransferases, glycosidases, and sugar nucleotide donors, it is susceptible to the changes associated with physiological and pathological conditions. Therefore, alterations in glycan structures may be good targets and biomarkers for monitoring health conditions. Since human aging and longevity are affected by genetic and environmental factors such as diseases, lifestyle, and social factors, a scale that reflects various environmental factors is required in the study of human aging and longevity. SCOPE OF REVIEW We herein focus on glycosylation changes elucidated by glycomic and glycoproteomic studies on aging, longevity, and age-related diseases including cognitive impairment, diabetes mellitus, and frailty. We also consider the potential of glycan structures as biomarkers and/or targets for monitoring physiological and pathophysiological changes. MAJOR CONCLUSIONS Glycan structures are altered in age-related diseases. These glycans and glycoproteins may be involved in the pathophysiology of these diseases and, thus, be useful diagnostic markers. Age-dependent changes in N-glycans have been reported previously in cohort studies, and characteristic N-glycans in extreme longevity have been proposed. These findings may lead to a deeper understanding of the mechanisms underlying aging as well as the factors influencing longevity. GENERAL SIGNIFICANCE Alterations in glycosylation may be good targets and biomarkers for monitoring health conditions, and be applicable to studies on age-related diseases and healthy aging. This article is part of a Special Issue entitled "Glycans in personalised medicine" Guest Editor: Professor Gordan Lauc.
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Affiliation(s)
- Yuri Miura
- Research Team for Mechanism of Aging, Tokyo Metropolitan Institute of Gerontology, Tokyo 173-0015, Japan
| | - Tamao Endo
- Research Team for Mechanism of Aging, Tokyo Metropolitan Institute of Gerontology, Tokyo 173-0015, Japan.
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77
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Clinical diagnostics and therapy monitoring in the congenital disorders of glycosylation. Glycoconj J 2016; 33:345-58. [PMID: 26739145 PMCID: PMC4891361 DOI: 10.1007/s10719-015-9639-x] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Revised: 11/03/2015] [Accepted: 11/18/2015] [Indexed: 12/20/2022]
Abstract
Abnormal protein glycosylation is observed in many common disorders like cancer, inflammation, Alzheimer’s disease and diabetes. However, the actual use of this information in clinical diagnostics is still very limited. Information is usually derived from analysis of total serum N-glycan profiling methods, whereas the current use of glycoprotein biomarkers in the clinical setting is commonly based on protein levels. It can be envisioned that combining protein levels and their glycan isoforms would increase specificity for early diagnosis and therapy monitoring. To establish diagnostic assays, based on the mass spectrometric analysis of protein-specific glycosylation abnormalities, still many technical improvements have to be made. In addition, clinical validation is equally important as well as an understanding of the genetic and environmental factors that determine the protein-specific glycosylation abnormalities. Important lessons can be learned from the group of monogenic disorders in the glycosylation pathway, the Congenital Disorders of Glycosylation (CDG). Now that more and more genetic defects are being unraveled, we start to learn how genetic factors influence glycomics profiles of individual and total serum proteins. Although only in its initial stages, such studies suggest the importance to establish diagnostic assays for protein-specific glycosylation profiling, and the need to look beyond the single glycoprotein diagnostic test. Here, we review progress in and lessons from genetic disease, and review the increasing opportunities of mass spectrometry to analyze protein glycosylation in the clinical diagnostic setting. Furthermore, we will discuss the possibilities to expand current CDG diagnostics and how this can be used to approach glycoprotein biomarkers for more common diseases.
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78
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Ferreira JA, Peixoto A, Neves M, Gaiteiro C, Reis CA, Assaraf YG, Santos LL. Mechanisms of cisplatin resistance and targeting of cancer stem cells: Adding glycosylation to the equation. Drug Resist Updat 2016; 24:34-54. [DOI: 10.1016/j.drup.2015.11.003] [Citation(s) in RCA: 113] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Revised: 11/09/2015] [Accepted: 11/18/2015] [Indexed: 02/06/2023]
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Vilar‐Bergua A, Riba‐Llena I, Vanhooren V, Dewaele S, Libert C, Penalba A, Montaner J, Delgado P. N-glycome Profile Levels Relate to Silent Brain Infarcts in a Cohort of Hypertensives. J Am Heart Assoc 2015; 4:e002669. [PMID: 26597154 PMCID: PMC4845233 DOI: 10.1161/jaha.115.002669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Accepted: 11/01/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND Silent brain infarcts (SBIs) are highly prevalent in the aged population and relate to the occurrence of further stroke and dementia. Serum N-glycome levels have been previously associated with aging and they might be related as well to the presence of SBIs and age-related white matter hyperintensities. METHODS AND RESULTS We determined the serum N-glycome profile in a cohort study comprising 972 subjects and evaluated the relationship between N-glycome levels and the presence and number of SBIs and with age-related white matter hyperintensities grades, assessed by brain magnetic resonance imaging. Decreasing concentrations of bigalacto core-α-1,6-fucosylated biantennary glycan and increasing concentrations of branching α-1,3-fucosylated triantennary glycan remained as independent predictors of SBIs (odds ratio 0.4, 95% CI 0.3-0.7 and odds ratio 1.8, 95% CI 1-3.2, respectively), after controlling for the presence of age and classic vascular risk factors. A similar pattern was found to be related to an increasing number of SBIs and white matter hyperintensities grade. CONCLUSIONS N-glycome levels might be potentially useful as biomarkers for the presence of silent cerebrovascular disease.
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Affiliation(s)
- Andrea Vilar‐Bergua
- Neurovascular Research LaboratoryVall d'Hebron Research InstituteDepartament de MedicinaUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Iolanda Riba‐Llena
- Neurovascular Research LaboratoryVall d'Hebron Research InstituteDepartament de MedicinaUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Valerie Vanhooren
- Inflammation Research CenterUGent‐VIB Research Building FSVMGhentBelgium
- Biomedical Molecular Biology DepartmentGhent UniversityGhentBelgium
| | - Sylviane Dewaele
- Inflammation Research CenterUGent‐VIB Research Building FSVMGhentBelgium
- Biomedical Molecular Biology DepartmentGhent UniversityGhentBelgium
| | - Claude Libert
- Inflammation Research CenterUGent‐VIB Research Building FSVMGhentBelgium
- Biomedical Molecular Biology DepartmentGhent UniversityGhentBelgium
| | - Anna Penalba
- Neurovascular Research LaboratoryVall d'Hebron Research InstituteDepartament de MedicinaUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Joan Montaner
- Neurovascular Research LaboratoryVall d'Hebron Research InstituteDepartament de MedicinaUniversitat Autònoma de BarcelonaBarcelonaSpain
- Stroke UnitNeurology DepartmentVall d'Hebron HospitalBarcelonaSpain
| | - Pilar Delgado
- Neurovascular Research LaboratoryVall d'Hebron Research InstituteDepartament de MedicinaUniversitat Autònoma de BarcelonaBarcelonaSpain
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