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Raynor A, Haouari W, Lebredonchel E, Foulquier F, Fenaille F, Bruneel A. Biochemical diagnosis of congenital disorders of glycosylation. Adv Clin Chem 2024; 120:1-43. [PMID: 38762238 DOI: 10.1016/bs.acc.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2024]
Abstract
Congenital disorders of glycosylation (CDG) are one of the fastest growing groups of inborn errors of metabolism, comprising over 160 described diseases to this day. CDG are characterized by a dysfunctional glycosylation process, with molecular defects localized in the cytosol, the endoplasmic reticulum, or the Golgi apparatus. Depending on the CDG, N-glycosylation, O-glycosylation and/or glycosaminoglycan synthesis can be affected. Various proteins, lipids, and glycosylphosphatidylinositol anchors bear glycan chains, with potential impacts on their folding, targeting, secretion, stability, and thus, functionality. Therefore, glycosylation defects can have diverse and serious clinical consequences. CDG patients often present with a non-specific, multisystemic syndrome including neurological involvement, growth delay, hepatopathy and coagulopathy. As CDG are rare diseases, and typically lack distinctive clinical signs, biochemical and genetic testing bear particularly important and complementary diagnostic roles. Here, after a brief introduction on glycosylation and CDG, we review historical and recent findings on CDG biomarkers and associated analytical techniques, with a particular emphasis on those with relevant use in the specialized clinical chemistry laboratory. We provide the reader with insights and methods which may help them properly assist the clinician in navigating the maze of glycosylation disorders.
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Affiliation(s)
- Alexandre Raynor
- AP-HP, Biochimie Métabolique et Cellulaire, Hôpital Bichat, Paris, France
| | - Walid Haouari
- INSERM UMR1193, Faculté de Pharmacie, Université Paris-Saclay, Orsay, France
| | | | - François Foulquier
- Université de Lille, CNRS, UMR 8576-UGSF-Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France
| | - François Fenaille
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, MetaboHUB, Gif sur Yvette, France.
| | - Arnaud Bruneel
- AP-HP, Biochimie Métabolique et Cellulaire, Hôpital Bichat, Paris, France; INSERM UMR1193, Faculté de Pharmacie, Université Paris-Saclay, Orsay, France.
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2
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Klarić TS, Gudelj I, Santpere G, Novokmet M, Vučković F, Ma S, Doll HM, Risgaard R, Bathla S, Karger A, Nairn AC, Luria V, Bečeheli I, Sherwood CC, Ely JJ, Hof PR, Sousa AM, Josić D, Lauc G, Sestan N. Human-specific features and developmental dynamics of the brain N-glycome. SCIENCE ADVANCES 2023; 9:eadg2615. [PMID: 38055821 PMCID: PMC10699788 DOI: 10.1126/sciadv.adg2615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 11/07/2023] [Indexed: 12/08/2023]
Abstract
Comparative "omics" studies have revealed unique aspects of human neurobiology, yet an evolutionary perspective of the brain N-glycome is lacking. We performed multiregional characterization of rat, macaque, chimpanzee, and human brain N-glycomes using chromatography and mass spectrometry and then integrated these data with complementary glycotranscriptomic data. We found that, in primates, the brain N-glycome has diverged more rapidly than the underlying transcriptomic framework, providing a means for rapidly generating additional interspecies diversity. Our data suggest that brain N-glycome evolution in hominids has been characterized by an overall increase in complexity coupled with a shift toward increased usage of α(2-6)-linked N-acetylneuraminic acid. Moreover, interspecies differences in the cell type expression pattern of key glycogenes were identified, including some human-specific differences, which may underpin this evolutionary divergence. Last, by comparing the prenatal and adult human brain N-glycomes, we uncovered region-specific neurodevelopmental pathways that lead to distinct spatial N-glycosylation profiles in the mature brain.
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Affiliation(s)
- Thomas S. Klarić
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Ivan Gudelj
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
| | - Gabriel Santpere
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Hospital del Mar Research Institute, Barcelona, Catalonia, Spain
| | | | | | - Shaojie Ma
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Hannah M. Doll
- Waisman Center and Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Ryan Risgaard
- Waisman Center and Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Shveta Bathla
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Amir Karger
- IT Research Computing, Harvard Medical School, Boston, MA, USA
| | - Angus C. Nairn
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Victor Luria
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, USA
| | | | - Chet C. Sherwood
- Department of Anthropology, The George Washington University, Washington, DC, USA
| | - John J. Ely
- Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC, USA
- MAEBIOS, Alamogordo, NM, USA
| | - Patrick R. Hof
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - André M. M. Sousa
- Waisman Center and Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Djuro Josić
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
- Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Nenad Sestan
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Departments of Genetics and Comparative Medicine, Kavli Institute for Neuroscience, Program in Cellular Neuroscience, Neurodegeneration and Repair, and Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA
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Sharapov SZ, Timoshchuk AN, Aulchenko YS. Genetic control of N-glycosylation of human blood plasma proteins. Vavilovskii Zhurnal Genet Selektsii 2023; 27:224-239. [PMID: 37293449 PMCID: PMC10244589 DOI: 10.18699/vjgb-23-29] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/20/2023] [Accepted: 01/23/2022] [Indexed: 06/10/2023] Open
Abstract
Glycosylation is an important protein modification, which influences the physical and chemical properties as well as biological function of these proteins. Large-scale population studies have shown that the levels of various plasma protein N-glycans are associated with many multifactorial human diseases. Observed associations between protein glycosylation levels and human diseases have led to the conclusion that N-glycans can be considered a potential source of biomarkers and therapeutic targets. Although biochemical pathways of glycosylation are well studied, the understanding of the mechanisms underlying general and tissue-specific regulation of these biochemical reactions in vivo is limited. This complicates both the interpretation of the observed associations between protein glycosylation levels and human diseases, and the development of glycan-based biomarkers and therapeutics. By the beginning of the 2010s, high-throughput methods of N-glycome profiling had become available, allowing research into the genetic control of N-glycosylation using quantitative genetics methods, including genome-wide association studies (GWAS). Application of these methods has made it possible to find previously unknown regulators of N-glycosylation and expanded the understanding of the role of N-glycans in the control of multifactorial diseases and human complex traits. The present review considers the current knowledge of the genetic control of variability in the levels of N-glycosylation of plasma proteins in human populations. It briefly describes the most popular physical-chemical methods of N-glycome profiling and the databases that contain genes involved in the biosynthesis of N-glycans. It also reviews the results of studies of environmental and genetic factors contributing to the variability of N-glycans as well as the mapping results of the genomic loci of N-glycans by GWAS. The results of functional in vitro and in silico studies are described. The review summarizes the current progress in human glycogenomics and suggests possible directions for further research.
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Affiliation(s)
- S Zh Sharapov
- MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
| | - A N Timoshchuk
- MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
| | - Y S Aulchenko
- MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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Hagenbeek FA, Hirzinger JS, Breunig S, Bruins S, Kuznetsov DV, Schut K, Odintsova VV, Boomsma DI. Maximizing the value of twin studies in health and behaviour. Nat Hum Behav 2023:10.1038/s41562-023-01609-6. [PMID: 37188734 DOI: 10.1038/s41562-023-01609-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 04/19/2023] [Indexed: 05/17/2023]
Abstract
In the classical twin design, researchers compare trait resemblance in cohorts of identical and non-identical twins to understand how genetic and environmental factors correlate with resemblance in behaviour and other phenotypes. The twin design is also a valuable tool for studying causality, intergenerational transmission, and gene-environment correlation and interaction. Here we review recent developments in twin studies, recent results from twin studies of new phenotypes and recent insights into twinning. We ask whether the results of existing twin studies are representative of the general population and of global diversity, and we conclude that stronger efforts to increase representativeness are needed. We provide an updated overview of twin concordance and discordance for major diseases and mental disorders, which conveys a crucial message: genetic influences are not as deterministic as many believe. This has important implications for public understanding of genetic risk prediction tools, as the accuracy of genetic predictions can never exceed identical twin concordance rates.
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Affiliation(s)
- Fiona A Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
| | - Jana S Hirzinger
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Sophie Breunig
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Psychology & Neuroscience, University of Colorado Boulder, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Susanne Bruins
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Dmitry V Kuznetsov
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Faculty of Sociology, Bielefeld University, Bielefeld, Germany
| | - Kirsten Schut
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Nightingale Health Plc, Helsinki, Finland
| | - Veronika V Odintsova
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Reproduction & Development (AR&D) Research Institute, Amsterdam, the Netherlands
- Department of Psychiatry, University Medical Center of Groningen, University of Groningen, Groningen, the Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
- Amsterdam Reproduction & Development (AR&D) Research Institute, Amsterdam, the Netherlands.
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Tudor L, Nedic Erjavec G, Nikolac Perkovic M, Konjevod M, Uzun S, Kozumplik O, Mimica N, Lauc G, Svob Strac D, Pivac N. The Association of the Polymorphisms in the FUT8-Related Locus with the Plasma Glycosylation in Post-Traumatic Stress Disorder. Int J Mol Sci 2023; 24:ijms24065706. [PMID: 36982780 PMCID: PMC10056189 DOI: 10.3390/ijms24065706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 03/04/2023] [Accepted: 03/11/2023] [Indexed: 03/19/2023] Open
Abstract
The molecular underpinnings of post-traumatic stress disorder (PTSD) are still unclear due to the complex interactions of genetic, psychological, and environmental factors. Glycosylation is a common post-translational modification of proteins, and different pathophysiological states, such as inflammation, autoimmune diseases, and mental disorders including PTSD, show altered N-glycome. Fucosyltransferase 8 (FUT8) is the enzyme that catalyzes the addition of core fucose on glycoproteins, and mutations in the FUT8 gene are associated with defects in glycosylation and functional abnormalities. This is the first study that investigated the associations of plasma N-glycan levels with FUT8-related rs6573604, rs11621121, rs10483776, and rs4073416 polymorphisms and their haplotypes in 541 PTSD patients and control participants. The results demonstrated that the rs6573604 T allele was more frequent in the PTSD than in the control participants. Significant associations of plasma N-glycan levels with PTSD and FUT8-related polymorphisms were observed. We also detected associations of rs11621121 and rs10483776 polymorphisms and their haplotypes with plasma levels of specific N-glycan species in both the control and PTSD groups. In carriers of different rs6573604 and rs4073416 genotypes and alleles, differences in plasma N-glycan levels were only found in the control group. These molecular findings suggest a possible regulatory role of FUT8-related polymorphisms in glycosylation, the alternations of which could partially explain the development and clinical manifestation of PTSD.
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Affiliation(s)
- Lucija Tudor
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
| | - Gordana Nedic Erjavec
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
| | - Matea Nikolac Perkovic
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
| | - Marcela Konjevod
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
| | - Suzana Uzun
- Department for Biological Psychiatry and Psychogeriatrics, University Hospital Vrapce, 10000 Zagreb, Croatia; (S.U.); (O.K.); (N.M.)
- School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
- Faculty of Education and Rehabilitation Sciences, University of Zagreb, 10000 Zagreb, Croatia
| | - Oliver Kozumplik
- Department for Biological Psychiatry and Psychogeriatrics, University Hospital Vrapce, 10000 Zagreb, Croatia; (S.U.); (O.K.); (N.M.)
- Faculty of Education and Rehabilitation Sciences, University of Zagreb, 10000 Zagreb, Croatia
| | - Ninoslav Mimica
- Department for Biological Psychiatry and Psychogeriatrics, University Hospital Vrapce, 10000 Zagreb, Croatia; (S.U.); (O.K.); (N.M.)
- School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Gordan Lauc
- Glycobiology Laboratory, Genos Ltd., 10000 Zagreb, Croatia;
| | - Dubravka Svob Strac
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
- Correspondence: (D.S.S.); (N.P.)
| | - Nela Pivac
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia; (L.T.); (G.N.E.); (M.N.P.); (M.K.)
- University of Applied Sciences Hrvatsko Zagorje Krapina, 49000 Krapina, Croatia
- Correspondence: (D.S.S.); (N.P.)
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Visconti A, Rossi N, Deriš H, Lee KA, Hanić M, Trbojević-Akmačić I, Thomas AM, Bolte LA, Björk JR, Hooiveld-Noeken JS, Board R, Harland M, Newton-Bishop J, Harries M, Sacco JJ, Lorigan P, Shaw HM, de Vries EGE, Fehrmann RSN, Weersma RK, Spector TD, Nathan P, Hospers GAP, Sasieni P, Bataille V, Lauc G, Falchi M. Total serum N-glycans associate with response to immune checkpoint inhibition therapy and survival in patients with advanced melanoma. BMC Cancer 2023; 23:166. [PMID: 36805683 PMCID: PMC9938582 DOI: 10.1186/s12885-023-10511-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 01/04/2023] [Indexed: 02/20/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of melanoma and other cancers. However, no reliable biomarker of survival or response has entered the clinic to identify those patients with melanoma who are most likely to benefit from ICIs. Glycosylation affects proteins and lipids' structure and functions. Tumours are characterized by aberrant glycosylation which may contribute to their progression and hinder an effective antitumour immune response. METHODS We aim at identifying novel glyco-markers of response and survival by leveraging the N-glycome of total serum proteins collected in 88 ICI-naive patients with advanced melanoma from two European countries. Samples were collected before and during ICI treatment. RESULTS We observe that responders to ICIs present with a pre-treatment N-glycome profile significantly shifted towards higher abundancy of low-branched structures containing lower abundances of antennary fucose, and that this profile is positively associated with survival and a better predictor of response than clinical variables alone. CONCLUSION While changes in serum protein glycosylation have been previously implicated in a pro-metastatic melanoma behaviour, we show here that they are also associated with response to ICI, opening new avenues for the stratification of patients and the design of adjunct therapies aiming at improving immune response.
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Affiliation(s)
- Alessia Visconti
- Department of Twins Research & Genetics Epidemiology, King's College London, London, UK
| | - Niccolò Rossi
- Department of Twins Research & Genetics Epidemiology, King's College London, London, UK
| | - Helena Deriš
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Karla A Lee
- Department of Twins Research & Genetics Epidemiology, King's College London, London, UK
| | - Maja Hanić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | | | | | - Laura A Bolte
- Department of Gastroenterology and Hepatology, University of Groningen and University Medical Center, Groningen, The Netherlands
| | - Johannes R Björk
- Department of Gastroenterology and Hepatology, University of Groningen and University Medical Center, Groningen, The Netherlands
| | | | - Ruth Board
- Department of Oncology, Lancashire Teaching Hospitals NHS Trust, Chorley, UK
| | - Mark Harland
- Division of Haematology and Immunology, Institute of Medical Research at St. James', University of Leeds, Leeds, UK
| | - Julia Newton-Bishop
- Division of Haematology and Immunology, Institute of Medical Research at St. James', University of Leeds, Leeds, UK
| | - Mark Harries
- Department of Medical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Joseph J Sacco
- Liverpool Clatterbridge Cancer Centre, Liverpool, UK
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Paul Lorigan
- The Christie NHS Foundation Trust, Manchester, UK
| | - Heather M Shaw
- Department of Medical Oncology, Mount Vernon Cancer Centre, Northwood, UK
| | - Elisabeth G E de Vries
- Department of Medical Oncology, University Medical Center Groningen, Groningen, The Netherlands
| | - Rudolf S N Fehrmann
- Department of Medical Oncology, University Medical Center Groningen, Groningen, The Netherlands
| | - Rinse K Weersma
- Department of Gastroenterology and Hepatology, University of Groningen and University Medical Center, Groningen, The Netherlands
| | - Tim D Spector
- Department of Twins Research & Genetics Epidemiology, King's College London, London, UK
| | - Paul Nathan
- Department of Medical Oncology, Mount Vernon Cancer Centre, Northwood, UK
| | - Geke A P Hospers
- Department of Medical Oncology, University Medical Center Groningen, Groningen, The Netherlands
| | - Peter Sasieni
- School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Veronique Bataille
- Department of Twins Research & Genetics Epidemiology, King's College London, London, UK.
- Department of Dermatology, Mount Vernon Cancer Centre, Northwood, UK.
- Department of Dermatology, West Herts NHS Trust, Herts, UK.
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Mario Falchi
- Department of Twins Research & Genetics Epidemiology, King's College London, London, UK.
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Klarić TS, Gudelj I, Santpere G, Sousa AMM, Novokmet M, Vučković F, Ma S, Bečeheli I, Sherwood CC, Ely JJ, Hof PR, Josić D, Lauc G, Sestan N. Human-specific features and developmental dynamics of the brain N-glycome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.11.523525. [PMID: 36711977 PMCID: PMC9882074 DOI: 10.1101/2023.01.11.523525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Comparative "omics" studies have revealed unique aspects of human neurobiology, yet an evolutionary perspective of the brain N-glycome is lacking. Here, we performed multi-regional characterization of rat, macaque, chimpanzee, and human brain N-glycomes using chromatography and mass spectrometry, then integrated these data with complementary glycotranscriptomic data. We found that in primates the brain N-glycome has evolved more rapidly than the underlying transcriptomic framework, providing a mechanism for generating additional diversity. We show that brain N-glycome evolution in hominids has been characterized by an increase in complexity and α(2-6)-linked N-acetylneuraminic acid along with human-specific cell-type expression of key glycogenes. Finally, by comparing the prenatal and adult human brain N-glycome, we identify region-specific neurodevelopmental pathways that lead to distinct spatial N-glycosylation profiles in the mature brain. One-Sentence Summary Evolution of the human brain N-glycome has been marked by an increase in complexity and a shift in sialic acid linkage.
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8
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Mijakovac A, Frkatović A, Hanić M, Ivok J, Martinić Kavur M, Pučić-Baković M, Spector T, Zoldoš V, Mangino M, Lauc G. Heritability of the glycan clock of biological age. Front Cell Dev Biol 2022; 10:982609. [PMID: 36619858 PMCID: PMC9815111 DOI: 10.3389/fcell.2022.982609] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/24/2022] [Indexed: 12/24/2022] Open
Abstract
Immunoglobulin G is posttranslationally modified by the addition of complex N-glycans affecting its function and mediating inflammation at multiple levels. IgG glycome composition changes with age and health in a predictive pattern, presumably due to inflammaging. As a result, a novel biological aging biomarker, glycan clock of age, was developed. Glycan clock of age is the first of biological aging clocks for which multiple studies showed a possibility of clock reversal even with simple lifestyle interventions. However, none of the previous studies determined to which extent the glycan clock can be turned, and how much is fixed by genetic predisposition. To determine the contribution of genetic and environmental factors to phenotypic variation of the glycan clock, we performed heritability analysis on two TwinsUK female cohorts. IgG glycans from monozygotic and dizygotic twin pairs were analyzed by UHPLC and glycan age was calculated using the glycan clock. In order to determine additive genetic, shared, and unique environmental contributions, a classical twin design was applied. Heritability of the glycan clock was calculated for participants of one cross-sectional and one longitudinal cohort with three time points to assess the reliability of measurements. Heritability estimate for the glycan clock was 39% on average, suggesting a moderate contribution of additive genetic factors (A) to glycan clock variation. Remarkably, heritability estimates remained approximately the same in all time points of the longitudinal study, even though IgG glycome composition changed substantially. Most environmental contributions came from shared environmental factors (C), with unique environmental factors (E) having a minor role. Interestingly, heritability estimates nearly doubled, to an average of 71%, when we included age as a covariant. This intervention also inflated the estimates of unique environmental factors contributing to glycan clock variation. A complex interplay between genetic and environmental factors defines alternative IgG glycosylation during aging and, consequently, dictates the glycan clock's ticking. Apparently, environmental factors (including lifestyle choices) have a strong impact on the biological age measured with the glycan clock, which additionally clarifies why this aging clock is one of the most potent biomarkers of biological aging.
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Affiliation(s)
- Anika Mijakovac
- Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | | | - Maja Hanić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Jelena Ivok
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | | | | | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Vlatka Zoldoš
- Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom,NIHR Biomedical Research Centre at Guy’s and St Thoma’s Foundation Trust, London, United Kingdom
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia,Department of Biochemistry and Molecular Biology, Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia,*Correspondence: Gordan Lauc,
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9
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el Bouhaddani S, Uh H, Jongbloed G, Houwing‐Duistermaat J. Statistical integration of heterogeneous omics data: Probabilistic two‐way partial least squares (PO2PLS). J R Stat Soc Ser C Appl Stat 2022. [DOI: 10.1111/rssc.12583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Said el Bouhaddani
- Department of Data Science and Biostatistics UMC Utrecht UtrechtThe Netherlands
| | - Hae‐Won Uh
- Department of Data Science and Biostatistics UMC Utrecht UtrechtThe Netherlands
| | - Geurt Jongbloed
- Delft Institute of Applied Mathematics TU Delft Delft The Netherlands
| | - Jeanine Houwing‐Duistermaat
- Department of Data Science and Biostatistics UMC Utrecht UtrechtThe Netherlands
- Department of Statistics University of Leeds Leeds UK
- Department of Statistical Sciences University of Bologna Bologna Italy
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10
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Multi-block data integration analysis for identifying and validating targeted N-glycans as biomarkers for type II diabetes mellitus. Sci Rep 2022; 12:10974. [PMID: 35768493 PMCID: PMC9243128 DOI: 10.1038/s41598-022-15172-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 04/28/2022] [Indexed: 11/08/2022] Open
Abstract
Plasma N-glycan profiles have been shown to be defective in type II diabetes Mellitus (T2DM) and holds a promise to discovering biomarkers. The study comprised 232 T2DM patients and 219 healthy individuals. N-glycans were analysed by high-performance liquid chromatography. The multivariate integrative framework, DIABLO was employed for the statistical analysis. N-glycan groups (GPs 34, 32, 26, 31, 36 and 30) were significantly expressed in T2DM in component 1 and GPs 38 and 20 were related to T2DM in component 2. Four clusters were observed based on the correlation of the expressive signatures of the 39 N-glycans across T2DM and controls. Cluster A, B, C and D had 16, 16, 4 and 3 N-glycans respectively, of which 11, 8, 1 and 1 were found to express differently between controls and T2DM in a univariate analysis \documentclass[12pt]{minimal}
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\begin{document}$$(p < 0.05)$$\end{document}(p<0.05). Multi-block analysis revealed that trigalactosylated (G3), triantennary (TRIA), high branching (HB) and trisialylated (S3) expressed significantly highly in T2DM than healthy controls. A bipartite relevance network revealed that HB, monogalactosylated (G1) and G3 were central in the network and observed more connections, highlighting their importance in discriminating between T2DM and healthy controls. Investigation of these N-glycans can enhance the understanding of T2DM.
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11
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Petrov VA, Sharapov SZ, Shagam L, Nostaeva AV, Pezer M, Li D, Hanić M, McGovern D, Louis E, Rahmouni S, Lauc G, Georges M, Aulchenko YS. Association Between Human Gut Microbiome and N-Glycan Composition of Total Plasma Proteome. Front Microbiol 2022; 13:811922. [PMID: 35572712 PMCID: PMC9100934 DOI: 10.3389/fmicb.2022.811922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 03/22/2022] [Indexed: 11/13/2022] Open
Abstract
Being one of the most dynamic entities in the human body, glycosylation of proteins fine-tunes the activity of the organismal machinery, including the immune system, and mediates the interaction with the human microbial consortium, typically represented by the gut microbiome. Using data from 194 healthy individuals, we conducted an associational study to uncover potential relations between the gut microbiome and the blood plasma N-glycome, including N-glycome of immunoglobulin G. While lacking strong linkages on the multivariate level, we were able to identify associations between alpha and beta microbiome diversity and the blood plasma N-glycome profile. Moreover, for two bacterial genera, namely, Bilophila and Clostridium innocuum, significant associations with specific glycans were also shown. The study’s results suggest a non-trivial, possibly weak link between the total plasma N-glycome and the gut microbiome, predominantly involving glycans related to the immune system proteins, including immunoglobulin G. Further studies of glycans linked to microbiome-related proteins in well-selected patient groups are required to conclusively establish specific associations.
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Affiliation(s)
- Vyacheslav A. Petrov
- Unit of Animal Genomics, Grappe Interdisciplinaire de Génoprotéomique Appliquée-Institute, University of Liège, Liège, Belgium
- Central Research Laboratory, Ministry of Healthcare of Russian Federation, Federal State Budget Educational Institution of Higher Education, Siberian State Medical University, Tomsk, Russia
| | - Sodbo Zh. Sharapov
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Lev Shagam
- Central Research Laboratory, Ministry of Healthcare of Russian Federation, Federal State Budget Educational Institution of Higher Education, Siberian State Medical University, Tomsk, Russia
| | - Arina V. Nostaeva
- Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Novosibirsk, Russia
| | | | - Dalin Li
- Cedars-Sinai Medical Center, The F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Los Angeles, CA, United States
| | - Maja Hanić
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Dermot McGovern
- Cedars-Sinai Medical Center, The F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Los Angeles, CA, United States
| | - Edouard Louis
- Laboratory of Translational Gastroenterology, Grappe Interdisciplinaire de Génoprotéomique Appliquée-Institute, University of Liège, Liège, Belgium
| | - Souad Rahmouni
- Central Research Laboratory, Ministry of Healthcare of Russian Federation, Federal State Budget Educational Institution of Higher Education, Siberian State Medical University, Tomsk, Russia
| | - Gordan Lauc
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Michel Georges
- Central Research Laboratory, Ministry of Healthcare of Russian Federation, Federal State Budget Educational Institution of Higher Education, Siberian State Medical University, Tomsk, Russia
| | - Yurii S. Aulchenko
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Novosibirsk, Russia
- *Correspondence: Yurii S. Aulchenko,
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12
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Landini A, Trbojević-Akmačić I, Navarro P, Tsepilov YA, Sharapov SZ, Vučković F, Polašek O, Hayward C, Petrović T, Vilaj M, Aulchenko YS, Lauc G, Wilson JF, Klarić L. Genetic regulation of post-translational modification of two distinct proteins. Nat Commun 2022; 13:1586. [PMID: 35332118 PMCID: PMC8948205 DOI: 10.1038/s41467-022-29189-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 03/02/2022] [Indexed: 11/13/2022] Open
Abstract
Post-translational modifications diversify protein functions and dynamically coordinate their signalling networks, influencing most aspects of cell physiology. Nevertheless, their genetic regulation or influence on complex traits is not fully understood. Here, we compare the genetic regulation of the same PTM of two proteins - glycosylation of transferrin and immunoglobulin G (IgG). By performing genome-wide association analysis of transferrin glycosylation, we identify 10 significantly associated loci, 9 of which were not reported previously. Comparing these with IgG glycosylation-associated genes, we note protein-specific associations with genes encoding glycosylation enzymes (transferrin - MGAT5, ST3GAL4, B3GAT1; IgG - MGAT3, ST6GAL1), as well as shared associations (FUT6, FUT8). Colocalisation analyses of the latter suggest that different causal variants in the FUT genes regulate fucosylation of the two proteins. Glycosylation of these proteins is thus genetically regulated by both shared and protein-specific mechanisms.
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Affiliation(s)
- Arianna Landini
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Pau Navarro
- MRC Human Genetics Unit, Institute for Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Yakov A Tsepilov
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Novosibirsk, Russia.,Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Novosibirsk, Russia
| | - Sodbo Z Sharapov
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Novosibirsk, Russia
| | | | - Ozren Polašek
- Department of Public Health, School of Medicine, University of Split, Split, Croatia.,Algebra University College, Zagreb, Croatia
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute for Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Tea Petrović
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Marija Vilaj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Yurii S Aulchenko
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.,Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom. .,MRC Human Genetics Unit, Institute for Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
| | - Lucija Klarić
- MRC Human Genetics Unit, Institute for Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
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13
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Cvetko A, Tijardović M, Bilandžija-Kuš I, Gornik O. Comparison of self-sampling blood collection for N-glycosylation analysis. BMC Res Notes 2022; 15:61. [PMID: 35172879 PMCID: PMC8849020 DOI: 10.1186/s13104-022-05958-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 02/07/2022] [Indexed: 11/27/2022] Open
Abstract
Objective Self-sampling of capillary blood provides easier sample collection, handling, and shipping compared to more invasive blood sampling via venepuncture. Recently, other means of capillary blood collection were introduced to the market, such as Neoteryx sticks and Noviplex cards. We tested the comparability of these two self-sampling methods, alongside dried blood spots (DBS), with plasma acquired from venepunctured blood in N-glycoprofiling of total proteins. We have also tested the intra-day repeatability of the three mentioned self-sampling methods. Capillary blood collection with Neoteryx, Noviplex and DBS was done following the manufacturers’ instructions and N-glycoprofiling of released, fluorescently labelled N-glycans was performed with ultra-performance liquid chromatography. Results Comparability with plasma was assessed by calculating the relative deviance, which was 0.674 for DBS, 0.092 for Neoteryx sticks, and 0.069 for Noviplex cards. In repeatability testing, similar results were obtained, with Noviplex cards and Neoteryx sticks performing substantially better than DBS (CVs = 4.831% and 7.098%, compared to 14.305%, respectively). Our preliminary study on the use of Neoteryx and Noviplex self-sampling devices in glycoanalysis demonstrates their satisfactory performance in both the comparability and repeatability testing, however, they should be further tested in larger collaborations and cohorts. Supplementary Information The online version contains supplementary material available at 10.1186/s13104-022-05958-9.
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Affiliation(s)
- Ana Cvetko
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000, Zagreb, Croatia
| | - Marko Tijardović
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000, Zagreb, Croatia
| | | | - Olga Gornik
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000, Zagreb, Croatia.
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14
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de Haan N, Pučić-Baković M, Novokmet M, Falck D, Lageveen-Kammeijer G, Razdorov G, Vučković F, Trbojević-Akmačić I, Gornik O, Hanić M, Wuhrer M, Lauc G. OUP accepted manuscript. Glycobiology 2022; 32:651-663. [PMID: 35452121 PMCID: PMC9280525 DOI: 10.1093/glycob/cwac026] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 04/02/2022] [Accepted: 04/13/2022] [Indexed: 11/19/2022] Open
Abstract
Glycans expand the structural complexity of proteins by several orders of magnitude, resulting in a tremendous analytical challenge when including them in biomedical research. Recent glycobiological research is painting a picture in which glycans represent a crucial structural and functional component of the majority of proteins, with alternative glycosylation of proteins and lipids being an important regulatory mechanism in many biological and pathological processes. Since interindividual differences in glycosylation are extensive, large studies are needed to map the structures and to understand the role of glycosylation in human (patho)physiology. Driven by these challenges, methods have emerged, which can tackle the complexity of glycosylation in thousands of samples, also known as high-throughput (HT) glycomics. For facile dissemination and implementation of HT glycomics technology, the sample preparation, analysis, as well as data mining, need to be stable over a long period of time (months/years), amenable to automation, and available to non-specialized laboratories. Current HT glycomics methods mainly focus on protein N-glycosylation and allow to extensively characterize this subset of the human glycome in large numbers of various biological samples. The ultimate goal in HT glycomics is to gain better knowledge and understanding of the complete human glycome using methods that are easy to adapt and implement in (basic) biomedical research. Aiming to promote wider use and development of HT glycomics, here, we present currently available, emerging, and prospective methods and some of their applications, revealing a largely unexplored molecular layer of the complexity of life.
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Affiliation(s)
- Noortje de Haan
- Copenhagen Center for Glycomics, University of Copenhagen, Blegdamsvej 3 Copenhagen 2200, Denmark
| | - Maja Pučić-Baković
- Genos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia
| | - Mislav Novokmet
- Genos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia
| | - David Falck
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden 2333ZA, The Netherlands
| | - Guinevere Lageveen-Kammeijer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden 2333ZA, The Netherlands
| | - Genadij Razdorov
- Genos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia
| | - Frano Vučković
- Genos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia
| | | | - Olga Gornik
- Faculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovacica 1, Zagreb 10000, Croatia
| | - Maja Hanić
- Genos, Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb 10000, Croatia
| | - Manfred Wuhrer
- Corresponding author: Albinusdreef 2, Leiden 2333ZA, The Netherlands. . Borongajska cesta 83h, Zagreb 10000, Croatia.
| | - Gordan Lauc
- Corresponding author: Albinusdreef 2, Leiden 2333ZA, The Netherlands. . Borongajska cesta 83h, Zagreb 10000, Croatia.
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15
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Kawahara R, Chernykh A, Alagesan K, Bern M, Cao W, Chalkley RJ, Cheng K, Choo MS, Edwards N, Goldman R, Hoffmann M, Hu Y, Huang Y, Kim JY, Kletter D, Liquet B, Liu M, Mechref Y, Meng B, Neelamegham S, Nguyen-Khuong T, Nilsson J, Pap A, Park GW, Parker BL, Pegg CL, Penninger JM, Phung TK, Pioch M, Rapp E, Sakalli E, Sanda M, Schulz BL, Scott NE, Sofronov G, Stadlmann J, Vakhrushev SY, Woo CM, Wu HY, Yang P, Ying W, Zhang H, Zhang Y, Zhao J, Zaia J, Haslam SM, Palmisano G, Yoo JS, Larson G, Khoo KH, Medzihradszky KF, Kolarich D, Packer NH, Thaysen-Andersen M. Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis. Nat Methods 2021; 18:1304-1316. [PMID: 34725484 DOI: 10.1101/2021.03.14.435332] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 09/22/2021] [Indexed: 05/18/2023]
Abstract
Glycoproteomics is a powerful yet analytically challenging research tool. Software packages aiding the interpretation of complex glycopeptide tandem mass spectra have appeared, but their relative performance remains untested. Conducted through the HUPO Human Glycoproteomics Initiative, this community study, comprising both developers and users of glycoproteomics software, evaluates solutions for system-wide glycopeptide analysis. The same mass spectrometrybased glycoproteomics datasets from human serum were shared with participants and the relative team performance for N- and O-glycopeptide data analysis was comprehensively established by orthogonal performance tests. Although the results were variable, several high-performance glycoproteomics informatics strategies were identified. Deep analysis of the data revealed key performance-associated search parameters and led to recommendations for improved 'high-coverage' and 'high-accuracy' glycoproteomics search solutions. This study concludes that diverse software packages for comprehensive glycopeptide data analysis exist, points to several high-performance search strategies and specifies key variables that will guide future software developments and assist informatics decision-making in glycoproteomics.
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Affiliation(s)
- Rebeca Kawahara
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia
| | - Anastasia Chernykh
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia
| | - Kathirvel Alagesan
- Institute for Glycomics, Griffith University Gold Coast Campus, Southport, QLD, Australia
| | | | - Weiqian Cao
- Institutes of Biomedical Sciences, and the NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, China
| | - Robert J Chalkley
- UCSF, School of Pharmacy, Department of Pharmaceutical Chemistry, San Francisco, CA, USA
| | - Kai Cheng
- State University of New York, Buffalo, NY, USA
| | - Matthew S Choo
- Analytics Group, Bioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore, Singapore
| | - Nathan Edwards
- Clinical and Translational Glycoscience Research Center (CTGRC), Georgetown University, Washington, DC, USA
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, USA
| | - Radoslav Goldman
- Clinical and Translational Glycoscience Research Center (CTGRC), Georgetown University, Washington, DC, USA
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, USA
- Department of Oncology, Georgetown University, Washington, DC, USA
| | - Marcus Hoffmann
- Max Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, Magdeburg, Germany
| | - Yingwei Hu
- Department of Pathology, The Johns Hopkins University, Baltimore, MD, USA
| | - Yifan Huang
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA
| | - Jin Young Kim
- Research Center of Bioconvergence Analysis, Korea Basic Science Institute, Daejeon, Republic of Korea
| | | | - Benoit Liquet
- Department of Mathematics and Statistics, Macquarie University, Sydney, NSW, Australia
- CNRS, Laboratoire de Mathématiques et de leurs Applications de PAU, E2S-UPPA, Pau, France
| | - Mingqi Liu
- Institutes of Biomedical Sciences, and the NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, China
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA
| | - Bo Meng
- State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, China
| | | | - Terry Nguyen-Khuong
- Analytics Group, Bioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore, Singapore
| | - Jonas Nilsson
- Proteomics Core Facility, Sahlgrenska academy, University of Gothenburg, Gothenburg, Sweden
| | - Adam Pap
- BRC, Laboratory of Proteomics Research, Szeged, Hungary
- Doctoral School in Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary
| | - Gun Wook Park
- Research Center of Bioconvergence Analysis, Korea Basic Science Institute, Daejeon, Republic of Korea
| | - Benjamin L Parker
- Department of Anatomy and Physiology, University of Melbourne, Melbourne, VIC, Australia
| | - Cassandra L Pegg
- School of Chemistry and Molecular Biosciences, University of Queensland, Queensland, QLD, Australia
| | - Josef M Penninger
- IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna, Austria
- Department of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada
| | - Toan K Phung
- School of Chemistry and Molecular Biosciences, University of Queensland, Queensland, QLD, Australia
| | - Markus Pioch
- Max Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, Magdeburg, Germany
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, Magdeburg, Germany
- glyXera GmbH, Magdeburg, Germany
| | - Enes Sakalli
- IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna, Austria
| | - Miloslav Sanda
- Clinical and Translational Glycoscience Research Center (CTGRC), Georgetown University, Washington, DC, USA
- Department of Oncology, Georgetown University, Washington, DC, USA
| | - Benjamin L Schulz
- School of Chemistry and Molecular Biosciences, University of Queensland, Queensland, QLD, Australia
| | - Nichollas E Scott
- Deparment of Microbiology and Immunology, University of Melbourne, Melbourne, VIC, Australia
| | - Georgy Sofronov
- Department of Mathematics and Statistics, Macquarie University, Sydney, NSW, Australia
| | - Johannes Stadlmann
- IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna, Austria
| | - Sergey Y Vakhrushev
- Copenhagen Center for Glycomics, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Christina M Woo
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Hung-Yi Wu
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Pengyuan Yang
- Institutes of Biomedical Sciences, and the NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, China
| | - Wantao Ying
- State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, China
| | - Hui Zhang
- Department of Pathology, The Johns Hopkins University, Baltimore, MD, USA
| | - Yong Zhang
- State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, China
| | - Jingfu Zhao
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA
| | - Joseph Zaia
- Department of Biochemistry, Boston University Medical Campus, Boston, MA, USA
| | - Stuart M Haslam
- Department of Life Sciences, Imperial College London, London, UK
| | - Giuseppe Palmisano
- Instituto de Ciências Biomédicas, Departamento de Parasitologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Jong Shin Yoo
- Research Center of Bioconvergence Analysis, Korea Basic Science Institute, Daejeon, Republic of Korea
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Republic of Korea
| | - Göran Larson
- Department of Laboratory Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kai-Hooi Khoo
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
| | - Katalin F Medzihradszky
- UCSF, School of Pharmacy, Department of Pharmaceutical Chemistry, San Francisco, CA, USA
- BRC, Laboratory of Proteomics Research, Szeged, Hungary
| | - Daniel Kolarich
- Institute for Glycomics, Griffith University Gold Coast Campus, Southport, QLD, Australia
| | - Nicolle H Packer
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia
- Institute for Glycomics, Griffith University Gold Coast Campus, Southport, QLD, Australia
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia
| | - Morten Thaysen-Andersen
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia.
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia.
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16
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Neely BA, Palmblad M. Rewinding the Molecular Clock: Looking at Pioneering Molecular Phylogenetics Experiments in the Light of Proteomics. J Proteome Res 2021; 20:4640-4645. [PMID: 34523928 PMCID: PMC8491155 DOI: 10.1021/acs.jproteome.1c00528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
![]()
Science is full of
overlooked and undervalued research waiting
to be rediscovered. Proteomics is no exception. In this perspective,
we follow the ripples from a 1960 study of Zuckerkandl, Jones, and
Pauling comparing tryptic peptides across animal species. This pioneering
work directly led to the molecular clock hypothesis and the ensuing
explosion in molecular phylogenetics. In the decades following, proteins
continued to provide essential clues on evolutionary history. While
technology has continued to improve, contemporary proteomics has strayed
from this larger biological context, rarely comparing species or asking
how protein structure, function, and interactions have evolved. Here
we recombine proteomics with molecular phylogenetics, highlighting
the value of framing proteomic results in a larger biological context
and how almost forgotten research, though technologically surpassed,
can still generate new ideas and illuminate our work from a different
perspective. Though it is infeasible to read all research published
on a large topic, looking up older papers can be surprisingly rewarding
when rediscovering a “gem” at the end of a long citation
chain, aided by digital collections and perpetually helpful librarians.
Proper literature study reduces unnecessary repetition and allows
research to be more insightful and impactful by truly standing on
the shoulders of giants. All data was uploaded to MassIVE (https://massive.ucsd.edu/)
as dataset MSV000087993.
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Affiliation(s)
- Benjamin A Neely
- National Institute of Standards and Technology, Charleston, South Carolina 29412, United States
| | - Magnus Palmblad
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
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17
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Treacy EP, Vencken S, Bosch AM, Gautschi M, Rubio‐Gozalbo E, Dawson C, Nerney D, Colhoun HO, Shakerdi L, Pastores GM, O'Flaherty R, Saldova R. Abnormal N-glycan fucosylation, galactosylation, and sialylation of IgG in adults with classical galactosemia, influence of dietary galactose intake. JIMD Rep 2021; 61:76-88. [PMID: 34485021 PMCID: PMC8411110 DOI: 10.1002/jmd2.12237] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 06/21/2021] [Accepted: 06/22/2021] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Classical galactosemia (CG) (OMIM #230400) is a rare disorder of carbohydrate metabolism, due to deficiency of galactose-1-phosphate uridyltransferase (EC 2.7.7.12). The pathophysiology of the long-term complications, mainly cognitive, neurological, and female infertility remains poorly understood. OBJECTIVES This study investigated (a) the association between specific IgG N-glycosylation biomarkers (glycan peaks and grouped traits) and CG patients (n = 95) identified from the GalNet Network, using hydrophilic interaction ultraperformance liquid chromatography and (b) a further analysis of a GALT c.563A-G/p.Gln188Arg homozygous cohort (n = 49) with correlation with glycan features with patient Full Scale Intelligence Quotient (FSIQ), and (c) with galactose intake. RESULTS A very significant decrease in galactosylation and sialylation and an increase in core fucosylation was noted in CG patients vs controls (P < .005). Bisected glycans were decreased in the severe GALT c.563A-G/p.Gln188Arg homozygous cohort (n = 49) (P < .05). Logistic regression models incorporating IgG glycan traits distinguished CG patients from controls. Incremental dietary galactose intake correlated positively with FSIQ for the p.Gln188Arg homozygous CG cohort (P < .005) for a dietary galactose intake of 500 to 1000 mg/d. Significant improvements in profiles with increased galactose intake were noted for monosialylated, monogalactosylated, and monoantennary glycans. CONCLUSION These results suggest that N-glycosylation abnormalities persist in CG patients on dietary galactose restriction which may be modifiable to a degree by dietary galactose intake.
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Affiliation(s)
- Eileen P. Treacy
- National Centre for Inherited Metabolic Disorders, The Mater Misericordiae University HospitalDublinIreland
- Department of PaediatricsTrinity College DublinDublinIreland
- UCD School of MedicineUniversity College DublinDublinIreland
| | | | - Annet M. Bosch
- Department of Pediatrics, Division of Metabolic DisordersEmma Children's Hospital, Amsterdam Gastroenterology, Endocrinology & Metabolism, Amsterdam UMC, University of AmsterdamAmsterdamThe Netherlands
| | - Matthias Gautschi
- Department of Paediatrics and Institute of Clinical ChemistryInselspital, University Hospital BernBernSwitzerland
| | - Estela Rubio‐Gozalbo
- Department of Pediatrics/Laboratory of Clinical GeneticsMaastricht University Medical CentreMaastrichtThe Netherlands
| | - Charlotte Dawson
- Department of EndocrinologyUniversity Hospitals Birmingham NHS Foundation TrustBirminghamUK
| | - Darragh Nerney
- National Centre for Inherited Metabolic Disorders, The Mater Misericordiae University HospitalDublinIreland
| | - Hugh Owen Colhoun
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and TrainingDublinIreland
| | - Loai Shakerdi
- National Centre for Inherited Metabolic Disorders, The Mater Misericordiae University HospitalDublinIreland
| | - Gregory M. Pastores
- National Centre for Inherited Metabolic Disorders, The Mater Misericordiae University HospitalDublinIreland
| | - Roisin O'Flaherty
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and TrainingDublinIreland
- Department of ChemistryMaynooth UniversityKildareIreland
| | - Radka Saldova
- NIBRT GlycoScience Group, National Institute for Bioprocessing, Research and TrainingDublinIreland
- UCD School of Medicine, College of Health and Agricultural Sciences (CHAS), University College Dublin (UCD)DublinIreland
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18
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Deriš H, Cindrić A, Lauber M, Petrović T, Bielik A, Taron CH, Wingerden M, Lauc G, Trbojević-Akmačić I. Robustness and repeatability of GlycoWorks RapiFluor-MS IgG N-glycan profiling in a long-term high-throughput glycomic study. Glycobiology 2021; 31:1062-1067. [PMID: 34132802 DOI: 10.1093/glycob/cwab050] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 05/16/2021] [Accepted: 05/27/2021] [Indexed: 12/25/2022] Open
Abstract
Protein glycosylation is the attachment of a carbohydrate moiety to a protein backbone affecting both structure and function of the protein. Abnormal glycosylation is associated with various diseases, and some of the changes in glycosylation are detectable even before symptom development. As such, glycans have emerged as compelling new biomarker candidates. A wide range of analytical methods exist for small-scale glycan analyses. However, there is a growing need for highly robust and reproducible high-throughput techniques that allow for large-scale glycoprofiling. Here we describe the evaluation of robustness and repeatability of immunoglobulin G (IgG) N-glycan analysis using the GlycoWorks RapiFluor-MS N-Glycan Kit followed by hydrophilic interaction ultra-high-performance liquid chromatography (HILIC-UHPLC) from 335 technical replicates of human plasma randomly distributed across 67 96-well plates. The data was collected over a five-month period using multiple UHPLC systems and chromatographic columns. Following relative IgG N-glycan quantification in acquired chromatograms, data analysis showed that the most abundant peaks that together made up for three fourths of the detected IgG N-glycome all had coefficients of variation (CVs) lower than 2 percent. The highest CVs ranging from 16 to 29 percent accompanied low abundance glycan peaks with the individual relative peak area below 1 percent that together made up for less than 2 percent of the detected IgG N-glycome. These results show that the tested method is very robust and repeatable, making it suitable for the IgG N-glycan analysis of a large number of samples in a high-throughput manner over a longer period of time.
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Affiliation(s)
- Helena Deriš
- Genos Glycoscience Research Laboratory, 10000 Zagreb, Croatia
| | - Ana Cindrić
- Genos Glycoscience Research Laboratory, 10000 Zagreb, Croatia
| | - Matthew Lauber
- Waters Corporation, 34 Maple Street, Milford, Massachusetts 01757-3696, United States
| | - Tea Petrović
- Genos Glycoscience Research Laboratory, 10000 Zagreb, Croatia
| | - Alicia Bielik
- New England Biolabs, 240 County Road, Ipswich, Massachusetts 01938-2723, United States
| | - Christopher H Taron
- New England Biolabs, 240 County Road, Ipswich, Massachusetts 01938-2723, United States
| | - Marleen Wingerden
- Waters Corporation, 34 Maple Street, Milford, Massachusetts 01757-3696, United States
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, 10000 Zagreb, Croatia.,University of Zagreb, Faculty of Pharmacy and Biochemistry, 10000 Zagreb, Croatia
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19
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Yu X, Wang W. A Rapidly Aging World in the 21st Century: Hopes from Glycomics and Unraveling the Biomarkers of Aging with the Sugar Code. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2021; 25:242-248. [PMID: 33794663 DOI: 10.1089/omi.2021.0016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
A global rise in life expectancy comes with an increased burden of serious life-long health issues and the need for useful real-time measures of the aging processes. Studies have shown the value of biochemical signatures of immunoglobulin G (IgG) N-glycosylation as clinically relevant biomarkers to differentiate healthy from accelerated aging. Most human biological processes rely on glycosylation of proteins to regulate their function, but these events appear sensitive to environmental changes, age, and the presence of disease. Specifically, variations in N-glycosylation of IgG can adversely affect inflammatory pathways underpinning unhealthy aging and chronic disease pathogenesis. This expert review highlights the discrepancies between an organism's age in years of life (chronological age) versus age in terms of health status (biological age). The article examines and synthesizes the studies on IgG N-glycan profiles and the third alphabet of life, the sugar code, in relation to their relevance as dynamic indicators of aging, and to differentiate between normal and accelerated aging. The levels of N-glycan structures change with aging, suggesting that monitoring the alterations of serum glycan biosignatures with glycomics might allow real-time studies of human aging in the near future. Glycomics brings in yet another systems science technology platform to strengthen the emerging multiomics studies of aging and aging-related diseases.
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Affiliation(s)
- Xinwei Yu
- Department of Infection Control, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wei Wang
- Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- School of Public Health, Shandong First Medical University, Tai'an, China
- First Affiliated Hospital, Shantou University Medical College, Shantou, China
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20
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Gautam S, Banazadeh A, Cho BG, Goli M, Zhong J, Mechref Y. Mesoporous Graphitized Carbon Column for Efficient Isomeric Separation of Permethylated Glycans. Anal Chem 2021; 93:5061-5070. [DOI: 10.1021/acs.analchem.0c04395] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Sakshi Gautam
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States
| | - Alireza Banazadeh
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States
| | - Byeong Gwan Cho
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States
| | - Mona Goli
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States
| | - Jieqiang Zhong
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States
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21
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Sharapov SZ, Shadrina AS, Tsepilov YA, Elgaeva EE, Tiys ES, Feoktistova SG, Zaytseva OO, Vuckovic F, Cuadrat R, Jäger S, Wittenbecher C, Karssen LC, Timofeeva M, Tillin T, Trbojević-Akmačić I, Štambuk T, Rudman N, Krištić J, Šimunović J, Momčilović A, Vilaj M, Jurić J, Slana A, Gudelj I, Klarić T, Puljak L, Skelin A, Kadić AJ, Van Zundert J, Chaturvedi N, Campbell H, Dunlop M, Farrington SM, Doherty M, Dagostino C, Gieger C, Allegri M, Williams F, Schulze MB, Lauc G, Aulchenko YS. Replication of 15 loci involved in human plasma protein N-glycosylation in 4802 samples from four cohorts. Glycobiology 2021; 31:82-88. [PMID: 32521004 PMCID: PMC7874387 DOI: 10.1093/glycob/cwaa053] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/27/2020] [Accepted: 06/08/2020] [Indexed: 12/17/2022] Open
Abstract
Human protein glycosylation is a complex process, and its in vivo regulation is poorly understood. Changes in glycosylation patterns are associated with many human diseases and conditions. Understanding the biological determinants of protein glycome provides a basis for future diagnostic and therapeutic applications. Genome-wide association studies (GWAS) allow to study biology via a hypothesis-free search of loci and genetic variants associated with a trait of interest. Sixteen loci were identified by three previous GWAS of human plasma proteome N-glycosylation. However, the possibility that some of these loci are false positives needs to be eliminated by replication studies, which have been limited so far. Here, we use the largest set of samples so far (4802 individuals) to replicate the previously identified loci. For all but one locus, the expected replication power exceeded 95%. Of the 16 loci reported previously, 15 were replicated in our study. For the remaining locus (near the KREMEN1 gene), the replication power was low, and hence, replication results were inconclusive. The very high replication rate highlights the general robustness of the GWAS findings as well as the high standards adopted by the community that studies genetic regulation of protein glycosylation. The 15 replicated loci present a good target for further functional studies. Among these, eight loci contain genes encoding glycosyltransferases: MGAT5, B3GAT1, FUT8, FUT6, ST6GAL1, B4GALT1, ST3GAL4 and MGAT3. The remaining seven loci offer starting points for further functional follow-up investigation into molecules and mechanisms that regulate human protein N-glycosylation in vivo.
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Affiliation(s)
- Sodbo Zh Sharapov
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Alexandra S Shadrina
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Yakov A Tsepilov
- Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Pirogova 1, Novosibirsk, 630090, Russia
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Elizaveta E Elgaeva
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Evgeny S Tiys
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Sofya G Feoktistova
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Olga O Zaytseva
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Frano Vuckovic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Rafael Cuadrat
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), ngolstädter Landstraβe 1, Neuherberg, 85764, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), ngolstädter Landstraβe 1, Neuherberg, 85764, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | | | - Maria Timofeeva
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
- D-IAS, Danish Institute for Advanced Study, Department of Public Health, University of Southern Denmark, , J.B. Winsløws Vej 9, DK-5000 Odense C, Denmark
| | - Therese Tillin
- MRC Unit for Lifelong Health & Ageing University College London, Gower Street, London, WC1E 6BT, UK
| | | | - Tamara Štambuk
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Najda Rudman
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, 10000, Croatia
| | - Jasminka Krištić
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Jelena Šimunović
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Ana Momčilović
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Marija Vilaj
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Julija Jurić
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Anita Slana
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Thomas Klarić
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Livia Puljak
- Catholic University of Croatia, Ilica, 242 Zagreb, 10000, Croatia
| | - Andrea Skelin
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
- St. Catherine Specialty Hospital, 10000 Zagreb & 49210, Zabok, Croatia
| | - Antonia Jeličić Kadić
- University Hospital Center Split, Department of Pediatrics, Spinčićeva ul. 1, Split, 21000, Croatia
| | - Jan Van Zundert
- Department of Anesthesiology and Multidisciplinary Paincentre, ZOL, Genk/Lanaken, Belgium
- Department of Anesthesiology and Pain Medicine, Maastricht University Medical Centre, P. Debyelaan 25, Maastricht, 6229 HX, The Netherlands
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health & Ageing University College London, Gower Street, London, WC1E 6BT, UK
| | - Harry Campbell
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Malcolm Dunlop
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Susan M Farrington
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Margaret Doherty
- Institute of Technology Sligo, Department of Life Sciences, Ash Ln, Bellanode, Sligo, F91 YW50, Ireland
- National Institute for Bioprocessing Research & Training, 24 Foster’s Ave, Belfield, Blackrock, Co.,Dublin, A94 X099, Ireland
| | - Concetta Dagostino
- Department of Medicine and Surgery, University of Parma, Via Gramsci 14, 43126 Parma, Italy
| | - Christian Gieger
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Centre Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
| | - Massimo Allegri
- Pain Therapy Department Policlinico Monza Hospital, 20090 Monza, Italy
| | - Frances Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, St Thomas’ Campus, Lambeth Palace Road, London SE1 7EH, UK
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), ngolstädter Landstraβe 1, Neuherberg, 85764, Germany
- Institute of Nutrition Science, University of Potsdam, 14558 Nuthetal, Germany
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Yurii S Aulchenko
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
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22
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Abstract
Human lifespan has increased significantly in the last 200 years, emphasizing our need to age healthily. Insights into molecular mechanisms of aging might allow us to slow down its rate or even revert it. Similar to aging, glycosylation is regulated by an intricate interplay of genetic and environmental factors. The dynamics of glycopattern variation during aging has been mostly explored for plasma/serum and immunoglobulin G (IgG) N-glycome, as we describe thoroughly in this chapter. In addition, we discuss the potential functional role of agalactosylated IgG glycans in aging, through modulation of inflammation level, as proposed by the concept of inflammaging. We also comment on the potential to use the plasma/serum and IgG N-glycome as a biomarker of healthy aging and on the interventions that modulate the IgG glycopattern. Finally, we discuss the current knowledge about animal models for human plasma/serum and IgG glycosylation and mention other, less explored, instances of glycopattern changes during organismal aging and cellular senescence.
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23
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Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis. Nat Methods 2021; 18:1304-1316. [PMID: 34725484 PMCID: PMC8566223 DOI: 10.1038/s41592-021-01309-x] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 09/22/2021] [Indexed: 12/17/2022]
Abstract
Glycoproteomics is a powerful yet analytically challenging research tool. Software packages aiding the interpretation of complex glycopeptide tandem mass spectra have appeared, but their relative performance remains untested. Conducted through the HUPO Human Glycoproteomics Initiative, this community study, comprising both developers and users of glycoproteomics software, evaluates solutions for system-wide glycopeptide analysis. The same mass spectrometrybased glycoproteomics datasets from human serum were shared with participants and the relative team performance for N- and O-glycopeptide data analysis was comprehensively established by orthogonal performance tests. Although the results were variable, several high-performance glycoproteomics informatics strategies were identified. Deep analysis of the data revealed key performance-associated search parameters and led to recommendations for improved 'high-coverage' and 'high-accuracy' glycoproteomics search solutions. This study concludes that diverse software packages for comprehensive glycopeptide data analysis exist, points to several high-performance search strategies and specifies key variables that will guide future software developments and assist informatics decision-making in glycoproteomics.
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24
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CDG biochemical screening: Where do we stand? Biochim Biophys Acta Gen Subj 2020; 1864:129652. [DOI: 10.1016/j.bbagen.2020.129652] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 05/18/2020] [Accepted: 05/28/2020] [Indexed: 12/22/2022]
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25
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Vilaj M, Lauc G, Trbojević-Akmačić I. Evaluation of different PNGase F enzymes in immunoglobulin G and total plasma N-glycans analysis. Glycobiology 2020; 31:2-7. [PMID: 32472132 DOI: 10.1093/glycob/cwaa047] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 05/21/2020] [Accepted: 05/23/2020] [Indexed: 01/23/2023] Open
Abstract
Glycoproteins, proteins that are co- and posttranslationally modified by sugars (glycans), have significant roles in pathophysiology of many different diseases. One of the main steps in sample preparation for free N-glycan analysis is deglycosylation or glycan removal. The aim of this study was to compare different peptide N-glycosidase F (PNGase F) enzymes (Rapid PNGase F and two recombinant versions) for deglycosylation of total human plasma glycoproteins and different amounts of human immunoglobulin G (IgG). Deglycosylation with different PNGase F enzymes resulted in different IgG and plasma N-glycosylation hydrophilic interaction liquid chromatography ultra-performance liquid chromatography profiles. Additionally, one recombinant version of PNGase F is more efficient in deglycosylation of complex N-glycans compared with Rapid PNGase F and recombinant version of PNGase F from a different manufacturer. In terms of chromatographic peak intensities and coefficient of variation %Area values, all tested versions of PNGase F enzymes were very reproducible and on the similar level when used in optimal conditions. However, care should be taken in terms of which enzyme is used with which protocol, particularly when scaling up.
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Affiliation(s)
- Marija Vilaj
- Glycoscience Research Laboratory, Genos Ltd., 10000 Zagreb, Croatia
| | - Gordan Lauc
- Glycoscience Research Laboratory, Genos Ltd., 10000 Zagreb, Croatia.,Faculty of Pharmacy and Biochemistry, University of Zagreb, 10000 Zagreb, Croatia
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