Skip to main content
SpringerLink
Log in

The Rapidly Expanding Nexus of Immunoglobulin G N-Glycomics, Suboptimal Health Status, and Precision Medicine

  • Chapter
  • First Online:
Antibody Glycosylation

Part of the book series: Experientia Supplementum ((EXS,volume 112))

Abstract

Immunoglobulin G is a prevalent glycoprotein, whose downstream immune responses are partially mediated by the N-glycans within the fragment crystallisable domain. Collectively termed the N-glycome, it is considered a complex intermediate phenotype: an amalgamation of genetic predisposition, environmental exposure, and health behaviours over the life-course. Thus, the immunoglobulin G N-glycome may provide an indication of health status on the spectrum from health to disease and infirmary. Although variability exists within and between populations, composition of the immunoglobulin G N-glycome remains stable over short periods of time. This underscores the potential of harnessing the immunoglobulin G N-glycome as an ideal tool for preclinical disease risk prediction, stratification, and prognosis through the development of precise dynamic biomarkers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 149.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 149.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

A/G Ratio:

Android/Gynoid Ratio

AD:

Alzheimer’s disease

ADCC:

Antibody-dependent cell cytotoxicity

BMI:

Body mass index

BP:

Blood pressure

CCA:

Canonical correlation analysis

CH:

Constant heavy

CL:

Constant light

CRP:

C-reactive protein

Fab:

Fragment antigen binding

FBG:

Fasting blood glucose

Fc:

Fragment crystallisable

FcR:

Fragment crystallisable receptor

gQTL:

Quantitative trait loci of N-glycosylation

GWAS:

Genome-wide association study

HDL:

High-density lipoprotein

IBD:

Inflammatory bowel disease

ICD:

International Classification of Diseases

IgG:

Immunoglobulin G

LDL:

Low-density lipoprotein

MBL:

Mannose-binding lectin

MetS:

Metabolic syndrome

PD:

Parkinson’s disease

PTM:

Post-translational modification

RA:

Rheumatoid arthritis

SHS:

Suboptimal health status

SLE:

Systemic lupus erythematosus

T2DM:

Type-2 diabetes mellitus

TC:

Total cholesterol

TG:

Triglycerides

UPLC:

Ultra-performance liquid chromatography

VH:

Variable heavy

VL:

Variable light

WHO:

World Health Organisation

WHR:

Waist-to-hip ratio

WHtR:

Waist-to-height ratio

References

  • Adua E, Russell A, Roberts P, Wang Y, Song M, Wang W (2017a) Innovation analysis on postgenomic biomarkers: glycomics for chronic diseases. OMICS 21(4):183–196

    Article  CAS  PubMed  Google Scholar 

  • Adua E, Roberts P, Wang WJEJ (2017b) Incorporation of suboptimal health status as a potential risk assessment for type II diabetes mellitus: a case-control study in a Ghanaian population. EPMA J 8(4):345–355

    Article  PubMed  PubMed Central  Google Scholar 

  • Adua E, Anto EO, Roberts P, Kantanka OS, Aboagye E, Wang W (2018) The potential of N-glycosylation profiles as biomarkers for monitoring the progression of type II diabetes mellitus towards diabetic kidney disease. J Diabetes Metab Disord 17(2):233–246

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Adua E, Afrifa-Yamoah E, Frimpong K, Adama E, Karthigesu SP, Anto EO et al (2020) Construct validity of the suboptimal health status Questionnaire-25 in a Ghanaian population

    Google Scholar 

  • Ahmed AA, Giddens J, Pincetic A, Lomino JV, Ravetch JV, Wang L-X et al (2014) Structural characterization of anti-inflammatory immunoglobulin G Fc proteins. J Mol Biol 426(18):3166–3179

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • AIHW (2012) Risk factors contributing to chronic disease. Canberra, AIHW

    Google Scholar 

  • Alissa EM, Maisa’a M, Alama NA, Ferns GA (2016) Role of omentin-1 and C-reactive protein in obese subjects with subclinical inflammation. J Clin Transl Endocrinol 3:7–11

    PubMed  Google Scholar 

  • Anto EO, Roberts P, Coall D, Turpin CA, Adua E, Wang Y et al (2019) Integration of suboptimal health status evaluation as a criterion for prediction of preeclampsia is strongly recommended for healthcare management in pregnancy: a prospective cohort study in a Ghanaian population. EPMA J 10(3):211–226

    Article  PubMed  PubMed Central  Google Scholar 

  • Baković MP, Selman MHJ, Hoffmann M, Rudan I, Campbell H, Deelder AM et al (2013) High-throughput IgG fc N-glycosylation profiling by mass spectrometry of glycopeptides. J Proteome Res 12(2):821–831

    Article  PubMed  CAS  Google Scholar 

  • Bennett H (2019) Life is sweet. New Scientist 241(3223):34–37

    Article  Google Scholar 

  • Bondt A, Selman MHJ, Deelder AM, Hazes JMW, Willemsen SP, Wuhrer M et al (2013) Association between galactosylation of immunoglobulin G and improvement of rheumatoid arthritis during pregnancy is independent of sialylation. J Proteome Res 12(10):4522–4531

    Article  CAS  PubMed  Google Scholar 

  • Bondt A, Rombouts Y, Selman MHJ, Hensbergen PJ, Reiding KR, Hazes JMW et al (2014) Immunoglobulin G (IgG) fab glycosylation analysis using a new mass spectrometric high-throughput profiling method reveals pregnancy-associated changes. Mol Cell Proteomics 13(11):3029–3039

    CAS  PubMed  PubMed Central  Google Scholar 

  • Callahan D (1973) The WHO definition of ‘Health’. Hast Cent Stud 1(3):77–87

    Article  CAS  Google Scholar 

  • Chen G, Wang Y, Qiu L, Qin X, Liu H, Wang X et al (2012) Human IgG Fc-glycosylation profiling reveals associations with age, sex, female sex hormones and thyroid cancer. J Proteome 75(10):2824–2834

    Article  CAS  Google Scholar 

  • Collins FS, McKusick VA (2001) Implications of the human genome project for medical science. JAMA 285(5):540–544

    Article  CAS  PubMed  Google Scholar 

  • Dekkers G, Treffers L, Plomp R, Bentlage AEH, de Boer M, Koeleman CAM et al (2017) Decoding the human immunoglobulin G-glycan repertoire reveals a spectrum of fc-receptor- and complement-mediated-effector activities. Front Immunol 8(877)

    Google Scholar 

  • Dekkers G, Rispens T, Vidarsson G (2018) Novel concepts of altered immunoglobulin g galactosylation in autoimmune diseases. Front Immunol 9(553)

    Google Scholar 

  • Díaz-Redondo A, Giráldez-García C, Carrillo L, Serrano R, García-Soidán FJ, Artola S et al (2015) Modifiable risk factors associated with prediabetes in men and women: a cross-sectional analysis of the cohort study in primary health care on the evolution of patients with prediabetes (PREDAPS-study). BMC Fam Pract 16(1):5

    Article  PubMed  PubMed Central  Google Scholar 

  • Engdahl C, Raufer J, Harre U, Bondt A, Pfeifle R, Krönke G et al (2017) SAT0019 Estrogen influences the sialylation profile and inflammatory properties of antibodies – a potential explanation for the sex differences and increased risk for ra in postmenopausal women. Ann Rheum Dis 76(Suppl 2):775

    Google Scholar 

  • Ercan A, Kohrt WM, Cui J, Deane KD, Pezer M, Yu EW et al (2017) Estrogens regulate glycosylation of IgG in women and men. JCI Insight 2(4)

    Google Scholar 

  • Festa A, D’Agostino Jr R, Williams K, Karter A, Mayer-Davis E, Tracy R et al (2001) The relation of body fat mass and distribution to markers of chronic inflammation. Int J Obes Relat Metab Disord 25(10)

    Google Scholar 

  • Fiala M, Mahanian M, Rosenthal M, Mizwicki MT, Tse E, Cho T et al (2011) MGAT3 mRNA: a biomarker for prognosis and therapy of Alzheimer’s disease by vitamin D and curcuminoids. J Alzheimers Dis 25(1):135–144

    Article  CAS  PubMed  Google Scholar 

  • Fontana L, Eagon JC, Trujillo ME, Scherer PE, Klein S (2007) Visceral fat adipokine secretion is associated with systemic inflammation in obese humans. Diabetes 56(4):1010–1013

    Article  CAS  PubMed  Google Scholar 

  • Fujita T (2002) Evolution of the lectin–complement pathway and its role in innate immunity. Nat Rev Immunol 2(5):346–353

    Article  CAS  PubMed  Google Scholar 

  • Gaens KH, Ferreira I, Van De Waarenburg MP, van Greevenbroek MM, Van Der Kallen CJ, Dekker JM et al (2015) Protein-bound plasma Nε-(carboxymethyl) lysine is inversely associated with central obesity and inflammation and significantly explain a part of the central obesity–related increase in inflammation: the Hoorn and CODAM studies. Arterioscler Thromb Vasc Biol 35(12):2707–2713

    Article  CAS  PubMed  Google Scholar 

  • Ge S, Wang Y, Song M, Li X, Yu X, Wang H et al (2018) Type 2 diabetes mellitus: integrative analysis of multiomics data for biomarker discovery. OMICS 22(7):514–523

    Article  CAS  PubMed  Google Scholar 

  • Gong H, Fang L, Li Y, Du J, Zhou B, Wang X et al (2018) miR873 inhibits colorectal cancer cell proliferation by targeting TRAF5 and TAB1. Oncol Rep 39(3):1090–1098

    CAS  PubMed  PubMed Central  Google Scholar 

  • Horvat T, Zoldoš V, Lauc G (2011) Evolutional and clinical implications of the epigenetic regulation of protein glycosylation. Clin Epigenetics 2(2):425–432

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Hsieh C-J, Wang P-W, Chen T-Y (2014) The relationship between regional abdominal fat distribution and both insulin resistance and subclinical chronic inflammation in non-diabetic adults. Diabetol Metab Syndr 6(1):49

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Iatropoulos P, Gardella R, Valsecchi P, Magri C, Ratti C, Podavini D et al (2009) Association study and mutational screening of SYNGR1 as a candidate susceptibility gene for schizophrenia. Psychiatr Genet 19(5):237–243

    Article  PubMed  Google Scholar 

  • Ioan-Facsinay A, de Kimpe SJ, Hellwig SMM, van Lent PL, Hofhuis FMA, van Ojik HH et al (2002) FcγRI (CD64) contributes substantially to severity of arthritis, hypersensitivity responses, and protection from bacterial infection. Immunity 16(3):391–402

    Article  CAS  PubMed  Google Scholar 

  • Jadad AR, O’Grady L (2008) How should health be defined? BMJ 337:a2900

    Article  PubMed  Google Scholar 

  • Johnson JL, Jones MB, Ryan SO, Cobb BAJT (2013) The regulatory power of glycans and their binding partners in immunity. Trends Immunol 34(6):290–298

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Keser T, Vučković F, Barrios C, Zierer J, Wahl A, Akinkuolie AO et al (2017) Effects of statins on the immunoglobulin G glycome. Biochim Biophys Acta Gen Subj 1861(5):1152–1158

    Article  CAS  PubMed  Google Scholar 

  • Klarić L, Tsepilov YA, Stanton CM, Mangino M, Sikka TT, Esko T et al (2020) Glycosylation of immunoglobulin G is regulated by a large network of genes pleiotropic with inflammatory diseases. Sci Adv 6(8):eaax0301

    Google Scholar 

  • Klasic M, Markulin D, Vojta A, Samarzija I, Birus I, Dobrinic P et al (2018) Promoter methylation of the MGAT3 and BACH2 genes correlates with the composition of the immunoglobulin G glycome in inflammatory bowel disease. Clin Epigenetics 10:75

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Knuchel-Takano A, Hunt D, Jaccard A, Bhimjiyani A, Brown M, Retat L et al (2018) Modelling the implications of reducing smoking prevalence: the benefits of increasing the UK tobacco duty escalator to public health and economic outcomes. Tob Control 27(e2):e124–e1e9

    Article  PubMed  Google Scholar 

  • Kohler RS, Anugraham M, López MN, Xiao C, Schoetzau A, Hettich T et al (2016) Epigenetic activation of MGAT3 and corresponding bisecting GlcNAc shortens the survival of cancer patients. Oncotarget 7(32):51674–51686

    Article  PubMed  PubMed Central  Google Scholar 

  • Koster A, Stenholm S, Alley DE, Kim LJ, Simonsick EM, Kanaya AM et al (2010) Body fat distribution and inflammation among obese older adults with and without metabolic syndrome. Obesity 18(12):2354–2361

    Article  CAS  PubMed  Google Scholar 

  • Krause I, Wu R, Sherer Y, Patanik M, Peter J, Shoenfeld Y (2002) In vitro antiviral and antibacterial activity of commercial intravenous immunoglobulin preparations–a potential role for adjuvant intravenous immunoglobulin therapy in infectious diseases. Transfusion Med 12(2):133–139

    Google Scholar 

  • Krištić J, Vučković F, Menni C, Klarić L, Keser T, Beceheli I et al (2014) Glycans are a novel biomarker of chronological and biological ages. J Gerontol A Biol Sci Med Sci 69(7):779–789

    Article  PubMed  CAS  Google Scholar 

  • Kuhn B, Benz J, Greif M, Engel AM, Sobek H, Rudolph MG (2013) The structure of human alpha-2,6-sialyltransferase reveals the binding mode of complex glycans. Acta Crystallogr D Biol Crystallogr 69(Pt 9):1826–1838

    Article  CAS  PubMed  Google Scholar 

  • Kupaev V, Borisov O, Marutina E, Yan Y-X, Wang WJEJ (2016) Integration of suboptimal health status and endothelial dysfunction as a new aspect for risk evaluation of cardiovascular disease. EPMA J 7(1):19

    Article  PubMed  PubMed Central  Google Scholar 

  • Lauc G, Huffman JE, Pučić M, Zgaga L, Adamczyk B, Mužinić A et al (2013) Loci associated with N-glycosylation of human immunoglobulin G show pleiotropy with autoimmune diseases and haematological cancers. PLoS One 9(1):e1003225

    CAS  Google Scholar 

  • Lemmers RF, Vilaj M, Urda D, Agakov F, Šimurina M, Klaric L et al (2017) IgG glycan patterns are associated with type 2 diabetes in independent European populations. Biochim Biophys Acta Gen Subj 1861(9):2240–2249

    Article  CAS  PubMed  Google Scholar 

  • Li X, Wang H, Russell A, Cao W, Wang X, Ge S et al (2019) Type 2 diabetes mellitus is associated with the immunoglobulin G N-glycome through putative proinflammatory mechanisms in an Australian population. OMICS (Ahead of print)

    Google Scholar 

  • Liu D, Chu X, Wang H, Dong J, Ge S-Q, Zhao Z-Y et al (2018a) The changes of immunoglobulin G N-glycosylation in blood lipids and dyslipidaemia. J Transl Med 16(1):235

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Liu JN, Dolikun M, Štambuk J, Trbojević-Akmačić I, Zhang J, Wang H et al (2018b) The association between subclass-specific IgG Fc N-glycosylation profiles and hypertension in the Uygur, Kazak, Kirgiz, and Tajik populations. J Hum Hypertens

    Google Scholar 

  • Liu D, Chu X, Wang H, Dong J, Ge S-Q, Zhao Z-Y et al (2018c) The changes of immunoglobulin GN-glycosylation in blood lipids and dyslipidaemia. J Transl Med 16(1):235

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Liu D, Zhao Z, Wang A, Ge S, Wang H, Zhang X et al (2018d) Ischemic stroke is associated with the pro-inflammatory potential of N-glycosylated immunoglobulin G. J Neuroinflammation 15(1):123

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Liu J, Dolikun M, Štambuk J, Trbojević-Akmačić I, Zhang J, Zhang J et al (2019) Glycomics for type 2 diabetes biomarker discovery: promise of immunoglobulin G subclass-specific fragment crystallizable N-glycosylation in the Uyghur population. OMICS: J Integr Biol 23(12):640–648

    Article  CAS  Google Scholar 

  • Lu J-P, Knezevic A, Wang Y-X, Rudan I, Campbell H, Zou Z-K et al (2011) Screening novel biomarkers for metabolic syndrome by profiling human plasma N-glycans in Chinese Han and Croatian populations. J Proteome Res 10(11):4959–4969

    Article  CAS  PubMed  Google Scholar 

  • Lundström SL, Yang H, Lyutvinskiy Y, Rutishauser D, Herukka S-K, Soininen H et al (2013) Blood plasma IgG Fc glycans are significantly altered in Alzheimer’s disease and progressive mild cognitive impairment. J Alzheimers Dis 38(3):567–579

    Article  CAS  Google Scholar 

  • Malhotra R, Wormald MR, Rudd PM, Fischer PB, Dwek RA, Sim RB (1995) Glycosylation changes of IgG associated with rheumatoid arthritis can activate complement via the mannose-binding protein. Nat Med 1(3):237–243

    Article  CAS  PubMed  Google Scholar 

  • Meany DL, Chan DW (2011) Aberrant glycosylation associated with enzymes as cancer biomarkers. Clin Proteomics 8(7):10.1186

    Google Scholar 

  • Menni C, Keser T, Mangino M, Bell JT, Erte I, Akmačić I et al (2013) Glycosylation of immunoglobulin g: role of genetic and epigenetic influences. PLoS One 8(12):e82558

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Menni C, Gudelj I, MacDonald-Dunlop E, Mangino M, Zierer J, Bešić E et al (2018) Glycosylation profile of immunoglobulin G is cross-sectionally associated with cardiovascular disease risk score and subclinical atherosclerosis in two independent cohorts. Circ Res 122(11):1555–1564

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Nimmerjahn F, Anthony RM, Ravetch JV (2007) Agalactosylated IgG antibodies depend on cellular Fc receptors for in vivo activity. PNAS 104(20):8433–8437

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Novokmet M, Lukić E, Vučković F, Durić Ž, Keser T, Rajšl K et al (2014) Changes in IgG and total plasma protein glycomes in acute systemic inflammation. Scientific Rep 4:4347

    Article  CAS  Google Scholar 

  • Panagiotakos DB, Pitsavos C, Yannakoulia M, Chrysohoou C, Stefanadis C (2005) The implication of obesity and central fat on markers of chronic inflammation: the ATTICA study. Atherosclerosis 183(2):308–315

    Article  CAS  PubMed  Google Scholar 

  • Perkovic MN, Bakovic MP, Kristic J, Novokmet M, Huffman JE, Vitart V et al (2014) The association between galactosylation of immunoglobulin G and body mass index. Prog Neuro-Psychoph 48:20–25

    Article  CAS  Google Scholar 

  • Pincetic A, Bournazos S, DiLillo DJ, Maamary J, Wang TT, Dahan R et al (2014) Type I and type II Fc receptors regulate innate and adaptive immunity. Nat Immunol 15(8):707–716

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Plomp R, Ruhaak LR, Uh H-W, Reiding KR, Selman M, Houwing-Duistermaat JJ et al (2017) Subclass-specific IgG glycosylation is associated with markers of inflammation and metabolic health. Sci Rep 7(1):12325

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Pučić M, Knežević A, Vidič J, Adamczyk B, Novokmet M, Polašek O et al (2011) High throughput isolation and glycosylation analysis of IgG–variability and heritability of the IgG glycome in three isolated human populations. Mol Cell Proteomics 10(10):M111.010090

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Quast I, Lünemann JD (2014) Fc glycan-modulated immunoglobulin G effector functions. J Clin Immunol 34(1):51–55

    Article  CAS  Google Scholar 

  • Quast I, Peschke B, Lünemann JD (2017) Regulation of antibody effector functions through IgG Fc N-glycosylation. Cell Mol Life Sci 74(5):837–847

    Article  CAS  PubMed  Google Scholar 

  • Rabinovich Gabriel A, Croci DO (2012) Regulatory circuits mediated by lectin-glycan interactions in autoimmunity and cancer. Immunity 36(3):322–335

    Article  CAS  PubMed  Google Scholar 

  • Ruhaak LR, Uh H-W, Beekman M, Koeleman C, Hokke CH, Westendorp R et al (2010) Decreased levels of bisecting GlcNAc glycoforms of IgG are associated with human longevity. PLoS One 5(9):e12566

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Russell A (2020) Quantifying the heterogeneity of the immunoglobulin G N-glycome in an ageing Australian population: the Busselton healthy ageing study: Edith Cowan University

    Google Scholar 

  • Russell A, Šimurina M, Garcia M, Novokmet M, Wang Y, Rudan I et al (2017) The N-glycosylation of immunoglobulin G as a novel biomarker of Parkinson’s disease. Glycobiology 27(5):501–510

    Article  CAS  PubMed  Google Scholar 

  • Russell A, Adua E, Ugrina I, Laws S, Wang W (2018) Unravelling immunoglobulin G Fc N-glycosylation: a dynamic marker potentiating predictive, preventive and personalised medicine. Int J Mol Sci 19(2):390

    Article  PubMed Central  CAS  Google Scholar 

  • Russell AC, Kepka A, Trbojević-Akmačić I, Ugrina I, Song M, Hui J et al (2019a) Why not use the immunoglobulin G N-glycans as predictor variables in disease biomarker-phenotype association studies? A multivariate analysis. OMICS (in press)

    Google Scholar 

  • Russell AC, Kepka A, Trbojević-Akmačić I, Ugrina I, Song M, Hui J et al (2019b) Increased central adiposity is associated with pro-inflammatory immunoglobulin G N-glycans. Immunobiology 224(1):110–115

    Article  CAS  PubMed  Google Scholar 

  • Salzberg SL (2018) Open questions: how many genes do we have? BMC Biol 16(1):94

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Sartorius N (2006) The meanings of health and its promotion. Croat Med J 47(4):662–664

    PubMed  PubMed Central  Google Scholar 

  • Schwab I, Nimmerjahn F (2013) Intravenous immunoglobulin therapy: how does IgG modulate the immune system? Nat Rev Immunol 13(3):176–189

    Article  CAS  PubMed  Google Scholar 

  • Sebastian A, Alzain MA, Asweto CO, Song H, Cui L, Yu X et al (2016) Glycan biomarkers for rheumatoid arthritis and its remission status in Han Chinese patients. OMICS 20(6):343–351

    Article  CAS  PubMed  Google Scholar 

  • Segman RH, Stein MB (2015) C-reactive protein: a stress diathesis marker at the crossroads of maladaptive behavioral and cardiometabolic sequelae. Am J Psychiatry 172(4):307–309

    Article  PubMed  Google Scholar 

  • Shen X, Klarić L, Sharapov S, Mangino M, Ning Z, Wu D et al (2017a) Multivariate discovery and replication of five novel loci associated with immunoglobulin G N-glycosylation. Nat Commun 8(1):447

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Shen S, Lu Y, Qi H, Li F, Shen Z, Wu L et al (2017b) Waist-to-height ratio is an effective indicator for comprehensive cardiovascular health. Sci Rep 7

    Google Scholar 

  • Štambuk J, Nakić N, Vučković F, Pučić-Baković M, Razdorov G, Trbojević-Akmačić I et al (2020) Global variability of the human IgG glycome. Aging 12(15):15222

    Article  PubMed  PubMed Central  Google Scholar 

  • Subedi GP, Barb AW (2015) The structural role of antibody N-glycosylation in receptor interactions. Structure 23(9):1573–1583

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Teesson M, Hall W, Slade T, Mills K, Grove R, Mewton L et al (2010) Prevalence and correlates of DSM-IV alcohol abuse and dependence in Australia: findings of the 2007 National Survey of mental health and wellbeing. Addiction 105(12):2085–2094

    Article  PubMed  Google Scholar 

  • Trbojevic-Akmacic I, Ugrina I, Lauc G (2017) Comparative analysis and validation of different steps in glycomics studies. Methods Enzymol 586:37–55

    Article  CAS  PubMed  Google Scholar 

  • Troelsen LN, Jacobsen S, Abrahams JL, Royle L, Rudd PM, Narvestad E et al (2012) IgG glycosylation changes and MBL2 polymorphisms: associations with markers of systemic inflammation and joint destruction in rheumatoid arthritis. J Rheumatol 39(3):463–469

    Article  CAS  PubMed  Google Scholar 

  • Vanhooren V, Dewaele S, Libert C, Engelborghs S, De Deyn PP, Toussaint O et al (2010) Serum N-glycan profile shift during human ageing. Exp Gerontol 45(10):738–743

    Article  CAS  PubMed  Google Scholar 

  • Verdurmen J, Monshouwer K, Dorsselaer SV, Bogt TT, Vollebergh W (2005) Alcohol use and mental health in adolescents: interactions with age and gender-findings from the Dutch 2001 health behaviour in school-aged children survey. J Stud Alcohol 66(5):605–609

    Article  PubMed  Google Scholar 

  • Verma R, Kubendran S, Das SK, Jain S, Brahmachari SK (2005) SYNGR1 is associated with schizophrenia and bipolar disorder in southern India. J Hum Genet 50(12):635–640

    Article  CAS  PubMed  Google Scholar 

  • Vidarsson G, Dekkers G, Rispens T (2014) IgG subclasses and allotypes: from structure to effector functions. Front Immunol 5

    Google Scholar 

  • Vučković F, Krištić J, Gudelj I, Teruel M, Keser T, Pezer M et al (2015) Association of systemic lupus erythematosus with decreased immunosuppressive potential of the IgG glycome. Arthritis Rheumatol 67(11):2978–2989

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Wahl A, van den Akker E, Klaric L, Štambuk J, Benedetti E, Plomp R et al (2018) Genome-wide association study on immunoglobulin G glycosylation patterns. Front Immunol 9(277)

    Google Scholar 

  • Wang W (2019) Glycomics research in China: the current state of the art. OMICS: J Integr Biol 23(12):601–602

    Article  CAS  Google Scholar 

  • Wang W, Yan Y (2012) Suboptimal health: a new health dimension for translational medicine. Clin Transl Med 1(1):28

    PubMed  PubMed Central  Google Scholar 

  • Wang J, Balog CI, Stavenhagen K, Koeleman CA, Scherer HU, Selman MH et al (2011) Fc-glycosylation of IgG1 is modulated by B-cell stimuli. Mol Cell Prot 10(5):M110. 004655

    Google Scholar 

  • Wang W, Russell A, Yan Y (2014) Traditional Chinese medicine and new concepts of predictive, preventive and personalized medicine in diagnosis and treatment of suboptimal health. EPMA J 5(1):4

    Article  PubMed  PubMed Central  Google Scholar 

  • Wang Y, Klaric L, Yu X, Thaqi K, Dong J, Novokmet M et al (2016) The association between glycosylation of immunoglobulin G and hypertension: a multiple ethnic cross-sectional study. Medicine 95(17):e3379

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Whitmer R, Gustafson D, Barrett-Connor E, Haan M, Gunderson E, Yaffe K (2008) Central obesity and increased risk of dementia more than three decades later. Neurology 71(14):1057–1064

    Article  CAS  PubMed  Google Scholar 

  • Wu Z, Li H, Liu D, Tao L, Zhang J, Liang B et al (2020) IgG glycosylation profile and the glycan score are associated with type 2 diabetes in independent Chinese populations: a case-control study

    Google Scholar 

  • Wuhrer M, Selman MH, McDonnell LA, Kümpfel T, Derfuss T, Khademi M et al (2015) Pro-inflammatory pattern of IgG1 Fc glycosylation in multiple sclerosis cerebrospinal fluid. J Neuroinflamm 12(1):235

    Article  CAS  Google Scholar 

  • Yan Y-X, Liu Y-Q, Li M, Hu P-F, Guo A-M, Yang X-H et al (2009) Development and evaluation of a questionnaire for measuring suboptimal health status in urban Chinese. J Epidemiol 19(6):333–341

    Article  PubMed  PubMed Central  Google Scholar 

  • Yan YX, Dong J, Liu YQ, Yang XH, Li M, Shia G et al (2012) Association of suboptimal health status and cardiovascular risk factors in Urban Chinese Workers. J Urban Health 89(2):329–338

    Article  PubMed  Google Scholar 

  • Yan Y-X, Dong J, Liu Y-Q, Zhang J, Song M-S, He Y et al (2015) Association of suboptimal health status with psychosocial stress, plasma cortisol and mRNA expression of glucocorticoid receptor α/β in lymphocyte. Stress 18(1):29–34

    Article  CAS  PubMed  Google Scholar 

  • Yu X, Wang Y, Kristic J, Dong J, Chu X, Ge S et al (2016) Profiling IgG N-glycans as potential biomarker of chronological and biological ages: a community-based study in a Han Chinese population. Medicine 95(28)

    Google Scholar 

Download references

Acknowledgment

This book chapter was partially supported by Australia–China International Collaborative Grant (NHMRC APP1112767-NSFC 81561128020). Parts of the data and presented figures in this chapter have previously been published in our earlier articles, which are referenced.

Disclosure of Interests

The two authors declare they have no conflict of interest.

Ethical Approval

The studies discussed in this book chapter have ethical approval from each institution. All procedures performed in the studies involving human participants were in accordance with the ethical standards of the institutional research committees and with the 1964 Helsinki declaration and its later amendments.

Author information

Authors and Affiliations

  1. Centre for Precision Health, Edith Cowan University, Joondalup, Australia

    Alyce Russell & Wei Wang

  2. School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia

    Alyce Russell & Wei Wang

Authors
  1. Alyce Russell
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wei Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wei Wang .

Editor information

Editors and Affiliations

  1. Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia

    Marija Pezer

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Russell, A., Wang, W. (2021). The Rapidly Expanding Nexus of Immunoglobulin G N-Glycomics, Suboptimal Health Status, and Precision Medicine. In: Pezer, M. (eds) Antibody Glycosylation. Experientia Supplementum, vol 112. Springer, Cham. https://doi.org/10.1007/978-3-030-76912-3_17

Download citation

Publish with us

Policies and ethics

Search

Navigation