Systematic review: Immunoglobulin G N-glycans as next-generation diagnostic biomarkers for common chronic diseases

Author Identifier

Wei Wang Orcid: https://orcid.org/0000-0002-1430-1360

Document Type

Journal Article

Publication Title

OMICS : A Journal of Integrative Biology


Mary Ann Liebert


School of Medical and Health Sciences




National Health and Medical Research Council (NHMRC).

Further funding information available at: https://doi.org/10.1089/omi.2019.0032

Grant Number

NHMRC Number : 1112767


Liu, D., Li, Q., Zhang, X., Wang, H., Cao, W., Li, D., ... Wang, Y. (2019). Systematic review: Immunoglobulin GN-glycans as next-generation diagnostic biomarkers for common chronic diseases. OMICS: A Journal of Integrative Biology, 23(12), 607-614. Available here


Glycomics is a new subspecialty in omics systems sciences that offers significant promise for next-generation biomarkers on disease susceptibility, drug target discovery, and precision medicine. In this context, alternative immunoglobulin G (IgG) N-glycosylation has been reportedly implicated in several common chronic diseases, although systematic assessment is currently lacking in the literature. We conducted a systematic review of observational studies on IgG N-glycan variability and susceptibility to common chronic diseases. Observational studies reporting an association between diseases (such as colorectal cancer, dyslipidemia, ischemic stroke, rheumatoid arthritis, and systemic lupus erythematosus) and IgG N-glycans quantified by ultraperformance liquid chromatography were included. The glycans were categorized into 24 initial IgG glycan peaks (GPs). Notably, aging positively correlated with GP1, GP2, GP4-7, GP10, GP11, GP19, and GP24, while negatively correlated with GP8, GP12-15, GP17, GP18, GP20, GP21, and GP23 (p < 0.05). The absolute value of significant correlation coefficients of age and IgG glycans ranged from 0.043 to 0.645. We found that the high levels of GP1-4, GP6, GP7, and GP24 and low levels of GP9, GP13-15, GP18, and GP23 could potentially increase the risk of disease. In conclusion, the present systematic review suggests that the field of glycomics, and GP1-4, GP6, GP7, GP9, GP13-15, GP18, GP23, and GP24 in particular, holds promise for further candidate biomarker research on susceptibility to common chronic diseases.



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Research Themes


Priority Areas

Multidisciplinary biological approaches to personalised disease diagnosis, prognosis and management