Author Identifier
A. C. Russell
https://orcid.org/0000-0002-1667-7601
Simon Laws
https://orcid.org/0000-0002-4355-7082
wei wang
Document Type
Journal Article
Publication Title
International Journal of Molecular Sciences
Publisher
MDPI AG
School
School of Medical and Health Sciences
RAS ID
26891
Funders
National Health and Medical Research Council
Grant Number
NHMRC Number : 1112767
Abstract
Multiple factors influence immunoglobulin G glycosylation, which in turn affect the glycoproteins’ function on eliciting an anti-inflammatory or pro-inflammatory response. It is prudent to underscore these processes when considering the use of immunoglobulin G N-glycan moieties as an indication of disease presence, progress, or response to therapeutics. It has been demonstrated that the altered expression of genes that encode enzymes involved in the biosynthesis of immunoglobulin G N-glycans, receptors, or complement factors may significantly modify immunoglobulin G effector response, which is important for regulating the immune system. The immunoglobulin G N-glycome is highly heterogenous; however, it is considered an interphenotype of disease (a link between genetic predisposition and environmental exposure) and so has the potential to be used as a dynamic biomarker from the perspective of predictive, preventive, and personalised medicine. Undoubtedly, a deeper understanding of how the multiple factors interact with each other to alter immunoglobulin G glycosylation is crucial. Herein we review the current literature on immunoglobulin G glycoprotein structure, immunoglobulin G Fc glycosylation, associated receptors, and complement factors, the downstream effector functions, and the factors associated with the heterogeneity of immunoglobulin G glycosylation.
DOI
10.3390/ijms19020390
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
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. International Journal of Molecular Sciences, 19(2), 390. doi:10.3390/ijms19020390
Available here.