Imperial College London
Portrait Picture

Professor Cleo Kontoravdi

Faculty of Engineering, Department of Chemical Engineering

Professor of Biological Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6655cleo.kontoravdi98 Website

 
 
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Location

 

310ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Flevaris:2022:10.3390/ijms23095180,
author = {Flevaris, K and Kontoravdi, K},
doi = {10.3390/ijms23095180},
journal = {International Journal of Molecular Sciences},
pages = {1--23},
title = {Immunoglobulin G N-glycan biomarkers for autoimmune diseases: Current state and a glycoinformatics perspective},
url = {http://dx.doi.org/10.3390/ijms23095180},
volume = {23},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The effective treatment of autoimmune disorders can greatly benefit from disease-specific biomarkers that are functionally involved in immune system regulation and can be collected through minimally invasive procedures. In this regard, human serum IgG N-glycans are promising for uncovering disease predisposition and monitoring progression, and for the identification of specific molecular targets for advanced therapies. In particular, the IgG N-glycome in diseased tissues is considered to be disease-dependent; thus, specific glycan structures may be involved in the pathophysiology of autoimmune diseases. This study provides a critical overview of the literature on human IgG N-glycomics, with a focus on the identification of disease-specific glycan alterations. In order to expedite the establishment of clinically-relevant N-glycan biomarkers, the employment of advanced computational tools for the interpretation of clinical data and their relationship with the underlying molecular mechanisms may be critical. Glycoinformatics tools, including artificial intelligence and systems glycobiology approaches, are reviewed for their potential to provide insight into patient stratification and disease etiology. Challenges in the integration of such glycoinformatics approaches in N-glycan biomarker research are critically discussed.
AU  - Flevaris,K
AU  - Kontoravdi,K
DO  - 10.3390/ijms23095180
EP  - 23
PY  - 2022///
SN  - 1422-0067
SP  - 1
TI  - Immunoglobulin G N-glycan biomarkers for autoimmune diseases: Current state and a glycoinformatics perspective
T2  - International Journal of Molecular Sciences
UR  - http://dx.doi.org/10.3390/ijms23095180
UR  - https://www.mdpi.com/1422-0067/23/9/5180
UR  - http://hdl.handle.net/10044/1/97167
VL  - 23
ER  -
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