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OUP accepted manuscript

Authors :
Luís Malheiro
Massimo Allegri
Marco Arosio
Ana M. Dias
Julio Pascual
Ângela Fernandes
Dragan Primorac
Frano Vučković
Andrea Skelin
Dario Bugada
Silvia Bettinelli
Adriana Soares
Lorena Sangiorgio
Clara Barrios
Juan Pablo Horcajada
Salomé S. Pinho
Irena Trbojević-Akmačić
Alemka Markotić
Tea Petrović
Miguel Abreu
Rui Sarmento e Castro
Luca F. Lorini
Joana Gaifem
Judit Villar-García
Xavier Castells
Ivan Christian Kurolt
Inês Alves
Annapaola Callegaro
Gordan Lauc
Manuel M. Vicente
Source :
Glycobiology.
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

A large variation in the severity of disease symptoms is one of the key open questions in coronavirus disease 2019 (COVID-19) pandemics. The fact that only a small subset of people infected with severe acute respiratory syndrome coronavirus 2 develops severe disease suggests that there have to be some predisposing factors, but biomarkers that reliably predict disease severity have not been found so far. Since overactivation of the immune system is implicated in a severe form of COVID-19 and the immunoglobulin G (IgG) glycosylation is known to be involved in the regulation of different immune processes, we evaluated the association of interindividual variation in IgG N-glycome composition with the severity of COVID-19. The analysis of 166 severe and 167 mild cases from hospitals in Spain, Italy and Portugal revealed statistically significant differences in the composition of the IgG N-glycome. The most notable difference was the decrease in bisecting N-acetylglucosamine in severe patients from all three cohorts. IgG galactosylation was also lower in severe cases in all cohorts, but the difference in galactosylation was not statistically significant after correction for multiple testing.

Details

ISSN :
14602423 and 09596658
Database :
OpenAIRE
Journal :
Glycobiology
Accession number :
edsair.doi...........9e014e8d1d2f4712c640e7fdcf864110
Full Text :
https://doi.org/10.1093/glycob/cwaa102