Naslov
Composition of the immunoglobulin G glycome associates with the severity of COVID-19

Autori
Petrović, Tea ; Alves, Inês ; Bugada, Dario ; Pascual, Julio ; Vučković, Frano ; Skelin, Andrea ; Gaifem, Joana ; Villar-Garcia, Judit ; Vicente, Manuel M ; Fernandes, Ângela ; Dias, Ana M ; Kurolt, Ivan-Christian ; Markotić, Alemka ; Primorac, Dragan ; Soares, Adriana ; Malheiro, Luis ; Trbojević-Akmačić, Irena ; Abreu, Miguel ; Sarmento E Castro, Rui ; Bettinelli, Silvia ; Callegaro, Annapaola ; Arosio, Marco ; Sangiorgio, Lorena ; Lorini, Luca F ; Castells, Xavier ; Horcajada, Juan P ; Pinho, Salomé S ; Allegri, Massimo ; Barrios, Clara ; Lauc, Gordan

Izvornik
Glycobiology (0959-6658) 31 (2021), 4; 372-377

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
COVID-19 ; IgG glycosylation ; bisecting GlcNAc ; disease biomarkers ; galactosylation

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Interdisciplinarne prirodne znanosti, Kliničke medicinske znanosti

POVEZANOST RADA