Altered IgG glycosylation at COVID‐19 diagnosis predicts disease severity

Autor: Manuel M. Vicente, Inês Alves, Joana Gaifem, Cláudia S. Rodrigues, Ângela Fernandes, Ana M. Dias, Jerko Štambuk, Tea Petrović, Pedro Oliveira, Frederico Ferreira‐da‐Silva, Adriana Soares, Nair Seixas, Tiago Teixeira, Luis Malheiro, Miguel M. Abreu, Gordan Lauc, Rui Sarmento e Castro, Salomé S. Pinho
Rok vydání: 2022
Předmět:
Zdroj: European Journal of Immunology. 52:946-957
ISSN: 1521-4141
0014-2980
Popis: The nature of the immune responses associated with COVID‐19 pathogenesis and disease severity, as well as the breadth of vaccine coverage and duration of immunity, is still unclear. Given the unpredictability for developing a severe/complicated disease, there is an urgent need in the field for predictive biomarkers of COVID‐19. We have analyzed IgG Fc N‐glycan traits of 82 SARS‐CoV‐2+ unvaccinated patients, at diagnosis, by nano‐LC‐ESI‐MS. We determined the impact of IgG Fc glyco‐variations in the induction of NK cells activation, further evaluating the association between IgG Fc N‐glycans and disease severity/prognosis. We found that SARS‐CoV‐2+ individuals display, at diagnosis, variations in the glycans composition of circulating IgGs. Importantly, levels of galactose and sialic acid structures on IgGs are able to predict the development of a poor COVID‐19 disease. Mechanistically, we demonstrated that a deficiency on galactose structures on IgG Fc in COVID‐19 patients appears to induce NK cells activation associated with increased release of IFN‐γ and TNF‐α, which indicates the presence of pro‐ inflammatory immunoglobulins and higher immune activation, associated with a poor disease course. This study brings to light a novel blood biomarker based on IgG Fc glycome composition with capacity to stratify patients at diagnosis.
Databáze: OpenAIRE
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