Portal de investigação
Altered IgG glycosylation at COVID-19 diagnosis predicts disease severity
Data de publicação:
Data Ahead of Print:
Autores da FMUP
Participantes de fora da FMUP
- Vicente, Manuel M.
- Alves, Ines
- Gaifem, Joana
- Rodrigues, Claudia S.
- Fernandes, Angela
- Dias, Ana M.
- Stambuk, Jerko
- Petrovic, Tea
- Oliveira, Pedro
- Ferreira-da-Silva, Frederico
- Soares, Adriana
- Seixas, Nair
- Teixeira, Tiago
- Abreu, Miguel M.
- Lauc, Gordan
- Castro, Rui Sarmento E.
- Pinho, Salome S.
Unidades de investigação
Abstract
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-gamma and TNF-alpha, 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.
Dados da publicação
- ISSN/ISSNe:
- 0014-2980, 1521-4141
- Tipo:
- Article
- Páginas:
- 946-957
- Link para outro recurso:
- www.scopus.com
European Journal of Immunology Wiley-VCH Verlag
Citações Recebidas na Web of Science: 27
Citações Recebidas na Scopus: 27
Documentos
- Não há documentos
Filiações
Keywords
- Inflammation; agalactosylation; asialylation; COVID-19; IgG Fc glycosylation; SARS-CoV-2
Proyectos asociados
The impact of SARS-CoV-2 viral load on the mortality of hospitalized patients. A retrospective analysis
Investigador Principal: Luís Filipe Gomes Malheiro
Estudo Clínico Académico (SARS-CoV-2) . 2021
Citar a publicação
Vicente MM,Alves I,Gaifem J,Rodrigues CS,Fernandes A,Dias AM,Stambuk J,Petrovic T,Oliveira P,Ferreira F,Soares A,Seixas N,Teixeira T,Malheiro L,Abreu MM,Lauc G,Castro RSE,Pinho SS. Altered IgG glycosylation at COVID-19 diagnosis predicts disease severity. Eur. J. Immunol. 2022. 52. (6):p. 946-957. IF:5,400. (2).
