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Altered IgG glycosylation at COVID-19 diagnosis predicts disease severity.
Vicente, Manuel M; Alves, Inês; Gaifem, Joana; Rodrigues, Cláudia S; Fernandes, Ângela; Dias, Ana M; Stambuk, Jerko; Petrovic, Tea; Oliveira, Pedro; Ferreira-da-Silva, Frederico; Soares, Adriana; Seixas, Nair; Teixeira, Tiago; Malheiro, Luis; Abreu, Miguel M; Lauc, Gordan; Sarmento E Castro, Rui; Pinho, Salomé S.
  • Vicente MM; i3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
  • Alves I; Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal.
  • Gaifem J; Graduate Program in Areas of Basic and Applied Biology (GABBA), ICBAS, University of Porto, Porto, Portugal.
  • Rodrigues CS; Institute of Molecular Pathology and Immunology of University of Porto (IPATIMUP), Porto, Portugal.
  • Fernandes Â; i3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
  • Dias AM; Institute of Molecular Pathology and Immunology of University of Porto (IPATIMUP), Porto, Portugal.
  • Stambuk J; Faculty of Medicine, University of Porto, Porto, Portugal.
  • Petrovic T; i3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
  • Oliveira P; Institute of Molecular Pathology and Immunology of University of Porto (IPATIMUP), Porto, Portugal.
  • Ferreira-da-Silva F; i3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
  • Soares A; Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal.
  • Seixas N; Institute of Molecular Pathology and Immunology of University of Porto (IPATIMUP), Porto, Portugal.
  • Teixeira T; i3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
  • Malheiro L; Institute of Molecular Pathology and Immunology of University of Porto (IPATIMUP), Porto, Portugal.
  • Abreu MM; i3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
  • Lauc G; Institute of Molecular Pathology and Immunology of University of Porto (IPATIMUP), Porto, Portugal.
  • Sarmento E Castro R; Genos Glycoscience Research Laboratory, Zagreb, Croatia.
  • Pinho SS; Genos Glycoscience Research Laboratory, Zagreb, Croatia.
Eur J Immunol ; 52(6): 946-957, 2022 06.
Article in English | MEDLINE | ID: covidwho-1750362
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-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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Eur J Immunol Year: 2022 Document Type: Article Affiliation country: Eji.202149491

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Eur J Immunol Year: 2022 Document Type: Article Affiliation country: Eji.202149491