Evidence map›Paper›PMID 35307819›Full record

ArticleEuropean journal of immunology2022

Altered IgG glycosylation at COVID-19 diagnosis predicts disease severity.

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 and 8 more

Open access · greenAbstract read
In one paragraph

Article in European journal of immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
6.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 48 citations in OpenAlex.

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  7. Immunoglobulin GFrontiers in immunology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 9 institutions in 4 countries.

Manuel M Vicentei3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Inês Alvesi3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Joana Gaifemi3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Cláudia S Rodriguesi3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Ângela Fernandesi3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Ana M Diasi3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Jerko ŠtambukGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Tea PetrovićGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Pedro OliveiraInstitute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal.
Frederico Ferreira-da-Silvai3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Adriana SoaresInternal Medicine Department, Hospital Beatriz Ângelo, Loures, Portugal.
Nair SeixasDepartment of Infectious Diseases, Centro Hospitalar Vila Nova de Gaia/Espinho, Gaia, Portugal.
Tiago TeixeiraDepartment of Infectious Diseases, Centro Hospitalar Vila Nova de Gaia/Espinho, Gaia, Portugal.
Luis MalheiroDepartment of Clinical Pathology, Centro Hospitalar Vila Nova de Gaia/Espinho, Gaia, Portugal.
Miguel M AbreuDepartment of Infectious Diseases, Centro Hospitalar Universitário do Porto, Porto, Portugal.
Gordan LaucFaculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia.
Rui Sarmento E CastroDepartment of Infectious Diseases, Centro Hospitalar Universitário do Porto, Porto, Portugal.
Salomé S Pinhoi3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto · PTCentro Hospitalar de Vila Nova de Gaia · PTCentro Hospitalar do Porto · PTInstitute of Biomedical Science · GBGenos (Croatia) · HRHospital Beatriz Ângelo · PTScience Research Laboratory · USUniversidade do Porto · PTUniversity of Zagreb · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19BiomarkersCOVID-19 TestingGalactoseGlycosylationHumansImmunoglobulin Fc FragmentsImmunoglobulin GPolysaccharidesSARS-CoV-2Severity of Illness IndexBiomarkersGalactoseImmunoglobulin Fc FragmentsImmunoglobulin GPolysaccharidesagalactosylationasialylationCOVID-19IgG Fc glycosylationInflammationSARS-CoV-2

Identifiers

PMID35307819
PMCPMC9087392
OpenAlexW4220830478

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.