Evidence map›Paper›PMID 42797793›Full record

ArticleViruses2026

Longitudinal Changes in IgG N-glycome Are Associated with Disease Severity and Mortality in COVID-19 Patients.

Martina Vinicki, Frano Vučković, Kristian Bodulić, Alemka Markotić, Zoran Barušić, Renata Laškaj, Ivan Christian Kurolt, Sanja Zember, Rok Čivljak, Ivan Puljiz and 2 more

Abstract read
In one paragraph

Article in Viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Martina VinickiGenos Glycoscience Research Laboratory, 10 000 Zagreb, Croatia.ORCID 0009-0001-7887-7246
Frano VučkovićGenos Glycoscience Research Laboratory, 10 000 Zagreb, Croatia.
Kristian BodulićUniversity Hospital for Infectious Diseases, 10 000 Zagreb, Croatia.ORCID 0000-0002-1212-3302
Alemka MarkotićUniversity Hospital for Infectious Diseases, 10 000 Zagreb, Croatia.
Zoran BarušićUniversity Hospital for Infectious Diseases, 10 000 Zagreb, Croatia.
Renata LaškajUniversity Hospital for Infectious Diseases, 10 000 Zagreb, Croatia.
Ivan Christian KuroltUniversity Hospital for Infectious Diseases, 10 000 Zagreb, Croatia.ORCID 0000-0001-9536-1009
Sanja ZemberUniversity Hospital for Infectious Diseases, 10 000 Zagreb, Croatia.
Rok ČivljakUniversity Hospital for Infectious Diseases, 10 000 Zagreb, Croatia.ORCID 0000-0001-8766-7438
Ivan PuljizUniversity Hospital for Infectious Diseases, 10 000 Zagreb, Croatia.
Gordan LaucGenos Glycoscience Research Laboratory, 10 000 Zagreb, Croatia.
Tea PribićGenos Glycoscience Research Laboratory, 10 000 Zagreb, Croatia.

Funding

The Center of Competence in Molecular Diagnostics (CEKOM) project KK.01.2.2.03.006
6 · The paper itself

Abstract

Severe COVID-19 is characterized by immune dysregulation, yet reliable biomarkers associated with adverse outcomes remain limited. Immunoglobulin G (IgG) N-glycosylation modulates antibody effector function and reflects the immune system's inflammatory state. In this study, we investigated whether specific IgG glycosylation profiles are associated with COVID-19 severity, mortality, and clinical course in patients without known prior SARS-CoV-2 infection. Of the 806 admitted COVID-19 patients included in the study, 377 hospitalized patients were longitudinally monitored, and 2001 serum samples were analyzed. Significant alterations in IgG N-glycome composition were observed in patients with severe disease and those who died. The most prominent changes included increased agalactosylation and decreased mono- and digalactosylation, features associated with a more pro-inflammatory IgG glycosylation profile. Nosocomial infections were associated with a more pro-inflammatory IgG glycosylation profile. No statistically significant differences in IgG N-glycome composition were observed between vaccinated and unvaccinated patients, although the small number of vaccinated patients limited this analysis. The observed glycomic profiles likely reflect immune responses characteristic of the early phase of the COVID-19 pandemic. Whether similar glycosylation changes occur in other infectious or inflammatory diseases remains to be established. IgG glycosylation analysis holds promise for personalized risk stratification and early therapeutic intervention in COVID-19 and other severe infectious diseases.

Indexed as

COVID-19Immunoglobulin GAdultAgedAntibodies, ViralBiomarkersFemaleGlycomicsGlycosylationHumansLongitudinal StudiesMaleMiddle AgedPandemicsSARS-CoV-2Severity of Illness IndexAntibodies, ViralBiomarkersImmunoglobulin GbiomarkersCOVID-19disease severityIgG glycosylationmortality

Identifiers

PMID42797793
PMCPMC13612034

What Socratic holds

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Registered trials

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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 Socratic graph.