Glycosylation signature of plasma IgA of critically ill COVID-19 patients

Thromboembolic complications are common in severe COVID-19 and are thought to result from excessive neutrophil-extracellular-trap (NET)-driven immunothrombosis. Glycosylation plays a vital role in the efficiency of immunoglobulin A (IgA) effector functions, with significant implications for NET formation in infectious diseases. This study represents the first comprehensive analysis of plasma IgA glycosylation during severe SARS-CoV-2 or Influenza A infection, revealing lower sialylation and higher galactosylation of IgA1 O-glycans in acute respiratory distress syndrome (ARDS), regardless of the underlying cause of the disease. Importantly, N-glycans displayed an infection-specific pattern, with N47 of IgA2 showing diminished sialylation and bisection, and N340/N327 of IgA1/2 demonstrating lower fucosylation and antennarity along with higher non-complex glycans in COVID-19 compared to Influenza. Notably, COVID-19 IgA possessed strong ability to induce NET formation and its glycosylation patterns correlated with extracellular DNA levels in plasma of critically ill COVID-19 patients. Our data underscores the necessity of further research on the role of IgA glycosylation in the modulation of pathogen-specific immune responses in COVID-19 and other infectious diseases.

Authors

Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2024-10-24
DOI
https://doi.org/10.3389/fimmu.2024.1439248
Citations
3
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
1.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Glycosylation signature of plasma IgA of critically ill COVID-19 patients

Kristina Zlatina, Liliana Schaefer, Wilhelm Bertrams, Sascha David et al.
3 citations
Frontiers in Immunology
Diabetes and associated disorders
1.65
article

Glycosylation signature of plasma IgA of critically ill COVID-19 patients

Kristina Zlatina, Liliana Schaefer, Wilhelm Bertrams, Sascha David, Bianca D. M. van Tol, Małgorzata Wygrecka, Werner Seeger, Benjamin Seeliger, Elisabeth Mack, Christina Krolczik, Jochen Wilhelm, David Falck, Manfred Wuhrer, Bernd Schmeck, Sebastian P. Galuska, Daniel P. Potaczek, Chrysanthi Skevaki
article en
3 citations

Abstract

Thromboembolic complications are common in severe COVID-19 and are thought to result from excessive neutrophil-extracellular-trap (NET)-driven immunothrombosis. Glycosylation plays a vital role in the efficiency of immunoglobulin A (IgA) effector functions, with significant implications for NET formation in infectious diseases. This study represents the first comprehensive analysis of plasma IgA glycosylation during severe SARS-CoV-2 or Influenza A infection, revealing lower sialylation and higher galactosylation of IgA1 O-glycans in acute respiratory distress syndrome (ARDS), regardless of the underlying cause of the disease. Importantly, N-glycans displayed an infection-specific pattern, with N47 of IgA2 showing diminished sialylation and bisection, and N340/N327 of IgA1/2 demonstrating lower fucosylation and antennarity along with higher non-complex glycans in COVID-19 compared to Influenza. Notably, COVID-19 IgA possessed strong ability to induce NET formation and its glycosylation patterns correlated with extracellular DNA levels in plasma of critically ill COVID-19 patients. Our data underscores the necessity of further research on the role of IgA glycosylation in the modulation of pathogen-specific immune responses in COVID-19 and other infectious diseases.

Frontiers in ImmunologyVol. 15
Goethe University Frankfurt (DE), Philipps University of Marburg (DE), Leiden University Medical Center (NL), Medizinische Hochschule Hannover (DE), University Hospital of Zurich (CH), Netherlands Metabolomics Centre (NL), Research Institute for Farm Animal Biology (FBN) (DE), German Center for Lung Research (DE), Universities of Giessen and Marburg Lung Center (DE), Cardio-Pulmonary Institute (DE)
Good health and well-being
Openalex Percentile: Top 14%
Diabetes and associated disorders
1.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.