Impact of infection on proteome-wide glycosylation revealed by distinct signatures for bacterial and viral pathogens

Esther Willems (Corresponding Author), Jolein Gloerich, Anouk Suppers, PERFORM consortium, Dace Zavadska (Member of the Working Group), Anda Balode (Member of the Working Group), Arta Bārzdiņa (Member of the Working Group), Dace Gardovska (Member of the Working Group), Dagne Grāvele (Member of the Working Group), Ilze Grope (Member of the Working Group), Anija Meiere (Member of the Working Group), Ieva Nokalna (Member of the Working Group), Urzula Nora Urbāne (Member of the Working Group), Jana Pavāre (Member of the Working Group), Zanda Pučuka (Member of the Working Group)

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
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Abstract

Mechanisms of infection and pathogenesis have predominantly been studied based on differential gene or protein expression. Less is known about posttranslational modifications, which are essential for protein functional diversity. We applied an innovative glycoproteomics method to study the systemic proteome-wide glycosylation in response to infection. The protein site-specific glycosylation was characterized in plasma derived from well-defined controls and patients. We found 3862 unique features, of which we identified 463 distinct intact glycopeptides, that could be mapped to more than 30 different proteins. Statistical analyses were used to derive a glycopeptide signature that enabled significant differentiation between patients with a bacterial or viral infection. Furthermore, supported by a machine learning algorithm, we demonstrated the ability to identify the causative pathogens based on the distinctive host blood plasma glycopeptide signatures. These results illustrate that glycoproteomics holds enormous potential as an innovative approach to improve the interpretation of relevant biological changes in response to infection.

Original languageEnglish
Article number107257
JournaliScience
Volume26
Issue number8
DOIs
Publication statusPublished - 18 Aug 2023

Keywords*

  • Glycobiology
  • Glycomics
  • Health sciences
  • Immunology

Field of Science*

  • 3.2 Clinical medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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