SARS-CoV-2 induced changes in the glycosylation pattern in the respiratory tract of Golden Syrian hamsters.

SARS-CoV-2/ Lectins/ Glycosylation/ Syrian Golden Hamster/ Respiratory tract

Journal

Acta histochemica
ISSN: 1618-0372
Titre abrégé: Acta Histochem
Pays: Germany
ID NLM: 0370320

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 16 03 2023
revised: 24 07 2023
accepted: 24 07 2023
pubmed: 31 7 2023
medline: 31 7 2023
entrez: 31 7 2023
Statut: ppublish

Résumé

Even after more than two years of intensive research, not all of the pathophysiological processes of Coronavirus Disease 2019 (COVID-19), induced by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection, have been fully elucidated. The initial virus-host interaction at the respiratory epithelium plays a crucial role in the course and progression of the infection, and is highly dependent on the glycosylation pattern of the host cell and of the secreted mucins. Glycans are polysaccharides that can be attached to proteins and thereby add to their stability and functionality. Lectins are glycan-binding proteins that recognize specific glycan motifs, and lectin histochemistry is a suitable tool to visualize and examine glycosylation pattern changes in tissues. In this study we used lectins with different glycan-specificities for the visualization of glycosylation pattern changes in the respiratory tract of SARS-CoV-2 infected Golden Syrian hamsters. While some lectins (LEL, STL) enable the visualization of the damage to alveolar type 1 pneumocytes, other lectins, e.g., GSLI, visualized the loss and subsequent hyperplasia of type 2 pneumocytes. UEAI staining was co-localized with KI67, a proliferation marker. Double staining of lectins LEL, STL and WGA with specific immune cell markers (Iba1, CD68) showed co-localization and the dominant infiltration of monocyte-derived macrophages into infected alveolar tissue. The elucidation of the glycosylation pattern of the respiratory tract cells in uninfected and infected Golden Syrian hamsters revealed physiological and pathological aspects of the disease that may open new possibilities for therapeutic development.

Identifiants

pubmed: 37523787
pii: S0065-1281(23)00083-1
doi: 10.1016/j.acthis.2023.152077
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

152077

Informations de copyright

Copyright © 2023 Elsevier GmbH. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Olivia Merkel is a Scientific Board Member for Coriolis Pharma GmbH, AMW GmbH and Carver Biosciences and an Advisor for PARI Pharma GmbH, Boehringer-Ingelheim International GmbH, and AbbVie Deutschland GmbH on unrelated projects.

Auteurs

Lea-Adriana Barlang (LA)

Preclinical Safety, AbbVie Deutschland GmbH & Co. KG, Knollstraße, 67061 Ludwigshafen, Germany; Department of Pharmacy, Pharmaceutical Technology and Biopharmacy, Ludwig-Maximilians-University, Butenandtstraße 5-13, 8133 Munich, Germany. Electronic address: lea-adriana.keller@gmx.de.

Björn-Patrick Mohl (BP)

Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Suedufer 10, 17493 Greifswald, Insel Riems, Germany.

Claudia Blaurock (C)

Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Suedufer 10, 17493 Greifswald, Insel Riems, Germany.

Sophia Harder (S)

Preclinical Safety, AbbVie Deutschland GmbH & Co. KG, Knollstraße, 67061 Ludwigshafen, Germany.

Angele Breithaupt (A)

Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Suedufer 10, 17493 Greifswald, Insel Riems, Germany.

Olivia M Merkel (OM)

Department of Pharmacy, Pharmaceutical Technology and Biopharmacy, Ludwig-Maximilians-University, Butenandtstraße 5-13, 8133 Munich, Germany.

Anne Balkema-Buschmann (A)

Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Suedufer 10, 17493 Greifswald, Insel Riems, Germany.

Andreas Popp (A)

Preclinical Safety, AbbVie Deutschland GmbH & Co. KG, Knollstraße, 67061 Ludwigshafen, Germany.

Classifications MeSH