Temporal omics analysis in Syrian hamsters unravel cellular effector responses to moderate COVID-19

  • Geraldine Nouailles
  • , Emanuel Wyler
  • , Peter Pennitz
  • , Dylan Postmus
  • , Daria Vladimirova
  • , Julia Kazmierski
  • , Fabian Pott
  • , Kristina Dietert
  • , Michael Muelleder
  • , Vadim Farztdinov
  • , Benedikt Obermayer
  • , Sandra Maria Wienhold
  • , Sandro Andreotti
  • , Thomas Hoefler
  • , Birgit Sawitzki
  • , Christian Drosten
  • , Leif E. Sander
  • , Norbert Suttorp
  • , Markus Ralser
  • , Dieter Beule
  • Achim D. Gruber, Christine Goffinet, Markus Landthaler, Jakob Trimpert, Martin Witzenrath

Research output: Contribution to journalArticlepeer-review

68 Citations (Scopus)

Abstract

In COVID-19, immune responses are key in determining disease severity. However, cellular mechanisms at the onset of inflammatory lung injury in SARS-CoV-2 infection, particularly involving endothelial cells, remain ill-defined. Using Syrian hamsters as a model for moderate COVID-19, we conduct a detailed longitudinal analysis of systemic and pulmonary cellular responses, and corroborate it with datasets from COVID-19 patients. Monocyte-derived macrophages in lungs exert the earliest and strongest transcriptional response to infection, including induction of pro-inflammatory genes, while epithelial cells show weak alterations. Without evidence for productive infection, endothelial cells react, depending on cell subtypes, by strong and early expression of anti-viral, pro-inflammatory, and T cell recruiting genes. Recruitment of cytotoxic T cells as well as emergence of IgM antibodies precede viral clearance at day 5 post infection. Investigating SARS-CoV-2 infected Syrian hamsters thus identifies cell type-specific effector functions, providing detailed insights into pathomechanisms of COVID-19 and informing therapeutic strategies.
Original languageEnglish
Article number4869
JournalNature Communications
Volume12
Issue number1
DOIs
Publication statusPublished - 1 Dec 2021
Externally publishedYes

Fingerprint

Dive into the research topics of 'Temporal omics analysis in Syrian hamsters unravel cellular effector responses to moderate COVID-19'. Together they form a unique fingerprint.

Cite this