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Integrated histopathology, spatial and single cell transcriptomics resolve cellular drivers of early and late alveolar damage in COVID-19

  • Jimmy Tsz Hang Lee
  • , Sam N. Barnett
  • , Kenny Roberts
  • , Helen Ashwin
  • , Luke Milross
  • , Jae-Won Cho
  • , Alik Huseynov
  • , Benjamin Woodhams
  • , Alexander Aivazidis
  • , Tong Li
  • , Joaquim Majo
  • , Patricia Chaves
  • , Michael Lee
  • , Antonio M. A. Miranda
  • , Zuzanna Jablonska
  • , Vincenzo Arena
  • , Brian Hanley
  • , Michael Osborn
  • , Virginie Uhlmann
  • , Xiao-Ning Xu
  • Gary R. McLean, Sarah A. Teichmann, Anna M. Randi, Andrew Filby, Paul M. Kaye, Andrew J. Fisher*, Martin Hemberg*, Michela Noseda*, Omer Ali Bayraktar*
*Corresponding author

Research output: Contribution to journalArticle

Abstract

The most common cause of death due to COVID-19 remains respiratory failure. Yet, our understanding of the precise cellular and molecular changes underlying lung alveolar damage is limited. Here, we integrate single cell transcriptomic data of COVID-19 and donor lung tissue with spatial transcriptomic data stratifying histopathological stages of diffuse alveolar damage. We identify changes in cellular composition across progressive damage, including waves of molecularly distinct macrophages and depletion of epithelial and endothelial populations. Predicted markers of pathological states identify immunoregulatory signatures, including IFN-alpha and metallothionein signatures in early damage, and fibrosis-related collagens in late damage. Furthermore, we predict a fibrinolytic shutdown via endothelial upregulation of SERPINE1/PAI-1. Cell-cell interaction analysis revealed macrophage-derived SPP1/osteopontin signalling as a key regulator during early steps of alveolar damage. These results provide a comprehensive, spatially resolved atlas of alveolar damage progression in COVID-19, highlighting the cellular mechanisms underlying pro-inflammatory and pro-fibrotic pathways in severe disease.
Original languageEnglish
Pages (from-to)1-16
Number of pages16
JournalNature Communications
Volume16
Issue number1
DOIs
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • General Biochemistry,Genetics and Molecular Biology
  • General Physics and Astronomy

Keywords

  • COVID 19

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