Spatial transcriptomics unveils the in situ cellular and molecular hallmarks of the lung in fatal COVID-19

Severe Coronavirus disease 2019 (COVID-19) can induce progressive diffuse alveolar damage (DAD) leading to fatal outcomes. Here, we leveraged data from Visium spatial transcriptomics for COVID-19 and control lung samples to unravel insights into cellular and molecular events driving lethal COVID-19. We report a progressive loss of endothelial cell types, pneumocytes type I and natural killer cells coupled with a continuous increase of myeloid and stromal cells, mostly peribronchial fibroblasts, across acute and proliferative DAD. Spatial organization analysis also identified specific compartmentalization including immune-specific clusters across DAD patterns. Importantly, spatially informed ligand-receptor interaction analysis revealed intercellular communication signatures defining COVID-19 induced DAD. Transcription factor activity enrichment analysis identified the TGF-β pathway as DAD driver, highlighting the antagonizing roles of SMAD3 and SMAD7 activity during fibrosis. Integration of these data yielded a signaling kinase pathway in peribronchial fibroblasts with amenable novel targets. Finally, spatio-temporal trajectory analysis characterized an alveolar epithelium regeneration program. Here, Garcia-Prieto et al use spatial transcriptomics to reveal progressive endothelial, pneumocyte type I and natural killer cell loss, expansion of myeloid and stromal cells, TGF-β-driven fibrosis signaling and alveolar regeneration programs in fatal COVID-19 lung injury.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-10-15
DOI
https://doi.org/10.1038/s41467-026-78188-3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial transcriptomics unveils the in situ cellular and molecular hallmarks of the lung in fatal COVID-19

Manel Esteller, Belén Perez‐Mies, Gerardo Ferrer, Eva Musulén et al.
Nature Communications
Single-cell and spatial transcriptomics
article

Spatial transcriptomics unveils the in situ cellular and molecular hallmarks of the lung in fatal COVID-19

Manel Esteller, Belén Perez‐Mies, Gerardo Ferrer, Eva Musulén, Verónica Dávalos, Tamara Caniego-Casas, Eduard Porta‐Pardo, Xavier Saenz-Sardà, Carlos Antonio García-Prieto, Elisabet Englund, Daniela Grases, José Palacios
article en

Abstract

Severe Coronavirus disease 2019 (COVID-19) can induce progressive diffuse alveolar damage (DAD) leading to fatal outcomes. Here, we leveraged data from Visium spatial transcriptomics for COVID-19 and control lung samples to unravel insights into cellular and molecular events driving lethal COVID-19. We report a progressive loss of endothelial cell types, pneumocytes type I and natural killer cells coupled with a continuous increase of myeloid and stromal cells, mostly peribronchial fibroblasts, across acute and proliferative DAD. Spatial organization analysis also identified specific compartmentalization including immune-specific clusters across DAD patterns. Importantly, spatially informed ligand-receptor interaction analysis revealed intercellular communication signatures defining COVID-19 induced DAD. Transcription factor activity enrichment analysis identified the TGF-β pathway as DAD driver, highlighting the antagonizing roles of SMAD3 and SMAD7 activity during fibrosis. Integration of these data yielded a signaling kinase pathway in peribronchial fibroblasts with amenable novel targets. Finally, spatio-temporal trajectory analysis characterized an alveolar epithelium regeneration program. Here, Garcia-Prieto et al use spatial transcriptomics to reveal progressive endothelial, pneumocyte type I and natural killer cell loss, expansion of myeloid and stromal cells, TGF-β-driven fibrosis signaling and alveolar regeneration programs in fatal COVID-19 lung injury.

Nature CommunicationsVol. 17(1)
Universitat de Vic - Universitat Central de Catalunya (ES), Institució Catalana de Recerca i Estudis Avançats (ES), Lund University (SE), Universidad de Alcalá (ES), Barcelona Supercomputing Center (ES), Josep Carreras Leukaemia Research Institute (ES), Hospital Quirónsalud Barcelona (ES), Department of Physiological Sciences (RU), Hospital General de Catalunya (ES), Instituto Ramón y Cajal de Investigación Sanitaria (ES), Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (ES), Centro de Investigación Biomédica en Red de Cáncer (ES), Hospital Universitario Ramón y Cajal (ES), IDCQ Hospitales y Sanidad, S.L.U. (ES)
Centres de Recerca de Catalunya, Generalitat de Catalunya, Agencia Estatal de Investigación
Good health and well-being
Openalex Percentile: Top 24%
Single-cell and spatial transcriptomics
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.