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Spatial transcriptomic characterization of COVID-19 pneumonitis identifies immune circuits related to tissue injury

Abstract:
Severe lung damage in COVID-19 involves complex interactions between diverse populations of immune and stromal cells. In this study, we used a spatial transcriptomics approach to delineate the cells, pathways and genes present across the spectrum of histopathological damage in COVID-19 lung tissue. We applied correlation network-based approaches to deconvolve gene expression data from areas of interest within well preserved post-mortem lung samples from three patients. Despite substantial inter-patient heterogeneity we discovered evidence for a common immune cell signaling circuit in areas of severe tissue that involves crosstalk between cytotoxic lymphocytes and pro-inflammatory macrophages. Expression of IFNG by cytotoxic lymphocytes was associated with induction of chemokines including CXCL9, CXCL10 and CXCL11 which are known to promote the recruitment of CXCR3+ immune cells. The tumour necrosis factor (TNF) superfamily members BAFF ( TNFSF13B ) and TRAIL ( TNFSF10 ) were found to be consistently upregulated in the areas with severe tissue damage. We used published spatial and single cell SARS-CoV-2 datasets to confirm our findings in the lung tissue from additional cohorts of COVID-19 patients. The resulting model of severe COVID-19 immune-mediated tissue pathology may inform future therapeutic strategies. <h4>One Sentence Summary</h4> Spatial analysis identifies IFNγ response signatures as focal to severe alveolar damage in COVID-19 pneumonitis.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1172/jci.insight.157837

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Role:
Author
ORCID:
0000-0002-2592-6251


Publisher:
American Society for Clinical Investigation
Journal:
JCI Insight More from this journal
Volume:
8
Issue:
2
Article number:
e157837
Publication date:
2023-01-24
Acceptance date:
2022-11-30
DOI:
EISSN:
2379-3708


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