Integrated histopathology, spatial and single cell transcriptomics resolve cellular drivers of early and late alveolar damage in COVID-19
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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 donor lungs with spatial transcriptomic data stratifying histopathological stages of diffuse alveolar damage (DAD). We identify changes in cellular composition across progressive DAD, including waves of molecularly distinct macrophages and depleted epithelial and endothelial populations throughout different types of tissue damage. Predicted markers of pathological states identify immunoregulatory signatures, including IFN-alpha and metallothionein signatures in early DAD, and fibrosis-related collagens in organised DAD. 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 DAD. These results provide the first comprehensive, spatially resolved atlas of DAD stages, highlighting the cellular mechanisms underlying pro-inflammatory and pro-fibrotic pathways across alveolar damage progression.
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- An integrated cell atlas of the human lung in health and disease via crossref
- Distinct lung cell signatures define the temporal evolution of diffuse alveolar damage in fatal COVID-19 via crossref
- Transcriptome-wide spatial RNA profiling maps the cellular architecture of the developing human neocortex via crossref
- doi:10.1038/s41586-020-2877-5 via crossref
- doi:10.1513/annalsats.201609-728ps via crossref
- doi:10.1038/s41577-022-00762-9 via crossref
- doi:10.1126/scitranslmed.abj7790 via crossref
- doi:10.3389/fimmu.2021.739918 via crossref
- doi:10.1038/s41587-021-01033-z via crossref
- doi:10.1038/s41586-021-03570-8 via crossref
- doi:10.1016/s1473-3099(20)30120-1 via crossref
- doi:10.1016/j.ebiom.2022.104229 via crossref
- doi:10.1186/s12885-022-09530-3 via crossref
- doi:10.1093/bioinformatics/btz931 via crossref
- doi:10.1038/s41586-020-2822-7 via crossref
- doi:10.1016/s2666-5247(20)30115-4 via crossref
- doi:10.1016/j.cell.2021.04.048 via crossref
- doi:10.1016/j.biopha.2021.111633 via crossref
- doi:10.1038/s41467-021-21246-9 via crossref
- doi:10.1016/j.molmet.2014.03.004 via crossref
- doi:10.4049/jimmunol.1003756 via crossref
- doi:10.1016/j.tips.2021.03.006 via crossref
- doi:10.1038/s41587-021-01139-4 via crossref
- doi:10.1165/rcmb.2008-0307oc via crossref
- doi:10.1038/s41592-019-0619-0 via crossref
- doi:10.1186/s12931-021-01628-9 via crossref
- doi:10.1038/s41586-021-03569-1 via crossref
- doi:10.1016/s2213-2600(21)00408-2 via crossref
- doi:10.1183/23120541.00303-2022 via crossref
- doi:10.1183/13993003.02441-2018 via crossref
- doi:10.1016/0031-3203(95)00067-4 via crossref
- doi:10.1038/nri1604 via crossref
- doi:10.3389/fimmu.2022.918775 via crossref
- doi:10.1158/0008-5472.can-09-2050 via crossref
- doi:10.1165/rcmb.2019-0071oc via crossref
- doi:10.1126/science.abo1984 via crossref
- doi:10.1038/s41586-021-03475-6 via crossref
- doi:10.1161/circulationaha.120.052318 via crossref
- doi:10.1016/s0140-6736(21)01906-1 via crossref
- doi:10.1038/s41467-020-15647-5 via crossref
- doi:10.3389/fphar.2021.654104 via crossref
- doi:10.1016/s0140-6736(20)30937-5 via crossref
- doi:10.1186/s13059-017-1381-1 via crossref
- doi:10.1165/rcmb.2019-0341ed via crossref
- doi:10.1016/j.cels.2018.11.005 via crossref
- doi:10.1136/jcp-2023-208771 via crossref
- doi:10.1126/scitranslmed.abe4282 via crossref
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