bioRxivImmunologyPreprint
Multi-omic spatial profiling reveals the unique virus-driven immune landscape of COVID-19 placentitis
M. Pugh, E. Fennel, C. I. Leahy, T. Perry, B. Hargitai, T. Marton, K. J. Hunter, G. Halford, H. O. Yilmaz, Z. Stamataki, G. Reynolds, H. J. Hill, B. E. Willcox, N. M. Steven, C. A. Thornton, S. Dojcinov, A. Culhane, P. G. Murray, G. S. Taylor
Abstract
COVID-19 placentitis, a rare complication of maternal SARS-CoV-2 infection, only shows detectable virus in the placenta of a subset of cases. We provide a deep multi-omic spatial characterisation of placentitis from obstetrically complicated maternal COVID-19 infection. We found that SARS-CoV-2 infected placentas have a distinct transcriptional and immunopathological signature. This signature overlaps with virus-negative cases supporting a common viral aetiology. An inverse correlation between viral load and disease duration suggests viral clearance over time. Quantitative spatial analyses revealed a unique microenvironment surrounding virus-infected trophoblasts characterised by PDL1-expressing macrophages, T-cell exclusion, and interferon blunting. In contrast to uninfected mothers, ACE2 was localised to the maternal side of the placental trophoblast layer of almost all mothers with placental SARS-CoV-2 infection, which may explain variable susceptibility to placental infection. Our results demonstrate a pivotal role for direct placental SARS-CoV-2 infection in driving the unique immunopathology of COVID-19 placentitis. Graphical Abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY
- organism: human
- assay: spatial transcriptomics
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: cell-cell communication
- approach: deep learning
- approach: statistical model
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