Longitudinal proteomic analysis of severe COVID-19 reveals survival-associated signatures, tissue-specific cell death, and cell-cell interactions

Proteome Cell type
DOI: 10.1016/j.xcrm.2021.100287 Publication Date: 2021-05-03T11:49:37Z
ABSTRACT
Mechanisms underlying severe coronavirus disease 2019 (COVID-19) remain poorly understood. We analyze several thousand plasma proteins longitudinally in 306 COVID-19 patients and 78 symptomatic controls, uncovering immune non-immune linked to COVID-19. Deconvolution of our proteome data using published scRNA-seq datasets reveals contributions from circulating tissue cells. Sixteen percent display reduced inflammation yet comparably poor outcomes. Comparison who died severely ill survivors identifies dynamic immune-cell-derived tissue-associated associated with survival, including exocrine pancreatic proteases. Using derived tissue-specific cell-type-specific intracellular death signatures, cellular angiotensin-converting enzyme 2 (ACE2) expression, data, we infer whether organ damage resulted direct or indirect effects infection. propose a model which interactions among myeloid, epithelial, T cells drive damage. These provide important insights rich resource for analysis mechanisms disease.
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