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  • Longitudinal proteomic analysis of severe COVID-19 reveals survival-associated signatures, tissue-specific cell death, and cell-cell interactions #MMPMID33969320
  • Filbin MR; Mehta A; Schneider AM; Kays KR; Guess JR; Gentili M; Fenyves BG; Charland NC; Gonye ALK; Gushterova I; Khanna HK; LaSalle TJ; Lavin-Parsons KM; Lilley BM; Lodenstein CL; Manakongtreecheep K; Margolin JD; McKaig BN; Rojas-Lopez M; Russo BC; Sharma N; Tantivit J; Thomas MF; Gerszten RE; Heimberg GS; Hoover PJ; Lieb DJ; Lin B; Ngo D; Pelka K; Reyes M; Smillie CS; Waghray A; Wood TE; Zajac AS; Jennings LL; Grundberg I; Bhattacharyya RP; Parry BA; Villani AC; Sade-Feldman M; Hacohen N; Goldberg MB
  • Cell Rep Med 2021[May]; 2 (5): 100287 PMID33969320show ga
  • Mechanisms underlying severe coronavirus disease 2019 (COVID-19) disease remain poorly understood. We analyze several thousand plasma proteins longitudinally in 306 COVID-19 patients and 78 symptomatic controls, uncovering immune and non-immune proteins linked to COVID-19. Deconvolution of our plasma proteome data using published scRNA-seq datasets reveals contributions from circulating immune and tissue cells. Sixteen percent of patients display reduced inflammation yet comparably poor outcomes. Comparison of patients who died to severely ill survivors identifies dynamic immune-cell-derived and tissue-associated proteins associated with survival, including exocrine pancreatic proteases. Using derived tissue-specific and cell-type-specific intracellular death signatures, cellular angiotensin-converting enzyme 2 (ACE2) expression, and our data, we infer whether organ damage resulted from direct or indirect effects of infection. We propose a model in which interactions among myeloid, epithelial, and T cells drive tissue damage. These datasets provide important insights and a rich resource for analysis of mechanisms of severe COVID-19 disease.
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  • suck abstract from ncbi

    100287 5.2 2021