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10.1016/j.cell.2020.10.037

http://scihub22266oqcxt.onion/10.1016/j.cell.2020.10.037
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33171100!7598382!33171100
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suck abstract from ncbi


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pmid33171100      Cell 2020 ; 183 (6): 1479-1495.e20
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  • Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19 #MMPMID33171100
  • Su Y; Chen D; Yuan D; Lausted C; Choi J; Dai CL; Voillet V; Duvvuri VR; Scherler K; Troisch P; Baloni P; Qin G; Smith B; Kornilov SA; Rostomily C; Xu A; Li J; Dong S; Rothchild A; Zhou J; Murray K; Edmark R; Hong S; Heath JE; Earls J; Zhang R; Xie J; Li S; Roper R; Jones L; Zhou Y; Rowen L; Liu R; Mackay S; O'Mahony DS; Dale CR; Wallick JA; Algren HA; Zager MA; Wei W; Price ND; Huang S; Subramanian N; Wang K; Magis AT; Hadlock JJ; Hood L; Aderem A; Bluestone JA; Lanier LL; Greenberg PD; Gottardo R; Davis MM; Goldman JD; Heath JR
  • Cell 2020[Dec]; 183 (6): 1479-1495.e20 PMID33171100show ga
  • We present an integrated analysis of the clinical measurements, immune cells, and plasma multi-omics of 139 COVID-19 patients representing all levels of disease severity, from serial blood draws collected during the first week of infection following diagnosis. We identify a major shift between mild and moderate disease, at which point elevated inflammatory signaling is accompanied by the loss of specific classes of metabolites and metabolic processes. Within this stressed plasma environment at moderate disease, multiple unusual immune cell phenotypes emerge and amplify with increasing disease severity. We condensed over 120,000 immune features into a single axis to capture how different immune cell classes coordinate in response to SARS-CoV-2. This immune-response axis independently aligns with the major plasma composition changes, with clinical metrics of blood clotting, and with the sharp transition between mild and moderate disease. This study suggests that moderate disease may provide the most effective setting for therapeutic intervention.
  • |*COVID-19/blood/immunology[MESH]
  • |*Genomics[MESH]
  • |*RNA-Seq[MESH]
  • |*SARS-CoV-2/immunology/metabolism[MESH]
  • |*Single-Cell Analysis[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]


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