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Nat Biotechnol . Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19

tetano

Editor, Senior Moderator
Nat Biotechnol


. 2021 Sep 6.
doi: 10.1038/s41587-021-01020-4. Online ahead of print.
Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19


Jihoon W Lee[SUP] #[/SUP][SUP] 1 [/SUP], Yapeng Su[SUP] #[/SUP][SUP] 2 3 4 [/SUP], Priyanka Baloni[SUP] 5 [/SUP], Daniel Chen[SUP] 5 [/SUP], Ana Jimena Pavlovitch-Bedzyk[SUP] 6 [/SUP], Dan Yuan[SUP] 5 [/SUP], Venkata R Duvvuri[SUP] 5 [/SUP], Rachel H Ng[SUP] 5 [/SUP], Jongchan Choi[SUP] 5 [/SUP], Jingyi Xie[SUP] 5 [/SUP], Rongyu Zhang[SUP] 5 [/SUP], Kim Murray[SUP] 5 [/SUP], Sergey Kornilov[SUP] 5 [/SUP], Brett Smith[SUP] 5 [/SUP], Andrew T Magis[SUP] 5 [/SUP], Dave S B Hoon[SUP] 7 [/SUP], Jennifer J Hadlock[SUP] 5 [/SUP], Jason D Goldman[SUP] 8 9 10 [/SUP], Nathan D Price[SUP] 5 11 [/SUP], Raphael Gottardo[SUP] 12 13 14 [/SUP], Mark M Davis[SUP] 6 15 16 [/SUP], Leroy Hood[SUP] 5 9 [/SUP], Philip D Greenberg[SUP] 17 18 [/SUP], James R Heath[SUP] 19 20 [/SUP]



Affiliations

Abstract

A better understanding of the metabolic alterations in immune cells during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may elucidate the wide diversity of clinical symptoms experienced by individuals with coronavirus disease 2019 (COVID-19). Here, we report the metabolic changes associated with the peripheral immune response of 198 individuals with COVID-19 through an integrated analysis of plasma metabolite and protein levels as well as single-cell multiomics analyses from serial blood draws collected during the first week after clinical diagnosis. We document the emergence of rare but metabolically dominant T cell subpopulations and find that increasing disease severity correlates with a bifurcation of monocytes into two metabolically distinct subsets. This integrated analysis reveals a robust interplay between plasma metabolites and cell-type-specific metabolic reprogramming networks that is associated with disease severity and could predict survival.
 
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