Matches in SemOpenAlex for { <https://semopenalex.org/work/W3126541927> ?p ?o ?g. }
- W3126541927 abstract "Abstract Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 infection presents with varied clinical manifestations 1 , ranging from mild symptoms to acute respiratory distress syndrome (ARDS) with high mortality 2,3 . Despite extensive analyses, there remains an urgent need to delineate immune cell states that contribute to mortality in severe COVID-19. We performed high-dimensional cellular and molecular profiling of blood and respiratory samples from critically ill COVID-19 patients to define immune cell genomic states that are predictive of outcome in severe COVID-19 disease. Critically ill patients admitted to the intensive care unit (ICU) manifested increased frequencies of inflammatory monocytes and plasmablasts that were also associated with ARDS not due to COVID-19. Single-cell RNAseq (scRNAseq)-based deconvolution of genomic states of peripheral immune cells revealed distinct gene modules that were associated with COVID-19 outcome. Notably, monocytes exhibited bifurcated genomic states, with expression of a cytokine gene module exemplified by CCL4 (MIP-1β) associated with survival and an interferon signaling module associated with death. These gene modules were correlated with higher levels of MIP-1β and CXCL10 levels in plasma, respectively. Monocytes expressing genes reflective of these divergent modules were also detectable in endotracheal aspirates. Machine learning algorithms identified the distinctive monocyte modules as part of a multivariate peripheral immune system state that was predictive of COVID-19 mortality. Follow-up analysis of the monocyte modules on ICU day 5 was consistent with bifurcated states that correlated with distinct inflammatory cytokines. Our data suggests a pivotal role for monocytes and their specific inflammatory genomic states in contributing to mortality in life-threatening COVID-19 disease and may facilitate discovery of new diagnostics and therapeutics." @default.
- W3126541927 created "2021-02-15" @default.
- W3126541927 creator A5001000053 @default.
- W3126541927 creator A5008106149 @default.
- W3126541927 creator A5013869141 @default.
- W3126541927 creator A5015027977 @default.
- W3126541927 creator A5022256556 @default.
- W3126541927 creator A5023682016 @default.
- W3126541927 creator A5024672115 @default.
- W3126541927 creator A5034545061 @default.
- W3126541927 creator A5039310296 @default.
- W3126541927 creator A5040784287 @default.
- W3126541927 creator A5042618575 @default.
- W3126541927 creator A5044898944 @default.
- W3126541927 creator A5055493979 @default.
- W3126541927 creator A5057993946 @default.
- W3126541927 creator A5060940965 @default.
- W3126541927 creator A5062248810 @default.
- W3126541927 creator A5063843417 @default.
- W3126541927 creator A5065252445 @default.
- W3126541927 creator A5068146725 @default.
- W3126541927 creator A5072110251 @default.
- W3126541927 creator A5072218107 @default.
- W3126541927 creator A5074076583 @default.
- W3126541927 creator A5075852714 @default.
- W3126541927 creator A5076389214 @default.
- W3126541927 creator A5078884068 @default.
- W3126541927 creator A5079729144 @default.
- W3126541927 creator A5079966709 @default.
- W3126541927 creator A5089064579 @default.
- W3126541927 creator A5091187053 @default.
- W3126541927 date "2021-02-10" @default.
- W3126541927 modified "2023-10-03" @default.
- W3126541927 title "Bifurcated monocyte states are predictive of mortality in severe COVID-19" @default.
- W3126541927 cites W1570622790 @default.
- W3126541927 cites W1756265025 @default.
- W3126541927 cites W1831050183 @default.
- W3126541927 cites W1975852576 @default.
- W3126541927 cites W2006617902 @default.
- W3126541927 cites W2013054229 @default.
- W3126541927 cites W2123669249 @default.
- W3126541927 cites W2164656188 @default.
- W3126541927 cites W2212831999 @default.
- W3126541927 cites W2616922646 @default.
- W3126541927 cites W2785085486 @default.
- W3126541927 cites W2902652978 @default.
- W3126541927 cites W2949177718 @default.
- W3126541927 cites W2979680395 @default.
- W3126541927 cites W2999410311 @default.
- W3126541927 cites W3008827533 @default.
- W3126541927 cites W3009912996 @default.
- W3126541927 cites W3011134208 @default.
- W3126541927 cites W3011230498 @default.
- W3126541927 cites W3011610993 @default.
- W3126541927 cites W3016489853 @default.
- W3126541927 cites W3016535995 @default.
- W3126541927 cites W3021269002 @default.
- W3126541927 cites W3024016727 @default.
- W3126541927 cites W3024177957 @default.
- W3126541927 cites W3024193040 @default.
- W3126541927 cites W3035343971 @default.
- W3126541927 cites W3036206386 @default.
- W3126541927 cites W3036760806 @default.
- W3126541927 cites W3041278562 @default.
- W3126541927 cites W3041494167 @default.
- W3126541927 cites W3041582510 @default.
- W3126541927 cites W3042587425 @default.
- W3126541927 cites W3043831218 @default.
- W3126541927 cites W3046988613 @default.
- W3126541927 cites W3047617837 @default.
- W3126541927 cites W3049325061 @default.
- W3126541927 cites W3080981445 @default.
- W3126541927 cites W3082355253 @default.
- W3126541927 cites W3087862874 @default.
- W3126541927 cites W3088256443 @default.
- W3126541927 cites W3093261446 @default.
- W3126541927 cites W3093604087 @default.
- W3126541927 cites W3093867667 @default.
- W3126541927 cites W3094209984 @default.
- W3126541927 cites W3094419073 @default.
- W3126541927 cites W3094906854 @default.
- W3126541927 cites W3099829059 @default.
- W3126541927 cites W3105908160 @default.
- W3126541927 cites W3110466220 @default.
- W3126541927 cites W3111255098 @default.
- W3126541927 cites W3112385563 @default.
- W3126541927 cites W3119231619 @default.
- W3126541927 cites W3119648922 @default.
- W3126541927 cites W3120857229 @default.
- W3126541927 cites W3123482088 @default.
- W3126541927 cites W4210642183 @default.
- W3126541927 doi "https://doi.org/10.1101/2021.02.10.430499" @default.
- W3126541927 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7885916" @default.
- W3126541927 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33594364" @default.
- W3126541927 hasPublicationYear "2021" @default.
- W3126541927 type Work @default.
- W3126541927 sameAs 3126541927 @default.
- W3126541927 citedByCount "5" @default.
- W3126541927 countsByYear W31265419272021 @default.
- W3126541927 countsByYear W31265419272022 @default.