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dc.contributor.authorYoungs, Jonathan
dc.contributor.authorProvine, Nicholas M.
dc.contributor.authorLim, Nicholas
dc.contributor.authorSharpe, Hannah R.
dc.contributor.authorAmini, Ali
dc.contributor.authorChen, Yi-Ling
dc.contributor.authorLuo, Jian
dc.contributor.authorEdmans, Matthew D.
dc.contributor.authorZacharopoulou, Panagiota
dc.contributor.authorChen, Wentao
dc.contributor.authorSampson, Oliver
dc.contributor.authorPaton, Robert
dc.contributor.authorHurt, William J.
dc.contributor.authorDuncan, David A.
dc.contributor.authorMcNaughton, Anna L.
dc.contributor.authorMiao, Vincent N.
dc.contributor.authorLeaver, Susannah
dc.contributor.authorWyncoll, Duncan L. A.
dc.contributor.authorBall, Jonathan
dc.contributor.authorHopkins, Philip
dc.contributor.authorSkelly, Donal T.
dc.contributor.authorBarnes, Eleanor
dc.contributor.authorDunachie, Susanna
dc.contributor.authorOgg, Graham
dc.contributor.authorLambe, Teresa
dc.contributor.authorPavord, Ian
dc.contributor.authorShalek, Alexander K
dc.contributor.authorThompson, Craig P.
dc.contributor.authorXue, Luzheng
dc.contributor.authorMacallan, Derek C.
dc.contributor.authorGoulder, Philip
dc.contributor.authorKlenerman, Paul
dc.contributor.authorBicanic, Tihana
dc.date.accessioned2021-09-24T18:57:41Z
dc.date.available2021-09-24T18:57:41Z
dc.date.issued2021-09
dc.date.submitted2021-03
dc.identifier.issn1553-7374
dc.identifier.urihttps://hdl.handle.net/1721.1/132638
dc.description.abstractPrior studies have demonstrated that immunologic dysfunction underpins severe illness in COVID-19 patients, but have lacked an in-depth analysis of the immunologic drivers of death in the most critically ill patients. We performed immunophenotyping of viral antigen-specific and unconventional T cell responses, neutralizing antibodies, and serum proteins in critically ill patients with SARS-CoV-2 infection, using influenza infection, SARS-CoV-2-convalescent health care workers, and healthy adults as controls. We identify mucosal-associated invariant T (MAIT) cell activation as an independent and significant predictor of death in COVID-19 (HR = 5.92, 95% CI = 2.49–14.1). MAIT cell activation correlates with several other mortality-associated immunologic measures including broad activation of CD8<jats:sup>+</jats:sup> T cells and non-Vδ2 γδT cells, and elevated levels of cytokines and chemokines, including GM-CSF, CXCL10, CCL2, and IL-6. MAIT cell activation is also a predictor of disease severity in influenza (ECMO/death HR = 4.43, 95% CI = 1.08–18.2). Single-cell RNA-sequencing reveals a shift from focused IFNα-driven signals in COVID-19 ICU patients who survive to broad pro-inflammatory responses in fatal COVID-19 –a feature not observed in severe influenza. We conclude that fatal COVID-19 infection is driven by uncoordinated inflammatory responses that drive a hierarchy of T cell activation, elements of which can serve as prognostic indicators and potential targets for immune intervention.en_US
dc.language.isoen
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.ppat.1009804en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleIdentification of immune correlates of fatal outcomes in critically ill COVID-19 patientsen_US
dc.typeArticleen_US
dc.identifier.citationYoungs, Jonathan et al "Identification of immune correlates of fatal outcomes in critically ill COVID-19 patients." PLoS Pathogens 17, 9 (September 2021): e1009804.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistryen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.relation.journalPLoS Pathogensen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-09-24T17:23:55Z
dspace.orderedauthorsYoungs, J; Provine, NM; Lim, N; Sharpe, HR; Amini, A; Chen, Y-L; Luo, J; Edmans, MD; Zacharopoulou, P; Chen, W; Sampson, O; Paton, R; Hurt, WJ; Duncan, DA; McNaughton, AL; Miao, VN; Leaver, S; Wyncoll, DLA; Ball, J; Hopkins, P; Skelly, DT; Barnes, E; Dunachie, S; Ogg, G; Lambe, T; Pavord, I; Shalek, AK; Thompson, CP; Xue, L; Macallan, DC; Goulder, P; Klenerman, P; Bicanic, Ten_US
dspace.date.submission2021-09-24T17:23:56Z
mit.journal.volume17en_US
mit.journal.issue9en_US
mit.licensePUBLISHER_CC
mit.metadata.statusCompleteen_US


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