SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Identification of immune correlates of fatal outcomes in critically ill COVID-19 patients.

Youngs, J; Provine, NM; Lim, N; Sharpe, HR; Amini, A; Chen, Y-L; Luo, J; Edmans, MD; Zacharopoulou, P; Chen, W; et al. Youngs, 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; Oxford Immunology Network Covid-19 response T cell Consortium; Oxford Protective T cell Immunology for COVID-19 (OPTIC) Clinica; 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, T (2021) Identification of immune correlates of fatal outcomes in critically ill COVID-19 patients. PLoS Pathog, 17 (9). e1009804. ISSN 1553-7374 https://doi.org/10.1371/journal.ppat.1009804
SGUL Authors: Ball, Jonathan Bicanic, Tihana

[img]
Preview
PDF Published Version
Available under License Creative Commons Attribution.

Download (4MB) | Preview
[img]
Preview
Image (TIFF) (S1 Fig) Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview
[img]
Preview
Image (TIFF) (S2 Fig) Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview
[img]
Preview
Image (TIFF) (S3 Fig) Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview
[img]
Preview
Image (TIFF) (S4 Fig) Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview
[img]
Preview
Image (TIFF) (S5 Fig) Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview
[img]
Preview
Image (TIFF) (S6 Fig) Published Version
Available under License Creative Commons Attribution.

Download (3MB) | Preview
[img]
Preview
Image (TIFF) (S7 Fig) Published Version
Available under License Creative Commons Attribution.

Download (632kB) | Preview
[img]
Preview
Image (TIFF) (S8 Fig) Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview
[img]
Preview
Image (TIFF) (S9 Fig) Published Version
Available under License Creative Commons Attribution.

Download (345kB) | Preview
[img]
Preview
Image (TIFF) (S10 Fig) Published Version
Available under License Creative Commons Attribution.

Download (7MB) | Preview
[img]
Preview
Image (TIFF) (S11 Fig) Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview
[img] Microsoft Excel (S1 Table) Published Version
Available under License Creative Commons Attribution.

Download (10kB)
[img] Microsoft Excel (S2 Table) Published Version
Available under License Creative Commons Attribution.

Download (10kB)
[img] Microsoft Excel (S3 Table) Published Version
Available under License Creative Commons Attribution.

Download (13kB)
[img] Microsoft Excel (S4 Table) Published Version
Available under License Creative Commons Attribution.

Download (15kB)
[img] Microsoft Excel (S5 Table) Published Version
Available under License Creative Commons Attribution.

Download (1MB)
[img] Microsoft Excel (S6 Table) Published Version
Available under License Creative Commons Attribution.

Download (5MB)
[img] Microsoft Word (.docx) Accepted Version
Available under License Creative Commons Attribution.

Download (7MB)

Abstract

Prior 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+ 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.

Item Type: Article
Additional Information: © 2021 Youngs et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Virology, 0605 Microbiology, 1107 Immunology, 1108 Medical Microbiology
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Clinical Education (INMECE )
Journal or Publication Title: PLoS Pathog
ISSN: 1553-7374
Language: eng
Dates:
DateEvent
16 September 2021Published
16 July 2021Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
108869/Z/15/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
216417/Z/19/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
203805/Z/16/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
WT109965MAWellcome Trusthttp://dx.doi.org/10.13039/100004440
PubMed ID: 34529726
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/113688
Publisher's version: https://doi.org/10.1371/journal.ppat.1009804

Actions (login required)

Edit Item Edit Item