Longitudinal immune profiling of mild and severe COVID-19 reveals innate and adaptive immune dysfunction and provides an early prediction tool for clinical progression.

TitleLongitudinal immune profiling of mild and severe COVID-19 reveals innate and adaptive immune dysfunction and provides an early prediction tool for clinical progression.
Publication TypeJournal Article
Year of Publication2020
AuthorsRendeiro AF, Casano J, Vorkas CKyriakos, Singh H, Morales A, DeSimone RA, Ellsworth GB, Soave R, Kapadia SN, Saito K, Brown CD, Hsu JM, Kyriakides C, Chui S, Cappelli L, Cacciapuoti MTeresa, Tam W, Galluzzi L, Simonson PD, Elemento O, Salvatore M, Inghirami G
JournalmedRxiv
Date Published2020 Sep 09
Abstract

With a rising incidence of COVID-19-associated morbidity and mortality worldwide, it is critical to elucidate the innate and adaptive immune responses that drive disease severity. We performed longitudinal immune profiling of peripheral blood mononuclear cells from 45 patients and healthy donors. We observed a dynamic immune landscape of innate and adaptive immune cells in disease progression and absolute changes of lymphocyte and myeloid cells in severe versus mild cases or healthy controls. Intubation and death were coupled with selected natural killer cell KIR receptor usage and IgM+ B cells and associated with profound CD4 and CD8 T cell exhaustion. Pseudo-temporal reconstruction of the hierarchy of disease progression revealed dynamic time changes in the global population recapitulating individual patients and the development of an eight-marker classifier of disease severity. Estimating the effect of clinical progression on the immune response and early assessment of disease progression risks may allow implementation of tailored therapies.

DOI10.1101/2020.09.08.20189092
Alternate JournalmedRxiv
PubMed ID32935114
PubMed Central IDPMC7491529
Grant ListT32 CA203702 / CA / NCI NIH HHS / United States
T32 AI007613 / AI / NIAID NIH HHS / United States
K08 AI132739 / AI / NIAID NIH HHS / United States
UL1 TR002384 / TR / NCATS NIH HHS / United States
K08 AI139360 / AI / NIAID NIH HHS / United States
KL2 TR002385 / TR / NCATS NIH HHS / United States
Related Faculty: 
Giorgio Inghirami, M.D. Paul Simonson, M.D., Ph.D. Robert DeSimone, M.D.

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