PT  - JOURNAL ARTICLE
AU  - Rendeiro, André F
AU  - Casano, Joseph
AU  - Vorkas, Charles Kyriakos
AU  - Singh, Harjot
AU  - Morales, Ayana
AU  - DeSimone, Robert A
AU  - Ellsworth, Grant B
AU  - Soave, Rosemary
AU  - Kapadia, Shashi N
AU  - Saito, Kohta
AU  - Brown, Christopher D
AU  - Hsu, JingMei
AU  - Kyriakides, Christopher
AU  - Chiu, Steven
AU  - Cappelli, Luca Vincenzo
AU  - Cacciapuoti, Maria Teresa
AU  - Tam, Wayne
AU  - Galluzzi, Lorenzo
AU  - Simonson, Paul D
AU  - Elemento, Olivier
AU  - Salvatore, Mirella
AU  - Inghirami, Giorgio
TI  - Profiling of immune dysfunction in COVID-19 patients allows early prediction of disease progression
AID  - 10.26508/lsa.202000955
DP  - 2021 Feb 01
TA  - Life Science Alliance
PG  - e202000955
VI  - 4
IP  - 2
4099  - http://www.life-science-alliance.org/content/4/2/e202000955.short
4100  - http://www.life-science-alliance.org/content/4/2/e202000955.full
SO  - Life Sci. Alliance2021 Feb 01; 4
AB  - 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.