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

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...

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Detalles Bibliográficos
Autores principales: Rendeiro, André F., Casano, Joseph, Kyriakos Vorkas, Charles, Singh, Harjot, Morales, Ayana, DeSimone, Robert A., Ellsworth, Grant B., Soave, Rosemary, Kapadia, Shashi N., Saito, Kohta, Brown, Christopher D., Hsu, JingMei, Kyriakides, Christopher, Chiu, Steven, Cappelli, Luca, Teresa Cacciapuoti, Maria, Tam, Wayne, Galluzzi, Lorenzo, Simonson, Paul D., Elemento, Olivier, Salvatore, Mirella, Inghirami, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7491529/
https://www.ncbi.nlm.nih.gov/pubmed/32935114
http://dx.doi.org/10.1101/2020.09.08.20189092
Descripción
Sumario: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.