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Metabolic programs define dysfunctional immune responses in severe COVID-19 patients

It is unclear why some SARS-CoV-2 patients readily resolve infection while others develop severe disease. By interrogating metabolic programs of immune cells in severe and recovered coronavirus disease 2019 (COVID-19) patients compared with other viral infections, we identify a unique population of...

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Detalles Bibliográficos
Autores principales: Thompson, Elizabeth A., Cascino, Katherine, Ordonez, Alvaro A., Zhou, Weiqiang, Vaghasia, Ajay, Hamacher-Brady, Anne, Brady, Nathan R., Sun, Im-Hong, Wang, Rulin, Rosenberg, Avi Z., Delannoy, Michael, Rothman, Richard, Fenstermacher, Katherine, Sauer, Lauren, Shaw-Saliba, Kathyrn, Bloch, Evan M., Redd, Andrew D., Tobian, Aaron A.R., Horton, Maureen, Smith, Kellie, Pekosz, Andrew, D’Alessio, Franco R., Yegnasubramanian, Srinivasan, Ji, Hongkai, Cox, Andrea L., Powell, Jonathan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908880/
https://www.ncbi.nlm.nih.gov/pubmed/33691089
http://dx.doi.org/10.1016/j.celrep.2021.108863
Descripción
Sumario:It is unclear why some SARS-CoV-2 patients readily resolve infection while others develop severe disease. By interrogating metabolic programs of immune cells in severe and recovered coronavirus disease 2019 (COVID-19) patients compared with other viral infections, we identify a unique population of T cells. These T cells express increased Voltage-Dependent Anion Channel 1 (VDAC1), accompanied by gene programs and functional characteristics linked to mitochondrial dysfunction and apoptosis. The percentage of these cells increases in elderly patients and correlates with lymphopenia. Importantly, T cell apoptosis is inhibited in vitro by targeting the oligomerization of VDAC1 or blocking caspase activity. We also observe an expansion of myeloid-derived suppressor cells with unique metabolic phenotypes specific to COVID-19, and their presence distinguishes severe from mild disease. Overall, the identification of these metabolic phenotypes provides insight into the dysfunctional immune response in acutely ill COVID-19 patients and provides a means to predict and track disease severity and/or design metabolic therapeutic regimens.