Author: 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 AR.; Horton, Maureen; Smith, Kellie; Pekosz, Andrew; D’Alessio, Franco R.; Yegnasubramanian, Srinivasan; Ji, Hongkai; Cox, Andrea L.; Powell, Jonathan D.
Title: Metabolic programs define dysfunctional immune responses in severe COVID-19 patients Cord-id: k4hur9yw Document date: 2021_2_26
ID: k4hur9yw
Snippet: 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 COVID-19 patients compared to other viral infections, we identified a unique population of T cells. These T cells express increased VDAC1, accompanied by gene programs and functional characteristics linked to mitochondrial dysfunction and apoptosis. The percentage of these cells increases in elderly patients and corr
Document: 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 COVID-19 patients compared to other viral infections, we identified a unique population of T cells. These T cells express increased 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.
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