Journal
CELL REPORTS
Volume 34, Issue 11, Pages -Publisher
CELL PRESS
DOI: 10.1016/j.celrep.2021.108863
Keywords
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Funding
- Johns Hopkins University Provost Research Grant
- Bill and Melinda Gates Foundation [134582]
- National Institutes of Health (NIH) Centers of Excellence in Influenza Research and Surveillance [HHSN272201400007C]
- NIH [P41EB028239]
- JHU
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), NIH
- US Department of Health
- Human Services Biomedical Advanced Research and Development Authority (BARDA) [IDSEP160031-01-00]
- NIAID [R01AI120938, R01AI120938S1, R01AI128779, R01-AI153349, R01-AI145435-A1, R21AI149760, U19A1088791]
- Johns Hopkins Center for Influenza Research and Surveillance (JHCEIRS) at Johns Hopkins University [HHSN272201400007C]
- National Institute of General Medical Sciences (NIGMS) of the NIH [S10OD023548]
- Johns Hopkins Institute for Clinical and Translational Research [UL1TR001079]
- National Human Genome Research Institute of the NIH grant [R01HG009518]
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The study identifies a unique population of T cells expressing increased VDAC1 in severe and recovered COVID-19 patients, associated with mitochondrial dysfunction and apoptosis. Additionally, specific metabolic phenotypes of myeloid-derived suppressor cells in COVID-19 patients can distinguish between severe and mild disease. These findings offer insight into dysfunctional immune response in COVID-19 patients and potential for developing personalized therapeutic approaches.
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.
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