| Literature DB >> 33651717 |
Temesgen E Andargie1,2, Naoko Tsuji3, Fayaz Seifuddin4, Moon Kyoo Jang1, Peter St Yuen3, Hyesik Kong1, Ilker Tunc4, Komudi Singh4, Ananth Charya1, Kenneth Wilkins5, Steven Nathan6, Andrea Cox7, Mehdi Pirooznia4, Robert A Star3, Sean Agbor-Enoh1,7.
Abstract
INTRODUCTIONThe clinical course of coronavirus 2019 (COVID-19) is heterogeneous, ranging from mild to severe multiorgan failure and death. In this study, we analyzed cell-free DNA (cfDNA) as a biomarker of injury to define the sources of tissue injury that contribute to such different trajectories.METHODSWe conducted a multicenter prospective cohort study to enroll patients with COVID-19 and collect plasma samples. Plasma cfDNA was subject to bisulfite sequencing. A library of tissue-specific DNA methylation signatures was used to analyze sequence reads to quantitate cfDNA from different tissue types. We then determined the correlation of tissue-specific cfDNA measures to COVID-19 outcomes. Similar analyses were performed for healthy controls and a comparator group of patients with respiratory syncytial virus and influenza.RESULTSWe found markedly elevated levels and divergent tissue sources of cfDNA in COVID-19 patients compared with patients who had influenza and/or respiratory syncytial virus and with healthy controls. The major sources of cfDNA in COVID-19 were hematopoietic cells, vascular endothelium, hepatocytes, adipocytes, kidney, heart, and lung. cfDNA levels positively correlated with COVID-19 disease severity, C-reactive protein, and D-dimer. cfDNA profile at admission identified patients who subsequently required intensive care or died during hospitalization. Furthermore, the increased cfDNA in COVID-19 patients generated excessive mitochondrial ROS (mtROS) in renal tubular cells in a concentration-dependent manner. This mtROS production was inhibited by a TLR9-specific antagonist.CONCLUSIONcfDNA maps tissue injury that predicts COVID-19 outcomes and may mechanistically propagate COVID-19-induced tissue injury.FUNDINGIntramural Targeted Anti-COVID-19 grant, NIH.Entities:
Keywords: Bioinformatics; COVID-19; Inflammation; Molecular genetics
Year: 2021 PMID: 33651717 DOI: 10.1172/jci.insight.147610
Source DB: PubMed Journal: JCI Insight ISSN: 2379-3708