Cell-free DNA maps COVID-19 tissue injury and risk of death and can cause tissue injury
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.M...
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Published in | JCI insight Vol. 6; no. 7 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
American Society for Clinical Investigation
08.04.2021
American Society for Clinical investigation |
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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. |
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AbstractList | 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. 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.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. INTRODUCTION The 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.METHODS We 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.RESULTS We 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.CONCLUSION cfDNA maps tissue injury that predicts COVID-19 outcomes and may mechanistically propagate COVID-19–induced tissue injury.FUNDING Intramural Targeted Anti–COVID-19 grant, NIH. |
Author | Singh, Komudi Star, Robert A. Andargie, Temesgen E. Nathan, Steven Jang, Moon Kyoo Pirooznia, Mehdi Yuen, Peter S.T. Kong, Hyesik Wilkins, Kenneth Charya, Ananth Tunc, Ilker Agbor-Enoh, Sean Tsuji, Naoko Cox, Andrea Seifuddin, Fayaz |
AuthorAffiliation | 3 Renal Diagnostics and Therapeutics Unit, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, Maryland, USA 1 Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA 5 Office of the Director, NIDDK, NIH, Bethesda, Maryland, USA 7 Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA 2 Department of Biology, Howard University, Washington DC, USA 6 Advanced Lung Disease and Transplant Program, Inova Fairfax Hospital, Fairfax, Virginia, USA 4 Bioinformatics and Computation Core, NHLBI, Maryland, USA |
AuthorAffiliation_xml | – name: 1 Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA – name: 3 Renal Diagnostics and Therapeutics Unit, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, Maryland, USA – name: 6 Advanced Lung Disease and Transplant Program, Inova Fairfax Hospital, Fairfax, Virginia, USA – name: 7 Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA – name: 2 Department of Biology, Howard University, Washington DC, USA – name: 4 Bioinformatics and Computation Core, NHLBI, Maryland, USA – name: 5 Office of the Director, NIDDK, NIH, Bethesda, Maryland, USA |
Author_xml | – sequence: 1 givenname: Temesgen E. surname: Andargie fullname: Andargie, Temesgen E. – sequence: 2 givenname: Naoko orcidid: 0000-0003-3120-5562 surname: Tsuji fullname: Tsuji, Naoko – sequence: 3 givenname: Fayaz orcidid: 0000-0003-3357-7888 surname: Seifuddin fullname: Seifuddin, Fayaz – sequence: 4 givenname: Moon Kyoo orcidid: 0000-0002-1657-2877 surname: Jang fullname: Jang, Moon Kyoo – sequence: 5 givenname: Peter S.T. orcidid: 0000-0001-9557-3909 surname: Yuen fullname: Yuen, Peter S.T. – sequence: 6 givenname: Hyesik surname: Kong fullname: Kong, Hyesik – sequence: 7 givenname: Ilker surname: Tunc fullname: Tunc, Ilker – sequence: 8 givenname: Komudi orcidid: 0000-0002-6413-541X surname: Singh fullname: Singh, Komudi – sequence: 9 givenname: Ananth surname: Charya fullname: Charya, Ananth – sequence: 10 givenname: Kenneth surname: Wilkins fullname: Wilkins, Kenneth – sequence: 11 givenname: Steven surname: Nathan fullname: Nathan, Steven – sequence: 12 givenname: Andrea surname: Cox fullname: Cox, Andrea – sequence: 13 givenname: Mehdi orcidid: 0000-0002-4210-6458 surname: Pirooznia fullname: Pirooznia, Mehdi – sequence: 14 givenname: Robert A. surname: Star fullname: Star, Robert A. – sequence: 15 givenname: Sean orcidid: 0000-0002-9380-9161 surname: Agbor-Enoh fullname: Agbor-Enoh, Sean |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33651717$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1161/ATVBAHA.115.306035 10.1056/NEJMc2011400 10.1038/s41591-020-1051-9 10.1002/path.1597 10.1159/000508162 10.1084/jem.20200652 10.1038/nri1900 10.1038/s41598-019-50044-z 10.1038/s41467-017-02088-w 10.1016/S2213-2600(20)30243-5 10.1186/s13054-019-2683-3 10.1080/15384047.2019.1598759 10.1093/cid/ciaa248 10.1002/jmv.26031 10.1093/biomet/75.2.383 10.1007/s00068-018-0963-2 10.1099/vir.0.061986-0 10.1016/j.immuni.2018.03.013 10.1177/1753466620937175 10.1182/blood.2020007008 10.1152/ajprenal.00363.2006 10.1016/j.healun.2018.01.1305 10.1186/gb-2012-13-10-r83 10.1093/bioinformatics/btr167 10.1038/s41591-020-0901-9 10.1681/ASN.2020050744 10.1152/ajprenal.00461.2007 10.1016/j.phrs.2020.105107 10.1002/jha2.44 10.4155/fsoa-2017-0140 10.1038/cddis.2016.410 10.1093/ofid/ofaa249 10.1001/jama.2020.8907 10.1097/SHK.0000000000000549 10.1016/j.ebiom.2018.12.029 10.1084/jem.20201129 10.1172/jci.insight.138999 10.15585/mmwr.mm6924e2 10.1073/pnas.1519286113 10.4049/jimmunol.1003414 10.1016/S0140-6736(20)30937-5 10.1080/07853890.2020.1790643 10.1126/sciimmunol.abc3582 10.1016/j.xcrm.2020.100144 10.1016/j.molmed.2020.01.012 10.1016/j.kint.2020.04.003 10.1126/scitranslmed.3007803 10.1016/j.ebiom.2019.10.008 10.1016/j.xcrm.2020.100052 10.1038/sj.ki.5000165 10.1186/s12967-019-02189-8 10.1097/TP.0000000000003240 10.1016/j.pan.2020.04.021 10.1093/ndt/gfy397 10.1016/S2213-2600(20)30193-4 10.3390/cells8040328 10.1016/j.cell.2020.04.035 10.1136/gutjnl-2020-320891 10.1126/science.abc6027 10.1016/S1473-3099(20)30434-5 10.1111/eci.13015 10.14806/ej.17.1.200 10.1007/s11239-020-02324-z 10.1056/NEJMoa2015432 10.1681/ASN.2015040376 10.1038/s41577-020-0311-8 |
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References | B20 B64 B65 B22 B66 B23 B67 B24 B68 B25 B69 B26 B27 B28 B29 Haick (B47) 2014; 95 Scozzi (B41) 2021; 6 B70 B71 B72 Yao (B21) 2020; 49 B73 B30 B31 B32 B33 B34 B35 B36 Stortz (B42) 2019; 9 B38 B39 Argenziano (B59) 2020; 369 B1 B2 B3 B4 B5 B6 B7 B8 B9 B40 B43 B44 B45 Cheng (B37) Huang (B46) 2020; 14 B49 B50 B51 B52 B53 B10 B54 B11 B55 B12 B56 B13 B57 B14 B58 B15 B16 B17 B18 B19 Fox (B48) 2020; 8 B60 B61 B62 B63 |
References_xml | – ident: B31 doi: 10.1161/ATVBAHA.115.306035 – ident: B35 – ident: B3 doi: 10.1056/NEJMc2011400 – ident: B27 doi: 10.1038/s41591-020-1051-9 – ident: B22 doi: 10.1002/path.1597 – ident: B18 doi: 10.1159/000508162 – ident: B49 doi: 10.1084/jem.20200652 – ident: B64 doi: 10.1038/nri1900 – volume: 9 start-page: 1 issue: 1 year: 2019 ident: B42 article-title: Cell-free nuclear, but not mitochondrial, DNA concentrations correlate with the early host inflammatory response after severe trauma publication-title: Sci Rep doi: 10.1038/s41598-019-50044-z – ident: B15 doi: 10.1038/s41467-017-02088-w – volume: 8 issue: 7 year: 2020 ident: B48 article-title: Pulmonary and cardiac pathology in African American patients with COVID-19: an autopsy series from New Orleans publication-title: Lancet Respir Med doi: 10.1016/S2213-2600(20)30243-5 – ident: B53 doi: 10.1186/s13054-019-2683-3 – ident: B8 doi: 10.1080/15384047.2019.1598759 – ident: B24 doi: 10.1093/cid/ciaa248 – ident: B43 doi: 10.1002/jmv.26031 – ident: B73 doi: 10.1093/biomet/75.2.383 – volume: 49 start-page: 411 issue: 5 year: 2020 ident: B21 article-title: A pathological report of three COVID-19 cases by minimally invasive autopsies publication-title: Zhonghua Bing Li Xue Za Zhi – ident: B28 doi: 10.1007/s00068-018-0963-2 – volume: 95 start-page: 578 issue: Pt 3 year: 2014 ident: B47 article-title: Neutrophils are needed for an effective immune response against pulmonary rat coronavirus infection, but also contribute to pathology publication-title: J Gen Virol doi: 10.1099/vir.0.061986-0 – ident: B63 doi: 10.1016/j.immuni.2018.03.013 – volume: 14 year: 2020 ident: B46 article-title: C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis publication-title: Ther Adv Respir Dis doi: 10.1177/1753466620937175 – ident: B50 doi: 10.1182/blood.2020007008 – ident: B72 doi: 10.1152/ajprenal.00363.2006 – ident: B13 doi: 10.1016/j.healun.2018.01.1305 – ident: B70 doi: 10.1186/gb-2012-13-10-r83 – ident: B69 doi: 10.1093/bioinformatics/btr167 – volume: 6 issue: 4 year: 2021 ident: B41 article-title: Circulating mitochondrial DNA is an early indicator of severe illness and mortality from COVID-19 publication-title: JCI Insight – ident: B25 doi: 10.1038/s41591-020-0901-9 – ident: B62 doi: 10.1681/ASN.2020050744 – ident: B65 doi: 10.1152/ajprenal.00461.2007 – ident: B61 doi: 10.1016/j.phrs.2020.105107 – ident: B51 doi: 10.1002/jha2.44 – ident: B9 doi: 10.4155/fsoa-2017-0140 – ident: B52 doi: 10.1186/s13054-019-2683-3 – ident: B29 doi: 10.1038/cddis.2016.410 – ident: B4 doi: 10.1093/ofid/ofaa249 – ident: B40 doi: 10.1001/jama.2020.8907 – ident: B56 doi: 10.1097/SHK.0000000000000549 – ident: B12 doi: 10.1016/j.ebiom.2018.12.029 – ident: B33 doi: 10.1084/jem.20201129 – ident: B32 doi: 10.1172/jci.insight.138999 – ident: B2 doi: 10.15585/mmwr.mm6924e2 – ident: B14 doi: 10.1073/pnas.1519286113 – ident: B36 doi: 10.4049/jimmunol.1003414 – ident: B5 doi: 10.1016/S0140-6736(20)30937-5 – ident: B60 doi: 10.1080/07853890.2020.1790643 – ident: B17 doi: 10.1126/sciimmunol.abc3582 – ident: B45 doi: 10.1016/j.xcrm.2020.100144 – ident: B1 – ident: B7 doi: 10.1016/j.molmed.2020.01.012 – ident: B38 doi: 10.1016/j.kint.2020.04.003 – ident: B11 doi: 10.1126/scitranslmed.3007803 – ident: B37 article-title: Cell-free DNA tissues-of-origin by methylation profiling reveals significant cell, tissue and organ-specific injury related to COVID-19 severity publication-title: Med (N Y) – ident: B67 doi: 10.1016/j.ebiom.2019.10.008 – ident: B20 doi: 10.1016/j.xcrm.2020.100052 – volume: 369 year: 2020 ident: B59 article-title: Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series publication-title: BMJ – ident: B66 doi: 10.1038/sj.ki.5000165 – ident: B44 doi: 10.1186/s12967-019-02189-8 – ident: B58 doi: 10.1097/TP.0000000000003240 – ident: B54 doi: 10.1016/j.pan.2020.04.021 – ident: B71 doi: 10.1093/ndt/gfy397 – ident: B19 doi: 10.1016/S2213-2600(20)30193-4 – ident: B57 doi: 10.3390/cells8040328 – ident: B16 doi: 10.1016/j.cell.2020.04.035 – ident: B55 doi: 10.1136/gutjnl-2020-320891 – ident: B26 doi: 10.1126/science.abc6027 – ident: B39 doi: 10.1016/S1473-3099(20)30434-5 – ident: B10 doi: 10.1111/eci.13015 – ident: B68 doi: 10.14806/ej.17.1.200 – ident: B34 doi: 10.1007/s11239-020-02324-z – ident: B6 doi: 10.1056/NEJMoa2015432 – ident: B30 doi: 10.1681/ASN.2015040376 – ident: B23 doi: 10.1038/s41577-020-0311-8 |
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Snippet | INTRODUCTIONThe clinical course of coronavirus 2019 (COVID-19) is heterogeneous, ranging from mild to severe multiorgan failure and death. In this study, we... INTRODUCTION The clinical course of coronavirus 2019 (COVID-19) is heterogeneous, ranging from mild to severe multiorgan failure and death. In this study, we... |
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SubjectTerms | Biomarkers - analysis Biomarkers - blood Cell-Free Nucleic Acids - analysis Cell-Free Nucleic Acids - blood Clinical Medicine Cohort Studies COVID-19 COVID-19 - blood COVID-19 - complications COVID-19 - diagnosis COVID-19 - mortality DNA Methylation Female Humans Inflammation Male Middle Aged Multiple Organ Failure - blood Multiple Organ Failure - diagnosis Multiple Organ Failure - etiology Organ Specificity - genetics Outcome Assessment, Health Care Prognosis Prospective Studies Reproducibility of Results SARS-CoV-2 - isolation & purification SARS-CoV-2 - pathogenicity Severity of Illness Index United States - epidemiology |
Title | Cell-free DNA maps COVID-19 tissue injury and risk of death and can cause tissue injury |
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