Europe PMC

Abstract 


Background

Coronavirus disease 2019 (COVID-19) primarily affects the lungs, but evidence of systemic disease with multi-organ involvement is emerging. Here, we developed a blood test to broadly quantify cell-, tissue-, and organ-specific injury due to COVID-19.

Methods

Our test leverages genome-wide methylation profiling of circulating cell-free DNA in plasma. We assessed the utility of this test to identify subjects with severe disease in two independent, longitudinal cohorts of hospitalized patients. Cell-free DNA profiling was performed on 104 plasma samples from 33 COVID-19 patients and compared to samples from patients with other viral infections and healthy controls.

Findings

We found evidence of injury to the lung and liver and involvement of red blood cell progenitors associated with severe COVID-19. The concentration of cell-free DNA correlated with the World Health Organization (WHO) ordinal scale for disease progression and was significantly increased in patients requiring intubation.

Conclusions

This study points to the utility of cell-free DNA as an analyte to monitor and study COVID-19.

Funding

This work was supported by NIH grants 1DP2AI138242 (to I.D.V.), R01AI146165 (to I.D.V., M.P.C., F.M.M., and J.R.), 1R01AI151059 (to I.D.V.), K08-CA230156 (to W.G.), and R33-AI129455 to C.Y.C., a Synergy award from the Rainin Foundation (to I.D.V.), a SARS-CoV-2 seed grant at Cornell (to I.D.V.), a National Sciences and Engineering Research Council of Canada fellowship PGS-D3 (to A.P.C.), and a Burroughs-Wellcome CAMS Award (to W.G.). D.C.V. is supported by a Fonds de la Recherche en Sante du Quebec Clinical Research Scholar Junior 2 award. C.Y.C. is supported by the California Initiative to Advance Precision Medicine, and the Charles and Helen Schwab Foundation.

Free full text 


loading

Citations & impact 


Impact metrics

Jump to Citations

Citations of article over time

loading

Article citations

loading

Data 


loading

Similar Articles 


To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.


    Funding 


    Funders who supported this work.

    Burroughs Wellcome Fund

      Cornell University

        Fonds de Recherche du Québec - Santé

          Kenneth Rainin Foundation

            NCI NIH HHS (1)

            • Grant ID: K08 CA230156

            NHLBI NIH HHS (1)

            • Grant ID: R01 HL105704

            NIAID NIH HHS (4)

            • Grant ID: DP2 AI138242

            • Grant ID: R01 AI146165

            • Grant ID: R21 AI129455

            • Grant ID: R01 AI151059

            NIMH NIH HHS (1)

            • Grant ID: R01 MH117406

            National Institutes of Health

              Wellcome Trust

                • Get citation

                • Open PDF

                • Claim to ORCID