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Cell-Free DNA in Blood Reveals Significant Cell, Tissue and Organ Specific injury and Predicts COVID-19 Severity
Alexandre Pellan Cheng; Matthew Pellan Cheng; Wei Gu; Joan Sesing Lenz; Elaine Hsu; Erwin Schurr; Guillaume Bourque; Mathieu Bourgey; Jerome Ritz; Francisco M Marty; Charles Y Chiu; Donald Cuong Vinh; Iwijn De Vlaminck.
Afiliação
  • Alexandre Pellan Cheng; Cornell University
  • Matthew Pellan Cheng; McGill University
  • Wei Gu; University of California, San Francisco
  • Joan Sesing Lenz; Cornell University
  • Elaine Hsu; University of California, San Francisco
  • Erwin Schurr; McGill University
  • Guillaume Bourque; McGill University
  • Mathieu Bourgey; McGill University
  • Jerome Ritz; Dana-Farber Cancer Institute
  • Francisco M Marty; Dana-Farber Cancer Institute
  • Charles Y Chiu; University of California, San Francisco
  • Donald Cuong Vinh; McGill University
  • Iwijn De Vlaminck; Cornell University
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20163188
ABSTRACT
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, using 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. 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 cfDNA correlated with the WHO ordinal scale for disease progression and was significantly increased in patients requiring intubation. This study points to the utility of cell-free DNA as an analyte to monitor and study COVID-19.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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