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Evidence for the utility of cfDNA plasma concentrations to predict disease severity in COVID-19: a retrospective pilot study

BACKGROUND: COVID-19 is a worldwide pandemic caused by the highly infective SARS-CoV-2. There is a need for biomarkers not only for overall prognosis but also for predicting the response to treatments and thus for improvements in the clinical management of patients with COVID-19. Circulating cell-fr...

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Autores principales: Hoeter, Katharina, Neuberger, Elmo, Fischer, Susanne, Herbst, Manuel, Juškevičiūtė, Ema, Enders, Kira, Rossmann, Heidi, Sprinzl, Martin F., Simon, Perikles, Bodenstein, Marc, Schaefer, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512938/
https://www.ncbi.nlm.nih.gov/pubmed/37744227
http://dx.doi.org/10.7717/peerj.16072
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author Hoeter, Katharina
Neuberger, Elmo
Fischer, Susanne
Herbst, Manuel
Juškevičiūtė, Ema
Enders, Kira
Rossmann, Heidi
Sprinzl, Martin F.
Simon, Perikles
Bodenstein, Marc
Schaefer, Michael
author_facet Hoeter, Katharina
Neuberger, Elmo
Fischer, Susanne
Herbst, Manuel
Juškevičiūtė, Ema
Enders, Kira
Rossmann, Heidi
Sprinzl, Martin F.
Simon, Perikles
Bodenstein, Marc
Schaefer, Michael
author_sort Hoeter, Katharina
collection PubMed
description BACKGROUND: COVID-19 is a worldwide pandemic caused by the highly infective SARS-CoV-2. There is a need for biomarkers not only for overall prognosis but also for predicting the response to treatments and thus for improvements in the clinical management of patients with COVID-19. Circulating cell-free DNA (cfDNA) has emerged as a promising biomarker in the assessment of various pathological conditions. The aim of this retrospective and observational pilot study was to investigate the range of cfDNA plasma concentrations in hospitalized COVID-19 patients during the first wave of SARS-CoV-2 infection, to relate them to established inflammatory parameters as a correlative biomarker for disease severity, and to compare them with plasma levels in a healthy control group. METHODS: Lithium-Heparin plasma samples were obtained from COVID-19 patients (n = 21) during hospitalization in the University Medical Centre of Mainz, Germany between March and June 2020, and the cfDNA concentrations were determined by quantitative PCR yielding amplicons of long interspersed nuclear elements (LINE-1). The cfDNA levels were compared with those of an uninfected control group (n = 19). RESULTS: Plasma cfDNA levels in COVID-19 patients ranged from 247.5 to 6,346.25 ng/ml and the mean concentration was 1,831 ± 1,388 ng/ml (± standard deviation), which was significantly different from the levels of the uninfected control group (p < 0.001). Regarding clinical complications, the highest correlation was found between cfDNA levels and the myositis (p = 0.049). In addition, cfDNA levels correlated with the “WHO clinical progression scale”. D-Dimer and C-reactive protein (CRP) were the clinical laboratory parameters with the highest correlations with cfDNA levels. CONCLUSION: The results of this observational pilot study show a wide range in cfDNA plasma concentrations in patients with COVID-19 during the first wave of infection and confirm that cfDNA plasma concentrations serve as a predictive biomarker of disease severity in COVID-19.
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spelling pubmed-105129382023-09-22 Evidence for the utility of cfDNA plasma concentrations to predict disease severity in COVID-19: a retrospective pilot study Hoeter, Katharina Neuberger, Elmo Fischer, Susanne Herbst, Manuel Juškevičiūtė, Ema Enders, Kira Rossmann, Heidi Sprinzl, Martin F. Simon, Perikles Bodenstein, Marc Schaefer, Michael PeerJ Infectious Diseases BACKGROUND: COVID-19 is a worldwide pandemic caused by the highly infective SARS-CoV-2. There is a need for biomarkers not only for overall prognosis but also for predicting the response to treatments and thus for improvements in the clinical management of patients with COVID-19. Circulating cell-free DNA (cfDNA) has emerged as a promising biomarker in the assessment of various pathological conditions. The aim of this retrospective and observational pilot study was to investigate the range of cfDNA plasma concentrations in hospitalized COVID-19 patients during the first wave of SARS-CoV-2 infection, to relate them to established inflammatory parameters as a correlative biomarker for disease severity, and to compare them with plasma levels in a healthy control group. METHODS: Lithium-Heparin plasma samples were obtained from COVID-19 patients (n = 21) during hospitalization in the University Medical Centre of Mainz, Germany between March and June 2020, and the cfDNA concentrations were determined by quantitative PCR yielding amplicons of long interspersed nuclear elements (LINE-1). The cfDNA levels were compared with those of an uninfected control group (n = 19). RESULTS: Plasma cfDNA levels in COVID-19 patients ranged from 247.5 to 6,346.25 ng/ml and the mean concentration was 1,831 ± 1,388 ng/ml (± standard deviation), which was significantly different from the levels of the uninfected control group (p < 0.001). Regarding clinical complications, the highest correlation was found between cfDNA levels and the myositis (p = 0.049). In addition, cfDNA levels correlated with the “WHO clinical progression scale”. D-Dimer and C-reactive protein (CRP) were the clinical laboratory parameters with the highest correlations with cfDNA levels. CONCLUSION: The results of this observational pilot study show a wide range in cfDNA plasma concentrations in patients with COVID-19 during the first wave of infection and confirm that cfDNA plasma concentrations serve as a predictive biomarker of disease severity in COVID-19. PeerJ Inc. 2023-09-18 /pmc/articles/PMC10512938/ /pubmed/37744227 http://dx.doi.org/10.7717/peerj.16072 Text en © 2023 Hoeter et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Infectious Diseases
Hoeter, Katharina
Neuberger, Elmo
Fischer, Susanne
Herbst, Manuel
Juškevičiūtė, Ema
Enders, Kira
Rossmann, Heidi
Sprinzl, Martin F.
Simon, Perikles
Bodenstein, Marc
Schaefer, Michael
Evidence for the utility of cfDNA plasma concentrations to predict disease severity in COVID-19: a retrospective pilot study
title Evidence for the utility of cfDNA plasma concentrations to predict disease severity in COVID-19: a retrospective pilot study
title_full Evidence for the utility of cfDNA plasma concentrations to predict disease severity in COVID-19: a retrospective pilot study
title_fullStr Evidence for the utility of cfDNA plasma concentrations to predict disease severity in COVID-19: a retrospective pilot study
title_full_unstemmed Evidence for the utility of cfDNA plasma concentrations to predict disease severity in COVID-19: a retrospective pilot study
title_short Evidence for the utility of cfDNA plasma concentrations to predict disease severity in COVID-19: a retrospective pilot study
title_sort evidence for the utility of cfdna plasma concentrations to predict disease severity in covid-19: a retrospective pilot study
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512938/
https://www.ncbi.nlm.nih.gov/pubmed/37744227
http://dx.doi.org/10.7717/peerj.16072
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