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Blood DNA methylation and COVID-19 outcomes

BACKGROUND: There are no prior reports that compare differentially methylated regions of DNA in blood samples from COVID-19 patients to samples collected before the SARS-CoV-2 pandemic using a shared epigenotyping platform. We performed a genome-wide analysis of circulating blood DNA CpG methylation...

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Autores principales: Balnis, Joseph, Madrid, Andy, Hogan, Kirk J., Drake, Lisa A., Chieng, Hau C., Tiwari, Anupama, Vincent, Catherine E., Chopra, Amit, Vincent, Peter A., Robek, Michael D., Singer, Harold A., Alisch, Reid S., Jaitovich, Ariel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148415/
https://www.ncbi.nlm.nih.gov/pubmed/34034806
http://dx.doi.org/10.1186/s13148-021-01102-9
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author Balnis, Joseph
Madrid, Andy
Hogan, Kirk J.
Drake, Lisa A.
Chieng, Hau C.
Tiwari, Anupama
Vincent, Catherine E.
Chopra, Amit
Vincent, Peter A.
Robek, Michael D.
Singer, Harold A.
Alisch, Reid S.
Jaitovich, Ariel
author_facet Balnis, Joseph
Madrid, Andy
Hogan, Kirk J.
Drake, Lisa A.
Chieng, Hau C.
Tiwari, Anupama
Vincent, Catherine E.
Chopra, Amit
Vincent, Peter A.
Robek, Michael D.
Singer, Harold A.
Alisch, Reid S.
Jaitovich, Ariel
author_sort Balnis, Joseph
collection PubMed
description BACKGROUND: There are no prior reports that compare differentially methylated regions of DNA in blood samples from COVID-19 patients to samples collected before the SARS-CoV-2 pandemic using a shared epigenotyping platform. We performed a genome-wide analysis of circulating blood DNA CpG methylation using the Infinium Human MethylationEPIC BeadChip on 124 blood samples from hospitalized COVID-19-positive and COVID-19-negative patients and compared these data with previously reported data from 39 healthy individuals collected before the pandemic. Prospective outcome measures such as COVID-19-GRAM risk-score and mortality were combined with methylation data. RESULTS: Global mean methylation levels did not differ between COVID-19 patients and healthy pre-pandemic controls. About 75% of acute illness-associated differentially methylated regions were located near gene promoter regions and were hypo-methylated in comparison with healthy pre-pandemic controls. Gene ontology analyses revealed terms associated with the immune response to viral infections and leukocyte activation; and disease ontology analyses revealed a predominance of autoimmune disorders. Among COVID-19-positive patients, worse outcomes were associated with a prevailing hyper-methylated status. Recursive feature elimination identified 77 differentially methylated positions predictive of COVID-19 severity measured by the GRAM-risk score. CONCLUSION: Our data contribute to the awareness that DNA methylation may influence the expression of genes that regulate COVID-19 progression and represent a targetable process in that setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01102-9.
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spelling pubmed-81484152021-05-26 Blood DNA methylation and COVID-19 outcomes Balnis, Joseph Madrid, Andy Hogan, Kirk J. Drake, Lisa A. Chieng, Hau C. Tiwari, Anupama Vincent, Catherine E. Chopra, Amit Vincent, Peter A. Robek, Michael D. Singer, Harold A. Alisch, Reid S. Jaitovich, Ariel Clin Epigenetics Research BACKGROUND: There are no prior reports that compare differentially methylated regions of DNA in blood samples from COVID-19 patients to samples collected before the SARS-CoV-2 pandemic using a shared epigenotyping platform. We performed a genome-wide analysis of circulating blood DNA CpG methylation using the Infinium Human MethylationEPIC BeadChip on 124 blood samples from hospitalized COVID-19-positive and COVID-19-negative patients and compared these data with previously reported data from 39 healthy individuals collected before the pandemic. Prospective outcome measures such as COVID-19-GRAM risk-score and mortality were combined with methylation data. RESULTS: Global mean methylation levels did not differ between COVID-19 patients and healthy pre-pandemic controls. About 75% of acute illness-associated differentially methylated regions were located near gene promoter regions and were hypo-methylated in comparison with healthy pre-pandemic controls. Gene ontology analyses revealed terms associated with the immune response to viral infections and leukocyte activation; and disease ontology analyses revealed a predominance of autoimmune disorders. Among COVID-19-positive patients, worse outcomes were associated with a prevailing hyper-methylated status. Recursive feature elimination identified 77 differentially methylated positions predictive of COVID-19 severity measured by the GRAM-risk score. CONCLUSION: Our data contribute to the awareness that DNA methylation may influence the expression of genes that regulate COVID-19 progression and represent a targetable process in that setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01102-9. BioMed Central 2021-05-25 /pmc/articles/PMC8148415/ /pubmed/34034806 http://dx.doi.org/10.1186/s13148-021-01102-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Balnis, Joseph
Madrid, Andy
Hogan, Kirk J.
Drake, Lisa A.
Chieng, Hau C.
Tiwari, Anupama
Vincent, Catherine E.
Chopra, Amit
Vincent, Peter A.
Robek, Michael D.
Singer, Harold A.
Alisch, Reid S.
Jaitovich, Ariel
Blood DNA methylation and COVID-19 outcomes
title Blood DNA methylation and COVID-19 outcomes
title_full Blood DNA methylation and COVID-19 outcomes
title_fullStr Blood DNA methylation and COVID-19 outcomes
title_full_unstemmed Blood DNA methylation and COVID-19 outcomes
title_short Blood DNA methylation and COVID-19 outcomes
title_sort blood dna methylation and covid-19 outcomes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148415/
https://www.ncbi.nlm.nih.gov/pubmed/34034806
http://dx.doi.org/10.1186/s13148-021-01102-9
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