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Role of epigenetics in the clinical evolution of COVID-19 disease. Epigenome-wide association study identifies markers of severe outcome

BACKGROUND: COVID-19 has a wide spectrum of clinical manifestations and given its impact on morbidity and mortality, there is an unmet medical need to discover endogenous cellular and molecular biomarkers that predict the expected clinical course of the disease. Recently, epigenetics and especially...

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Autores principales: Calzari, Luciano, Zanotti, Lucia, Inglese, Elvira, Scaglione, Francesco, Cavagnola, Rebecca, Ranucci, Francesco, Di Blasio, Anna Maria, Stefanini, Giulio, Carlo, Gaetano, Parati, Gianfranco, Gentilini, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936487/
https://www.ncbi.nlm.nih.gov/pubmed/36800980
http://dx.doi.org/10.1186/s40001-023-01032-7
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author Calzari, Luciano
Zanotti, Lucia
Inglese, Elvira
Scaglione, Francesco
Cavagnola, Rebecca
Ranucci, Francesco
Di Blasio, Anna Maria
Stefanini, Giulio
Carlo, Gaetano
Parati, Gianfranco
Gentilini, Davide
author_facet Calzari, Luciano
Zanotti, Lucia
Inglese, Elvira
Scaglione, Francesco
Cavagnola, Rebecca
Ranucci, Francesco
Di Blasio, Anna Maria
Stefanini, Giulio
Carlo, Gaetano
Parati, Gianfranco
Gentilini, Davide
author_sort Calzari, Luciano
collection PubMed
description BACKGROUND: COVID-19 has a wide spectrum of clinical manifestations and given its impact on morbidity and mortality, there is an unmet medical need to discover endogenous cellular and molecular biomarkers that predict the expected clinical course of the disease. Recently, epigenetics and especially DNA methylation have been pointed out as a promising tool for outcome prediction in several diseases. METHODS AND RESULTS: Using the Illumina Infinium Methylation EPIC BeadChip850K, we investigated genome-wide differences in DNA methylation in an Italian Cohort of patients with comorbidities and compared severe (n = 64) and mild (123) prognosis. Results showed that the epigenetic signature, already present at the time of Hospital admission, can significantly predict risk of severe outcomes. Further analyses provided evidence of an association between age acceleration and a severe prognosis after COVID-19 infection. The burden of Stochastic Epigenetic Mutation (SEMs) has been significantly increased in patients with poor prognosis. Results have been replicated in silico considering COVID-19 negative subjects and available previously published datasets. CONCLUSIONS: Using original methylation data and taking advantage of already published datasets, we confirmed in the blood that epigenetics is actively involved in immune response after COVID-19 infection, allowing the identification of a specific signature able to discriminate the disease evolution. Furthermore, the study showed that epigenetic drift and age acceleration are associated with severe prognosis. All these findings prove that host epigenetics undergoes notable and specific rearrangements to respond to COVID-19 infection which can be used for a personalized, timely, and targeted management of COVID-19 patients during the first stages of hospitalization. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01032-7.
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spelling pubmed-99364872023-02-17 Role of epigenetics in the clinical evolution of COVID-19 disease. Epigenome-wide association study identifies markers of severe outcome Calzari, Luciano Zanotti, Lucia Inglese, Elvira Scaglione, Francesco Cavagnola, Rebecca Ranucci, Francesco Di Blasio, Anna Maria Stefanini, Giulio Carlo, Gaetano Parati, Gianfranco Gentilini, Davide Eur J Med Res Research BACKGROUND: COVID-19 has a wide spectrum of clinical manifestations and given its impact on morbidity and mortality, there is an unmet medical need to discover endogenous cellular and molecular biomarkers that predict the expected clinical course of the disease. Recently, epigenetics and especially DNA methylation have been pointed out as a promising tool for outcome prediction in several diseases. METHODS AND RESULTS: Using the Illumina Infinium Methylation EPIC BeadChip850K, we investigated genome-wide differences in DNA methylation in an Italian Cohort of patients with comorbidities and compared severe (n = 64) and mild (123) prognosis. Results showed that the epigenetic signature, already present at the time of Hospital admission, can significantly predict risk of severe outcomes. Further analyses provided evidence of an association between age acceleration and a severe prognosis after COVID-19 infection. The burden of Stochastic Epigenetic Mutation (SEMs) has been significantly increased in patients with poor prognosis. Results have been replicated in silico considering COVID-19 negative subjects and available previously published datasets. CONCLUSIONS: Using original methylation data and taking advantage of already published datasets, we confirmed in the blood that epigenetics is actively involved in immune response after COVID-19 infection, allowing the identification of a specific signature able to discriminate the disease evolution. Furthermore, the study showed that epigenetic drift and age acceleration are associated with severe prognosis. All these findings prove that host epigenetics undergoes notable and specific rearrangements to respond to COVID-19 infection which can be used for a personalized, timely, and targeted management of COVID-19 patients during the first stages of hospitalization. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01032-7. BioMed Central 2023-02-17 /pmc/articles/PMC9936487/ /pubmed/36800980 http://dx.doi.org/10.1186/s40001-023-01032-7 Text en © The Author(s) 2023 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
Calzari, Luciano
Zanotti, Lucia
Inglese, Elvira
Scaglione, Francesco
Cavagnola, Rebecca
Ranucci, Francesco
Di Blasio, Anna Maria
Stefanini, Giulio
Carlo, Gaetano
Parati, Gianfranco
Gentilini, Davide
Role of epigenetics in the clinical evolution of COVID-19 disease. Epigenome-wide association study identifies markers of severe outcome
title Role of epigenetics in the clinical evolution of COVID-19 disease. Epigenome-wide association study identifies markers of severe outcome
title_full Role of epigenetics in the clinical evolution of COVID-19 disease. Epigenome-wide association study identifies markers of severe outcome
title_fullStr Role of epigenetics in the clinical evolution of COVID-19 disease. Epigenome-wide association study identifies markers of severe outcome
title_full_unstemmed Role of epigenetics in the clinical evolution of COVID-19 disease. Epigenome-wide association study identifies markers of severe outcome
title_short Role of epigenetics in the clinical evolution of COVID-19 disease. Epigenome-wide association study identifies markers of severe outcome
title_sort role of epigenetics in the clinical evolution of covid-19 disease. epigenome-wide association study identifies markers of severe outcome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936487/
https://www.ncbi.nlm.nih.gov/pubmed/36800980
http://dx.doi.org/10.1186/s40001-023-01032-7
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