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Longitudinal study of DNA methylation and epigenetic clocks prior to and following test-confirmed COVID-19 and mRNA vaccination
Alina PS Pang; Albert T Higgins-Chen; Florence Comite; Ioana Raica; Christopher Arboleda; Tavis Mendez; Michael Schotsaert; Varun Dwaraka; Ryan Smith; Morgan E Levine; Lishomwa C Ndhlovu; Michael J Corley.
Afiliação
  • Alina PS Pang; Weill Cornell Medicine
  • Albert T Higgins-Chen; Yale University School of Medicine, VA Connecticut Healthcare System
  • Florence Comite; Comite Center for Precision Medicine & Health, Lenox Hill Hospital/Northwell
  • Ioana Raica; Comite Center for Precision Medicine & Health
  • Christopher Arboleda; Comite Center for Precision Medicine & Health
  • Tavis Mendez; TruDiagnostic
  • Michael Schotsaert; Icahn School of Medicine at Mount Sinai, Global Health and Emerging Pathogens Institute
  • Varun Dwaraka; TruDiagnostic
  • Ryan Smith; TruDiagnostic
  • Morgan E Levine; Yale University School of Medicine
  • Lishomwa C Ndhlovu; Weill Cornell Medicine
  • Michael J Corley; Weill Cornell Medicine
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21266670
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ABSTRACT
The host epigenetic landscape is rapidly changed during SARS-CoV-2 infection and evidence suggests that severe COVID-19 is associated with durable scars to the epigenome. Specifically, aberrant DNA methylation changes in immune cells and alterations to epigenetic clocks in blood relate to severe COVID-19. However, a longitudinal assessment of DNA methylation states and epigenetic clocks in blood from healthy individuals prior to and following test-confirmed non-hospitalized COVID-19 has not been performed. Moreover, the impact of mRNA COVID-19 vaccines upon the host epigenome remains understudied. Here, we first examined DNA methylation states in blood of 21 participants prior to and following test confirmed COVID-19 diagnosis at a median timeframe of 8.35 weeks. 261 CpGs were identified as differentially methylated following COVID-19 diagnosis in blood at an FDR adjusted P value <0.05. These CpGs were enriched in gene body and northern and southern shelf regions of genes involved in metabolic pathways. Integrative analysis revealed overlap among genes identified in transcriptional SARS-CoV-2 infection datasets. Principal component-based epigenetic clock estimates of PhenoAge and GrimAge significantly increased in people over 50 following infection by an average of 2.1 and 0.84 years. In contrast, PCPhenoAge significantly decreased in people under 50 following infection by an average of 2.06 years. This observed divergence in epigenetic clocks following COVID-19 was related to age and immune cell-type compositional changes in CD4+ T cells, B cells, granulocytes, plasmablasts, exhausted T cells, and naive T cells. Complementary longitudinal epigenetic clock analyses of 36 participants prior to and following Pfizer and Moderna mRNA-based COVID-19 vaccination revealed vaccination significantly reduced principal component-based Horvath epigenetic clock estimates in people over 50 by an average of 3.91 years for those that received Moderna. This reduction in epigenetic clock estimates was significantly related to chronological age and immune cell-type compositional changes in B cells and plasmablasts pre- and post-vaccination. These findings suggest the potential utility of epigenetic clocks as a biomarker of COVID-19 vaccine responses. Future research will need to unravel the significance and durability of short-term changes in epigenetic age related to COVID-19 exposure and mRNA vaccination.
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Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Experimental_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Experimental_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint