Scientific Reports · 2022 · 37 citations · 56 references
Life SciencesImmunologyMolecular BiologyEpigeneticsEpigenomicsInnate ImmunityAutoimmune DiseasesDna Methylation ProfilingEpigenetic Biomarker AnalysisEpigenetic Biomarker DiscoveryEpigenetic BiomarkersEpigenomic ProfilingCpg Methylation SignaturesDna Methylation PatternsEpigenetic SignaturesGenome-wide Methylation AnalysisGenome-wide Methylation ProfilingInterferon Pathway GenesInterferon-induced GenesSite-specific Dna Methylation Markers
Although substantial progress has been made in managing COVID-19, it is still difficult to predict a patient's prognosis. We explored the epigenetic signatures of COVID-19 in peripheral blood using data from an ongoing prospective observational study of COVID-19 called the Norwegian Corona Cohort Study. A series of EWASs were performed to compare the DNA methylation profiles between COVID-19 cases and controls three months post-infection. We also investigated differences associated with severity and long-COVID. Three CpGs-cg22399236, cg03607951, and cg09829636-were significantly hypomethylated (FDR < 0.05) in COVID-19 positive individuals. cg03607951 is located in IFI44L which is involved in innate response to viral infection and several systemic autoimmune diseases. cg09829636 is located in ANKRD9, a gene implicated in a wide variety of cellular processes, including the degradation of IMPDH2. The link between ANKRD9 and IMPDH2 is striking given that IMPDHs are considered therapeutic targets for COVID-19. Furthermore, gene ontology analyses revealed pathways involved in response to viruses. The lack of significant differences associated with severity and long-COVID may be real or reflect limitations in sample size. Our findings support the involvement of interferon responsive genes in the pathophysiology of COVID-19 and indicate a possible link to systemic autoimmune diseases.
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DNA methylation age of human tissues and cell types
Steve Horvath · Genome biology · 2013 · 7.3K citations · Full text
Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates
Gregory Hannum, Justin Guinney, Ling Zhao et al. · Molecular Cell · 2012 · 4.5K citations · Full text