Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Host methylation predicts SARS-CoV-2 infection and clinical outcome

26 Oct 2021

Abstract excerpt

BACKGROUND: suggests that DNA methylation signatures may differentiate patients with SARS-CoV-2 infection from uninfected individuals, and help predict COVID-19 disease severity, even at initial presentation. METHODS: We customized Illumina's Infinium MethylationEPIC array to enhance immune response detection and profiled peripheral blood samples from 164 COVID-19 patients with longitudinal measurements of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to COVID-19 Clinical Research Studies
Share to Epigenetics and DNA Methylation
Share to Immune responses and vaccinations

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35072167
DOI: 10.1038/s43856-021-00042-y

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Host methylation predicts SARS-CoV-2 infection and clinical outcomePMID 35072167Read ↗

Host methylation predicts SARS-CoV-2 infection and clinical outcomeSemantic proximity Read ↗

Epigenetic activation of antiviral sensors and effectors of interferon response pathways during SARS-CoV-2 infectionSemantic proximity Read ↗

Epigenetic Activation of Antiviral Sensors and Effectors of Interferon Response Pathways During SARS-CoV-2 InfectionSemantic proximity Read ↗

Epigenome-wide DNA methylation profiling of healthy COVID-19 recoverees reveals a unique signature in circulating immune cellsSemantic proximity Read ↗

Genome-wide DNA methylation profiling of peripheral blood reveals an epigenetic signature associated with severe COVID-19Semantic proximity Read ↗

Whole-Blood DNA Methylation Analysis Reveals Respiratory Environmental Traits Involved in COVID-19 Severity Following SARS-CoV-2 InfectionSemantic proximity Read ↗

Altered DNA methylation pattern contributes to differential epigenetic immune signaling in the upper respiratory airway of COVID-19 patientsSemantic proximity Read ↗

Transcriptome and DNA methylome analysis of peripheral blood samples reveals incomplete restoration and transposable element activation after 3-month recovery of COVID-19Semantic proximity Read ↗

A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severitySemantic proximity Read ↗

Identification of reactive CpGs and RNA expression in early COVID-19 through <i>cis</i> -eQTM analysis reflecting disease severity and recoverySemantic proximity Read ↗

Methylation patterns of the nasal epigenome of hospitalized SARS-CoV-2 positive patients reveal insights into molecular mechanisms of COVID-19Semantic proximity Read ↗

Multi-Omics Integration Reveals Only Minor Long-Term Molecular and Functional Sequelae in Immune Cells of Individuals Recovered From COVID-19Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.