Evidence map›Paper›PMID 42021404›Full record

ArticleClinical epigenetics2026

DNA methylation profiles at hospital admission are associated with subsequent severe COVID-19 outcomes.

Fei-Man Hsu, Harry Pickering, Steve E Bosinger, Walter Eckalbar, Holden T Maecker, Seunghee Kim-Schulze, Al Ozonoff, Joann Diray-Arce, Joanna M Schaenman, Elaine F Reed and 1 more

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In one paragraph

Article in Clinical epigenetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Fei-Man HsuSmart Medicine and Health Informatics Program, International College, National Taiwan University, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-9901-7464
Harry PickeringDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Steve E BosingerEmory School of Medicine, Atlanta, GA, USA.
Walter EckalbarDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Holden T MaeckerStanford University School of Medicine, Palo Alto, CA, USA.
Seunghee Kim-SchulzeIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Al OzonoffClinical and Data Coordinating Center, Boston Children's Hospital, Boston, MA, USA.
Joann Diray-ArceClinical and Data Coordinating Center, Boston Children's Hospital, Boston, MA, USA.
Joanna M SchaenmanDivision of Infectious Diseases, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1174-3961
Elaine F Reed *Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. EReed@mednet.ucla.edu.ORCID http://orcid.org/0000-0002-3524-545X
Matteo Pellegrini *Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA. matteop@ucla.edu.ORCID http://orcid.org/0000-0001-9355-9564

Funding

Project 3: Mapping the Evolution of Chronic Transplant Injury in the Context of CMV InfectionU19AI128913 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, ELAINE F, SARWAL, MINNIE M · 2017 to 2021
$11.2M
NIH HHS U19AI128913
6 · The paper itself

Abstract

backgroundSARS-CoV-2 infection leads to a wide range of clinical manifestations ranging from asymptomatic to fatal cases. DNA methylation plays a crucial role in modulating host responses to viral infections; however, its potential for forecasting COVID-19 disease progression has not been fully explored.

resultsWe aimed to explore the connection between DNA methylation and COVID-19 phenotypic trajectories by examining a subset of the IMPACC cohort (n = 75), which includes longitudinal samples from hospitalized COVID-19 patients grouped into five disease trajectory groups (TGs) based on respiratory severity during the acute phase of infection. Our findings reveal that DNA methylation is associated with respiratory status, hospitalization duration, and immune cell composition, including T cell depletion and band neutrophil accumulation during acute infection. DNA methylation profiles at hospital admission differ among TGs and are associated with subsequent disease progression. Furthermore, DNA de-methylation of specific distal enhancers correlated with TG, and DNA methylation patterns generally normalize post-resolution. Comparative analyses revealed that DNA methylation changes are more strongly associated with TGs than transcriptome profiles across time.

conclusionsThis study highlights the association between DNA methylation and COVID-19 phenotypic trajectories and identifies CpG loci that could serve as potential biomarkers for identifying patients at heightened risk of severe COVID.

Indexed as

COVID-19DNA MethylationAgedBiomarkersCpG IslandsDisease ProgressionFemaleHospitalizationHumansLongitudinal StudiesMaleMiddle AgedPandemicsSARS-CoV-2Severity of Illness IndexBiomarkersBiomarkerCOVID-19DNA methylationEpigeneticsSARS-CoV-2

Identifiers

PMID42021404
PMCPMC13251264

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.