Evidence map›Paper›PMID 42288901›Full record

ArticleClinical epigenetics2026

DNAm landscape up to 4 months post SARS-CoV-2 infection: insights from four population-based cohorts.

Pamela R Matías-García, Liye Lai, Thomas Delerue, Jochen Ohnmacht, Klaus J Stark, Robert Warmerdam, Alexey Kolodkin, Julia Six-Merker, Nina Mangold, Kathrin Günther and 18 more

Abstract read
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.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

28 authors.

Pamela R Matías-GarcíaResearch Unit Molecular Epidemiology, Helmholtz Munich, Neuherberg, Germany. pamela.matiasgarcia@helmholtz-munich.de.
Liye LaiResearch Unit Molecular Epidemiology, Helmholtz Munich, Neuherberg, Germany.
Thomas DelerueResearch Unit Molecular Epidemiology, Helmholtz Munich, Neuherberg, Germany.
Jochen OhnmachtLuxembourg Institute of Health, Strassen, Luxembourg.
Klaus J StarkDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Robert WarmerdamDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Alexey KolodkinLuxembourg Institute of Health, Strassen, Luxembourg.
Julia Six-MerkerInstitute of Epidemiology, Helmholtz Munich, Neuherberg, Germany.
Nina MangoldInstitute of Epidemiology, Helmholtz Munich, Neuherberg, Germany.
Kathrin GüntherLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Marc P O'SullivanLuxembourg Institute of Health, Strassen, Luxembourg.
Armin RauschenbergerLuxembourg Institute of Health, Strassen, Luxembourg.
Barbara BohnNAKO e.V., Heidelberg, Germany.
Klaus BergerInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Julia FrickeInstitute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Peter AhnertInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
Lude FrankeDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Rejko KrügerLuxembourg Institute of Health, Strassen, Luxembourg.
Olaf GefellerDepartment of Medical Informatics, Biometry and Epidemiology, Friedrich- Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Klaus ÜberlaInstitute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Iris M HeidDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Ralf WagnerInstitute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Regensburg, Germany.
Lifelines Corona Research Initiative
TiKoCo Working Group, CON-VINCE Consortium
NAKO Investigators
ORCHESTRA working group
Melanie WaldenbergerResearch Unit Molecular Epidemiology, Helmholtz Munich, Neuherberg, Germany. melanie.waldenberger@helmholtz-munich.de.
Annette PetersInstitute of Epidemiology, Helmholtz Munich, Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence for persistent epigenetic changes in individuals who had a mild SARS-CoV-2 infection is limited, as most DNA methylation (DNAm) studies to date have focused on either the acute phase of infection or on the months following infection in severe cases requiring hospitalization. METHODS AND

resultsUsing the Infinium Human MethylationEPIC BeadChip, we investigated blood DNA methylation (DNAm) up to four months after SARS-CoV-2 infection in cases and controls from four population-based cohorts (NAKO, Lifelines, CON-VINCE, and TiKoCo; n = 675) within the framework of the ORCHESTRA Consortium. We observed DNAm changes at 16 differentially methylated positions (DMPs) and 21 differentially methylated regions (DMRs), with 89% of these DMPs/DMRs hypomethylated in cases compared to age- and sex-matched controls. Genes mapped to these CpGs were annotated with Gene Ontology terms and pathways related to immune responses to viral infection. eQTM analyses in whole blood from an independent cohort (KORA FF4 study) produced 49 significant CpG-transcript pairs, including IFI44L and GNA12. Despite inter-individual variability and cohort heterogeneity, our findings regarding four DMPs (IFI44L, MX1, DDX60, and RABGAP1L) and two DMRs (PARP9 and GNA12) replicate changes described both in the acute phase of infection and at long-term follow-up. Differential methylation at other novel loci may reflect the systemic nature of post-infection epigenetic changes.

conclusionOur findings suggest moderate but persistent epigenetic changes up to four months after SARS-CoV-2 infection in mild cases from population-based cohorts. These changes partially mirror those reported during the acute phase of both mild and severe COVID-19 and overlap with pathways dysregulated in autoimmune, metabolic and neurological disease. Future research should examine epigenetic changes associated with persisting symptoms in long COVID, investigate downstream effects of DNAm changes on other -omics, and consider longer follow-up periods to further elucidate the molecular mechanisms underlying SARS-CoV-2 induced epigenetic changes.

Indexed as

COVID-19DNA MethylationAdultAgedCase-Control StudiesCohort StudiesCpG IslandsEpigenesis, GeneticFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeSARS-CoV-2COVID-19DNA methylationEpigenetic changesEWASORCHESTRA cohortPopulation-basedSARS-CoV-2

Identifiers

PMID42288901
PMCPMC13263947

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