Evidence map›Paper›PMID 42694164›Full record

ArticleFrontiers in immunology2026

Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19.

Jan Niklas Thon, Judith Schenz, Mascha Onida Fiedler, Uta Merle, Monica Boxberger, Florian Uhle, Markus Alexander Weigand, Dominik Schaack, Benedikt Hermann Siegler

Abstract read
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Article in Frontiers in immunology, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jan Niklas ThonMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Heidelberg, Baden-Württemberg, Germany.
Judith SchenzMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Heidelberg, Baden-Württemberg, Germany.
Mascha Onida FiedlerMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Heidelberg, Baden-Württemberg, Germany.
Uta MerleMedical Faculty Heidelberg, Department of Gastroenterology and Infectious Diseases, Heidelberg University, Heidelberg, Baden-Württemberg, Germany.
Monica BoxbergerMedical Faculty Heidelberg, Department of Gastroenterology and Infectious Diseases, Heidelberg University, Heidelberg, Baden-Württemberg, Germany.
Florian UhleMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Heidelberg, Baden-Württemberg, Germany.
Markus Alexander WeigandMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Heidelberg, Baden-Württemberg, Germany.
Dominik SchaackMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Heidelberg, Baden-Württemberg, Germany.
Benedikt Hermann SieglerMedical Faculty Heidelberg, Department of Anesthesiology, Heidelberg University, Heidelberg, Baden-Württemberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Severe COVID-19 is associated with innate immune dysregulation resembling sepsis-induced immunoparalysis. Epigenetic mechanisms, particularly changes in H3K4me3 enrichment at gene promoters, have been observed in immune tolerance and monocyte dysfunction in sepsis. Whether comparable H3K4me3 alterations occur during acute critical COVID-19 illness has not been investigated. Methods: In this prospective single-center study, 46 hospitalized COVID-19 patients were enrolled, of whom 27 were treated in the intensive care unit (ICU group) and 19 on the normal ward (non-ICU group). Genome-wide H3K4me3 ChIP-seq was performed on PBMCs at hospital admission (T1) in the total cohort and after seven days (T2) in the ICU group. Monocyte HLA-DR expression and Results: Among 706 differentially bound consensus peaks with promoter association between ICU and non-ICU groups, 704 showed increased H3K4me3 occupancy in ICU patients, predominantly at neutrophil effector gene loci, supported by pathway enrichment of neutrophil degranulation and innate immune activation. Monocyte HLA-DR expression and Conclusion: This study provides the first genome-wide H3K4me3 characterization of circulating immune cells during acute critical COVID-19, demonstrating that epigenetic reprogramming is an active and dynamic process that mirrors the functional immune dysregulation observed in these patients.

Indexed as

COVID-19Epigenesis, GeneticHistonesMonocytesSARS-CoV-2AgedCritical IllnessFemaleHLA-DR AntigensHumansImmunity, InnateIntensive Care UnitsMaleMiddle AgedNeutrophilsPromoter Regions, Genetichistone H3 trimethyl Lys4HistonesHLA-DR AntigensCOVID-19epigeneticsH3K4me3histone modificationsneutrophil hyperactivationSARS-CoV-2sepsis

Identifiers

PMID42694164
PMCPMC13538114

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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.