Evidence map›Paper›PMID 41703963›Full record

ArticleAllergy2026

Integrated Methylome-Transcriptome Analysis Reveals Epigenomic Remodeling and Rho GTPase-Linked Immune-Epithelial Crosstalk in Atopic Dermatitis.

Tiina Skoog, Ying Yang, Peter Olah, Shintaro Katayama, Piia Karisola, Catherine Smith, Stephan Weidinger, Jonathan Barker, Antti Lauerma, Björn Andersson and 5 more

Abstract read
In one paragraph

Article in Allergy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

15 authors.

Tiina SkoogDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Ying YangInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0009-0002-3839-6859
Peter OlahMedical Faculty, Department of Dermatology, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.ORCID https://orcid.org/0000-0002-3184-8376
Shintaro KatayamaDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Piia KarisolaMedical Faculty, Human Microbiome Research Program (HUMI), University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0003-0635-2704
Catherine SmithFaculty of Life Sciences and Medicine, St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK.
Stephan WeidingerDepartment of Dermatology and Allergy, University Medical Center Schleswig-Holstein, Kiel, Germany.ORCID https://orcid.org/0000-0003-3944-252X
Jonathan BarkerFaculty of Life Sciences and Medicine, St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK.
Antti LauermaDepartment of Dermatology, Allergology and Venereology, University of Helsinki and Helsinki University Hospital, Inflammation Centre, Helsinki, Finland.
Björn AnderssonDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Bernhard HomeyMedical Faculty, Department of Dermatology, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Nanna FyhrquistInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Juha KereDepartment of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.
Harri AleniusInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-0106-8923
MAARS Consortium

Funding

Innovative Medicines InitiativeSeventh Framework Programme
6 · The paper itself

Abstract

backgroundAtopic dermatitis (AD) is a chronic inflammatory skin disease characterized by immune dysregulation and epithelial barrier dysfunction. Although transcriptional changes in AD skin are increasingly well characterized, DNA methylation patterns remain less well understood.

methodsHere, we present an integrated analysis of matched DNA methylomes, transcriptomes, and microbiomes from lesional (n = 40), adjacent non-lesional (n = 38), and healthy control (n = 40) skin, using complementary cell-type-adjusted models.

resultsWe identified thousands of differentially methylated regions (DMRs) across all pairwise contrasts (lesional vs. healthy: n = 13,514; lesional vs. non-lesional: n = 4591; non-lesional vs. healthy: n = 1716), including both hyper- and hypo-methylated regions with balanced effect sizes. A core subset of DMRs persisted after methylation-based adjustment, whereas the extensive lesional vs. non-lesional set was largely composition-driven. Integration with transcriptomic co-expression networks linked DMRs to immune-epithelial modules, and 225 DMR-gene pairs showed significant anti-correlation (FDR < 0.05). Lesional skin with dominant Staphylococcus aureus colonization differed at 92 DMRs compared with absent-colonized skin, of which 70 also overlapped with local severity. Pathway analyses consistently highlighted Rho GTPase and actin-junctional programs across analytic layers, suggesting that Rho GTPase signaling is a central integrator of immune, epithelial, and microbial interactions in AD.

conclusionsOur study underscores the importance of epigenomic remodeling in AD and highlights potential avenues for precision intervention in chronic inflammatory skin disease.

Indexed as

Dermatitis, AtopicDNA MethylationEpigenesis, GeneticEpigenomeEpigenomicsGene Expression Profilingrho GTP-Binding ProteinsTranscriptomeFemaleHumansSkinSkin Microbiomerho GTP-Binding Proteinsatopic dermatitismethylomicsmicrobiome dysbiosistranscriptomics

Identifiers

PMID41703963
PMCPMC13342775

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.