Cited by 57Dermatology and Skin DiseasesPsoriasis: Treatment and PathogenesisSystemic Sclerosis and Related Diseases

Immune modules to guide diagnosis and personalized treatment of inflammatory skin diseases

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Seremet, Teofila, Di Domizio, Jeremy, Girardin, Antoine, Yatim, Ahmad, Jenelten, Raphael, Messina, Francesco, Saidoune, Fanny, Schlapbach, Christoph +14 more·2024·Nature Communications

Abstract

Previous advances have identified immune pathways associated with inflammatory skin diseases, leading to the development of targeted therapies. However, there is a lack of molecular approaches that delineate these pathways at the individual patient level for personalized diagnostic and therapeutic guidance. Here, we conduct a cross-comparison of expression profiles from multiple inflammatory skin diseases to identify gene modules defining relevant immune pathways. Seven modules are identified, representing key immune pathways: Th17, Th2, Th1, Type I IFNs, neutrophilic, macrophagic, and eosinophilic. These modules allow the development of a molecular map with high diagnostic efficacy for inflammatory skin diseases and clinico-pathologically undetermined cases. Aligning dominant modules with treatment targets offers a rational framework for treatment selection, improving response rates in both treatment-naïve patients and non-responders to targeted therapies. Overall, our approach offers precision medicine for inflammatory skin diseases, utilizing transcriptional modules to support diagnosis and guide personalized treatment selection.

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  • Transcriptomics classified CLE and identified genes related to type 1 IFN-mediated inflammation (TLR3, MYD88, IRF7), STAT2 and PRF1, or IFN stimulation (such as CXCL9, CCL8, ISG15).

    “One notable study utilized transcriptomics to classify CLE, identifying associated genes related to type 1 IFN—mediated inflammation (TLR3, MYD88, IRF7), STAT2 and PRF1, or IFN stimulation (such as CXCL9, CCL8, ISG15) (Seremet et al, 2024).”

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Authors
Seremet, T., Di Domizio, J., Girardin, A., Yatim, A., Jenelten, R., Messina, F., Saidoune, F., Schlapbach, C., Bogiatzi, S., Minisini, F., Garzorz-Stark, N., Leuenberger, M., Wüthrich, H., Vernez, M., Hohl, D., Eyerich, S., Eyerich, K., Guenova, E., Paul, C., Gottardo, R., Conrad, C., & Gilliet, M.
Affiliations
  • Centre Hospitalier Universitaire Vaudois (CH)
  • University of Bern (CH)
  • University of Freiburg (DE)
  • Centre Hospitalier Universitaire de Toulouse (FR)
Corresponding author
Gilliet, Michel
Venue
Nature Communications
Published
2024-12-18
Volume
15
Issue
1
Pages
10688-10688
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4405509551
Cited by
57
References
6
Citations by year
2026: 36 · 2025: 21
FWCI
23.29
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • SERVAL (Université de Lausanne) (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • FreiDok plus (Universitätsbibliothek Freiburg) (submittedVersion)
  • IRIS (submittedVersion, cc-by)
  • Open Access CRIS of the University of Bern
Funders
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (310030B_182834, 310030_204835, 4078P0_198470)
  • Fondation Leenaards
Topics
  • Health Sciences › Medicine › Dermatology › Dermatology and Skin Diseases
  • Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Systemic Sclerosis and Related Diseases
Keywords
inflammatory skin diseases, gene modules, immune pathways, Th17, type I interferon, neutrophilic dermatosis, eosinophilic dermatosis, precision medicine, personalized treatment, molecular diagnosis, gene expression profiles, treatment response prediction
MeSH terms
Humans, Inflammation, Skin, Skin Diseases, Th2 Cells, Gene Expression Profiling, Gene Regulatory Networks, Precision Medicine, Transcriptome

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