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

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

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch
• Anmerkungen: Nature communications. - 15, 1 (2024) , 10688, ISSN: 2041-1723

Beteiligte, Orts- und Zeitangaben

• Ereignis: Veröffentlichung
• (wo): Freiburg
• (wer): Universität
• (wann): 2025
• Urheber: Seremet, Teofila ; Di Domizio, Jeremy ; Girardin, Antoine ; Yatim, Ahmad ; Jenelten, Raphael ; Messina, Francesco ; Saidoune, Fanny ; Schlapbach, Christoph ; Bogiatzi, Sofia ; Minisini, Frederic ; Garzorz‐Stark, Natalie ; Leuenberger, Matthieu ; Wüthrich, Héloise ; Vernez, Maxime ; Hohl, Daniel ; Eyerich, Stefanie ; Eyerich, Kilian ; Guenova, Emmanuella ; Paul, Carle F. ; Gottardo, Raphael ; Conrad, Curdin Gian-Peider ; Gilliet, Michel François

Weitere Informationen

• DOI: 10.1038/s41467-024-54559-6
• URN: urn:nbn:de:bsz:25-freidok-2617719
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 15.08.2025, 07:37 MESZ