TY - JOUR
T1 - Immune modules to guide diagnosis and personalized treatment of inflammatory skin diseases
AU - Seremet, Teofila
AU - Di Domizio, Jeremy
AU - Girardin, Antoine
AU - Yatim, Ahmad
AU - Jenelten, Raphael
AU - Messina, Francesco
AU - Saidoune, Fanny
AU - Schlapbach, Christoph
AU - Bogiatzi, Sofia
AU - Minisini, Frederic
AU - Garzorz-Stark, Natalie
AU - Leuenberger, Matthieu
AU - Wüthrich, Héloise
AU - Vernez, Maxime
AU - Hohl, Daniel
AU - Eyerich, Stefanie
AU - Eyerich, Kilian
AU - Guenova, Emmanuella
AU - Paul, Carle
AU - Gottardo, Raphael
AU - Conrad, Curdin
AU - Gilliet, Michel
N1 - © 2024. The Author(s).
PY - 2024/12/18
Y1 - 2024/12/18
N2 - 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.
AB - 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.
KW - Humans
KW - Precision Medicine/methods
KW - Skin Diseases/immunology
KW - Gene Expression Profiling/methods
KW - Gene Regulatory Networks
KW - Transcriptome
KW - Inflammation/genetics
KW - Skin/pathology
KW - Th2 Cells/immunology
UR - https://www.scopus.com/pages/publications/85212516988
U2 - 10.1038/s41467-024-54559-6
DO - 10.1038/s41467-024-54559-6
M3 - Article
C2 - 39695162
SN - 2041-1723
VL - 15
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 10688
ER -