免疫系统
个性化医疗
精密医学
医学
计算生物学
生物信息学
免疫学
生物
病理
作者
Teofila Seremet,Jérémy Di Domizio,Antoine Girardin,Ahmad Yatim,Raphael Jenelten,Francesco Messina,Fanny Saidoune,Christoph Schlapbach,Sofia Bogiatzi,Frédéric Minisini,Natalie Garzorz‐Stark,Mathieu Leuenberger,Héloïse Wüthrich,Maxime Vernez,Daniel Hohl,Stefanie Eyerich,Kilian Eyerich,Emmanuella Guenova,C. Paul,Raphaël Gottardo,Curdin Conrad,Michel Gilliet
标识
DOI:10.1038/s41467-024-54559-6
摘要
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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