免疫模块指导炎性皮肤病的诊断和个性化治疗

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Teofila Seremet, Jeremy Di Domizio, Antoine Girardin, Ahmad Yatim, Raphael Jenelten, Francesco Messina, Fanny Saidoune, Christoph Schlapbach, Sofia Bogiatzi, Frederic Minisini, Natalie Garzorz-Stark, Matthieu Leuenberger, Héloise Wüthrich, Maxime Vernez, Daniel Hohl, Stefanie Eyerich, Kilian Eyerich, Emmanuella Guenova, Carle Paul, Raphael Gottardo, Curdin Conrad, Michel Gilliet
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引用次数: 0

摘要

先前的进展已经确定了与炎症性皮肤病相关的免疫途径,从而导致了靶向治疗的发展。然而,缺乏在个体患者水平上描述这些途径以进行个性化诊断和治疗指导的分子方法。在这里,我们对多种炎症性皮肤病的表达谱进行了交叉比较,以确定定义相关免疫途径的基因模块。七个模块被确定,代表关键的免疫途径:Th17, Th2, Th1, I型ifn,嗜中性粒细胞,巨噬细胞和嗜酸性粒细胞。这些模块允许开发具有高诊断效能的炎性皮肤病和临床病理不确定病例的分子图谱。将主要模块与治疗目标相结合,为治疗选择提供了合理的框架,提高了treatment-naïve患者和无应答者对靶向治疗的反应率。总体而言,我们的方法为炎症性皮肤病提供精准医学,利用转录模块支持诊断并指导个性化治疗选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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