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 g...
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| Published in | Nature communications Vol. 15; no. 1; pp. 10688 - 12 |
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| Main Authors | , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
18.12.2024
Nature Publishing Group Nature Portfolio |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2041-1723 2041-1723 |
| DOI | 10.1038/s41467-024-54559-6 |
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| 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.
Immune gene expression analysis can help differentiate between inflammatory skin diseases. Here the authors compare expression profiles between different human inflammatory skin diseases and identify gene modules such as cytokines or inflammatory mediators and a molecular map to assist in diagnosis and treatment. |
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| AbstractList | 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.Immune gene expression analysis can help differentiate between inflammatory skin diseases. Here the authors compare expression profiles between different human inflammatory skin diseases and identify gene modules such as cytokines or inflammatory mediators and a molecular map to assist in diagnosis and treatment. 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. 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. 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. Immune gene expression analysis can help differentiate between inflammatory skin diseases. Here the authors compare expression profiles between different human inflammatory skin diseases and identify gene modules such as cytokines or inflammatory mediators and a molecular map to assist in diagnosis and treatment. 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.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. |
| ArticleNumber | 10688 |
| Author | Garzorz-Stark, Natalie Eyerich, Stefanie Minisini, Frederic Leuenberger, Matthieu Vernez, Maxime Jenelten, Raphael Paul, Carle Girardin, Antoine Yatim, Ahmad Messina, Francesco Wüthrich, Héloise Schlapbach, Christoph Guenova, Emmanuella Gottardo, Raphael Bogiatzi, Sofia Gilliet, Michel Saidoune, Fanny Seremet, Teofila Di Domizio, Jeremy Hohl, Daniel Conrad, Curdin Eyerich, Kilian |
| Author_xml | – sequence: 1 givenname: Teofila orcidid: 0000-0002-3789-6256 surname: Seremet fullname: Seremet, Teofila organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 2 givenname: Jeremy orcidid: 0000-0002-6281-3918 surname: Di Domizio fullname: Di Domizio, Jeremy organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 3 givenname: Antoine surname: Girardin fullname: Girardin, Antoine organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 4 givenname: Ahmad surname: Yatim fullname: Yatim, Ahmad organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 5 givenname: Raphael orcidid: 0000-0002-0122-8918 surname: Jenelten fullname: Jenelten, Raphael organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 6 givenname: Francesco surname: Messina fullname: Messina, Francesco organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 7 givenname: Fanny surname: Saidoune fullname: Saidoune, Fanny organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 8 givenname: Christoph orcidid: 0000-0003-0258-1243 surname: Schlapbach fullname: Schlapbach, Christoph organization: Department of Dermatology, Inselspital, Bern University Hospital, University of Bern – sequence: 9 givenname: Sofia orcidid: 0000-0003-4494-6124 surname: Bogiatzi fullname: Bogiatzi, Sofia organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 10 givenname: Frederic surname: Minisini fullname: Minisini, Frederic organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 11 givenname: Natalie surname: Garzorz-Stark fullname: Garzorz-Stark, Natalie organization: Department of Dermatology and Venereology, Medical Center, University of Freiburg – sequence: 12 givenname: Matthieu surname: Leuenberger fullname: Leuenberger, Matthieu organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 13 givenname: Héloise surname: Wüthrich fullname: Wüthrich, Héloise organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 14 givenname: Maxime surname: Vernez fullname: Vernez, Maxime organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 15 givenname: Daniel surname: Hohl fullname: Hohl, Daniel organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 16 givenname: Stefanie orcidid: 0000-0002-1166-2355 surname: Eyerich fullname: Eyerich, Stefanie organization: Department of Dermatology and Venereology, Medical Center, University of Freiburg – sequence: 17 givenname: Kilian orcidid: 0000-0003-0094-2674 surname: Eyerich fullname: Eyerich, Kilian organization: Department of Dermatology and Venereology, Medical Center, University of Freiburg – sequence: 18 givenname: Emmanuella orcidid: 0000-0001-5478-8735 surname: Guenova fullname: Guenova, Emmanuella organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 19 givenname: Carle surname: Paul fullname: Paul, Carle organization: Department of Dermatology and Venereology, CHU Toulouse – sequence: 20 givenname: Raphael orcidid: 0000-0002-3867-0232 surname: Gottardo fullname: Gottardo, Raphael organization: Biomedical Data Science Center, CHUV, UNIL, and SIB – sequence: 21 givenname: Curdin orcidid: 0000-0002-2547-3440 surname: Conrad fullname: Conrad, Curdin organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne – sequence: 22 givenname: Michel orcidid: 0000-0002-4609-3762 surname: Gilliet fullname: Gilliet, Michel email: michel.gilliet@chuv.ch organization: Department of Dermatology, Lausanne University Hospital CHUV and University of Lausanne |
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| Title | Immune modules to guide diagnosis and personalized treatment of inflammatory skin diseases |
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