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AbstractPrevious 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.
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的分子方法,以进行个性化诊断和治疗指导。
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.
在这里,我们对来自多种炎症性皮肤病的表达谱进行交叉比较,以鉴定定义相关免疫途径的基因模块。确定了七个模块,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。这些模块允许开发对炎症性皮肤病和临床病理学未确定病例具有高诊断功效的分子图谱。
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..
将主要模块与治疗目标相结合,为治疗选择提供了一个合理的框架,提高了未接受治疗的患者和无反应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了精准医学,利用转录模块支持诊断并指导个性化治疗选择。。
IntroductionOver the last decade, dermatology has undergone a remarkable translational revolution marked by the emergence of numerous molecular-based therapies for inflammatory skin conditions. This transformative progress owes its success to a profound comprehension of immune pathways, encompassing both adaptive pathways linked to T helper (Th) cell differentiation Th1, Th21, Th172, T regulatory cells3 and innate pathways associated with the generation of type I IFNs4 and IL-1 cytokines5.
引言在过去的十年中,皮肤病学经历了一场显着的转化革命,其标志是出现了许多基于分子的炎症性皮肤病治疗方法。这种变革性进展的成功归功于对免疫途径的深刻理解,包括与T辅助(Th)细胞分化Th1,Th21,Th172,T调节细胞3相关的适应性途径以及与I型IFNs4和IL-1细胞因子产生相关的先天途径5。
These pathways are now established as integral to the pathogenesis of common inflammatory skin disorders, such as psoriasis, characterized by Th17 involvement6,7,8, atopic dermatitis (AD), characterized by Th2 involvement9,10,11, lichen planus (LP), characterized by Th1 involvement12, lupus erythematosus (LE), a type I IFN-related disorder13,14, and neutrophilic diseases, influenced by cytokines of the IL-1 family15.
这些途径现在被确定为常见炎症性皮肤病发病机制的组成部分,例如牛皮癣,其特征在于Th17参与6,7,8,特应性皮炎(AD),其特征在于Th2参与9,10,11,扁平苔藓(LP),其特征在于Th1参与12,红斑狼疮(LE),I型IFN相关疾病13,14和中性粒细胞疾病,受IL-1家族细胞因子的影响15。
Molecular-based therapies have emerged as effective means to target these pathways, including anti-IL23 and IL-17A/F monoclonal antibodies for Th17 inhibition in psoriasis16,17,18,19,20,21, anti-IL-4RA and anti-IL-13 monoclonal antibodies for Th2 blockade in AD22,23,24, JAK1/2 inhibitors for Th1 inhibition in LP12,25,26, anti-IFN-αβ receptor (IFNAR) monoclonal antibodies for type I IFN signalling blockage in LE27, and anti-IL-1R and anti-IL-36R to mitigate neutrophilic inflammation in neutrophilic diseases28,29,30,31,32,33.
基于分子的疗法已成为靶向这些途径的有效手段,包括用于银屑病Th17抑制的抗IL23和IL-17A/F单克隆抗体16,17,18,19,20,21,用于AD22,23,24中Th2阻断的抗IL-4RA和抗IL-13单克隆抗体,用于LP12,25,26中Th1抑制的JAK1/2抑制剂,用于LE27中I型IFN信号传导阻断的抗IFN-αβ受体(IFNAR)单克隆抗体,以及用于减轻中性粒细胞疾病中性粒细胞炎症的抗IL-1R和抗IL-36R 28,29,30,31,32,33。
Despite the substantial therapeutic efficacy of these molecular treatments, clinicians often encounter patients who do not respond, prompting questions about the accuracy of diagnosis, appropriateness of the chosen therapeutic target, or the possibility of an immune shift under immune pathway blockade.Presently, a notable gap exists in molecular approa.
尽管这些分子治疗具有显着的治疗效果,但临床医生经常遇到没有反应的患者,这引发了关于诊断准确性,所选治疗靶标的适当性或免疫途径阻断下免疫转移的可能性的问题。目前,分子方法存在显着差距。
Data availability
数据可用性
Nanostring transcriptomics datasets generated for this publication and re-analyzed from Di Domizio J. et al.36 are deposited at GEO data repository under the accession number GSE280220 and GSE193068 respectively. All other data are available in the article and its Supplementary files or from the corresponding author upon request. Source data are provided with this paper..
为本出版物生成并由Di Domizio J.等人重新分析的Nanostring转录组学数据集分别以登录号GSE280220和GSE193068保存在GEO数据库中。所有其他数据均可在文章及其补充文件中获得,或应要求从通讯作者处获得。本文提供了源数据。。
Code availability
代码可用性
The codes needed to reproduce analysis and findings of this study are available in the GitHub repository https://github.com/derchuv/persomed.
重现这项研究的分析和发现所需的代码可以在GitHub存储库中找到https://github.com/derchuv/persomed.
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Download referencesAcknowledgementsWe thank I. Surbeck, A. Darbellay, and A. Joncic for technical assistance. This work was funded by the Swiss National Science Foundation (310030B_182834, 310030_204835, 4078P0_198470) and the Leenaards Foundation to MG.Author informationAuthor notesThese authors contributed equally: Teofila Seremet, Jeremy Di Domizio, Antoine Girardin.Authors and AffiliationsDepartment of Dermatology, Lausanne University Hospital CHUV and University of Lausanne, 1011, Lausanne, SwitzerlandTeofila Seremet, Jeremy Di Domizio, Antoine Girardin, Ahmad Yatim, Raphael Jenelten, Francesco Messina, Fanny Saidoune, Sofia Bogiatzi, Frederic Minisini, Matthieu Leuenberger, Héloise Wüthrich, Maxime Vernez, Daniel Hohl, Emmanuella Guenova, Curdin Conrad & Michel GillietDepartment of Dermatology, Inselspital, Bern University Hospital, University of Bern, Bern, SwitzerlandChristoph SchlapbachDepartment of Dermatology and Venereology, Medical Center, University of Freiburg, Freiburg, GermanyNatalie Garzorz-Stark, Stefanie Eyerich & Kilian EyerichDepartment of Dermatology and Venereology, CHU Toulouse, Toulouse, FranceCarle PaulBiomedical Data Science Center, CHUV, UNIL, and SIB, Lausanne, SwitzerlandRaphael GottardoAuthorsTeofila SeremetView author publicationsYou can also search for this author in.
下载参考文献致谢我们感谢I.Surbeck,A.Darbellay和A.Joncic提供的技术援助。这项工作由瑞士国家科学基金会(310030B\U 182834、310030\U 204835、4078P0\U 198470)和利纳德基金会资助MG。作者信息作者注意到这些作者做出了同样的贡献:Teofila Seremet,Jeremy Di Domizio,Antoine Girardin。作者和所属机构洛桑大学医院皮肤科CHUV和洛桑大学,1011,洛桑,瑞士特奥菲拉·塞雷梅特,杰里米·迪多米齐奥,安托万·吉拉丁,艾哈迈德·亚蒂姆,拉斐尔·杰内尔顿,弗朗西斯科·梅西纳,范尼·赛杜恩,索非亚·博吉亚茨,弗雷德里克·米西尼,马蒂厄·卢恩贝格,Héloise Wüthrich,马克西姆·韦尔内兹,丹尼尔·霍尔,艾曼纽拉·圭诺娃,柯丁·康拉德和米歇尔·吉利特皮肤科,伯尔尼大学附属医院伯尔尼,伯尔尼,瑞士克里斯托普·施拉巴赫弗赖堡大学医学中心皮肤病学和性病学系,德国弗赖堡大学纳塔利·加佐尔兹·斯塔克,斯蒂芬妮·埃里奇和基利安·埃里奇皮肤病学和性病学系,图卢兹,图卢兹,弗朗西卡利·保罗生物医学数据科学中心,联合利华州丘夫,瑞士洛桑市SIB,瑞士德拉斐尔·戈塔尔多奥菲拉·塞雷梅特维作者出版物您也可以在中搜索这位作者。
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PubMed Google ScholarContributionsT.S., J.D.D., and A.G. produced the data. T.S. coordinated patient recruitment and sampling. J.D.D. and A.G. generated nanostring transcriptomics data and associated bioinformatics analysis. A.Y., R.J., F.Me., F.S., C.S., S.B., F.Mi., M.L., H.W., C.P., and C.C.
PubMed谷歌学术贡献者。S、 ,J.D.D.和A.G.产生了数据。T、 。J、 D.D.和A.G.生成了nanostring转录组学数据和相关的生物信息学分析。A、 Y.,R.J.,F.Me.,F.S.,C.S.,S.B.,F.Mi.,M.L.,H.W.,C.P.,和C.C。
selected patients, performed skin biopsies, and analyses. N.G.S, S.E., and K.E. provided RNA sequencing data. M.V., D.H., and E.G. performed histopathological analyses. R.G. supervised the statistics and bioinformatics analyses. M.G. conceived and supervised the work, and wrote the manuscript along with T.S., J.D.D., and A.G.
选择患者,进行皮肤活检和分析。N、 G.S,S.E。和K.E.提供了RNA测序数据。M、 V.,D.H。和E.G.进行了组织病理学分析。R、 G.监督统计和生物信息学分析。M、 G.构思并监督了这项工作,并与T.S.,J.D.D.和A.G.一起撰写了手稿。
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Reprints and permissionsAbout this articleCite this articleSeremet, T., Di Domizio, J., Girardin, A. et al. Immune modules to guide diagnosis and personalized treatment of inflammatory skin diseases.
转载和许可本文引用本文Seremet,T.,Di Domizio,J.,Girardin,A。等人的免疫模块来指导炎症性皮肤病的诊断和个性化治疗。
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