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转化性皮肤病倡议:旨在对炎症性皮肤病进行新的疾病分类。

The Translational Dermatology Initiative: Aiming at a New Disease Classification of Inflammatory Skin Diseases.

作者信息

Jonsson Pontus, Pilz Anna Caroline, Maboudi Heydar, Ranzinger David, Wagner Paul, Schaffert-Stone Larissa-Nele, Burg Caecilia, Dadras Mahsa Shahidi, Bradley Maria, Schauer Franziska, Schempp Christoph Mathis, Garzorz-Stark Natalie, Eyerich Stefanie, Eyerich Kilian

机构信息

Unit of Dermatology, Department of Dermatology and Venereology, Karolinska University Hospital, Stockholm, Sweden.

Division of Dermatology and Venereology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.

出版信息

JID Innov. 2025 May 13;5(5):100381. doi: 10.1016/j.xjidi.2025.100381. eCollection 2025 Sep.

DOI:10.1016/j.xjidi.2025.100381
PMID:40535547
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12173067/
Abstract

Although precision medicine is at least partially realized in dermato-oncology, the field of dermatoimmunology comprising inflammatory skin diseases is only at the step from traditional toward stratified medicine. This lack of innovation leaves clinically relevant questions unanswered, including predicting the personal likelihood of therapeutic success as well as the risk of drug-related adverse events or the development of comorbidities. The translational dermatology initiative hypothesizes that these shortcomings are due to the subjective nature of the current disease ontology, which does not address the heterogeneity and dynamics of diseases. By integrating deep clinical phenotyping and repetitive multiomics analyses of tissue and circulation of patients covering the whole spectrum of chronic skin inflammation independent of the traditional disease nomenclature, the translational dermatology initiative creates a high-quality dataset optimized for machine learning. The aim of the translational dermatology initiative is to reclassify inflammatory skin diseases on the basis of objective molecular events that enable prediction of clinically meaningful outcome variables. The translational dermatology initiative is currently recruiting at 2 centers (Freiburg and Stockholm), with the aim to expand this into a global initiative.

摘要

尽管精准医学在皮肤肿瘤学中至少部分得以实现,但涵盖炎症性皮肤病的皮肤免疫学领域仅处于从传统医学向分层医学迈进的阶段。这种创新的缺乏使得一些临床相关问题悬而未决,包括预测治疗成功的个人可能性以及药物相关不良事件或合并症发生的风险。转化皮肤病学倡议推测,这些不足是由于当前疾病本体的主观性所致,它没有考虑到疾病的异质性和动态性。通过整合深入的临床表型分析以及对涵盖慢性皮肤炎症全谱的患者组织和循环进行重复性多组学分析(独立于传统疾病命名法),转化皮肤病学倡议创建了一个针对机器学习进行优化的高质量数据集。转化皮肤病学倡议的目标是基于能够预测具有临床意义的结果变量的客观分子事件对炎症性皮肤病进行重新分类。转化皮肤病学倡议目前正在两个中心(弗莱堡和斯德哥尔摩)招募参与者,并旨在将其扩展为一项全球性倡议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/12173067/68f0fe822108/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/12173067/68f0fe822108/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d008/12173067/68f0fe822108/gr1.jpg

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Immune modules to guide diagnosis and personalized treatment of inflammatory skin diseases.指导炎症性皮肤病诊断和个性化治疗的免疫模块。
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16 周与 8 周 Guselkumab 剂量用于维持银屑病超级应答者缓解的非劣效性:GUIDE 随机临床试验。
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Stratum corneum and microbial biomarkers precede and characterize childhood atopic dermatitis.角质层和微生物生物标志物先于并表征儿童特应性皮炎。
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