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Assessment of Spatial and Temporal Variation in the Skin Transcriptome of Atopic Dermatitis by Use of 1.5 mm Minipunch Biopsies.
Hu, Tu; Todberg, Tanja; Ewald, David Adrian; Hoof, Ilka; Correa da Rosa, Joel; Skov, Lone; Litman, Thomas.
Afiliación
  • Hu T; Explorative Biology and Bioinformatics, LEO Pharma, Ballerup, Denmark; Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.
  • Todberg T; Department of Dermatology and Allergy, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
  • Ewald DA; Explorative Biology and Bioinformatics, LEO Pharma, Ballerup, Denmark.
  • Hoof I; Explorative Biology and Bioinformatics, LEO Pharma, Ballerup, Denmark.
  • Correa da Rosa J; Laboratory of Inflammatory Skin Diseases, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Skov L; Department of Dermatology and Allergy, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
  • Litman T; Explorative Biology and Bioinformatics, LEO Pharma, Ballerup, Denmark; Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark. Electronic address: TYLDK@leo-pharma.com.
J Invest Dermatol ; 143(4): 612-620.e6, 2023 04.
Article en En | MEDLINE | ID: mdl-36496193
ABSTRACT
Atopic dermatitis (AD) is a common inflammatory skin disorder characterized by a heterogeneous and fluctuating disease course. To obtain a detailed molecular understanding of both the temporal and spatial variation in AD, we conducted a longitudinal case-control study, in which we followed a population, the GENAD (Gentofte AD) cohort, of mild-to-moderate patients with AD and matched healthy controls for more than a year. By the use of 1.5 mm minipunch biopsies, we obtained 393 samples from lesional, nonlesional, and healthy skin from multiple anatomical regions at different time points for transcriptomic profiling. We observed that the skin transcriptome was remarkably stable over time, with the largest variation being because of disease, individual, and skin site. Numerous AD-specific, differentially expressed genes were identified and indicated a disrupted skin barrier and activated immune response as the main features of AD. We also identified potentially novel targets in AD, including IL-37, MAML1, and several long noncoding RNAs. We envisage that the application of small biopsies, such as those introduced in this study, combined with omics technologies, will enable future skin research, in which multiple sampling from the same individual will give a more detailed, dynamic picture of how a disease fluctuates in time and space.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dermatitis Atópica Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: J Invest Dermatol Año: 2023 Tipo del documento: Article País de afiliación: Dinamarca

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dermatitis Atópica Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: J Invest Dermatol Año: 2023 Tipo del documento: Article País de afiliación: Dinamarca
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