An unbiased tissue transcriptome analysis identifies potential markers for skin phenotypes and therapeutic responses in atopic dermatitis

Abstract

Atopic dermatitis (AD) is a skin disease exhibiting clinical and molecular heterogeneity, thereby jeopardizing the development of personalized treatments. Here we pursue a cross-sectional and longitudinal cohort analysis of 951 whole-skin samples, employing an unsupervised decomposition analysis to link gene expression profiles to disease severity, six distinct skin phenotypes, and blood cytokines representative of given endotypes. Specifically, type 2 and type 17 responses are associated with major skin phenotypes such as erythema and induration, while type 1 response is upregulated in lichen amyloidosis of AD patients. Longitudinal analysis of patients treated with dupilumab finds sustained gene signatures related to type 17 response in lesional skin and upregulated transcription factors in non-lesional skin of patients with poor treatment outcomes. Lastly, several extracellular matrix organization-associated genes are correlated with clinical severity and treatment response to dupilumab. Our findings thus provide potential skin and blood biomarkers for assessing endotypes and therapeutic responses in AD to pave the way for personalized medicine. Atopic dermatitis (AD) with complex manifestations and genetic associations. Here the author profile the transcriptome of 951 skin samples from patients with AD to link skin phenotypes, clinical severity, and efficacy of dupilumab treatment to specific types of immune responses and gene features to serve clues for personalized medicine.