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

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.

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Publication Details

Journal
Nature Communications
Published
2025-06-02
DOI
https://doi.org/10.1038/s41467-025-59340-x
Citations
10
Primary Topic
Dermatology and Skin Diseases
Type
article
Field-Weighted Citation Impact
20.05

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article

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

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10 citations
Nature Communications
Dermatology and Skin Diseases
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article

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

Junshi Yazaki, Kiyoshi Yashiro, Keiji Tanese, Hidehisa Saeki, Takehiro Hasegawa, Eiryo Kawakami, Jun Seita, Ayano Fukushima‐Nomura, Takafumi Etoh, Tamotsu Ebihara, Hiroshi Kawasaki, Aiko Sekita, Kazuhiro Sakurada, Osamu Ohara, Koichi Ashizaki, Masayuki Amagai, Shoko Obata, Haruhiko Koseki, Tomohiro Miyai
article en
10 citations

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.

Nature CommunicationsVol. 16(1)
Setsunan University (JP), Chiba University (JP), Keio University (JP), Sysmex (Germany) (DE), RIKEN Center for Advanced Intelligence Project (JP), Tokyo Teishin Hospital (JP), Institut de Recherche et d’Innovation (FR), Kazusa DNA Research Institute (JP), RIKEN Center for Integrative Medical Sciences (JP), Sysmex (Japan) (JP), Nippon Medical School (JP)
Japan Agency for Medical Research and Development, Sysmex Corporation, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Moonshot Research and Development Program
Zero hunger
Openalex Percentile: Top 1%
Dermatology and Skin Diseases
20.05
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