ArticleNature communications2023
Multifaceted analysis of cross-tissue transcriptomes reveals phenotype-endotype associations in atopic dermatitis.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Article
- Artificial intelligence in atopic dermatitis: Current applications and future perspectives.Chinese medical journal · 2026Review
- Plasma proteomic profiles of patients with atopic dermatitis with moderate-to-severe pruritus treated with a single dose of nemolizumab.JID innovations : skin science from molecules to population health · 2026Article
- Alzheimer's Disease Risk Factor APOE4 Exerts Dimorphic Effects on Female Bone.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Stratum Corneum Ceramide Abnormalities in Atopic Dermatitis: Pathophysiology and Implications for Disease Management.The Journal of dermatology · 2026Review
- Updated insights into the molecular pathogenesis of canine atopic dermatitis.Veterinary dermatology · 2025Review
- Multiomic approaches for endotype discovery in allergy/immunology.The Journal of allergy and clinical immunology · 2025Article
- Transcriptomic Profiling of Lesional and Perilesional Skin in Atopic Dermatitis Suggests Barrier Dysfunction, Inflammatory Activation, and Alterations to Vitamin D Metabolism.International journal of molecular sciences · 2025Article
- An unbiased tissue transcriptome analysis identifies potential markers for skin phenotypes and therapeutic responses in atopic dermatitis.Nature communications · 2025Article
- Transcriptome-wide analyses delineate the genetic architecture of expression variation in atopic dermatitis.HGG advances · 2025Article
- Unveiling novel susceptibility genes and drug targets for basal cell carcinoma by a cross-tissue transcriptome-wide association study.Discover oncology · 2025Article
- Comprehensive proteome profiling of molecular endotypes in Japanese adults with moderate-to-severe atopic dermatitis.Frontiers in medicine · 2025Article
- Blocking the IL-4/IL-13 Axis versus the JAK/STAT Pathway in Atopic Dermatitis: How Can We Choose?Journal of personalized medicine · 2024Review
- Genome-wide identification of dysregulated alternative splicing and RNA-binding proteins involved in atopic dermatitis.Frontiers in genetics · 2024Article
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Authors and funding
20 authors at 7 institutions in 1 country.
Funding
Abstract
Atopic dermatitis (AD) is a skin disease that is heterogeneous both in terms of clinical manifestations and molecular profiles. It is increasingly recognized that AD is a systemic rather than a local disease and should be assessed in the context of whole-body pathophysiology. Here we show, via integrated RNA-sequencing of skin tissue and peripheral blood mononuclear cell (PBMC) samples along with clinical data from 115 AD patients and 14 matched healthy controls, that specific clinical presentations associate with matching differential molecular signatures. We establish a regression model based on transcriptome modules identified in weighted gene co-expression network analysis to extract molecular features associated with detailed clinical phenotypes of AD. The two main, qualitatively differential skin manifestations of AD, erythema and papulation are distinguished by differential immunological signatures. We further apply the regression model to a longitudinal dataset of 30 AD patients for personalized monitoring, highlighting patient heterogeneity in disease trajectories. The longitudinal features of blood tests and PBMC transcriptome modules identify three patient clusters which are aligned with clinical severity and reflect treatment history. Our approach thus serves as a framework for effective clinical investigation to gain a holistic view on the pathophysiology of complex human diseases.
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