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Single-cell RNA sequencing defines disease-specific differences between chronic nodular prurigo and atopic dermatitis

ABSTRACT: Single-cell RNA sequencing defines disease-specific differences between chronic nodular prurigo and atopic dermatitis

PROVIDER: PRJNA923643 | ENA |

REPOSITORIES: ENA

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Single-cell RNA sequencing defines disease-specific differences between chronic nodular prurigo and atopic dermatitis

Project description:Background: Chronic nodular prurigo (CNPG) is a chronic inflammatory skin disease that is maintained by a chronic itch-scratch cycle likely rooted in neuro-immunological dysregulation. This condition may be associated with atopy in some patients, and there are now promising therapeutic results from blocking type-2 cytokines such as IL-4, IL-13 and IL-31. Nevertheless, underlying pathomechanisms as well as the molecular relationship with atopy remain ill-defined. Methods: We profiled skin lesions from patients with CNPG in comparison to atopic dermatitis (AD) and healthy control (HC) individuals using single-cell RNA sequencing combined with T-cell receptor sequencing. Results: We found type-2 immune skewing in both CNPG and AD, as evidenced by CD4+ helper T cells expressing IL13. However, only AD harbored an additional, oligoclonally expanded CD8A+ IL9R+ IL13+ cytotoxic T cell population, and immune activation pathways were highly upregulated in AD, but less so in CNPG. Conversely, CNPG showed signatures of extracellular matrix organization, collagen synthesis, and fibrosis, including a unique population of CXCL14- IL24+ secretory-papillary fibroblasts. Besides known itch mediators such as IL31 and oncostatin M (OSM), we also detected increased levels of neuromedin B (NMB) in fibroblasts of CNPG lesions compared to AD and HC, with NMB receptors detectable on some nerve endings. Conclusion: These data show that CNPG does not harbor the strong disease-specific immune activation pathways that are typically found in AD, but is rather characterized by upregulated stromal remodeling mechanisms that might directly impact itch fibers.

2023-05-24 | GSE222840 | GEO

mRNA expression of Atopic Dermatitis keratinocytes

Project description:mRNA array analysis of total RNA from primary kertinocytes from three healthy controls, three atopic dermatitis patients and three psoriasis patients was carried out

2012-06-01 | E-MTAB-728 | biostudies-arrayexpress

Genomic profiling of the overlap phenotype between psoriasis and atopic dermatitis

Project description:Clinical overlaps between psoriasis and atopic dermatitis are sometimes undiscernible, and there is no consensus whether to treat the overlap phenotype as psoriasis or atopic dermatitis. We enrolled patients diagnosed with either psoriasis or atopic dermatitis, and clinically re-stratified them into classic psoriasis, classic atopic dermatitis, and the overlap phenotype between psoriasis and atopic dermatitis. We compared gene expression profiles of lesional and nonlesional skin biopsy tissues between the three comparison groups. Global mRNA expression and T-cell subset cytokine expression in the skin of the overlap phenotype were consistent with the profiles of psoriasis and different from the profiles of atopic dermatitis. Unsupervised k-means clustering indicated that the best number of distinct clusters for the total population of the three comparison groups was two, and the two clusters of psoriasis and atopic dermatitis were differentiated by gene expression. Our study suggests that clinical overlap phenotype between psoriasis and atopic dermatitis has dominant molecular features of psoriasis, and genomic biomarkers can differentiate psoriasis and atopic dermatitis at molecular levels in patients with a spectrum of psoriasis and atopic dermatitis.

2023-06-24 | GSE182740 | GEO

TWEAK Upregulates atopic dermatitis related genes

Project description:TWEAK Upregulates atopic dermatitis related genes in human kearatinocytes

2023-11-28 | GSE214503 | GEO

Atopic Dermatitis Research Network

Project description:Atopic Dermatitis Research Network

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Microarray transcriptome profiling of atopic dermatitis and psoriasis patients compared to healthy volunteers.

Project description:Characteization host-microbiome interactions in patients with allergic (model: atopic dermatitis) and autoimmune (model: psoriasis) diseases by integration of microarray transcriptome data with 16S microbial profiling. 6mm punch biopsies were collected from the skin of atopic dermatitis and psoriasis patients alongside healthy volunteers, and subjected to analysis using Affymetrix Human Gene ST 2.1 arrays.

2019-09-11 | E-MTAB-8149 | biostudies-arrayexpress

AhR links air pollution and atopic dermatitis via Artemin induction

Project description:Atopic dermatitis is increasing worldwide, correlating with air pollutions. Various organic components of pollutants activate transcription factor AhR (aryl-hydrocarbon receptor). We have established AhR-CA mice, whose keratinocytes express constitutive-active AhR, and these mice developed atopic dermatitis-like frequent scratching and allergic inflammation. In this study we performed ChIP-seq analyses and identified keratinocyte-specific AhR target genes, including inflammatory cytokines Tslp and IL33, and neurotrophic factor Artemin. While AhR-CA mice exhibited epidermal hyperinnervation and alloknesis leading to hypersensitivity to pruritus, blockade of Artemin alleviated these phenotypes. AhR-CA mice showed scratching-induced barrier insufficiency and enhanced sensitization to epicutaneously-applied antigens, recapitulating human atopic dermatitis. Consistently, AhR activation and Artemin expression was detected in the epidermis of atopic dermatitis patients and keratinocytes exposed to air pollutants. Thus, AhR in keratinocytes senses the environmental stimuli and responds to them through moderating inflammation. We propose a mechanism in which air pollution induces atopic dermatitis through AhR activation.

2016-11-13 | GSE72449 | GEO

Profiling of serum microRNAs in children with atopic dermatitis

Project description:Atopic dermatitis (AD) is the most prevalent chronic inflammatory skin disease in children characterized by dermatitis and pruritus. MicroRNAs (miRNAs) have been shown as great potential biomarkers for disease fingerprints to predict prognostics. We aimed to identify miRNA signature from serum and urine for the prognosis of AD patient by genome-wide miRNA profiling analysis. Serum from 8 children with AD and 8 healthy children were collected

2014-10-17 | E-GEOD-62404 | biostudies-arrayexpress

Profiling of urinary microRNAs in children with atopic dermatitis

Project description:Atopic dermatitis (AD) is the most prevalent chronic inflammatory skin disease in children characterized by dermatitis and pruritus. MicroRNAs (miRNAs) have been shown as great potential biomarkers for disease fingerprints to predict prognostics. We aimed to identify miRNA signature from serum and urine for the prognosis of AD patient by genome-wide miRNA profiling analysis. Urine from 3 children with AD and 3 healthy children were collected

2014-10-17 | E-GEOD-62403 | biostudies-arrayexpress

Genome-Wide Profiling of Lesional and Non-Lesional Skin from Atopic Dermatitis, Psoriasis, and Contact Dermatitis Skin

Project description:Genome-Wide Profiling of Lesional and Non-Lesional Skin from Atopic Dermatitis, Psoriasis, and Contact Dermatitis Skin

2020-06-23 | GSE153007 | GEO