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.
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.
Project description:We analyzed m6A modifications in skin lesions of patients with psoriasis or atopic dermatitis (AD). The results of this study will help to gain insight into the molecular basis of m6A modification in inflammatory skin diseases such as psoriasis or atopic dermatitis.
Project description:Lipids play a critical role in the skin as components of the epidermal barrier and as sig-naling molecules. Atopic dermatitis in dogs is associated with changes in the lipid composition of the skin, but whether these precede the onset of dermatitis or occur secondary to the dermatitis is unclear. We applied rapid lipid profiling mass spectrometry methods to skin and blood samples of dogs and determined changes following systemic treatment. Thirty control dogs and 30 atopic dogs with mild to moderate dermatitis were enrolled. Marked differences in lipid profiles were observed between control, nonlesional and lesional skin of dogs. Additionally, there were significant altera-tions in the lipid composition of the blood samples indicating systemic changes in lipid metabolism. Treatment with oclacitinib or lokivetmab resulted in a significant decrease of the disease clinical severity associated with changes in skin and blood lipids. A set of lipid features of the skin were selected as biomarkers that classified samples as control or atopic dermatitis with 95% accuracy, whereas blood lipids discriminated between control and atopic dogs with 82% accuracy. These data suggest that atopic dermatitis is a systemic disease and support the use of rapid lipid profiling to identify novel biomarkers.
Project description:Atopic dermatitis (AD) is the chronic inflammatory skin disease accompanied with severe pruritus. To explore the roles of EGR1 in atopic dermatitis and the relationship between EGR1 and pruritus-scratching behavior, we used a atopic dermatitis-like mouse model driven by house dust mite (HDM) treatment in wild type and EGR1 KO mice, followed with RNA-sequencing analysis.
Project description:In this study we used genomic profiling to characterize differences in expression of genes related to epidermal growth/differentiation and inflammatory circuits in skin lesions of psoriasis and atopic dermatitis (AD), comparing expression values to normal skin. Skin biopsies were collected from 9 patients with chronic atopic dermatitis, 15 psoriasis patients, and 9 healthy volunteers. Keywords: Genetic-pathology
Project description:Comparison of gene expression in atopic dermatitis (AD) and ichthyosis vulgaris (IV) patients skin compared to healthy control skin depending on filaggrin(FLG) genotype
Project description:Periostin is a matricellular protein known to be alternatively spliced to produce isoforms with a molecular weight of 78-91 kDa. In the extracellular matrix, periostin attach to cell surfaces and induce signaling via integrin-binding and participates in fibrillogenesis to organize collagen in the extracellular space. In the atopic diseases atopic dermatitis and asthma, periostin is known to participate in driving the disease-causing type 2 inflammation. The periostin isoforms expressed in these diseases and the implication of the alternative splicing events are unknown. Here we present two universal assays to map the expression of periostin isoforms on both the transcriptional (RT-qPCR) and translational (PRM-based mass spectrometry) level. We use these assays to study the splice profile of periostin in atopic dermatitis lesions from patients in active treatment vs. normal skin and in in vitro models of atopic dermatitis and asthma. All isoforms expect isoform 3 show decreased expression at the transcriptional level in AD lesions from patients treated with corticosteroids compared to normal skin. The isoforms display an elevated amount at the translational level indicating a delayed response in periostin level during treatment. Expression of the isoforms were upregulated in the in vitro models of atopic dermatitis and asthma at both the transcriptional and translational level with isoform 3 and 5 displaying the highest level of overexpression. Interestingly, the often overlooked isoform 9 and 10 behaved opposite to the other isoforms as they were equally or even less abundant in the disease models compared to the control, and they were identified in the normal skin samples but not in atopic dermatitis lesions. With the assays and findings presented in the publication connected to this dataset we can take further steps in mapping and understanding the role of periostin isoforms.