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: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 Psoriasis and AD are common inflammatory skin diseases which share important features, including: 1) large infiltrates of T-cells and inflammatory dendritic cells in skin lesions, 2) immune activation with up-regulated expression of many cytokines, chemokines, and inflammatory molecules 3) marked epidermal hyperplasia in chronic diseased skin and 4) defective barrier function with increased transepidermal water loss (TEWL), which reflects underlying alterations in keratinocyte differentiation. Using genomic profiling we provide a comprehensive comparison of chronic psoriasis and AD skin lesions as compared with normal skin.
Project description:Low environmental humidity aggravates symptoms of inflammatory skin diseases, e.g. of Atopic Dermatitis (AD). Using mice that develop AD-like symptoms, we show that an increase in environmental humidity rapidly rescues their cutaneous inflammation and associated epidermal abnormalities. Quantitative proteomics analysis of epidermal lysates of mice kept at low or high humidity identified novel humidity-regulated proteins, including Clca2/Clca3a2, a protein with previously unknown function in the skin.
Project description:Atopic dermatitis (AD) is a common inflammatory skin disease with underlying defects in epidermal function and immune responses. The goal of this study was to investigate differences in gene expression in lesional skin from patients with mild extrinsic or intrinsic AD compared to skin from healthy controls and from lesional psoriasis skin. The aim was to identify differentially expressed genes involved in skin barrier formation and inflammation, and to compare our results with those reported for patients with moderate and severe AD. A total of 31 samples were analyzed: 8 healthy skin, 9 psoriatic plaques, 4 extrinsic AD lesional skin, 10 intrinsic AD lesional skin.
Project description:Atopic dermatitis (AD) is a common inflammatory skin disease with underlying defects in epidermal function and immune responses. The goal of this study was to investigate differences in gene expression in lesional skin from patients with mild extrinsic or intrinsic AD compared to skin from healthy controls and from lesional psoriasis skin. The aim was to identify differentially expressed genes involved in skin barrier formation and inflammation, and to compare our results with those reported for patients with moderate and severe AD.
Project description:miRNAs are kown to be deeply involved in the progression of chronic inflammatory diseases. We comprehensively analyzed miRNAs in human plasma from AD(atopic dermatitis) and ACD(allergic conjunctival disease) patients. We performed a comprehensive human plasma miRNA analysis and identified significantly up-regulated miRNAs in both AD (atopic dermatitis) and ACD (allergic conjunctival disease).
Project description:Atopic dermatitis (AD) is a common inflammatory skin disease with a T(H)2 and T22 immune polarity. Despite recent data showing a genetic predisposition to epidermal barrier defects in some patients, a fundamental debate still exists regarding the role of barrier abnormalities versus immune responses in initiating the disease. An extensive study of nonlesional AD (ANL) skin is necessary to explore whether there is an intrinsic predisposition to barrier abnormalities, background immune activation, or both in patients with AD. We sought to characterize ANL skin by determining whether epidermal differentiation and immune abnormalities that characterize lesional AD (AL) skin are also reflected in ANL skin. We performed genomic and histologic profiling of both ANL and AL skin lesions (n = 12 each) compared with normal human skin (n = 10). We found that ANL skin is clearly distinct from normal skin with respect to terminal differentiation and some immune abnormalities and that it has a cutaneous expansion of T cells. We also showed that ANL skin has a variable immune phenotype, which is largely determined by disease extent and severity. Whereas broad terminal differentiation abnormalities were largely similar between involved and uninvolved AD skin, perhaps accounting for the background skin phenotype, increased expression of immune-related genes was among the most obvious differences between AL and ANL skin, potentially reflecting the clinical disease phenotype. Our study implies that systemic immune activation might play a role in alteration of the normal epidermal phenotype, as suggested by the high correlation in expression of immune genes in ANL skin with the disease severity index. Genomic profile of paired samples of ANL and AL skin lesions from 12 patients compared with normal human skin (n = 8). For some patients, only 1 sample was available.
Project description:Atopic dermatitis (AD) is a serious inflammatory skin disorder characterized by increased levels of proinflammatory cytokines that contribute to a vicious cycle of inflammation. While the in-flammatory recombinant human epidermal (RHE) models related to AD have been established, there is currently lack of comprehensive understanding. To reveal the alterations and identify potential hub genes in AD-related inflammation, related RHE models induced by inflammatory cocktail (polyinosinic-polycytidylic acid, TNF-α, IL-4 and IL-13) are constructed and analyzed through TMT-proteomic in combination with RNA-seq transcriptomic.