Project description:Hypersensitivity reactions to medications constitute a growing problem in the clinical practice. In order to study the molecular basis underlying the pathogenesis of non-immediate hypersensitivity reactions to drugs, we characterized the gene expression profiles of PBMCs isolated from patients during the acute phase and upon resolution of the clinical symptoms using a cDNA array technology. Eighty five genes were found to be differentially expressed during the acute phase of drug-induced delayed hypersensitivity reactions. Furthermore, ninety two genes with distinct expression patterns during the acute phase of severe and benign diseases were identified. Keywords: Comparison between disease and healty status
Project description:Drug reaction with eosinophilia and systemic symptoms (DRESS) is a cutaneous drug hypersensitivity reaction (DHR) with internal organ involvement and associated mortality, often caused by antibiotics. Despite the risk of severe systemic involvement, no robust diagnostic test to identify causative drug exists. To identify potential biomarkers, we evaluated changes in gene expression following exposure of PBMCs to a culprit antibiotic (cefoxitin, teicoplanin, vancomycin, dapsone) and developed a molecular assay test (MAT).
Project description:Hypersensitivity reactions to medications constitute a growing problem in the clinical practice. In order to study the molecular basis underlying the pathogenesis of non-immediate hypersensitivity reactions to drugs, we characterized the gene expression profiles of PBMCs isolated from patients during the acute phase and upon resolution of the clinical symptoms using a cDNA array technology. Eighty five genes were found to be differentially expressed during the acute phase of drug-induced delayed hypersensitivity reactions. Furthermore, ninety two genes with distinct expression patterns during the acute phase of severe and benign diseases were identified. Keywords: Comparison between disease and healty status Expression profiles of 11835 genes were analyzed in peripheral blood mononuclear cells from 13 patients with different clinical entities . Two samples were analyze from each patient. The first blood sample was drawn during the acute phase of the disease. The second blood sample was obtained upon resolutin of the clinical symptoms. The ratio between gene expression levels in both samples was calculated for each patient.
Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.