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:Fragile X syndrome and tuberous sclerosis are genetic syndromes that both have a high rate of co-morbidity with autism spectrum disorders. Several lines of evidences suggest that these two monogenic disorders may converge at a molecular level through the dysfunction of activity-dependent synaptic plasticity. We utilized mouse models of these monogenic disorders to identify genome-wide transcriptional changes in cerebellum and blood and characterize the (dis-)similarity of their molecular signatures. Differentially expressed genes and enriched pathways were distinct for the two mouse models examined, with the exception of immune system related pathways. In the cerebellum of the Fmr1 knockout (Fmr1-KO) model, the neuroactive ligand receptor interaction pathway and gene sets associated with synaptic plasticity such as long term potentiation, gap junction, and axon guidance were the most significantly perturbed pathways. The phosphatidylinositol signaling pathway was significantly dysregulated in both blood and brain of Fmr1-KO mice. In both the blood and brain of the Tsc2 heterozygous mouse model, immune system related pathways, genes encoding ribosomal proteins, and glycolipid metabolism pathways were significantly perturbed. Our data suggest that distinct molecular pathways may be involved in autism spectrum disorders with known but different genetic causes, and that blood gene expression profiles of Fmr1-knockout and Tsc2+/- mice mirror some, but not all, of the perturbed molecular pathways in the brain. For the Fmr1-KO model, 10 mice, consisting of 5 KO and 5 WT mice, were profiled. Thus, 10 pairs of blood and cerebella samples were profiled. Likewise, for the Tsc+/- model, 3 transgenic and 3 WT mice were sacrificed and paired blood and cerebella samples were prepared for gene expression profiling. All samples were profiled using the Affymetrix Mouse Gene ST 1.0 ST arrays. Three factors—tissue (i.e. blood vs. cerebellum), treatment (i.e. knockout vs. wildtype), and genetic background (Fmr1-KO vs. Tsc2+/-)—were analyzed with analysis of variance (ANOVA). Subsequently, we compared blood and brain gene expression changes in Fmr1 and Tsc2 knockout mice models using WT littermates as controls using t-tests with unequal variances. The false discovery rate (FDR) was calculated using Storey and Tibshirani’s method.