Project description:A gene expression profiling sub-study was conducted in which skin biopsy samples (n=192) were collected for RNA extraction and hybridization to microarrays from patients with moderate-to-severe psoriasis who participated in ACCEPT, an IRB-approved Phase 3, multicenter, randomized trial. This analysis identified gene expressions significantly modulated in psoriasis lesions (LS) following ustekinumab or etanercept treatment at week 12 compared to baseline. Molecular expression of mRNA was found to be different in ustekinumab PASI75 responders vs. nonresponders. Differential modulation of selected mRNAs was also observed between ustekinumab and etanercept PASI75 responders.
Project description:A gene expression profiling sub-study was conducted in which skin biopsy samples were collected from 85 patients with moderate-to-severe psoriasis who were participating in ACCEPT, an IRB-approved Phase 3, multicenter, randomized trial. This analysis identified 4,175 probe-sets as being significantly modulated in psoriasis lesions (LS) compared with matched biopsies of non-lesional (NL) skin. Skin biopsy samples (n=170) were collected at baseline for RNA extraction and microarray analysis from 85 patients with moderate-to-severe psoriasis without receiving active psoriasis therapy.
Project description:Psoriasis is a chronic inflammatory immune-mediated disorder affecting the skin and other organs including joints. Over 1,300 transcripts are altered in psoriatic involved skin compared to normal skin. Global epigenetic profiles of psoriatic skin have not been described. Here we describe the first genome-wide study of altered CpG methylation in psoriatic skin. We determined the methylation levels at 27,578 CpG sites in skin samples from individuals with psoriasis (12 involved, 8 uninvolved) and 10 unaffected individuals. CpG methylation of involved skin differed from normal skin at 1,108 sites. Twelve mapped to the epidermal differentiation complex, upstream or within genes that are highly up-regulated in psoriasis. Hierarchical clustering of 50 of the top differentially methylated (DM) sites separated psoriatic from normal skin samples. CpG sites where methylation was correlated with gene expression are reported. Sites with inverse correlations between methylation and nearby gene expression include those of KYNU, OAS2, S100A12, and SERPINB3, whose strong transcriptional up-regulation are important discriminators of psoriasis. We observed intrinsic epigenetic differences in uninvolved skin. Pyrosequencing of bisulfite-treated DNA from skin biopsies at three DM loci confirmed earlier findings and revealed a reversion of methylation levels towards the non-psoriatic state after one month of anti-TNF-a therapy. Control n=8 (NN), psoriasis involved n = 19 (PP), psoriasis uninvolved n=8 (PN). Hybridized to Illumina Human 27k methylation array. Paired samples are as follows: PN1 and PP1 PN2 and PP2 PN3 and PP3 PN4 and PP4 PN5 and PP5 PN6 and PP6 PN7 and PP7 PN8 and PP8
Project description:Development of a suitable mouse model would facilitate the investigation of pathomechanisms underlying human psoriasis and would also assist in development of therapeutic treatments. However, while many psoriasis mouse models have been proposed, no single model recapitulates all features of the human disease, and standardized validation criteria for psoriasis mouse models have not been widely applied. In this study, whole-genome transcriptional profiling is used to compare gene expression patterns manifested by human psoriatic skin lesions with those that occur in five psoriasis mouse models (K5-Tie2, imiquimod, K14-AREG, K5-Stat3C and K5-TGFbeta1). While the cutaneous gene expression profiles associated with each mouse phenotype exhibited statistically significant similarity to the expression profile of psoriasis in humans, each model displayed distinctive sets of similarities and differences in comparison to human psoriasis. For all five models, correspondence to the human disease was strong with respect to genes involved in epidermal development and keratinization. Immune and inflammation-associated gene expression, in contrast, was more variable between models as compared to the human disease. These findings support the value of all five models as research tools, each with identifiable areas of convergence to and divergence from the human disease. Additionally, the approach used in this paper provides an objective and quantitative method for evaluation of proposed mouse models of psoriasis, which can be strategically applied in future studies to score strengths of mouse phenotypes relative to specific aspects of human psoriasis. Global transcriptional profiling was utilized to evaluate the similarity between human psoriasis and the psoriasis-like phenotypes that develop in five mouse models (K5-Tie2, IMQ, K14-AREG, K5-Stat3C, K5-TGFbeta1) Expression patterns associated with mouse phenotypes were evaluated by comparing lesional skin from transgenic or IMQ-treated mice (n = 2-3) with normal skin obtained from control mice (n = 2-3).
Project description:Purpose: To identify the gene expression and upstream regulator at lesional skin of psoriasis vulgaris Methods:Full-thickness skin biopsies at lesional skin and uninvolved skin were taken from psoriasis patients. Transcriptomic profiling was constructed by high-throughput next-generation sequencing (NGS) technology Result:The total of 1328 DEGs are identified. Among these 1328 DEGs, 648 were upregulated and 680 were down regulated . Upstream regulators involving in keratinocyte proliferation was predicted to be activated. These DEGs and upstream regulator may be associated with psoriasis pathogenesis Conclusion: This study revealed upstream regulator that may be involved in psoriasis pathogenesis
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:Psoriasis is a common inflammatory skin disease characterized by aberrant inflammation and epidermal hyperplasia. Molecular mechanisms that regulate psoriasis-like skin inflammation remain to be fully understood. Here we show that the expression of Ovol1 transcription factor is upregulated in psoriatic skin, and its deletion results in aggravated psoriasis-like skin symptoms following stimulation with imiquimod (IMQ). Using bulk and single-cell RNA-sequencing, we identify molecular changes in the epidermal, fibroblast and immune cells of Ovol1-deficient skin that reflect altered course of epidermal differentiation and enhanced inflammatory responses. Furthermore, we provide evidence for excessive full-length IL-1 signaling in the microenvironment of IMQ-treated Ovol1-deficient skin that functionally contributes to immune cell infiltration and epidermal hyperplasia. Collectively, our study uncovers a protective role for Ovol1 in curtailing psoriasis-like inflammation and the associated skin pathology
Project description:Psoriasis is a chronic inflammatory skin disease characterized by marked proliferation of keratinocytes leading to pronounced epidermal hyperplasia, elongation of rete ridges and hyperkeratosis. The most common form of psoriasis, chronic plaque psoriasis (Psoriasis vulgaris), involves relatively stable occurrence and progression of sharply demarcated lesions, usually on the trunk and extremities, which share a combination of trademark histological features, including tortuous and dilated dermal capillaries, loss of the epidermal granular layer, and accumulation of neutrophils beneath parakeratotic scale. In this study, whole-genome transcriptional profiling was used to characterize gene expression in 4 lesional and uninvolved skin samples obtained from patients with stable chronic plaque psoriasis. Skin mRNA expression was analysed by microarray. Four individuals with chronic plaque psoriasis were enrolled. 6 mm punch biopsies were obtained under local anaesthesia (lidocaine) from uninvolved skin and a target plaque.
Project description:The efficacy of monoclonal antibodies against either interleukin (IL)-17 or the IL-17 receptor in psoriasis therapy provides strong evidence that IL-17 is the major inflammatory mediation in this disease. However, how IL-17 induces epidermal hyperplasia in psoriasis remains largely unknown. Here, we show that IL-17 actives NF-kB in keratinocytes and initiates the NF-kB-dependent transcription of microRNA-31 (miR-31), one of the most abundant microRNAs in the epidermis of lesional skin of psoriasis and two related mouse models. Similar to IL-17 deficiency (IL-17-/-), knocking out miR-31 (miR-31-/-) or targeting it by antagomir-31 prevents keratinocytes Ki67 expression and inhibits acanthosis and dermal inflammation in psoriasis mouse model. Moreover, PPP6c, a negative regulator restricting G0/G1 to G2/M phase progression in the cell cycle, is diminished in human psoriatic epidermis and is directly targeted by miR-31. Inhibition of ppp6c is functionally important for the biological effects of miR-31 in the development of epidermal hyperplasia. Thus, our data define IL-17-inducede miR-31 and its target ppp6c as critical factors for hyperproliferative epidermis in psoriasis. Epidermis samples from affected ears derived from 3 CD18hypo PL/J mice (DIS) or normal ears derived from 3 CD18hypo C57BL/6J mice(2128) were used for RNA extraction and hybridization on Affymetrix microarrays. We sought to compare miRNA expression of normal skin from control and lesional skin.