Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1014805 | ENA |
REPOSITORIES: ENA
Similar Datasets
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.
2012-07-25 | E-GEOD-30999 | biostudies-arrayexpress
Project description:Mild vs. severe psoriasis vulgaris is often distinguished by the Psoriasis Area and Severity Index. It is widely assumed that severe psoriasis involves higher levels of skin inflammation, but comparative molecular profiles of mild vs. severe disease have not been previously performed. In this study, we used gene arrays to phenotype North American patients with mild psoriasis vs. severe psoriasis.
2017-02-19 | GSE78097 | GEO
Project description:A gene expression profiling study was conducted in which skin biopsy samples were collected for RNA extraction and hybridization to microarrays from patients with moderate-to-severe psoriasis who participated in the phase 1, guselkumab first-in-human randomized, double-blind, placebo-controlled trial. At week 12, significant reductions in psoriasis gene expression were observed in guselkumab-treated patients. Skin biopsy samples (n=59, LS: lesion, NL: non-lesion) were collected at baseline, weeks 1 and 12 following guselkumab treatment from patients with moderate-to-severe psoriasis for RNA extraction and microarray analysis.
2014-05-14 | E-GEOD-51440 | biostudies-arrayexpress
Project description:Background: Although there is an ongoing understanding of psoriasis vulgaris (PV) pathogenesis, little is known about the proteomic diversity of psoriatic lesions between moderate and severe psoriasis. Objective: To evaluate the proteomic differences between moderate and severe psoriasis and determine biomarkers associated with disease severity. Methods: In this cross-sectional study, we report a proteomic analysis of psoriatic lesions from patients with severe PV (sPV group, n=7) using data-independent acquisition mass spectrometry (DIA-MS), as compared with patients with moderate psoriasis (mPV group, n=8). Results: 173 differentially expressed proteins (DEPs) were significantly differentially expressed between the sPV and mPV groups. Among them, 85 proteins were upregulated, while 88 were downregulated (FC ≥±1.5, P <0.05). Eighteen DEPs were mainly enriched in the IL−17 signalling pathway, Neutrophil extracellular trap formation, Neutrophil degranulation and NF−kappa B signalling pathway, which were associated with psoriasis pathogenesis. Ingenuity pathway (IPA) analysis identified TNF and TDP53 as the top upstream up-regulators, while Lipopolysaccharide and YAP1 were the top potential down-regulators. The main active pathways were antimicrobial peptides and PTEN signalling, while the inhibitory pathways were the neutrophil extracellular trap pathway, neutrophil degranulation, and IL-8 signalling. 4D-parallel reaction monitoring (4D-PRM) analysis suggested that KRT6A were downregulated in sPV.
2024-06-06 | PXD052886 |
Project description:Ixekizumab treatment of patients with moderate-to-severe plaque psoriasis.
| PRJNA737931 | ENA
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.
2012-07-26 | GSE30999 | GEO
Project description:Alefacept treatment is highly effective in a select group patients with moderate-to-severe psoriasis, and is an ideal candidate to develop systems to predict who will respond to therapy. A clinical trial of 22 patients with moderate to severe psoriasis treated with alefacept (7.5mg weekly i.v. x12 weeks) was conducted in 2002-2003, as a mechanism of action study. Patients were classified as responders or non-responders to alefacept based on histological criteria. Microarray data from PBMCs of 16 of these patients was analyzed to generate a treatment response classifier. We used a discriminant analysis method that performs sample classification from gene expression data, via nearest shrunken centroid method''. A disease response classifier using 23 genes was created to accurately predict response to alefacept (12.3% error rate in favour of responders). This preliminary study may provide a useful tool to predict response of psoriatic patients with alefacept. Keywords: class prediction Microarray data from 16 patients was analyzed to generate a treatment response classifier. We used a discriminant analysis method that performs sample classification from gene expression data, via nearest shrunken centroid method.
2010-10-02 | E-GEOD-18948 | biostudies-arrayexpress
Project description:A gene expression profiling study was conducted in which skin biopsy samples were collected for RNA extraction and hybridization to microarrays from patients with moderate-to-severe psoriasis who participated in the phase 1, guselkumab first-in-human randomized, double-blind, placebo-controlled trial. At week 12, significant reductions in psoriasis gene expression were observed in guselkumab-treated patients.
2014-05-14 | GSE51440 | GEO
Project description:Exploratory study on the kinetics of psoriasis symptoms, pruritus intensity and lesional biomarkers in patients with moderate to severe plaque-type psoriasis treated with subcutaneous secukinumab (300 mg) during a 16 week open-label run-in phase followed by a 16 week randomized, double-blind, placebo-controlled withdrawal phase.
2018-12-31 | GSE102725 | GEO
Project description:Scalp psoriasis shows a variable clinical spectrum and in many cases poses a great therapeutic challenge. However, it remains unknown whether the immune response of scalp psoriasis differs from understood pathomechanisms of psoriasis on other skin areas. We sought to determine the cellular and mollecular phenotype of scalp psoriasis by performing a comparative analysis of scalp vs skin using lesional and nonlesional samples from 20 Caucasian subjects with untreated moderate to severe psoriasis and significant scalp involvement, and 10 control subjects without psoriasis. Our results suggest that even in the scalp psoriasis is a disease of the inter-follicular skin. The immune mechanisms that mediate scalp psoriasis were found to be similar to those involved in skin psoriasis. However, the magnitude of dysregulation, number of differentially expressed genes, and enrichment of the psoriatic genomic fingerprinting were more prominent in skin lesions. Furthermore, the scalp transcriptome showed increased modulation of several gene-sets, particularly those induced by interferon-gamma, compared with skin psoriasis which was mainly associated with activation of TNFâµ/L-17/IL-22-induced keratinocyte response genes. We also detected differences in expression of gene-sets involving negative regulation, epigenetic regulation, epidermal differentiation, and dendritic cell or Th1/Th17/Th22-related T-cell processes. To define the transcriptomic profile of scalp skin, punch biopsies (6 mm diameter) were obtained from 20 Caucasian patients with untreated moderate to severe psoriasis with significative scalp involvement and 10 control subjects without psoriasis (N). Lesional (LS) samples were isolated from the infiltrated border of a plaque of psoriasis. Non lesional (NL) samples were taken from scalp areas with no visible psoriasis between the infiltrated plaques.
2015-11-25 | E-GEOD-75343 | biostudies-arrayexpress