Co-Morbid Multiple Sclerosis and Psoriasis: Clinical Outcomes and Gene Expression
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE141804 | GEO | 2020/12/11
REPOSITORIES: GEO
Similar Datasets
Project description:Co-Morbid Multiple Sclerosis and Psoriasis: Clinical Outcomes and Gene Expression
| PRJNA594859 | ENA
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:To understand the mechanism of disease progression in psoriasis, we defined Asian small plaque psoriasis (small psoriasis) and Asian intermediate plaque psoriasis (intermediate psoriasis) as psoriasis subtypes with limited disease progression, and compared their cellular and molecular signatures with the classic subtype of Western large plaque psoriasis (large psoriasis; GSE30999). Transcriptome analyses in pre-treatment skin biopsies from patients with Asian small and intermediate plaque psoriasis. 12 Asian small plaque psoriasis skin biopsy tissues (7 lesional and 5 non-lesional skin) and 15 Asian intermediate plaque psoriasis skin biopsy tissues (7 lesional and 8 non-lesional skin). GCRMA (using gcrma package from R/Bioconductor) and adjusted for batch effect. The expression data was combined with Western large psoriasis (GSE30999). Using a normalization based upon quantiles, the expression data was normalized based upon a specified normalization distribution of GSE30999 (see publication for GSE67853). The complete dataset representing: (1) 12 Asian small plaque psoriasis Samples, (2) 15 Asian intermediate plaque psoriasis Samples, and (3) 130 Western large plaque psoriasis Samples from GSE30999 (re-processed), is linked below as a supplementary file.
2016-01-10 | E-GEOD-67853 | biostudies-arrayexpress
Project description:Background: Psoriasis is a chronic disease characterized by the development of scaly red skin lesions and possible co-morbid conditions. The psoriasis lesional skin transcriptome has been extensively investigated, but mRNA levels do not necessarily reflect protein abundance. Methods: Lesional (PP) and uninvolved (PN) skin samples from 14 patients were analyzed using high-throughput complementary DNA sequencing (RNA-seq) and liquid chromatography-tandem mass spectrometry (LC-MS/MS). Results: We identified 4122 differentially expressed genes (DEGs) along with 748 differentially expressed proteins (DEPs). Global shifts in mRNA were modestly correlated with changes in protein abundance (r = 0.40). We identified similar numbers of increased and decreased DEGs, but 4-fold more increased than decreased DEPs. Ribosomal subunit and translation proteins were elevated within lesions, without a corresponding shift in mRNA expression (RPL3, RPS8, RPL11). We identified 209 differentially expressed genes/proteins (DEGPs) with corresponding trends at the transcriptome and proteomic levels. Most DEGPs were similarly altered in at least one other skin disease. Psoriasis-specific and non-specific DEGPs had distinct cytokine-response patterns, with only the former showing disproportionate induction by IL-17A in cultured keratinocytes. Conclusions: Our findings reveal global imbalance between the number of increased and decreased proteins in psoriasis lesions, consistent with heightened translation. This effect could not have been discerned from mRNA profiling data alone. We have also identified high-confidence DEGPs and shown that only those most specific to psoriasis are enriched with IL-17A targets. RNA-seq-based comparison between gene expression in psoriasis lesions and uninvolved skin from 14 patients
2015-08-23 | E-GEOD-67785 | biostudies-arrayexpress
Project description:Although biomarker candidates associated with psoriasis have been suggested, those for predicting the risk of cardiovascular disease (CVD) early in patients with psoriasis are lacking. We aimed to identify candidate biomarkers that can predict the occurrence of CVD in psoriasis patients. We pursued quantitative proteomic analysis of serum samples composed of three groups: psoriasis patients with and those without CVD risk factors, and healthy controls. Age/Sex-matched serum samples were selected and labeled with 16-plex tandem mass tag (TMT) and analyzed using liquid chromatography-mass spectrometry and subsequent verification with ELISA. Of the 184 proteins that showed statistical significance (P-value <0.05) among the three groups according to TMT-based quantitative analysis, 98 proteins showed significant differences (>2.0-fold) between the psoriasis groups with and without CVD risk factors. Verification by ELISA revealed that caldesmon (CALD1), myeloid cell nuclear differentiation antigen (MNDA), and zyxin (ZYX) levels were significantly increased in the psoriasis group with CVD risk factors. Further network analysis identified pathways including integrin signaling, which could be related to platelet aggregation, and actin cytoskeleton signaling. Three novel candidates (MNDA, ZYX, and CALD1) could be potential biomarkers for predicting CVD risks in psoriasis patients. We expect these biomarker candidates can be used to predict CVD risk in psoriasis patients in clinical settings although further studies including large validation are needed.
2023-02-20 | PXD039645 | Pride
Project description:Herein we demonstrate the efficacy of an unbiased proteomics screening approach for studying protein expression changes in the KC-Tie2 psoriasis mouse model, identifying multiple protein expression changes in the mouse and validating these changes in human psoriasis. KC-Tie2 mouse skin samples (n=3) were compared with littermate controls (n=3) using gel-based fractionation followed by label-free protein expression analysis. 5482 peptides mapping to 1281 proteins were identified and quantitated: 105 proteins exhibited fold-changes ≥2.0 including: stefin A1 (average fold change of 342.4 and an average P = 0.0082; cystatin A, human orthologue); slc25a5 (average fold change of 46.2 and an average P = 0.0318); serpinb3b (average fold change of 35.6 and an average P = 0.0345; serpinB1, human orthologue); and kallikrein related peptidase 6 (average fold change of 4.7 and an average P = 0.2474; KLK6). We independently confirmed mouse gene expression-based increases of selected genes including serpinb3b (17.4-fold, P < 0.0001), KLK6 (9.0-fold, P = 0.002), stefin A1 (7.3-fold; P < 0.001) and slc25A5 (1.5-fold; P = 0.05) using qRT-PCR on a second cohort of animals (n=8). Parallel LC/MS/MS analyses on these same samples verified protein-level increases of 1.3-fold (slc25a5; P < 0.05), 29,000-fold (stefinA1; P < 0.01), 322-fold (KLK6; P < 0.0001) between KC-Tie2 and control mice. To underscore the utility and translatability of our combined approach, we analyzed gene and protein expression levels in psoriasis patient skin and primary keratinocytes vs. healthy controls. Increases in gene expression for slc25a5 (1.8-fold), cystatin A (3.0-fold), KLK6 (5.8-fold) and serpinB1 (76-fold; all P < 0.05) were observed between healthy controls and involved lesional psoriasis skin and primary psoriasis keratinocytes. Moreover slc25a5, cystatin A, KLK6 and serpinB1 protein were all increased in lesional psoriasis skin compared to normal skin. These results highlight the usefulness of preclinical disease models using readily-available mouse skin and demonstrate the utility of proteomic approaches for identifying novel peptides/proteins that are differentially regulated in psoriasis that could serve as sources of auto-antigens or provide novel therapeutic targets for the development of new anti-psoriatic treatments.
2014-10-30 | PXD001387 | Pride
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:The gut microbiome plays an important role in normal immune function and has been implicated in several autoimmune disorders. Here we use high-throughput 16S rRNA sequencing to investigate the gut microbiome in subjects with multiple sclerosis (MS, n=61) and healthy controls (n=43). Alterations in the gut microbiome in MS include increases in the genera Methanobrevibacter and Akkermansia and decreases in Butyricimonas, and correlate with variations in the expression of genes involved in dendritic cell maturation, interferon signaling and NF-kB signaling pathways in circulating T cells and monocytes. Patients on disease-modifying treatment show increased abundances of the genera Prevotella and Sutterella, and decreased Sarcina, compared to untreated patients. MS patients of a second cohort show elevated breath methane compared to controls, consistent with our observation of increased gut Methanobrevibacter in MS in the first cohort. Further study is required to assess whether the observed alterations in the gut microbiome play a role in, or are a consequence of, MS pathogenesis.
2016-05-11 | GSE81279 | GEO
Project description:Purpose: The present study is aiming to understand transcriptome changes during psoriatic changes using high-throughput sequencing and thereby comprehensively assess the diseases and guide future research directions. Methods: Clinical psoriatic samples, including psoriatic lesions and their adjacent normal skin samples, and the surgical derived skins from healthy individuals as comparative controls were collected and analysed of their RNA expression profile using Illumina HiSeq 4000. raw sequencing reads were processed and pre-qualified using Trimmomatic and Fragments Per kb Per Million Reads (FPKM) method was used to calculate the abundance of each transcript followed by Negative Binomial Distribution tests to identify significant differences in each comparison. Results: Total reads for mRNAs, lncRNAs and miRNAs was 108,552, 105,136 and 2762, respectively, including 649 novel lncRNAs and 905 novel miRNAs. 5383 DE_mRNAs, 1201 DE_lncRNAs and 80 DE_miRNAs were identified in the comparison of the psoriasis lesions-adjacent normal group (PN) vs. healthy control-derived normal skin group (NN; PN vs. NN). A total of 9513 DE_mRNAs, 1940 DE_lncRNAs and 251 DE_miRNAs were identified in the psoriasis lesion group (PS) vs. NN comparison (PS vs. NN), and 4946 DE_mRNAs, 1559 DE_lncRNAs and 92 DE_miRNAs were identified in the PS vs. PN comparison. Conclusions: We identified numerous differentially expressed RNAs, including mRNAs, long non-coding RNAs (lncRNAs) and microRNAs (miRNAs). Our results reveal transcriptomic changes, expand our mechanistic understanding of psoriasis, and may lead to new directions for psoriasis research.
2019-12-25 | GSE142582 | GEO
Project description:To understand the mechanism of disease progression in psoriasis, we defined Asian small plaque psoriasis (small psoriasis) and Asian intermediate plaque psoriasis (intermediate psoriasis) as psoriasis subtypes with limited disease progression, and compared their cellular and molecular signatures with the classic subtype of Western large plaque psoriasis (large psoriasis; GSE30999).
2016-01-10 | GSE67853 | GEO