Transcriptomic analysis of peripheral blood mononuclear cells (PBMC) in psoriasis patients treated with guselkumab
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE201397 | GEO | 2022/04/27
REPOSITORIES: GEO
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Project description:Background: Psoriasis is a systemic inflammatory skin disease. MicroRNAs (miRNAs) are a class of small non-coding RNA molecules that recently have been found in the blood to be relevant as disease biomarkers. Objective: We aimed to explore miRNAs potential as blood biomarkers for psoriasis. Methods: Using microarray and quantitative real-time PCR we measured the global miRNA expression in whole blood, plasma and peripheral blood mononuclear cells (PBMCs) from patients with psoriasis and healthy controls. Results: We identified several deregulated miRNAs in the blood from patients with psoriasis including miR-223 and miR-143 which were found to be significantly upregulated in the PBMCs from patients with psoriasis compared with healthy controls (FCH=1.63, P<0.01; FCH=2.18, P<0.01, respectively). In addition, miR-223 and miR-143 significantly correlated with the PASI score (r = 0.46, P<0.05; r=0.55, P<0.02, respectively). Receiver-operating characteristic analysis (ROC) showed that miR-223 and -143 have the potential to distinguish between psoriasis and healthy controls (miR-223: Area under the curve (AUC) = 0.80, miR-143: AUC = 0.75). Interestingly, after 3-5 weeks of treatment with methotrexate following a significant decrease in psoriasis severity, miR-223 and miR-143 were significantly downregulated in the PBMCs from patients with psoriasis. Conclusion: We suggest that changes in the miR-223 and miR-143 expressions in PBMCs from patients with psoriasis may serve as novel biomarkers for disease activity in psoriasis; however, further investigations are warranted to clarify their specific roles. In the present study, we compared the global miRNA expression profile between whole blood samples obtained from 24 patients with psoriasis (5 samples were excluded due to poor quality control) compared with 15 healthy controls.
2014-06-10 | E-GEOD-55515 | biostudies-arrayexpress
Project description:Background: Psoriasis is a systemic inflammatory skin disease. MicroRNAs (miRNAs) are a class of small non-coding RNA molecules that recently have been found in the blood to be relevant as disease biomarkers. Objective: We aimed to explore miRNAs potential as blood biomarkers for psoriasis. Methods: Using microarray and quantitative real-time PCR we measured the global miRNA expression in whole blood, plasma and peripheral blood mononuclear cells (PBMCs) from patients with psoriasis and healthy controls. Results: We identified several deregulated miRNAs in the blood from patients with psoriasis including miR-223 and miR-143 which were found to be significantly upregulated in the PBMCs from patients with psoriasis compared with healthy controls (FCH=1.63, P<0.01; FCH=2.18, P<0.01, respectively). In addition, miR-223 and miR-143 significantly correlated with the PASI score (r = 0.46, P<0.05; r=0.55, P<0.02, respectively). Receiver-operating characteristic analysis (ROC) showed that miR-223 and -143 have the potential to distinguish between psoriasis and healthy controls (miR-223: Area under the curve (AUC) = 0.80, miR-143: AUC = 0.75). Interestingly, after 3-5 weeks of treatment with methotrexate following a significant decrease in psoriasis severity, miR-223 and miR-143 were significantly downregulated in the PBMCs from patients with psoriasis. Conclusion: We suggest that changes in the miR-223 and miR-143 expressions in PBMCs from patients with psoriasis may serve as novel biomarkers for disease activity in psoriasis; however, further investigations are warranted to clarify their specific roles.
2014-06-10 | GSE55515 | GEO
Project description:FelixGarza2017 - Blue Light Treatment of
Psoriasis (simplified)
This model is described in the article:
A Dynamic Model for
Prediction of Psoriasis Management by Blue Light
Irradiation.
Félix Garza ZC, Liebmann J,
Born M, Hilbers PA, van Riel NA.
Front Physiol 2017; 8: 28
Abstract:
Clinical investigations prove that blue light irradiation
reduces the severity of psoriasis vulgaris. Nevertheless, the
mechanisms involved in the management of this condition remain
poorly defined. Despite the encouraging results of the clinical
studies, no clear guidelines are specified in the literature
for the irradiation scheme regime of blue light-based therapy
for psoriasis. We investigated the underlying mechanism of blue
light irradiation of psoriatic skin, and tested the hypothesis
that regulation of proliferation is a key process. We
implemented a mechanistic model of cellular epidermal dynamics
to analyze whether a temporary decrease of keratinocytes
hyper-proliferation can explain the outcome of phototherapy
with blue light. Our results suggest that the main effect of
blue light on keratinocytes impacts the proliferative cells.
They show that the decrease in the keratinocytes proliferative
capacity is sufficient to induce a transient decrease in the
severity of psoriasis. To study the impact of the therapeutic
regime on the efficacy of psoriasis treatment, we performed
simulations for different combinations of the treatment
parameters, i.e., length of treatment, fluence (also referred
to as dose), and intensity. These simulations indicate that
high efficacy is achieved by regimes with long duration and
high fluence levels, regardless of the chosen intensity. Our
modeling approach constitutes a framework for testing diverse
hypotheses on the underlying mechanism of blue light-based
phototherapy, and for designing effective strategies for the
treatment of psoriasis.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000695.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000695 | BioModels
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:Transcriptomic analysis of peripheral blood mononuclear cells (PBMC) in psoriasis patients treated with guselkumab
| PRJNA831443 | ENA
Project description:Generalized pustular psoriasis (GPP) is a severe disease featured by neutrophilic pustules and enhanced IL-36 inflammatory pathway in skin. Recently, a transcriptomic analysis of PBMCs and neutrophils in MPO-deficient GPP patients has been performed in stable disease state. However, transcriptomic profiling of PBMCs during acute flare of GPP is unclear. Here, we reported a predominant neutrophil signature in GPP PBMC and a marked increase in the CD66+CD16+ low-density neutrophils (LDNs) within the PBMC fraction of acute GPP patients. Transcriptomic and functional analysis of LDNs revealed a hypoinflammatory phenotype yet enhanced release of neutrophil granule proteases, implicating that LDNs might contribute to the IL-36-mediated inflammation in GPP patients.
2022-04-20 | GSE200977 | GEO
Project description:The polyphenol resveratrol has anti-inflammatory effects in various cells, tissues, animals and human settings of low-grade inflammation. Psoriasis is a disease of both localized and systemic low-grade inflammation. The Sirtuin1 enzyme thought to mediate the effects of resveratrol is present in skin and resveratrol is known to downregulate NF-κB; a major contributor in the development of psoriasis. Consequently we investigated whether resveratrol has an effect on an Imiquimod induced psoriasis-like skin inflammation in mice and sought to identify candidate genes, pathways and interleukins mediating the observed effects. The study consisted of three treatment groups: A control group, an Imiquimod group and an Imiquimod+resveratrol group. Psoriasis severity was assessed using elements of the Psoriasis Area Severity Index, actual skin thickness measurements, and histological examination. We performed an RNA microarray from lesional skin and afterwards Ingenuity pathway analysis to identify affected signalling pathways. Our microarray was compared to a previously deposited microarray to determine if gene changes were psoriasis-like, and to a human microarray to determine if findings could be relevant in a human setting. Imiquimod treatment induced a psoriasis-like skin inflammation. Resveratrol significantly diminished the severity of the psoriasis-like skin inflammation. The RNA microarray revealed a psoriasis-like gene expression-profile in the Imiquimod treated group, and highlighted several resveratrol dependent changes in relevant genes, such as increased expression of genes associated with retinoic acid stimulation and reduced expression of genes involved in IL-17 dependent pathways (e.g.IL-17A, IL-17F,IL-23p19 ). Quantitative PCR confirmed a resveratrol dependent decrease in mRNA levels of IL-17A and IL-19; both central in developing psoriasis. In conclusion, resveratrol ameliorates psoriasis, and changes in expression of retinoic acid stimulated genes, IL-17 signalling pathways, IL-17A and IL-19 mRNA levels in a beneficial manner suggests it might have a role in the treatment of psoriasis and should be explored further in a human setting.
2015-11-17 | GSE63684 | GEO
Project description:Psoriasis is a Tcell-mediated disease characterized by the chronic inflammation of skin. Gene expression analyses on skin biopsies and freshly isolated PBMCs have provided important insights into Psoriasis pathophysiology. In the present study we analyze, for the first time, the gene expression profile of in vitro activated T cells in Psoriasis compared to normal heatlhy controls. T cells from PBMCs isolated from patients and healthy controls were in vitro activated with anti-CD3 and anti-CD28 for 72 hours. After T cell activation, cells were harvested and RNA extracted for microarray analysis.
2013-12-02 | E-GEOD-47598 | biostudies-arrayexpress
Project description:Background: Psoriasis is a systemic inflammatory disease primarily affecting the skin. Approximately one-third of psoriasis patients develop joint involvement and are diagnosed with psoriatic arthritis (PsA). While, inIn adult-onset disease, adults, the development of arthritis usually follows skin psoriasis, but approximately 15% experience arthritis first, which can delay diagnosis. While the pathophysiology of psoriasis and PsA is incompletely understood, epigenetic dysregulation affecting CD4+ and CD8+ T-cells has been suggested. Objectives: This project aimed to identify disease-associated DNA methylation signatures in CD4+ T-cells from psoriasis and PsA patients that may be used as diagnostic and/or prognostic biomarkers. Methods: PBMCs were collected from 12 patients with chronic plaque skin psoriasis and 8 PsA patients, and 8 healthy controls. CD4+ T-cells were separated through FACS sorting, and DNA methylation profiling was performed (Illumina EPIC850K arrays). Bioinformatic analyses, including gene ontology (GO) and KEGG pathway analysis, were performed using R software. To identify genes under the control of interferon (IFN), the Interferome database was consulted, and DNA Methylation Scores were calculated. Results: Numbers and proportions of CD4+ T-cell subsets (naïve, central memory, effector memory, CD45RA re-expressing effector memory cells) did not vary between controls, skin psoriasis and PsA patients. 883 differentially methylated positions (DMPs) affecting 548 genes were identified between healthy controls and “all” psoriasis patients. Principal component and partial least-squares discriminant analysis separated controls from skin psoriasis and PsA patients. GO analysis considering promoter DMPs delivered hypermethylation of genes involved in “regulation of wound healing, spreading of epidermal cells”, “negative regulation of cell-substrate junction organization” and “negative regulation of focal adhesion assembly”. Comparing controls and “all” psoriasis, a majority of DMPs mapped to IFN-related genes (69.2%). Notably, DNA methylation profiles also distinguished skin psoriasis from PsA patients (2,949 DMPs/1,084 genes) through genes affecting “cAMP-dependent protein kinase inhibitor activity” and “cAMP-dependent protein kinase regulator activity” (GO analysis). Treatment with cytokine inhibitors (IL-17/TNF) corrected DNA methylation patterns of IL-17/TNF-associated genes, and methylation scores correlated with skin disease activity scores (PASI). Conclusion: DNA methylation profiles in CD4+ T-cells discriminate between skin psoriasis and PsA. DNA methylation signatures may be applied for quantification of disease activity and patient stratification towards individualized treatment. The aim of this study was to identify disease-associated DNA methylation signatures in CD4+ T-cells from patients with psoriasis and PsA that may be used as diagnostic and/or prognostic biomarkers to inform treatment and care.
2023-09-14 | GSE236694 | GEO
Project description:Background: Psoriasis is a systemic inflammatory disease primarily affecting the skin. Approximately one-third of psoriasis patients develop joint involvement and are diagnosed with psoriatic arthritis (PsA). While, inIn adult-onset disease, adults, the development of arthritis usually follows skin psoriasis, but approximately 15% experience arthritis first, which can delay diagnosis. While the pathophysiology of psoriasis and PsA is incompletely understood, epigenetic dysregulation affecting CD4+ and CD8+ T-cells has been suggested. Objectives: This project aimed to identify disease-associated DNA methylation signatures in CD4+ T-cells from psoriasis and PsA patients that may be used as diagnostic and/or prognostic biomarkers. Methods: PBMCs were collected from 12 patients with chronic plaque skin psoriasis and 8 PsA patients, and 8 healthy controls. CD4+ T-cells were separated through FACS sorting, and DNA methylation profiling was performed (Illumina EPIC850K arrays). Bioinformatic analyses, including gene ontology (GO) and KEGG pathway analysis, were performed using R software. To identify genes under the control of interferon (IFN), the Interferome database was consulted, and DNA Methylation Scores were calculated. Results: Numbers and proportions of CD4+ T-cell subsets (naïve, central memory, effector memory, CD45RA re-expressing effector memory cells) did not vary between controls, skin psoriasis and PsA patients. 883 differentially methylated positions (DMPs) affecting 548 genes were identified between healthy controls and “all” psoriasis patients. Principal component and partial least-squares discriminant analysis separated controls from skin psoriasis and PsA patients. GO analysis considering promoter DMPs delivered hypermethylation of genes involved in “regulation of wound healing, spreading of epidermal cells”, “negative regulation of cell-substrate junction organization” and “negative regulation of focal adhesion assembly”. Comparing controls and “all” psoriasis, a majority of DMPs mapped to IFN-related genes (69.2%). Notably, DNA methylation profiles also distinguished skin psoriasis from PsA patients (2,949 DMPs/1,084 genes) through genes affecting “cAMP-dependent protein kinase inhibitor activity” and “cAMP-dependent protein kinase regulator activity” (GO analysis). Treatment with cytokine inhibitors (IL-17/TNF) corrected DNA methylation patterns of IL-17/TNF-associated genes, and methylation scores correlated with skin disease activity scores (PASI). Conclusion: DNA methylation profiles in CD4+ T-cells discriminate between skin psoriasis and PsA. DNA methylation signatures may be applied for quantification of disease activity and patient stratification towards individualized treatment. The aim of this study was to identify disease-associated DNA methylation signatures in CD4+ T-cells from patients with psoriasis and PsA that may be used as diagnostic and/or prognostic biomarkers to inform treatment and care.
2023-09-14 | GSE236695 | GEO