Differential gene expression profiles by septin 2 suppression and TNF-a treatment in human microvascular endothelial cells
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE159894 | GEO | 2020/10/23
REPOSITORIES: GEO
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Project description:Differential gene expression profiles by septin 2 suppression and TNF-a treatment in human microvascular endothelial cells
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Project description:The success of TNF inhibitors for treatment of psoriasis and other inflammatory diseases was previously attributed to blockade of innate immunity. In a clinical trial using etanercept TNF blocking agent to treat psoriasis vulgaris, we used affymetrix gene arrays to analyze broad gene profiles in lesional skin at multiple timepoints during drug treatment (baseline, and weeks 1, 2, 4 and 12) compared to non-lesional skin. This analysis created a temporal model of TNF-dependent gene regulation that informs molecular mechanisms of TNF-mediated inflammation. We identified four gene clusters that were differentially down-modulated during etanercept treatment: the cluster down-regulated most rapidly contained mostly dendritic cell activation genes. Culturing human keratinocytes with TNF, IFNg and IL-17 generated a list of keratinocyte genes regulated by each cytokine. The IL-17 pathway genes were strongly down-modulated early, whereas IFNg pathway genes were not down-modulated until final disease resolution at week 12. Finally, we show that TNF blockade rapidly inhibits IL-12/IL-23 p40 subunit expression, and that p40 neutralization inhibits psoriatic dermal émigré-mediated Th17 polarization. We hypothesize that etanercept inhibits myeloid dendritic cell production of IL-23, a Th17 survival cytokine, resulting in rapid downregulation of IL-17 pathway genes. This data links effects of TNF blockade on the innate immune system with the adaptive immune system. Keywords: time-course experiment
2009-10-30 | GSE11903 | GEO
Project description:Additive effects of TNF and IL-6 were evaluated in cell-based model for rheumatoid arthritis (RA) and then compared to treatment with anti-TNF/IL-6 NANOBODY® VHH, Humira and Sylvant by RNA-seq
2022-12-31 | GSE200291 | GEO
Project description:MCJ deficient mice respond to anti-TNF treatment
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Project description:Determination of absolute abundance of TNF-RSC members in the isolated TNF-RSC.
2022-10-13 | PXD019879 | Pride
Project description:The purpose of this study was (1) to identify novel genes involved in the pathogenesis of Rheumatoid Arthritis (RA) disease, which may provide additional targets for therapeutic intervention and (2) to examine the molecular mechanisms associated with the response to anti-TNF treatment. Microarray analysis of LPS-stimulated whole blood from RA patients pre and post anti-TNF treatment was conducted. This study identified 818 transcripts, differentially expressed in RA patients pre-treatment compared to non-RA control samples. While a number of these genes were associated with RA in previous studies, validating our data, a number of novel genes with possible functions in RA disease were also identified. The number of transcripts (1051) significantly altered post anti-TNF treatment indicates the impact of anti-TNF therapy on systemic gene expression. A number of these transcripts were confirmed to be altered in a larger patient group and may represent potential genetic markers of a patient’s clinical response to anti-TNF treatment. Keywords: Expression profiling in RA disease pre and post anti-TNF treatment
2007-07-07 | GSE7524 | GEO
Project description:G-protein coupled receptors (GPCRs) have diverse roles in physiological processes, including immunity. Gs-coupled GPCRs increase while Gi-coupled ones decrease intracellular cAMP. Previous studies suggest that, in epithelial cells, Gs-coupled GPCRs enhance whereas Gi-coupled GPCRs suppress pro-inflammatory immune responses. In order to examine the issue, we chose beta2 adrenergic receptor and GPR40 as representatives of Gs- and Gi- coupled GPCRs, respectively, and examined their effects on TNF-alpha and IFN-gamma-(TNF-alpha + IFN-gamma) induced gene expression by HaCaT. We used microarrays to detail the global changes of gene expression induced by a beta2 adrenergic receptor agonist terbutaline or GPR40 agonist GW9508 pre-treatment in TNF-alpha + IFN-gamma - stimulated HaCaT cells. HaCaT cells were pre-treated with terbutaline or GW9508, TNF-alpha + IFN-gamma were then added, and cultured for another 24 h. Cells were then used for RNA extraction and hybridization on Affymetrix microarrays. We sought to clarify changes in gene expression after 1) TNF-alpha + IFN-gamma, 2) TNF-alpha + IFN-gamma + terbutaline, and 3) TNF-alpha + IFN-gamma + GW9508 treatment. To this end, we set 4 groups of samples; 1) unstimulated group, 2) TNF-alpha + IFN-gamma-stimulated group, 3) TNF-alpha + IFN-gamma + terbutaline-stimulated group, and 4) TNF-alpha + IFN-gamma + GW9508-stimulated group. In each group, HaCaT cells were stimulated in triplicate wells (n=3).
2010-12-01 | E-GEOD-20297 | biostudies-arrayexpress
Project description:Here we have analyzed the role of interferon regulatory factor-2 binding protein-2 (IRF2BP2) in glucocorticoid and tumor necrosis factor alpha (TNF) signaling. We used ChIP-seq to analyze chromatin binding of IRF2BP2 in glucocorticoid (dexamethasone, dex) and vehicle treated HEK293 cells expressing GR (HEK293-GR). Furthermore, we used RNA-seq to analyze how silencing of IRF2BP2 modulates transcriptional responses to dex treatment in HEK293-GR cells, and dex, TNF and co-treatment (dex and TNF, DT) in A549 cells.
2019-06-03 | GSE124636 | GEO
Project description:Objectives: This study was undertaken to understand the mechanistic basis of response to anti-TNF therapies and determine if transcriptomic changes in the synovium are reflected in peripheral protein markers. Methods: Synovial tissue from 46 RA patients was profiled with RNA sequencing before and 12 weeks after treatment with anti-TNF therapies. Pathway and gene signature analyses were performed on RNA expression profiles of synovial biopsies to identify mechanisms that could discriminate among EULAR good, moderate and non-responders. Serum proteins encoded by synovial genes differentially expressed between EULAR response groups were measured in the same patients. Results: The gene signatures were able to predict good responder patients and pathway analysis identified elevations in immune pathways including chemokine signaling, Th1 and Th2 cell differentiation, and Toll-like receptor signaling uniquely in good responders. These inflammatory pathways were correspondingly down-modulated by anti-TNF therapy only in good responders. Based on cell signature analysis, lymphocyte, myeloid and fibroblast cell populations were elevated in good responders relative to non-responders, consistent with the increased inflammatory pathways. Cell signatures which decreased following anti-TNF treatment were predominately associated with lymphocytes and fewer were associated with myeloid and fibroblast populations. Following anti-TNF treatment and only in good responders, several peripheral inflammatory proteins decreased consistent with corresponding synovial gene changes. Conclusions: Collectively, these data suggest that RA patients with robust responses to anti-TNF therapies are characterized at baseline by immune pathway activation, which decreases following anti-TNF treatment. Understanding mechanisms that define patient responsiveness to anti-TNF may assist in development of predictive markers of patient response and earlier treatment options.
2022-06-06 | GSE198520 | GEO
Project description:A major unmet need in rheumatoid arthritis (RA) is the choice of treatment options for patients with an inadequate response to anti-TNF agents (anti-TNF–IR). In order to identify pharmacodynamic biomarkers and assess differential effects of TNF- and non–TNF-targeting agents on RA patients with an inadequate response to anti-TNF–IR in comparison with biologic-naïve patients, peripheral protein markers and gene expression levels in association with clinical response posttreatment in two disease strata were assessed in disease-modifying antirheumatic drug (DMARD)-IR and anti-TNF-IR patients. Serum proteomics results indicated the existence of specific pharmacodynamic markers for golimumab and mavrilimumab, regardless of prior anti-TNF treatment. In contrast, both antibodies induced early and sustained suppression of RA disease markers, including IL-6, CRP, IL2RA, and MMP1, in DMARD-IR patients. Golimumab-induced early changes rapidly returned toward baseline concentrations in anti-TNF–IR patients, whereas mavrilimumab-induced changes were maintained through Day 169. RNA sequencing demonstrated gene expression changes at Day 169 after administration of mavrilimumab but not golimumab in anti-TNF–IR patients. Additionally, receiver operating characteristic curve and regression analysis showed the association of early IL-6 change and subsequent clinical responses to golimumab in anti-TNF-IR patients. Our results revealed golimumab- and mavrilimumab-specific pharmacodynamic biomarkers, and demonstrated differential biomarker-treatment relationships in anti-TNF–IR and DMARD-IR patients respectively. Early IL-6 change after anti-TNF antibody treatment may be a potential predictive biomarker for selection of different treatment regimens in anti-TNF-IR patients.
2019-06-13 | GSE120178 | GEO