Ontology highlight
ABSTRACT:
PROVIDER: PRJNA873144 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Durable psoriasis improvement has been reported in a subset of psoriasis patients after treatment withdrawal of biologics blocking IL-23/Type 17 T-cell (T17) autoimmune axis. However, it is not well understood if systemic blockade of the IL-23/T17 axis promotes immune tolerance in psoriasis skin. The purpose of the study was to find translational evidence that systemic IL-17A blockade promotes regulatory transcriptome modification in human psoriasis skin immune cell subsets. We analyzed human psoriasis lesional skin 6 mm punch biopsy tissues before and after systemic IL-17A blockade using the muti-genomics approach integrating immune cell-enriched scRNA-seq (n = 18), microarray (n = 61), and immunohistochemistry (n = 61) with repository normal control skin immune cell-enriched scRNA-seq (n = 10) and microarray (n = 8) data. For the T17 axis transcriptome, systemic IL-17A blockade depleted 100% of IL17A + T-cells and 95% of IL17F + T-cells in psoriasis skin. The expression of IL23A in DC subsets was also downregulated by IL-17A blockade. The expression of IL-17-driven inflammatory mediators (IL36G, S100A8, DEFB4A, and DEFB4B) in suprabasal keratinocytes was correlated with psoriasis severity and was downregulated by IL-17A blockade. For the regulatory DC transcriptome, the proportion of regulatory semimature DCs expressing regulatory DC markers of BDCA-3 (THBD) and DCIR (CLEC4A) was increased in posttreatment psoriasis lesional skin compared to pretreatment psoriasis lesional skin. In addition, IL-17A blockade induced higher expression of CD1C and CD14, which are markers of CD1c+ CD14+ dendritic cell (DC) subset that suppresses antigen-specific T-cell responses, in posttreatment regulatory semimature DCs compared to pretreatment regulatory semimature DCs. In conclusion, systemic IL-17A inhibition not only blocks the entire IL-23/T17 cell axis but also promotes regulatory gene expression in regulatory DCs in human psoriasis skin.
2023-09-04 | GSE183047 | GEO
Project description:In psoriasis lesions, a diverse mixture of cytokines is upregulated which influence each other generating a complex inflammatory situation. Although this is the case, the inhibition of Interleukin-17A (IL-17A) alone showed unprecedented clinical results in patients, indicating that IL-17A is a critical inducer of psoriasis pathogenesis. To elucidate IL-17A-driven keratinocyte-intrinsic signaling pathways, we treated monolayers of normal human epidermal keratinocytes in vitro with a mixture of 6 cytokines (IL-17A, TNF-a, IL-17C, IL-22, IL-36g and IFN-g) involved in psoriasis, to mimic the inflammatory milieu in psoriasis lesions. Microarray and gene set enrichment analysis revealed that this cytokine mixture induced similar gene expression changes with the previous transcriptome studies using psoriasis lesions. Importantly, we identified a set of IL-17A-regulated genes in keratinocytes, which recapitulate typical psoriasis genes exemplified by DEFB4A, S100A7, IL19 and CSF3, based on differences in the expression profiles of cells stimulated with 6 cytokines versus cells stimulated with only 5 cytokines lacking IL-17A. Furthermore a specific IL-17A-induced gene, NFKBIZ, which encodes IkappaB-zeta, a transcriptional regulator for NF-kappaB, was demonstrated to have a significant role for IL-17A-induced gene expression. Thus, we present novel in vitro data from normal human keratinocytes that would help elucidating the IL-17A-driven keratinocyte activation in psoriasis. Cytokine mixture-induced gene expression in primary normal human epidermal keratinocytes (NHEKs) was measured at 24 hours after exposure. NHEKs were exposed to the combination of selected six cytokines (IL-17A: 100 ng/ml, TNF-a: 10 ng/ml, IFN-g: 10 ng/ml, IL-17C: 100 ng/ml, IL-22: 100 ng/ml, IL-36g: 500 ng/ml) , or to the different combinations of five of the six cytokines (in total, 7 different treatments and one untreated control). No replicate experiments were conducted.
2016-03-08 | E-GEOD-77719 | biostudies-arrayexpress
Project description:The IL-23/IL-17 immune axis is of central importance in psoriasis. However, the contribution of IL-17 family cytokines other than IL-17A to drive skin inflammation in psoriasis has not been fully established. To further elucidate the role of individual IL-17 family cytokines in psoriasis, we investigated their expression and localization in psoriasis skin at the mRNA and protein level. Moreover, we investigated the gene expression signatures induced by individual IL-17 family cytokines in human skin ex vivo as well as modulation of responses induced by the combination of IL-17 family cytokines in human keratinocytes by brodalumab, a human monoclonal antibody targeting the IL-17RA, versus the IL-17A blocking antibody ixekizumab. We demonstrate that IL-17A, IL-17AF, IL-17F and IL-17C are expressed at increased levels in psoriasis lesional skin and induce inflammatory gene expression signatures in human skin ex vivo that correlate with those observed in psoriasis. Furthermore, we show that brodalumab, in contrast to ixekizumab, fully blocks gene expression responses induced by the combination of IL-17A, IL-17AF, IL-17F and IL-17C in human keratinocytes. These findings suggest that inhibition of several IL-17 family cytokines, e.g. by targeting of the IL-17RA receptor, could be a favored mechanism to obtain a profound suppression of the inflammatory processes in psoriasis and thereby achieve high levels of skin clearance and sustained efficacy in patients with psoriasis.
2021-04-07 | GSE158448 | GEO
Project description:Psoriasis is a common chronic inflammatory skin disease where IκBζ is known to play an important role by mediating IL-17A-driven effects. However, the molecular mechanism by which IL-17A regulates IκBζ expression is not known. We assessed global gene expression by microarray analysis to explore the molecular transformation in skin samples from psoriatic patients during anti-IL-17A (secukinumab) treatment.
2021-03-26 | GSE137218 | GEO
Project description:CaMK4 has an important function in autoimmune diseases, and the contribution of CaMK4 in psoriasis remains obscure. Here, we show that CaMK4 expression is significantly increased in psoriatic lesional skin from psoriasis patients compared to healthy human skin as well as inflamed skin from an imiquimod (IMQ)-induced mouse model of psoriasis compared to healthy mouse skin. Camk4-deficient (Camk4−/−) mice treated with IMQ exhibit reduced severity of psoriasis compared to wild-type (WT) mice. There are more macrophages and fewer IL-17A+γδ TCR+ cells in the skin of IMQ-treated Camk4−/− mice compared to IMQ-treated WT mice. CaMK4 inhibits IL-10 production by macrophages, thus allowing excessive psoriatic inflammation. Deletion of Camk4 in macrophages alleviates IMQ-induced psoriatic inflammation in mice. In keratinocytes, CaMK4 inhibits apoptosis as well as promotes cell proliferation and the expression of pro-inflammatory genes such as S100A8 and CAMP. Taken together, these data indicate that CaMK4 regulates IMQ-induced psoriasis by sustaining inflammation and provides a potential target for psoriasis treatment.
2022-05-28 | GSE204832 | GEO
Project description:In psoriasis lesions, a diverse mixture of cytokines is upregulated which influence each other generating a complex inflammatory situation. Although this is the case, the inhibition of Interleukin-17A (IL-17A) alone showed unprecedented clinical results in patients, indicating that IL-17A is a critical inducer of psoriasis pathogenesis. To elucidate IL-17A-driven keratinocyte-intrinsic signaling pathways, we treated monolayers of normal human epidermal keratinocytes in vitro with a mixture of 6 cytokines (IL-17A, TNF-a, IL-17C, IL-22, IL-36g and IFN-g) involved in psoriasis, to mimic the inflammatory milieu in psoriasis lesions. Microarray and gene set enrichment analysis revealed that this cytokine mixture induced similar gene expression changes with the previous transcriptome studies using psoriasis lesions. Importantly, we identified a set of IL-17A-regulated genes in keratinocytes, which recapitulate typical psoriasis genes exemplified by DEFB4A, S100A7, IL19 and CSF3, based on differences in the expression profiles of cells stimulated with 6 cytokines versus cells stimulated with only 5 cytokines lacking IL-17A. Furthermore a specific IL-17A-induced gene, NFKBIZ, which encodes IkappaB-zeta, a transcriptional regulator for NF-kappaB, was demonstrated to have a significant role for IL-17A-induced gene expression. Thus, we present novel in vitro data from normal human keratinocytes that would help elucidating the IL-17A-driven keratinocyte activation in psoriasis.
2016-03-08 | GSE77719 | GEO
Project description:HSP90 is a downstream regulator of TNFα and IL-17A signaling and may therefore serve as a novel target in the treatment of psoriasis. We assessed global gene expression by microarray analysis to explore the molecular transformation in skin samples from psoriatic patients during treatment with the HSP90 inhibitor RGRN-305.
2022-01-10 | GSE193128 | GEO
Project description:Psoriasis is a common chronic inflammatory skin disease where IκBζ is known to play an important role by mediating IL-17A-driven effects. However, the molecular mechanism by which IL-17A regulates IκBζ expression is not known. We assessed global gene expression my microarray analysis to explore the molecular transformation in blood samples from psoriatic patients during anti-IL-17A (secukinumab) treatment.
2021-03-26 | GSE137220 | GEO
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:To delineate mechanisms for psoriasis pathogenesis driven by the interleukin-17A, proteomic dysregulations were studied in a Human Primary Keratinocyte model system. Label-free quantification was performed and fold-changes were obtained for abundances of proteins in IL-17A treated keratinocytes versus those from IL-17A treated keratinocytes.
Briefly, Human Primary Keratinocytes were isolated and treated with the cytokine IL-17A (50ng/ml) in incomplete media devoid of any growth factors. Tryptic digested and desalted peptide samples were injected in Thermoscientific Q-Exactive Plus instruments through EasyNLC HPLC autosampler. The instruments were set to MS1 resolution of 70000 and MS2 resolution of 17500. The acquisition experiments were optimized to run on 120 min gradients.
The MS spectra were analyzed using the Thermoscientific mass informatics platform Proteome discoverer version 2.2. The common workflows for discovery proteomics were used with Mascot and SequestHT as search engines.
This dataset helped to simulate the IL-17A-driven inflammation in keratinocytes and uncovered many putative druggable targets in the context of psoriasis.
2022-08-11 | MSV000090116 | MassIVE