LncRNAs Landscape in the patients of primary gout by Microarray Analysis
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ABSTRACT:
PROVIDER: PRJNA672168 | ENA |
REPOSITORIES: ENA
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Project description:To determine the expression profile and clinical significance of long non-coding RNAs (lncRNAs) in peripheral blood mononuclear cells (PBMCs) of patients with primary gout and healthy control subjects. Human lncRNA microarrays were used to identify the differentially expressed lncRNAs and mRNAs in primary gout (n=6) and healthy subjects (n=6). Bioinformatics analyses were performed to predict the roles of differently expressed lncRNAs and mRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was applied to validate the results in 64 gout patients, and 32 healthy control subjects (HC). The microarray analysis identified 1479 differentially expressed lncRNAs (879 up-regulated and 600 down-regulated), 862 differentially expressed mRNAs (390 up-regulated and 472 down-regulated) in primary gout (fold change>2, P<0.05), respectively. The bioinformatic analysis indicated that the differentially expressed lncRNAs regulated the abnormally expressed mRNAs, which were involved in the pathogenesis of gout through several different pathways. Significant association was observed between these lncRNAs and the Clinical inflammation indicators and lipid metabolism indicators. Our results provide novel insight into the mechanisms of primary gout, and reveal that ENST00000566457 and NR-026756 could effectively discriminate the gout group and the healthy control groups.
2020-11-03 | GSE160170 | GEO
Project description:To determine the expression profile and clinical significance of long non-coding RNAs (lncRNAs) in peripheral blood mononuclear cells (PBMCs) of patients with primary gout and healthy control subjects. Human lncRNA microarrays were used to identify the differentially expressed lncRNAs and mRNAs in primary gout patients (n = 6) and healthy control subjects (n = 6). Bioinformatics analyses were performed to predict the roles of differently expressed lncRNAs and mRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to detect the expression levels of 8 lnRNAs in 64 primary gout patients and 32 healthy control subjects. Spearman's correlation was used to analyze the correlation between these eight lncRNAs and the laboratory values of gout patients. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic value of the lncRNAs identified in gout. The microarray analysis identified 1479 differentially expressed lncRNAs (879 more highly expressed and 600 more lowly expressed), 862 differentially expressed mRNAs (390 more highly expressed and 472 more lowly expressed) in primary gout (fold change > 2, P < 0.05), respectively. The bioinformatic analysis indicated that the differentially expressed lncRNAs regulated the abnormally expressed mRNAs, which were involved in the pathogenesis of gout through several different pathways. The expression levels of TCONS_00004393 and ENST00000566457 were significantly increased in the acute gout flare group than those in the intercritical gout group or healthy subjects (P<0.01). Moreover, inflammation indicators were positive correlated with TCONS_00004393 and ENST00000566457 expression levels. The areas under the ROC curve of ENST00000566457 and NR-026756 were 0.868 and 0.948, respectively. Our results provide novel insight into the mechanisms of primary gout, and reveal that TCONS_00004393 and ENST00000566457 might be as candidate targets for the treatment of gout flare; ENST00000566457 and NR-026756 could effectively discriminate between the gout and the healthy control groups.
| S-EPMC7891695 | biostudies-literature
Project description:To determine the expression profile and clinical significance of circular RNAs (circRNAs) in peripheral blood mononuclear cells (PBMCs) of patients with primary gout and healthy control subjects. Human circRNA microarrays were used to identify the differentially expressed circRNAs in primary gout (Gout, n = 5) and healthy subjects (HC, n = 3). Bioinformatics analyses were performed to predict the roles of differently expressed circRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was applied to validate the results in 90 gout patients, and 60 healthy control subjects (HC). Microarray analysis indicated that 238 circRNAs were up-regulated and 41 circRNAs were down-regulated in the Gout group (Fold change>1.5, p-value<0.05). Bioinformatics analysis showed that differentially expressed circRNAs were involved in the pathogenesis of gout through a variety of different pathways. Significant association was observed between these circRNAs and lipid metabolism indicators. Our results provide novel insight into the mechanisms of primary gout, and reveal that hsa_circRNA_103657 could effectively discriminate the gout group and the healthy control groups.
2021-06-25 | GSE178825 | GEO
Project description:As a prominent feature of gout, monosodium urate (MSU) crystal deposition can induce gout flare, yet its impact on blood immune in gout remission patients still remains unclear. In this study, single-cell RNA sequencing (scRNA-seq) is used to compare the gene expression profiling of peripheral blood mononuclear cells (PBMCs) among intercritical gout remission patients, advanced gout remission patients and healthy volunteers. The increase of HLA-DQA1high classical monocytes, and their important role in immune inflammatory responses and osteoclast differentiation are discovered in advanced gout remission patients. Moreover, the differentiation level of CD8+T cells are found to elevate in advanced gout remission patients, which is further validated via flow cytometry. It is also observed that pathways related to bone metabolism and inflammatory responses are overactive in advanced gout remission patients. By analysis on intercellular communication network, immune-related cell-cell interactions among PBMCs are shown to enhance in both intercritical and advanced gout remission patients. The analyses on gene expression and LC-MS/MS together indicate the increased metabolic level of arachidonic acid in gout remission patients with MSU deposition at the intercritical and advanced stage. The study reveals distinctive blood immune characteristics in gout remission with MSU deposition, which provides more sights into its pathogenesis.
2023-06-01 | GSE217561 | GEO
Project description:Gout typically presents as an acute, self-limiting inflammatory monoarthritis. Based on single-cell RNA sequencing (scRNA-seq), we profiled peripheral blood mononuclear cells (PBMCs) from the same patients with gout flare and gout remission We identified the dynamics of cell abundance, gene expression patterns and biological processes underlying the immune dysregulation of each cell compartment. The single-cell landscape of both innate and adaptive immune responses provides new insights into pathogenesis and therapy of gout flare.
2023-01-01 | GSE211783 | GEO
Project description:Gout is a prevalent and painful inflammatory arthritis, and its global burden continues to rise. Intense pain induced by gout attacks is a major complication of gout. Treatment and long-term management for gout patients remain challenging. Despite the discovery of many key immune response and inflammatory genes and pathways in gout, the molecular mechanisms of gout inflammation are still not entirely elucidated. Particularly, systematic studies of gout inflammation and pain are lacking. Using a monosodium urate (MSU) crystals-induced gout model, we performed genome-wide transcriptome analysis for the ankle joint, dorsal root ganglion (DRG), and spinal cord of gout mice. Our results revealed transcriptional changes in both the joint and the nervous system. Furthermore, through integrated analysis with public datasets of mouse inflammatory pain and neuropathic pain models, human GWAS, osteoarthritis (OA), and rheumatoid arthritis (RA), we identified common and unique features associated with acute gout inflammation and severe pain.
2022-06-24 | GSE190138 | GEO
Project description:Gout is a common inflammatory arthritis caused by precipitation of monosodium urate (MSU) crystals in individuals with hyperuricemia. Acute flares are accompanied by secretion of pro-inflammatory cytokines, including interleukin-1 beta (IL-1B). Clonal hematopoiesis of indeterminate potential (CHIP) is an age-related condition predisposing to hematologic cancers and cardiovascular disease. CHIP is associated with elevated IL-1B, thus we investigated CHIP as a risk factor for gout. To test the clinical association between CHIP and gout, we analyzed whole exome sequencing data from 177,824 individuals in the MGB Biobank (MGBB) and UK Biobank (UKB). In both cohorts, the frequency of gout was higher among individuals with CHIP than without CHIP (MGBB, CHIP with variant allele fraction [VAF] ≥2%: OR, 1.69; 95% CI, 1.09-2.61; P=0.0189; UKB, CHIP with VAF ≥10%: OR, 1.25; 95% CI, 1.05-1.50; P=0.0133). Moreover, individuals with CHIP and a VAF ≥10% had an increased risk of incident gout (UKB: HR, 1.28; 95% CI, 1.06-1.55; P=0.0107). In murine models of gout pathogenesis, animals with Tet2 knockout hematopoietic cells had exaggerated IL-1B secretion and paw edema upon administration of MSU crystals. Tet2 knockout macrophages elaborated higher levels of IL-1B in response to MSU crystals in vitro, and this was ameliorated through genetic and pharmacologic Nlrp3 inflammasome inhibition. These studies show that TET2-mutant CHIP is associated with an increased risk of gout in humans and that MSU crystals lead to elevated IL-1B levels in Tet2 knockout murine models. We identify CHIP as an amplifier of NLRP3-dependent inflammatory responses to MSU crystals in gout patients.
2022-06-14 | GSE205963 | GEO
Project description:Translational landscape of Xrn1-sensitive lncRNAs in yeast
| PRJNA839351 | ENA
Project description:To define the translational landscape of Xrn1-sensitive lncRNAs in yeast, we performed Ribo-Seq in WT and upf1 mutant cells, in native conditions or upon treatment with translation elongation inhibitor (cycloheximide).
2024-02-20 | GSE203278 | GEO
Project description:Microarray profiling analysis of lncRNAs expression in glioma cells
| PRJNA604907 | ENA