Project description:Gene expression in peripheral blood is shown sufficient to differentiate patients with metabolic disorders from control. The signatures of metabolic syndrome, coronary artery disease and type 2 diabetes also have significant overlap. Microarrays were performed on 35 subjects in the following groups: control (n=9), rheumatoid arthritis (n=6), metabolic syndrome (n= 6), coronary artery disease (n=6) and type 2 diabetes (n=8). Intensity values for each array were normalized to a sum of 10,000.
Project description:Gene expression in peripheral blood is shown sufficient to differentiate patients with metabolic disorders from control. The signatures of metabolic syndrome, coronary artery disease and type 2 diabetes also have significant overlap.
Project description:To gain insight into the relationship between circulating monocytes and cardiovascular risk (CV) progression in patients with type 2 diabetes (T2D), we collected blood monocytes (CD14 positive selection) from 92 people with type 2 diabetes and coronary artery calcium score (CAC-score). Gene expression profiles of circulating monocytes were assessed by RNA sequencing.
Project description:Coronary artery disease (CAD) is a common complication of Type 2 diabetes mellitus (T2DM). Understanding the pathogenesis of this complication is essential in both diagnosis and management. Thus, this study aimed to characterize the presence of CAD in T2DM using molecular markers and pathway analyses. Total RNA from peripheral blood mononuclear cells (PBMCs) underwent whole transcriptomic profiling using the Illumina HumanHT-12 v4.0 expression beadchip. Differential gene expression with gene ontogeny analyses was performed, with supporting correlational analyses using weighted correlation network analysis (WGCNA)
Project description:We aimed to clarify the possible functional role of hsa_circ_0000563 in coronary artery disease. Therefore, the ChIRP-MS was conducted to explore the interaction between BTBD7_hsa_circ_0000563 and proteins on a genomic scale in human peripheral blood mononuclear cell (PBMC). This project is the raw files of the proteins bound to hsa_circ_0000563 found by ChIRP-MS in PBMC.
Project description:In this study we analyzed the gene expression profiles of human monocytes and monocyte-dervied-macrophages. Keywords: Gene expression profiling Blood samples were obtained from 86 patients with symptoms of acute coronary syndrome who had undergone coronary angiography at the department of cardiology of the Pitié-Salpêtrière Hospital, Paris and who had on stenosis > 50 % diagnosed in at least one major coronary artery. 48 monocyte and 48 macrophage samples (38 pools of 2 samples and 10 individual samples for each type of RNA) were hybridized to the RNG/MRC platform.
Project description:This SuperSeries is composed of the following subset Series: GSE20680: Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the Cathgen Registry GSE20681: Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the PREDICT Trial Refer to individual Series
Project description:This trial will determine the clinical effectiveness of polygenic risk score testing among patients at high genetic risk for at least one of six diseases (coronary artery disease, atrial fibrillation, type 2 diabetes mellitus, colorectal cancer, breast cancer, or prostate cancer), measured by time-to-diagnosis of prevalent or incident disease over 24 months.
Project description:using peripheral blood monocytes to identify marker genes for an extensively grown coronary collateral circulation. We used microarrays to detail the global programme of gene expression underlying collateralization and identified distinct classes of differently regulated genes during this process. Experiment Overall Design: Collateral flow index (CFI) was obtained invasively by angioplasty pressure sensor guidewire, a group of patients with coronary artery disease CAD and a group without CAD were selected for peripheral monocyte isolation, RNA extraction and hybridization on Affymetrix microarrays.
