Incipient diabetic retinopathy - Early regulation of genes
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ABSTRACT:
PROVIDER: PRJNA437119 | ENA |
REPOSITORIES: ENA
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Project description:The development of diabetic retinopathy is well characterized on a histological level. Early vascular alterations involve the loss of pericytes. Earlier mechanisms leading to the phenotype of diabetic retinopathy, which involves the complete neurovascular unit, are not yet fully understood. The gene expression data presented here is derived from microarrays and gives further insights into early genetic regulation in incipient diabetic retinopathy.
2019-01-17 | GSE111465 | GEO
Project description:To investigate the possibilities of circulating exosomal miRNAs in the early screening and prevention of diabetic retinopathy(DR), and to explore how the exosomal miRNAs functioning in DR. We then performed gene expression profiling analysis using data obtained from small RNA-seq of 3 diabetes mellitus(DM) patients and 3 DR patients.
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Project description:Role of Circulating Exosomal miRNAs in early diabetic retinopathy
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Project description:The goal of the study was to identify genes whose aberrant expression can contribute to diabetic retinopathy. We determined differential response in gene expression to high glucose in lymphoblastoid cell lines derived from matched type 1 diabetic individuals with and without retinopathy. Those genes exhibiting the largest difference in glucose response between diabetic subjects with and without retinopathy were assessed for association to diabetic retinopathy utilizing genotype data from a meta-genome-wide association study. All genetic variants associated with gene expression (expression QTLs; eQTLs) of the glucose response genes were tested for association with diabetic retinopathy. We detected an enrichment of the glucose response gene eQTLs among small association p-values for diabetic retinopathy. Among these, we identified FLCN as a susceptibility gene for diabetic retinopathy. Expression of FLCN in response to glucose is greater in individuals with diabetic retinopathy compared to diabetic individuals without retinopathy. Three large, independent cohorts of diabetic individuals revealed an enhanced association of FLCN eQTL to diabetic retinopathy. Mendelian randomization confirmed a direct positive effect of increased FLCN expression on retinopathy in diabetic individuals. Together, our studies integrating genetic association and gene expression implicate FLCN as a disease gene in diabetic retinopathy.
2020-03-10 | GSE146615 | GEO
Project description:To compare the circRNA expression profile of diabetic retinopathy with that of diabetes mellitus and controls, peripheral blood mononuclear cell samples were obtained and extracted from healthy controls and diabetes mellitus patients (with or without diabetic retinopathy). CircRNA Capital Bio Technology Human CircRNA Array v2 was performed to detect circRNA expression profiles. To further check differentiate circRNA, qRT_PCR assay was performed to detect the level of 5 candidates.
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Project description:Diabetic nephropathy and diabetic retinopathy are related. We used scRNA-seq and RNA-seq to analyze the cellular linkage between them.
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Project description:Identification of tear fluid biomarkers may offer a non-invasive strategy for detecting diabetic patients with increased risk of developing diabetic retinopathy (DR) or increased disease progression, thus helping both improving diagnostic accuracy and understanding the pathophysiology of the disease. The goal of this study was to characterize the proteomic profile of human tear fluid and examine changes in proteins expression in different stages of diabetic retinopathy.
2022-05-31 | PXD033101 | Pride
Project description:In diabetic retinopathy (DR), a blinding disease, retinal microglia-induced inflammatory responses precede microangiopathy. However, the binary concept of microglial M1/M2 polarization paradigms during inflammatory activation has been debated. In this study, we confirmed microglia had the most significant changes in early DR using single-cell RNA sequencing. Besides, at cellular level three new microglial subtypes were defined, including two M1 types (Egr2+ M1 and Egr2- M1) and one M2 type. We also revealed the anatomical locations, different activation orders, mutual activation regulation mechanisms and dynamic changes in polarization phenotypes between these subtypes. Furthermore, we constructed an inflammatory network involving microglia, blood-derived macrophages and other retinal nonneuronal cells. The targeted study of new disease-specific microglial subtypes can shorten the time for drug screening and clinical application, which provided insight for the early control and reversal of DR.
2022-11-25 | GSE209872 | GEO
Project description:To understand the association between systemic factors and the diabetic retinopathy, blood samples were collected in 50 healthy controls, 74 diabetic patients without diabetic retinopathy (DM group), and 69 diabetic retinopathy (DR Group). T1DM and T2DM in this study was based on the diagnostic criteria for diabetes proposed by the WHO in 1999. The diagnosis of DR was based on the international clinical classification of DR proposed at the 2002 International Ophthalmology Conference. We then performed gene expression profiling analysis using data obtained from RNA-seq of three patient groups.
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Project description:The mammalian retina contains an endogenous circadian clock system, located in various cell types. This system enables timing of a broad range of essential retinal functions to anticipate daily changes in environmental lighting conditions. Furthermore, the circadian clocks appear to promote retinal health. A leading cause of blindness in developed countries is diabetic retinopathy. While it is clear that diabetes affects the master clock and its circadian output in the SCN, the effect of diabetic retinopathy on the retinal clock system is unknown. To investigate the influence of diabetic retinopathy on circadian regulation of the retina at a genome-wide level, microarray analysis was used to compare retinal transcriptomes between light- and dark-adapted non-diabetic and diabetic mice.
2021-09-05 | GSE151350 | GEO