Ontology highlight
ABSTRACT:
PROVIDER: PRJNA503536 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:While insulin replacement therapy restores the health and prevents the onset of diabetic complications (DC) for many decades, some T1D patients have elevated hemoglobin A1c values suggesting poor glycemic control, a risk factor of DC. We surveyed the stool microbiome and urinary proteome of a cohort of 220 adolescents and children, half of which had lived with T1D for an average of 7 years and half of which were healthy siblings. Phylogenetic analysis of the 16S rRNA gene did not reveal significant differences in gut microbial alpha-diversity comparing the two cohorts. The urinary proteome of T1D patients revealed increased abundances of several lysosomal proteins that correlated with elevated HbA1c values. In silico protein network analysis linked such proteins to extracellular matrix components and the glycoprotein LRG1. LRG1 is a prominent inflammation and neovascularization biomarker. We hypothesize that these changes implicate aberrant glycation of macromolecules that alter lysosomal function and metabolism in renal tubular epithelial cells, cells that line part of the upper urinary tract.
2019-03-28 | PXD012413 | Pride
Project description:The “nonclassic” apparent mineralocorticoid excess (NC-AME) has been identified in approximately 7% of general population. Our aim was to identify miRNAs within urinary exosomes associated to the NC-AME phenotype. A total of 18 urine samples (9 control and 9 NC-AME) derived from adult and children subjects were analyzed using small RNA sequencing.
2020-04-14 | GSE138556 | GEO
Project description:To unravel genes and molecular pathways involved in the pathogenesis of type 1 diabetes (T1D), we performed genome-wide gene expression profiling of prospective venous blood samples from children developing T1D-associated autoantibodies or progressing towards clinical diagnosis. 247 peripheral blood RNA samples from 18 prediabetic children and their matched controls were analyzed with Illumina Human HT-12 Expression BeadChips version 3 arrays, in order to study the gene expression changes occuring during the pathogenesis of Type 1 diabetes (T1D). Each case child (with T1D-specific autoantibodies) was matched with a persistently autoantibody-negative control child, with the same HLA-DQB1 risk category, gender, and place and date of birth. Two control children were selected for T1D cases 3, 5, 13 and 17. Seroconversion is determined as the first detection of T1D-specific autoantibody/autoantibodies (ICA titre >4 JDFU, IAA >3.47 RU, GADA >5.4 RU, IA-2A >0.43 RU, ZnT8A >0.61 RU).
2014-02-20 | E-GEOD-30210 | biostudies-arrayexpress
Project description:To unravel genes and molecular pathways involved in the pathogenesis of type 1 diabetes (T1D), we performed genome-wide gene expression profiling of prospective venous blood samples from children developing T1D-associated autoantibodies or progressing towards clinical diagnosis. 357 peripheral blood RNA samples from 10 autoantibody-positive children (Case) and their matched controls (Control) or alternatively 18 prediabetic children (T1DCase) and their matched controls (T1DControl) were analyzed with Affymetrix U219 gene array, in order to study the gene expression changes occuring during the pathogenesis of Type 1 diabetes (T1D). Each case child (positive for T1D-specific autoantibodies) was matched with a persistently autoantibody-negative control child, with the same HLA-DQB1 risk category, gender, and place and date of birth. Seroconversion is determined as the first detection of T1D-specific autoantibody/autoantibodies (ICA titre >4 JDFU, IAA >3.47 RU, GADA >5.4 RU, IA-2A >0.43 RU, ZnT8A >0.61 RU). Two control children were selected for T1D cases 3, 5, 13 and 17. Case5 & T1DCase15 and Case7 & T1DCase3 share the same matched control. Sample T1DControl7_4 was excluded from the final analysis as an outlier, resulting in 356 total Samples listed below.
2014-02-20 | E-GEOD-43488 | biostudies-arrayexpress
Project description:Type 1 diabetes (T1D) is an autoimmune disease caused by selective destruction of insulin producing pancreatic beta-cells in the islets of the Langerhans. The progression to clinical diabetes is characterized by the appearance of autoantibodies against islet cells (ICA) and beta-cell-specific antigens (IAA, IA-2 and GADA), which are considered the first markers signifying onset of autoimmunity. The mechanisms initiating or enhancing the autoimmune process remain poorly understood. Transcriptomic profiling on whole blood samples provides an approach for monitoring T1D disease process. In these investigations of pathways that are changed during the disease process, we have analyzed RNA from longitudinal peripheral blood samples of children who have developed T1D associated autoantibodies and eventually clinical type 1 diabetes . All study subjects were participants of the Type 1 Diabetes Prediction and Prevention (DIPP) study in Finland (38). Whole-blood RNA samples were collected during periodic clinic visits, typically at 3 to 12 month intervals. 2.5 ml venous blood was drawn into PAXgene Blood RNA tubes (Becton-Dickinson) and stored at -70°C. T1D-associated autoantibodies were measured from blood samples taken at each visit. Prospective samples from 3 children who developed T1D (subjects T1D_1 - T1D_3) and 2 children who developed ICA (subjects ICA_1 and ICA_2) during the DIPP follow-up were selected to the present study. Control children for the T1D cases (subjects T1D_C1 - T1D_C2) were matched for age, gender, birth place and HLA-genotype, from families who have no first-degree relatives with T1D. All samples (n=60) were processed and hybridized on Affymetrix Human Genome U133 Plus 2.0 arrays.
2010-03-31 | E-TABM-666 | biostudies-arrayexpress