Project description:Genome-wide DNA methylation profiling of bead-enriched total monocytes collected from Native Hawaiian participants with known type 2 diabetes mellitus enrolled in a 3 month diabetes-specific social support education intervention. DNA methylation profiling was performed across ~450,000 CpGs from monocytes using the Illumina Infinium HumanMethylation450 BeadChip. Samples included 8 participants with paired DNA methylation data collected at pre-intervention and post-intervention (3 months), and 2 non-diabetic donors.
Project description:The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in whole blood samples from a case-control study of 192 Irish patients with type 1 diabetes mellitus (T1D). Cases had T1D and nephropathy whereas controls had T1D but no evidence of renal disease. emails: christopher.bell@cancer.ucl.ac.uk, a.teschendorff@ucl.ac.uk Keywords: DNA methylation
Project description:The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in whole blood samples from a case-control study of 192 Irish patients with type 1 diabetes mellitus (T1D). Cases had T1D and nephropathy whereas controls had T1D but no evidence of renal disease. emails: christopher.bell@cancer.ucl.ac.uk, a.teschendorff@ucl.ac.uk Keywords: DNA methylation Bisulphite converted DNA from the 192 samples were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2
Project description:Our main purpose is to screen specific biomarkers for supporting diagnoses of type-2 diabetic nephropathy (T2DN), type-2 diabetic retinopathy (T2DR), and type-2 diabetes mellitus (T2D) without these complications. The miRNA expression database was built to study T2D in humans with the performance of the GeneChip™ miRNA 4.0 array analysis. The notable highlight of the analysis results in RNA expression shows there are three main groups which include one control group and two diabetic groups. It is used to apply grouping to the miRNA-expression analysis.
Project description:Little is known about the contribution of the epigenome to the pathophysiology of type 2 diabetes (T2D). Here we have used genome-wide DNA methylation profiling to obtain the first comprehensive DNA methylation data set for human T2D pancreatic islets. Therefore, we analyzed the methylation profile of 27,578 CpG sites affiliated to more than 14,000 genes in 16 samples of pancreatic islets, 11 normal and 5 type 2-diabetic. Keywords: DNA methylation Keywords: Methylation profiling by array We measured the methylation status of the 27,578 CpG sites (Human Methylation27 DNA BeadChip array) in genomic DNA obtained from pnacreatic islets of 11 non-diabetic and 5 type-2-diabetic male human donors to identify genes that are differentially methylated in T2D.
Project description:Genes showing differential expression in visceral adipose tissue obtained from Asia Indian obese women suffering from type-2 diabetes mellitus as compared to age and BMI matched normal glucose tolerant women were identified by genome wide transcriptomic profiling in 5 diabetic and 5 control subjects respectively.
Project description:Diabetes mellitus (DM) is a leading cause of chronic kidney disease and the pathobiology of diabetic nephropathy is widely studied. Less, however, is known about urinary bladder disease in DM despite dysfunctional voiding being a common clinical problem. We hypothesised that diabetic cystopathy would have a characteristic molecular signature, due to the adaptive response to increased urine load combined with the metabolic impacts of DM. To distinguish the consequences of DM from polyuria we compared bladders of untreated control, diabetic (streptozotocin-induced) and sucrose-treated male Wistar rats after 16 weeks using gene array
Project description:Genome wide DNA methylation profiling of cord blood cells obtained from gestational diabetes mellitus (GDM) pregnancies. The Illumina EPIC methylation beadchip array was used to obtain DNA methylation profiles across approximately 850,000 CpG dinucleotide methylation loci in DNA isolated from cord blood. Samples include 165 GDM subjects.
Project description:Little is known about the contribution of the epigenome to the pathophysiology of type 2 diabetes (T2D). Here we have used genome-wide DNA methylation profiling to obtain the first comprehensive DNA methylation data set for human T2D pancreatic islets. Therefore, we analyzed the methylation profile of 27,578 CpG sites affiliated to more than 14,000 genes in 16 samples of pancreatic islets, 11 normal and 5 type 2-diabetic. Keywords: DNA methylation Keywords: Methylation profiling by array
Project description:Epigenetic mechanisms are considered to contribute to diabetic nephropathy by maintaining memory of poor glycemic control during the early stages of diabetes. However, DNA methylation changes in the human kidney are poorly characterized, because of the lack of cell type-specific analysis. We examined DNA methylation in proximal tubules purified from diabetic nephropathy patients and identified differentially methylated CpG sites, given the critical role of proximal tubules in the kidney injury. Hypermethylation was observed at CpG sites annotated to genes responsible for proximal tubule functions, including gluconeogenesis, nicotinamide adenine dinucleotide synthesis, transporters of glucose, water, phosphate, and drugs, in diabetic kidneys, while genes involved in oxidative stress and the cytoskeleton exhibited demethylation. Methylation levels of CpG sites annotated to ACTN1, BCAR1, MYH9, UBE4B, AFMID, TRAF2, TXNIP, FOXO3, and HNF4A were correlated with the estimated glomerular filtration rate, while methylation of the CpG site in RUNX1 was associated with interstitial fibrosis and tubular atrophy. Hypermethylation of G6PC and HNF4A was accompanied by decreased expression in diabetic kidneys. Proximal tubule-specific hypomethylation of metabolic genes related to HNF4A observed in control kidneys was compromised in diabetic kidneys, suggesting a role for aberrant DNA methylation in the dedifferentiation process. Multiple genes with aberrant DNA methylation in diabetes overlapped genes with altered expressions in maladaptive proximal tubule cells, including transcription factors PPARA and RREB1. In conclusion, DNA methylation derangement in the proximal tubules of patients with diabetes may drive phenotypic changes, characterized by inflammatory and fibrotic features, along with impaired function in metabolism and transport.
