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The fecal microbiota has already altered in normoglycemic individuals who go on to have type 2 diabetes

ABSTRACT: The fecal microbiota has already altered in normoglycemic individuals who go on to have type 2 diabetes

PROVIDER: PRJEB30611 | ENA |

REPOSITORIES: ENA

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Go Type 2 Diabetes

Project description:Go Type 2 Diabetes

| PRJNA268369 | ENA

The Fecal Microbiota Is Already Altered in Normoglycemic Individuals Who Go on to Have Type 2 Diabetes.

Project description: Not available

| S-EPMC7930378 | biostudies-literature

Altered microRNA expression in individuals at high risk of type 1 diabetes

Project description:Type 1 diabetes (T1D) is an autoimmune disease characterized by the destruction of pancreatic insulin-producing β cells. CD4+ T cells are integral to the pathogenesis of T1D, but biomarkers that define their pathogenic status in T1D are lacking. miRNAs have essential functions in a wide range of tissues/organs, including the immune system. We reasoned that CD4+ T cells from individuals at high risk for T1D (pre-T1D) might be distinguished by an miRNA signature. We sorted CD4+ T cells from 9 healthy and 7 pre-T1D individuals into 6 subsets, namely naïve, resting regulatory (rTreg), activated regulatory (aTreg), transitional memory (Ttm), central memory (Tcm) and effector memory (Tem) cells, and then compared miRNA profiles between these subsets and between pre-T1D and healthy individuals by deep sequencing. Differential expression of miRNAs was detected in each of the CD4+ T cell subsets. For example, expression of miRNAs that induce apoptosis (miR-15a) or FOXP3 instability (miR-31) was increased in rTreg and aTreg cells, respectively, in pre-T1D individuals, whereas miR-150 was increased in Tem cells of pre-T1D individuals. Importantly, increased miR-150 expression could be detected by qRT-PCR in total CD4+ T and PBMCs of pre-T1D individuals. Consistent with it being a marker of pathogenic CD4+ T cells, we showed that miR-150 regulates IFN-γ production in mouse CD4+ T cells. Thus, comprehensive profiling identifies miRNA profiles that not only distinguish CD4+ T cell subsets but also discriminate individuals with preclinical T1D. The ability to detect differentially expressed miRNAs in total CD4+ T cells or PBMCs should facilitate clinical application of miRNAs as biomarkers.

2015-12-31 | GSE44639 | GEO

Post-transplant diabetes mellitus after kidney transplantation

Project description:Diabetes mellitus (DM) after transplantation remains a crucial clinical problem in kidney transplantation. To obtain insights into molecular mechanisms underlying the development of post-transplant diabetes mellitus (PTDM) and its early impact on glomerular structures, here we comparatively analyze the proteome of histologically normal appearing glomeruli from patients with PTDM from normoglycemic (NG) transplant recipients, and from recipients with pre-existing type 2 DM (PTDM)

2023-10-24 | PXD042188 | Pride

DNA methylation data for human muscle cells from individuals with type 2 diabetes and controls

Project description:DNA methylation data for both proliferating myoblasts and differentiated myotubes from n=14 individuals with type 2 diabetes and n=14 controls

2021-02-12 | GSE166652 | GEO

mRNA expression data for human muscle cells from individuals with type 2 diabetes and controls

Project description:mRNA expression data for both proliferating myoblasts and differentiated myotubes from n=13 individuals with type 2 diabetes and n=13 controls

2021-02-10 | GSE166467 | GEO

Methylation arrays (MethylationEPIC) of whole blood of individuals with type 1 diabetes

Project description:Type 1 diabetes (1a) diabetes is an autoimmune disease in which both environmental and genetic factors play a role. Epigenetic marks such as DNA methylation, being molecular links between the environment and the genome function, are sound candidates for the explanation of part of the aetiology and mechanisms of the disease. Here, the methylomes of the whole blood of 18 adult individuals with T1D were profiled using Illumina's MethylationEPIC array technology.

2020-12-22 | E-MTAB-8694 | biostudies-arrayexpress

DNA methylation data throughout human muscle cell differentiation in individuals with type 2 diabetes and controls

Project description:DNA methylation data throughout human muscle cell differentiation in n=14 individuals with type 2 diabetes and n=14 controls

2021-02-16 | GSE166787 | GEO

mRNA expression data throughout human muscle cell differentiation in individuals with type 2 diabetes and controls

Project description:mRNA expression data throughout human muscle cell differentiation in n=13 individuals with type 2 diabetes and n=13 controls

2021-02-10 | GSE166502 | GEO

Proteomics analysis of gastric cancer patients with diabetes mellitus

Project description:Proteomics is a powerful approach to study the molecular mechanisms of cancer. In this study, we aim to characterize the proteomic profile of gastric cancer (GC) in patients with diabetes mellitus (DM) type 2. Forty GC tissue samples including 19 cases from diabetic patients and 21 cases from individuals without diabetes (control group) were selected for the proteomics analysis. Gastric tissues were processed following the single-pot, solid-phase-enhanced sample preparation approach—SP3 and enzymatic digestion with trypsin. The resulting peptides were analyzed by LC-MS Liquid Chromatography—Mass Spectrometry (LC-MS). The comparison of protein expression levels between GC samples from diabetic and non-diabetic patients was performed by label-free quantification (LFQ). A total of 6599 protein groups were identified in the 40 samples. Thirty-seven proteins were differentially expressed among the two groups, with 16 upregulated and 21 downregulated in the diabetic cohort. Statistical overresentation tests were considered for different annotation sets including the Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, and Disease functional databases. Upregulated proteins in the GC samples from diabetic patients were particularly enriched in respiratory electron transport and alcohol metabolic biological processes, while downregulated proteins were associated with epithelial cancers, intestinal diseases, and cell–cell junction cellular components. Taken together, these results support the data already obtained by previous studies that associate diabetes with metabolic disorders and diabetes-associated diseases, such as Alzheimer’s and Parkinson’s, and also provide valuable insights into seven GC-associated protein targets, claudin-3, polymeric immunoglobulin receptor protein, cadherin-17, villin-1, transglutaminase-2, desmoglein-2, and mucin-13, which warrant further investigation.

2021-01-22 | PXD022915 | Pride

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