Ontology highlight
ABSTRACT:
PROVIDER: PRJNA798680 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17661400_1.fastq.gz | Fastqsanger.gz | |||
| SRR17661400_2.fastq.gz | Fastqsanger.gz | |||
| SRR17661401_1.fastq.gz | Fastqsanger.gz | |||
| SRR17661401_2.fastq.gz | Fastqsanger.gz | |||
| SRR17661402_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 204 |
Similar Datasets
Project description:Diabetes mellitus is associated with serious long-term complications, including increased cardiovascular risk and a higher occurrence of infections. These diabetes-related complications are suggestive of altered responses of the innate immune system. Recent studies have shown that energy metabolism of monocytes is a crucial determinant of their functionality. Here we investigate whether metabolism and function of monocytes are changed in patients with diabetes and aim to identify diabetes-associated factors driving these alterations. Patients with type 1 diabetes (T1D) and healthy age-, sex- and BMI-matched nondiabetic controls were recruited and detailed characteristics related to disease status including diabetes duration and glycemic burden (HbA1c levels) were collected. Monocytes were isolated from peripheral blood to determine immune functionality, metabolic responses and to perform transcriptome analyses. Upon ex vivo stimulation with TLR-4 agonist LPS or TLR-2 agonist P3C, monocytes of patients with T1D secreted lower levels of various cytokines (TNFα, IL-1β and IL-1Ra) and had lower glycolytic rates in comparison to monocytes isolated from matched controls. Stratification based on HbA1c levels revealed that a lower cytokine secretion was coupled to a higher glycolytic rate of monocytes in patients with a higher glycemic burden. Gene expression signatures of circulating monocytes displayed an enhanced inflammatory expression pattern that was associated with this high glycemic burden. A high glycemic burden in patients with T1D promotes expression of inflammatory genes of monocytes in vivo and is coupled to an impaired relationship between metabolism and inflammatory function upon activation ex vivo.
2020-10-09 | GSE154609 | GEO
Project description:Type 2 diabetes mellitus represents a major health problem with increasing prevalence worldwide. Limited efficacy of current therapies have prompted a search for novel therapeutic options. Here we show that treatment of pre-diabetic mice with mitochondrially targeted tamoxifen, a potential anti-cancer agent with senolytic activity, improves glucose tolerance and reduces body weight with most pronounced reduction of visceral adipose tissue due to reduced food intake, suppressed adipogenesis and elimination of senescent cells. Glucose-lowering effect of mitochondrially targeted tamoxifen is linked to improvement of type 2 diabetes mellitus-related hormones profile and is accompanied by reduced lipid accumulation in liver. Lower senescent cell burden in various tissues, as well as its inhibitory effect on pre-adipocyte differentiation, results in lower level of circulating inflammatory mediators that typically enhance metabolic dysfunction. Targeting senescence with mitochodrially targeted tamoxifen thus represents an approach to the treatment of type 2 diabetes mellitus and its related comorbidities, promising a complex impact on senescence-related pathologies in aging population of patients with type 2 diabetes mellitus with potential translation into the clinic.
2022-05-20 | PXD031710 | Pride
Project description:Metformin, a biguanide agent, is the first-line treatment for type 2 diabetes mellitus due to its glucose-lowering effect. Despite its wide application in the treatment of multiple health conditions, the glycemic response to metformin is highly variable, emphasizing the need for reliable biomarkers. We chose the RNA-Seq-based comparative transcriptomics approach to evaluate the systemic effect of metformin and highlight potential predictive biomarkers of metformin response in drug-naïve type 2 diabetes patient volunteers in vivo. Longitudinal blood-derived transcriptome analysis revealed metformin-induced differential expression of novel and previously described genes involved in cholesterol homeostasis (SLC46A1 and LRP1), cancer development (CYP1B1, STAB1, CCR2, TMEM176B) and immune responses (CD14, CD163) after administration of metformin for three months. We demonstrate for the first time transcriptome-based molecular discrimination between metformin responders (delta HbA1c ≥ 1% or 12.6 mmol/mol) and non-responders (delta HbA1c < 1% or 12.6 mmol/mol) determined by expression levels of 56 genes, explaining 13.9% of the variance in the therapeutic efficacy of the drug. Moreover, we found a significant upregulation of IRS2 gene (log2FC 0.89) in responders compared to non-responders before the use of metformin. Finally, we provide evidence for the mitochondrial respiratory complex I as one of the factors related to the high variability of the therapeutic response to metforminin patients with type 2 diabetes mellitus.
2020-07-05 | GSE153792 | GEO
Project description:Glycemic control is a strong predictor of long-term cardiovascular risk in patients with diabetes mellitus, and poor glycemic control influences long-term risk of cardiovascular disease even decades after optimal medical management. This phenomenon, termed glycemic memory, has been proposed to occur due to stable programs of cardiac and endothelial cell gene expression. This transcriptional remodeling has been shown to occur in the vascular endothelium through a yet undefined mechanism of cellular reprogramming. Epigenetics offers a novel mechanism whereby a transient glycemic stress is capable of modifying endothelial susceptibility to the pathological remodeling of cardiovascular disease. In the current study, we show that transient glucose exposure triggers widespread alterations in endothelial DNA methylation which may control several recognized pathological mechanisms of cardiovascular disease, such as the nitric oxide signaling cascade. Future mechanistic studies should therefore investigate the extent to which differential methylation potentiates endothelial dysfunction in response to transient glycemic stress.
2020-12-19 | GSE163510 | GEO
Project description:Obesity is a chronic inflammatory condition which leads to a change in the production of adipokines and cytokines that can be found in blood plasma and saliva. It increases the risk for periodontal and cardiovascular diseases, hypertension, dyslipidemia, type 2 Diabetes Mellitus, cancer and others. This study aims to analyze the plasma and saliva proteomes of young adults with obesity and overweight comparing to normal weight individuals, to reveal the influence of body index in the proteome profiles and to identify early biomarkers of obesity-associated diseases.
2021-11-15 | PXD017165 | Pride
Project description:To evaluate whether serum micoRNAs can be biomarkers for diagnosis of type 1 diabetes mellitus, we analyzed the serum microRNA expression profiles in 6 patients with new-onset type 1 diabetes mellitus and 6 age- and gender-matched healthy controls. A difference was observed in 31 miRNAs between the patients and controls (fold change ≥ 2, P < 0.05)
2017-02-09 | GSE94649 | GEO
Project description:Nucleotide-binding oligomerization domain 2 (Nod2) signaling is critical for human health.To figure out the clinical relevance of NOD2 ligands, the investigators plan to evaluate the change of NOD2 ligands in inflammatory bowel diseases (IBD), CRC, atherosclerotic cardiovascular disease (ACVD), and type 2 diabetes mellitus (DM2 ).
| 2380440 | ecrin-mdr-crc
Project description:The effect of different HbA1c levels on gut microbiota in type 2 diabetes mellitus patients
| PRJNA735967 | ENA
Project description:Diabetes Mellitus Type 1 miRnome
| PRJEB51173 | ENA
Project description:To evaluate the effect of glycemic control status in middle-aged and elderly individuals with type 2 diabetes mellitus (T2DM) on oral proteomic by liquid chromatography tandem mass spectrometry (LC-MS/MS). Twenty-four individuals who met the criteria were included and divided into a well-controlled group and a poorly-controlled group according to their glycated hemoglobin levels. The two groups were matched in age, gender and clinical parameters. After unstimulated whole saliva samples were collected, LC-MS/MS technique in data independent acquisition (DIA) mode was used to detect the proteins in samples. In addition, we compared the differentially expressed proteins between groups with different glycemic levels in saliva. Finally, we performed functional annotation and enrichment analysis of proteins.
2021-10-11 | PXD029066 |