Expression Profiling of Genes Related to Endothelial Cells Biology in Patients with Type 2 Diabetes and Patients with Prediabetes.
Sara MoradipoorPatimah IsmailAli EtemadWan Aliaa Wan SulaimanSalma AhmadlooPublished in: BioMed research international (2016)
Endothelial dysfunction appears to be an early sign indicating vascular damage and predicts the progression of atherosclerosis and cardiovascular disorders. Extensive clinical and experimental evidence suggests that endothelial dysfunction occurs in Type 2 Diabetes Mellitus (T2DM) and prediabetes patients. This study was carried out with an aim to appraise the expression levels in the peripheral blood of 84 genes related to endothelial cells biology in patients with diagnosed T2DM or prediabetes, trying to identify new genes whose expression might be changed under these pathological conditions. The study covered a total of 45 participants. The participants were divided into three groups: group 1, patients with T2DM; group 2, patients with prediabetes; group 3, control group. The gene expression analysis was performed using the Endothelial Cell Biology RT2 Profiler PCR Array. In the case of T2DM, 59 genes were found to be upregulated, and four genes were observed to be downregulated. In prediabetes patients, increased expression was observed for 49 genes, with two downregulated genes observed. Our results indicate that diabetic and prediabetic conditions change the expression levels of genes related to endothelial cells biology and, consequently, may increase the risk for occurrence of endothelial dysfunction.
Keyphrases
- genome wide identification
- genome wide
- endothelial cells
- poor prognosis
- bioinformatics analysis
- end stage renal disease
- peripheral blood
- genome wide analysis
- transcription factor
- ejection fraction
- chronic kidney disease
- newly diagnosed
- type diabetes
- binding protein
- oxidative stress
- prognostic factors
- peritoneal dialysis
- cardiovascular disease
- risk assessment
- skeletal muscle
- high glucose
- high resolution
- glycemic control
- insulin resistance
- weight loss
- single cell