NIH Research Festival
Diabetes is a metabolic disease in which insulin is unable to direct the proper uptake of glucose by cells which leads to dangerous levels of glucose in the bloodstream. Diabetes is a widespread disease in the U.S. with over 29 million people acquiring it and of that 29 million, an appalling 8 million people are still undiagnosed. It is easily acquired as an unhealthy diet and obesity can lead to Type II diabetes and Type 1 diabetes can be genetically inherited. It is difficult to diagnose diabetes due to lack of standardized criteria and unclear definition of normal blood sugar levels. This study is focusing on prevalent microRNAs in Type 1 diabetes that are differentially expressed and may help predict the occurence of Type 1 diabetes. Furthermore, their targeted pathways in Type 1 diabetes are presented. MicroRNAs may serve as a promising biomarker in detecting diabetes. They are a recently discovered class of non coding RNAs that can alter up to 30% of protein encoding genes at the post transcriptional level in mammals. MicroRNAs deficiencies and overexpression have been implicated in numerous diseases from cancer to diabetes. The expression of prevalent and differentially expressed microRNAs along with their targeted pathways in Type 1 diabetes are presented with the hope that they may serve as a biomarker in diagnosing Type 1 diabetes.
Scientific Focus Area: Computational Biology
This page was last updated on Friday, March 26, 2021