Can circulating miR-7-1-5p, and miR-33a-5p be used as markers of T2D patients?

Purpose: Recent evidence has indicated that miRNAs play an important role in both initiation and progression of many pathologic processes such as diabetes and can be used as an important and more sensitive tool to predict the development of the disease than the currently used biomarkers. This research aimed at comparing miR-7-5p and miR-33a-5p expression levels in the diabetics and pre-diabetics with the control group.

Methods: In this study, we compared expression of miR-7-5p and miR-33a-5p in plasma of three groups including pre-diabetic patients ( = 20), T2D patients ( = 20) and control group ( = 20), using RT-qPCR.

Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches.

Background: About 90% of patients who have diabetes suffer from Type 2 DM (T2DM). Many studies suggest using the significant role of lncRNAs to improve the diagnosis of T2DM. Machine learning and Data Mining techniques are tools that can improve the analysis and interpretation or extraction of knowledge from the data.

Can miR-145-5p be used as a marker in diabetic patients?

In the light of emerging global epidemics of type 2 diabetes mellitus significant efforts are continuing to discover novel biomarkers for early detection of the disease. Since miRNAs play an important role in both the initiation and progress of many pathologic processes such as diabetes, in this study we aimed to evaluate expression level of plasma miR-145-5p in diabetics and pre-diabetics in comparison to the control group and assess its use as a biomarker in diagnosis of T2D. The plasma level of miR-145-5p was assessed in three groups including 20 prediabetic patients, 20 T2D patients and 20 healthy controls using RT-qPCR.

Long non-coding RNA LY86-AS1 and HCG27_201 expression in type 2 diabetes mellitus.

Long non-coding RNAs (LncRNAs) are non-coding RNAs. The potential roles of lncRNAs in type 2 diabetes mellitus (T2DM) are not well-known. In this study, we aim to assess the expression levels of LY86-AS1 and HCG27_201 in T2DM patients and a healthy control group.

Downregulation of long non-coding RNAs LINC00523 and LINC00994 in type 2 diabetes in an Iranian cohort.

Long non-coding RNAs (lncRNAs) are a subclass within the non-coding RNA repertoire that have potential roles in type 2 diabetes mellitus (T2DM). However, the biological function and molecular mechanisms of lncRNAs in T2DM remain largely unknown. The purpose of this study is to investigate the association between LINC00523 and LINC00994 expressions and T2DM susceptibility in an Iranian cohort.