Research Article

Bioinformatic analysis of endothelial progenitor cells exposed to folic acid in type 1 diabetes mellitus

Published: January 03, 2014
Genet. Mol. Res. 13 (1) : 1-10 DOI: 10.4238/2014.January.3.1

Abstract

We investigated the effects of type 1 diabetes mellitus (T1DM) on endothelial progenitor cells (EPCs) at the molecular level and assessed the therapeutic potential of folic acid (FA) in DM. We downloaded the gene expression profile of the EPCs from T1DM patients before and after treatment with FA and from healthy controls. We identified the differentially expressed genes (DEGs) in the EPCs from T1DM patients before and after a four-week period of FA treatment and compared them with those obtained from the healthy subjects by using limma package in R language. Then, functional annotation of the DEGs was performed using the online tool Database for Annotation, Visualization and Integrated Discovery (DAVID) based on the Kyoto Encyclopedia of Genes and Genomes database. The expression of 696 genes was altered in the EPCs from T1DM patients compared to those from the healthy controls. These genes were mainly involved in the pathways associated with immune response. FA can normalize majority of the altered gene expression profiles of EPCs from T1DM patients to resemble those of healthy subjects, albeit with some side effects. FA can be a potential therapeutic agent for the treatment of T1DM. However, focused efforts are required to ensure that the dose of FA falls within the permissible pharmacological range.

We investigated the effects of type 1 diabetes mellitus (T1DM) on endothelial progenitor cells (EPCs) at the molecular level and assessed the therapeutic potential of folic acid (FA) in DM. We downloaded the gene expression profile of the EPCs from T1DM patients before and after treatment with FA and from healthy controls. We identified the differentially expressed genes (DEGs) in the EPCs from T1DM patients before and after a four-week period of FA treatment and compared them with those obtained from the healthy subjects by using limma package in R language. Then, functional annotation of the DEGs was performed using the online tool Database for Annotation, Visualization and Integrated Discovery (DAVID) based on the Kyoto Encyclopedia of Genes and Genomes database. The expression of 696 genes was altered in the EPCs from T1DM patients compared to those from the healthy controls. These genes were mainly involved in the pathways associated with immune response. FA can normalize majority of the altered gene expression profiles of EPCs from T1DM patients to resemble those of healthy subjects, albeit with some side effects. FA can be a potential therapeutic agent for the treatment of T1DM. However, focused efforts are required to ensure that the dose of FA falls within the permissible pharmacological range.