• Title of article

    Identification of the Key Genes Involved in the Effect of Folic Acid on Endothelial Progenitor Cell Transcriptome of Patients with Type 1 Diabetes

  • Author/Authors

    Lu, Yi Department of Cardiology - Minhang Hospital - Fudan University - Xin-Song Road - Shanghai, China , Yang, Qianhong Department of Geriatrics - Minhang Hospital - Fudan University - Xin-Song Road - Shanghai, China , Hu, Wei Department of Cardiology - Minhang Hospital - Fudan University - Xin-Song Road - Shanghai, China , Dong, Jian Department of Cardiology - Minhang Hospital - Fudan University - Xin-Song Road - Shanghai, China

  • Pages
    6
  • From page
    1
  • To page
    6
  • Abstract
    Type 1 diabetes (T1D) is one of the most common autoimmune diseases in children. Previous studies have suggested that endothelial progenitor cells (EPCs) might be engaged in the regulating of the biological processes in T1D and folic acid (FA) might be engaged in regulating EPC function. The present study has identified 716 downregulated genes and 617 upregulated genes in T1D EPC cases after treated with FA. Bioinformatics analysis has shown that these DEGs were engaged in regulating metabolic processes, cell proliferation-related processes, bone marrow development, cell adhesion, platelet degranulation, and cellular response to growth factor stimulus. Furthermore, we have conducted and identified hub PPI networks. Importantly, we have identified 6 upregulated genes (POLR2A, BDNF, CDC27, LTN1, RAB1A, and CUL2) and 8 downregulated genes (SHC1, GRIN2B, TTN, GNAL, GNB2, PTK2, TF, and TLR9) as key regulators involved in the effect of FA on endothelial progenitor cell transcriptome of patients with T1D. We think that this study could provide novel information to understand the roles of FA in regulating EPCs of T1D patients.
  • Keywords
    Type 1 , Folic Acid , Transcriptome , T1D
  • Journal title
    Computational and Mathematical Methods in Medicine
  • Serial Year
    2020
  • Record number

    2613115