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Identification of differentially expressed genes in the endothelial precursor cells of patients with type 2 diabetes mellitus by bioinformatics analysis

  • Authors:
    • Zhida Shen
    • Qi Chen
    • Hangying Ying
    • Zetao Ma
    • Xukun Bi
    • Xiaoting Li
    • Meihui Wang
    • Chongying Jin
    • Dongwu Lai
    • Yanbo Zhao
    • Guosheng Fu
  • View Affiliations / Copyright

    Affiliations: Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, P.R. China, Biomedical Research Center, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, P.R. China
    Copyright: © Shen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 499-510
    |
    Published online on: November 22, 2019
       https://doi.org/10.3892/etm.2019.8239
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Abstract

Type 2 diabetes mellitus (DM) is a metabolic disease with worldwide prevalence that is associated with a decrease in the number and function of endothelial progenitor cells (EPCs). The aim of the present study was to explore the potential hub genes of EPCs in patients with type 2 DM. Differentially expressed genes (DEGs) were screened from a public microarray dataset (accession no. GSE43950). Pathway and functional enrichment analyses were performed using the Database for Annotation, Visualization and Integrated Discovery. The protein‑protein interaction (PPI) network was visualized. The most significantly clustered modules and hub genes were identified using Cytoscape. Furthermore, hub genes were validated by quantitative PCR analysis of EPCs isolated from diabetic and normal subjects. Subsequently, weighted gene co‑expression network analysis (WGCNA) was performed to identify the modules incorporating the genes exhibiting the most significant variance. A total of 970 DEGs were obtained and they were mainly accumulated in inflammation‑associated pathways. A total of 9 hub genes were extracted from the PPI network and the highest differential expression was determined for the interleukin 8 (IL8) and CXC chemokine ligand 1 (CXCL1) genes. In the WGCNA performed to determine the modules associated with type 2 DM, one module incorporated IL8 and CXCL1. Finally, pathway enrichment of 10% genes in the pink module ordered by intramodular connectivity (IC) was associated with the IL17 and the chemokine signaling pathways. The present results revealed that the expression of IL8 and CXCL1 may serve important roles in the pathophysiology of EPCs during type 2 DM and inflammatory response may be critical for the reduced number and hypofunction of EPCs isolated from patients with diabetes.
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Copy and paste a formatted citation
Spandidos Publications style
Shen Z, Chen Q, Ying H, Ma Z, Bi X, Li X, Wang M, Jin C, Lai D, Zhao Y, Zhao Y, et al: Identification of differentially expressed genes in the endothelial precursor cells of patients with type 2 diabetes mellitus by bioinformatics analysis. Exp Ther Med 19: 499-510, 2020.
APA
Shen, Z., Chen, Q., Ying, H., Ma, Z., Bi, X., Li, X. ... Fu, G. (2020). Identification of differentially expressed genes in the endothelial precursor cells of patients with type 2 diabetes mellitus by bioinformatics analysis. Experimental and Therapeutic Medicine, 19, 499-510. https://doi.org/10.3892/etm.2019.8239
MLA
Shen, Z., Chen, Q., Ying, H., Ma, Z., Bi, X., Li, X., Wang, M., Jin, C., Lai, D., Zhao, Y., Fu, G."Identification of differentially expressed genes in the endothelial precursor cells of patients with type 2 diabetes mellitus by bioinformatics analysis". Experimental and Therapeutic Medicine 19.1 (2020): 499-510.
Chicago
Shen, Z., Chen, Q., Ying, H., Ma, Z., Bi, X., Li, X., Wang, M., Jin, C., Lai, D., Zhao, Y., Fu, G."Identification of differentially expressed genes in the endothelial precursor cells of patients with type 2 diabetes mellitus by bioinformatics analysis". Experimental and Therapeutic Medicine 19, no. 1 (2020): 499-510. https://doi.org/10.3892/etm.2019.8239
Copy and paste a formatted citation
x
Spandidos Publications style
Shen Z, Chen Q, Ying H, Ma Z, Bi X, Li X, Wang M, Jin C, Lai D, Zhao Y, Zhao Y, et al: Identification of differentially expressed genes in the endothelial precursor cells of patients with type 2 diabetes mellitus by bioinformatics analysis. Exp Ther Med 19: 499-510, 2020.
APA
Shen, Z., Chen, Q., Ying, H., Ma, Z., Bi, X., Li, X. ... Fu, G. (2020). Identification of differentially expressed genes in the endothelial precursor cells of patients with type 2 diabetes mellitus by bioinformatics analysis. Experimental and Therapeutic Medicine, 19, 499-510. https://doi.org/10.3892/etm.2019.8239
MLA
Shen, Z., Chen, Q., Ying, H., Ma, Z., Bi, X., Li, X., Wang, M., Jin, C., Lai, D., Zhao, Y., Fu, G."Identification of differentially expressed genes in the endothelial precursor cells of patients with type 2 diabetes mellitus by bioinformatics analysis". Experimental and Therapeutic Medicine 19.1 (2020): 499-510.
Chicago
Shen, Z., Chen, Q., Ying, H., Ma, Z., Bi, X., Li, X., Wang, M., Jin, C., Lai, D., Zhao, Y., Fu, G."Identification of differentially expressed genes in the endothelial precursor cells of patients with type 2 diabetes mellitus by bioinformatics analysis". Experimental and Therapeutic Medicine 19, no. 1 (2020): 499-510. https://doi.org/10.3892/etm.2019.8239
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