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Article

Analysis of gene expression profile microarray data in complex regional pain syndrome

  • Authors:
    • Wulin Tan
    • Yiyan Song
    • Chengqiang Mo
    • Shuangjian Jiang
    • Zhongxing Wang
  • View Affiliations / Copyright

    Affiliations: Department of Anesthesiology, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China, Zhongshan School of Medicine, Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China, Department of Urology, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China
  • Pages: 3371-3378
    |
    Published online on: July 12, 2017
       https://doi.org/10.3892/mmr.2017.6950
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Abstract

The aim of the present study was to predict key genes and proteins associated with complex regional pain syndrome (CRPS) using bioinformatics analysis. The gene expression profiling microarray data, GSE47603, which included peripheral blood samples from 4 patients with CRPS and 5 healthy controls, was obtained from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) in CRPS patients compared with healthy controls were identified using the GEO2R online tool. Functional enrichment analysis was then performed using The Database for Annotation Visualization and Integrated Discovery online tool. Protein‑protein interaction (PPI) network analysis was subsequently performed using Search Tool for the Retrieval of Interaction Genes database and analyzed with Cytoscape software. A total of 257 DEGs were identified, including 243 upregulated genes and 14 downregulated ones. Genes in the human leukocyte antigen (HLA) family were most significantly differentially expressed. Enrichment analysis demonstrated that signaling pathways, including immune response, cell motion, adhesion and angiogenesis were associated with CRPS. PPI network analysis revealed that key genes, including early region 1A binding protein p300 (EP300), CREB‑binding protein (CREBBP), signal transducer and activator of transcription (STAT)3, STAT5A and integrin α M were associated with CRPS. The results suggest that the immune response may therefore serve an important role in CRPS development. In addition, genes in the HLA family, such as HLA‑DQB1 and HLA‑DRB1, may present potential biomarkers for the diagnosis of CRPS. Furthermore, EP300, its paralog CREBBP, and the STAT family genes, STAT3 and STAT5 may be important in the development of CRPS.
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Copy and paste a formatted citation
Spandidos Publications style
Tan W, Song Y, Mo C, Jiang S and Wang Z: Analysis of gene expression profile microarray data in complex regional pain syndrome. Mol Med Rep 16: 3371-3378, 2017.
APA
Tan, W., Song, Y., Mo, C., Jiang, S., & Wang, Z. (2017). Analysis of gene expression profile microarray data in complex regional pain syndrome. Molecular Medicine Reports, 16, 3371-3378. https://doi.org/10.3892/mmr.2017.6950
MLA
Tan, W., Song, Y., Mo, C., Jiang, S., Wang, Z."Analysis of gene expression profile microarray data in complex regional pain syndrome". Molecular Medicine Reports 16.3 (2017): 3371-3378.
Chicago
Tan, W., Song, Y., Mo, C., Jiang, S., Wang, Z."Analysis of gene expression profile microarray data in complex regional pain syndrome". Molecular Medicine Reports 16, no. 3 (2017): 3371-3378. https://doi.org/10.3892/mmr.2017.6950
Copy and paste a formatted citation
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Spandidos Publications style
Tan W, Song Y, Mo C, Jiang S and Wang Z: Analysis of gene expression profile microarray data in complex regional pain syndrome. Mol Med Rep 16: 3371-3378, 2017.
APA
Tan, W., Song, Y., Mo, C., Jiang, S., & Wang, Z. (2017). Analysis of gene expression profile microarray data in complex regional pain syndrome. Molecular Medicine Reports, 16, 3371-3378. https://doi.org/10.3892/mmr.2017.6950
MLA
Tan, W., Song, Y., Mo, C., Jiang, S., Wang, Z."Analysis of gene expression profile microarray data in complex regional pain syndrome". Molecular Medicine Reports 16.3 (2017): 3371-3378.
Chicago
Tan, W., Song, Y., Mo, C., Jiang, S., Wang, Z."Analysis of gene expression profile microarray data in complex regional pain syndrome". Molecular Medicine Reports 16, no. 3 (2017): 3371-3378. https://doi.org/10.3892/mmr.2017.6950
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