Journal of Dali University ›› 2023, Vol. 8 ›› Issue (2): 31-35.

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Bioinformatic Analysis of Differentially Expressed Genes in the Patients Infected with Helicobacter pylori

Cheng Mingjing1, Yan Ping2, Fan Yujuan1, Zhao Weidong1*   

  1. (1.Clinical College, Dali University, Dali, Yunnan  671000, China; 2.Department of Gastroenterology, The First Affiliated Hospital of Dali University, Dali, Yunnan  671000, China)

  • Received:2022-08-01 Online:2023-02-15 Published:2023-03-02

Abstract: Objective:To investigate the differentially expressed genes (DEGs) in the patients infected with Helicobacter pylori (H. pylori). Methods: Three H. pylori infection datasets (GSE6143, GSE60427 and GSE60662) were collected from Gene Expression Omnibus database. The common DEGs in the three data sets were analyzed by bioinformatics software for KEGG pathway enrichment and GO analysis, and the protein-protein interaction (PPI) network was constructed to analyze the interaction between DEGs expressed proteins. Results:A total of 29 DEGs were screened from three data sets. KEGG pathway enrichment analysis and GO analysis showed that the inflammatory immune response was activated after H. pylori infection. PPI analysis showed that the activities of TLR4, ICAM1, CCL4, TLR5, CCL19 and CR2 were enhanced after H. pylori infection. Conclusion:The inflammatory response of H. pylori infection is active, and TLR4, ICAM1, CCL4, TLR5, CCL19, and CR2 genes can be used as potential biomarkers for the treatment of H. pylori infection.

Key words: font-family:Times New Roman, ">Helicobacter pylorifont-family:Times New Roman, ">, font-family:Times New Roman, "> infectionfont-family:Times New Roman, ">, font-family:Times New Roman, "> bioinformatics

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