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

Abstract

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

CLC Number:

Cheng Mingjing, Yan Ping, Fan Yujuan, Zhao Weidong.

Bioinformatic Analysis of Differentially Expressed Genes in the Patients Infected with Helicobacter pylori [J]. Journal of Dali University, 2023, 8(2): 31-35.

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

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