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Article | Open Access

Identification of aging-related genes in Helicobacter pylori infection

Honghao Li, Yuanyuan Deng, Honglie Zeng, Shaowei Cai, Ming Xu, Hongli Zhao( )
Department of Internal Medicine II, Minhang Campus, Guangdong Second Provincial General Hospital, Guangzhou 510317, China
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Abstract

Background

Helicobacter pylori (HP) infection is common worldwide, leading to many systemic diseases. The reasons for aging have been explored, but there is no unified conclusion. The aim of this study was to explore aging-related genes involved in HP infection.

Results

A total of 70 aging-related differentially expressed genes (DEGs) were identified between HP infection and control groups, including 64 upregulated genes and 6 downregulated genes. Functional enrichment analysis revealed that multiple signaling pathways are closely linked to HP infection. In addition, the cytoHubba plugin identified 10 important hub genes, namely, ITGB2, PTPRC, HCLS1, LAPTM5, CD53, LYN, HLA-DRA, HLA-DPA1, HLA-DQB1, and CXCL8. Additionally, the correlation analysis of immune cell fractions revealed that immune infiltration plays an important role in HP infection. The nomogram containing CD53, ITGB2, and CXCL8 confirmed the favorable prediction ability of HP infection.

Conclusion

Ten aging-related hub genes involved in HP infection were identified. This study revealed an association between aging and HP infection, and they may have a causal relationship.

Methods

Microarray data for HP infection were obtained from the Gene Expression Omnibus (GEO) database. Aging-related genes were obtained from the Molecular Signature Database (https://www.gsea-msigdb.org). Differential gene expression analysis was analysed using R software and the limma package to find DEGs. In addition, functional enrichment analysis of DEGs by using GO and KEGG and construction of protein‒protein interactions (PPIs) and hub genes were determined by using the STRING database and Cytoscape software. Additionally, immune infiltration and difference analysis between HP infection and control groups were performed with R software. A nomogram was constructed to predict the risk of infection with HP by using some hub genes that were strongly correlated with neutrophils.

Keywords

Helicobacter pylori (HP)agingimmune infiltrationhub genes

References

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Aging Research
Volume 1 Issue 1,
September 2023
Article number: 9340013
DOI: 10.26599/AGR.2023.9340013

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Cite this article:
Li H, Deng Y, Zeng H, et al. Identification of aging-related genes in Helicobacter pylori infection. Aging Research, 2023, 1(1): 9340013. https://doi.org/10.26599/AGR.2023.9340013

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Received: 21 August 2023
Revised: 30 August 2023
Accepted: 31 August 2023
Published: 23 October 2023
© The Author(s) 2023. Aging Research published by Tsinghua University Press.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.