Identification of genes associated with childhood asthma based on bioinformatics and immunoassay

  • ZHAO Wei ,
  • WEI Guangyou
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  • 1. School of Medicine, Anhui University of Science and Technology, Huainan 232000, China;
    2. Bozhou People's Hospital

Received date: 2023-11-24

  Online published: 2024-11-26

Abstract

Objective: To identify the related genes in patients with childhood asthma (CA) based on bioinformatics and immunoassay, and to explore its potential value in the diagnosis of CA. Methods: The GSE27011 data set was downloaded from the Gene Expression Omnibus (GEO) database, and the differentially expressed genes were screened by RStudio. The immune differences between the disease group and the normal group were analyzed respectively. The PPI network was drawn and the Hub genes were screened. The Hub genes were used to select the genes most related to immunity, and the prediction model was constructed by using the screened genes to make a nomogram. Finally, the independent GSE18965 data set was selected for verification. Results: A total of 37 differentially expressed genes were obtained. The difference analysis of immune cells showed that the levels of natural killer cells and plasma cell-like dendritic cells in CA were higher, and the difference of immune function showed that the cytotoxic activity of CA and the level of promoting inflammatory immune function were higher. Ten Hub genes were selected through the PPI network, and then five genes most related to immunity were screened, namely KLRF1, KLRD1, PRF1, IL2RB, and NCAM1. Using five genes to construct models and verify, it was found that KLRF1, KLRD1, PRF1 genes and CA had high predictive diagnostic value. Conclusion: The identified KLRF1, KLRD1 and PRF1 genes may be biomarkers for the diagnosis of CA, and natural killer cells may be a potential therapeutic target for CA.

Cite this article

ZHAO Wei , WEI Guangyou . Identification of genes associated with childhood asthma based on bioinformatics and immunoassay[J]. Journal of Baotou Medical College, 2024 , 40(11) : 19 -24 . DOI: 10.16833/j.cnki.jbmc.2024.11.005

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