目的: 基于生物信息和免疫分析识别儿童哮喘(childhood Asthma, CA)患者中相关基因,旨在探索其在CA诊断中的潜在价值。方法: 通过基因表达综合数据库(GEO)下载GSE27011数据集,利用R Studio筛选差异表达基因,分别分析疾病组与正常组之间的免疫差异,绘制 PPI网络及筛选Hub基因,运用Hub基因选出与免疫最相关的基因,利用筛选基因构建预测模型做列线图,最后选取独立GSE18965数据集进行验证。结果: 数据集共获得37个基因差异表达。免疫细胞差异分析显示CA的自然杀伤细胞、浆细胞样树突状细胞水平较高,免疫功能差异显示CA的细胞毒活性、促进炎症免疫功能水平较高。通过PPI网络选出10个Hub基因,然后筛选出5个与免疫最相关的基因,分别为KLRF1、KLRD1、PRF1、IL2RB、NCAM1。利用5个基因构建模型及验证,发现KLRF1、KLRD1、PRF1基因对CA具有较高的预测诊断价值。结论: 研究鉴定出的KLRF1、KLRD1、PRF1基因可能成为诊断CA的生物标记物,自然杀伤细胞可能是CA的潜在治疗靶点。
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.
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