Identification of immune-related hub genes in chronic obstructive pulmonary disease.

Journal of the National Medical Association Pub Date : 2024-11-05 DOI:10.1016/j.jnma.2024.10.008

Lingyu Zhang, Liwei Zuo

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Abstract

Objective: As a prevalent persistent respiratory disease, chronic obstructive pulmonary disease (COPD) is featured by airflow limitation and chronic inflammation. This study focused on the identification of immune-related hub genes in COPD.

Methods: We employed the GSE38974 dataset to analyze differentially expressed genes (DEGs) of COPD. Then, we obtained COPD immune-related DEGs (COPD-IMDEGs) based on the intersection of DEGs and immune-related genes. Subsequently, we carried out Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses on COPD-IMDEGs. We established a protein-protein interaction network based on COPD-IMDEGs. The hub genes were determined by utilizing the Maximal Clique Centrality method. We utilized receiver operating characteristic (ROC) curves to analyze the clinical significance of hub genes in COPD. In addition, potential drugs targeting hub genes were predicted based on interactions between hub gene-corresponding proteins and drugs.

Results: A total of 45 COPD-IMDEGs were obtained through differential analysis. Enrichment analyses showed that COPD-IMDEGs were associated with cytokines, growth factors, and receptor ligands. Ten COPD-IMDEGs were identified as hub genes. As shown by ROC curves, these genes had potential value in identifying COPD patients. Drug prediction results showed that simvastatin and other drugs targeted hub genes.

Conclusion: This study analyzed the potential biological functions enriched by COPD-IMDEGs, identified ten genes as biological markers for diagnosing COPD, and predicted potential drugs for treating COPD.

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鉴定慢性阻塞性肺病中的免疫相关枢纽基因。

目的：慢性阻塞性肺疾病（COPD）是一种常见的呼吸系统顽疾，以气流受限和慢性炎症为主要特征。本研究的重点是识别 COPD 中与免疫相关的枢纽基因：方法：我们利用 GSE38974 数据集分析 COPD 的差异表达基因（DEGs）。然后，根据 DEGs 与免疫相关基因的交集，得到 COPD 免疫相关 DEGs（COPD-IMDEGs）。随后，我们对 COPD-IMDEGs 进行了基因本体和京都基因组百科全书富集分析。我们建立了基于 COPD-IMDEGs 的蛋白-蛋白相互作用网络。利用最大剪辑中心性方法确定了中心基因。我们利用接收器操作特征曲线（ROC）分析了枢纽基因在 COPD 中的临床意义。此外，我们还根据中枢基因对应的蛋白质与药物之间的相互作用，预测了针对中枢基因的潜在药物：结果：通过差异分析共获得 45 个 COPD-IMDEGs 。富集分析表明，COPD-IMDEGs 与细胞因子、生长因子和受体配体有关。有 10 个 COPD-IMDEG 被确定为枢纽基因。如 ROC 曲线所示，这些基因具有识别 COPD 患者的潜在价值。药物预测结果表明，辛伐他汀和其他药物都以枢纽基因为靶点：本研究分析了COPD-IMDEGs富集的潜在生物功能，确定了10个基因作为诊断COPD的生物标记，并预测了治疗COPD的潜在药物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Journal of the National Medical Association

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