Department of General Medicine, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China.
Department of Respiratory and Critical Care Medicine, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China.
Int J Chron Obstruct Pulmon Dis. 2022 Jan 4;17:13-24. doi: 10.2147/COPD.S333251. eCollection 2022.
Chronic obstructive pulmonary disease (COPD) is a major cause of death and morbidity worldwide. A better understanding of new biomarkers for COPD patients and their complex mechanisms in the progression of COPD are needed.
An algorithm was conducted to reveal the proportions of 22 subsets of immune cells in COPD samples. Differentially expressed immune-related genes (DE-IRGs) were obtained based on the differentially expressed genes (DEGs) of the GSE57148 dataset, and 1509 immune-related genes (IRGs) were downloaded from the ImmPort database. Functional enrichment analyses of DE-IRGs were conducted by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses and Ingenuity Pathway Analysis (IPA). We defined the DE-IRGs that had correlations with immune cells as hub genes. The potential interactions among the hub genes were explored by a protein-protein interaction (PPI) network.
The CIBERSORT results showed that lung tissue of COPD patients contained a greater number of resting NK cells, activated dendritic cells, and neutrophils than normal samples. However, the fractions of follicular helper T cells and resting dendritic cells were relatively lower. Thirty-eight DE-IRGs were obtained for further analysis. Functional enrichment analysis revealed that these DE-IRGs were significantly enriched in several immune-related biological processes and pathways. Notably, we also observed that DE-IRGs were associated with the coronavirus disease COVID-19 in the progression of COPD. After correlation analysis, six DE-IRGs associated with immune cells were considered hub genes, including AHNAK, SLIT2 TNFRRSF10C, CXCR1, CXCR2, and FCGR3B.
In the present study, we investigated immune-related genes as novel diagnostic biomarkers and explored the potential mechanism for COPD based on CIBERSORT analysis, providing a new understanding for COPD treatment.
慢性阻塞性肺疾病(COPD)是全球主要的死亡和发病原因。需要更好地了解 COPD 患者的新生物标志物及其在 COPD 进展中的复杂机制。
采用算法揭示 COPD 样本中 22 个免疫细胞亚群的比例。基于 GSE57148 数据集的差异表达基因(DEGs)获得差异表达免疫相关基因(DE-IRGs),并从 ImmPort 数据库下载 1509 个免疫相关基因(IRGs)。采用基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路分析以及 IPA 对 DE-IRGs 进行功能富集分析。我们将与免疫细胞具有相关性的 DE-IRGs 定义为枢纽基因。通过蛋白质-蛋白质相互作用(PPI)网络探索枢纽基因之间的潜在相互作用。
CIBERSORT 结果表明,COPD 患者的肺组织中静息自然杀伤细胞、活化树突状细胞和中性粒细胞的数量多于正常样本,而滤泡辅助 T 细胞和静息树突状细胞的比例相对较低。进一步分析获得了 38 个 DE-IRGs。功能富集分析表明,这些 DE-IRGs 在几个与免疫相关的生物学过程和途径中显著富集。值得注意的是,我们还观察到 DE-IRGs 与 COPD 进展中的冠状病毒病 COVID-19 相关。经过相关性分析,认为与免疫细胞相关的 6 个 DE-IRGs 为枢纽基因,包括 AHNAK、SLIT2 TNFRRSF10C、CXCR1、CXCR2 和 FCGR3B。
本研究通过 CIBERSORT 分析,探讨了免疫相关基因作为 COPD 的新型诊断生物标志物,为 COPD 的治疗提供了新的认识。