基于综合生物信息分析鉴定心房颤动相关炎症基因及其与免疫细胞浸润的关联

Identification of Atrial Fibrillation-related Inflammatory Genes and Their Association with Immune Cell Infiltration Based on Comprehensive Bioinformatic Analysis

目的鉴定心房颤动(atrial fibrillation,AF)患者的炎症相关基因,并探讨这些基因与浸润免疫细胞在AF的发生发展过程中可能的作用和机制。方法通过一系列的生物信息学分析结合机器学习算法识别AF的生物标志物,使用受试者操作特性曲线(receiver operating characteristic,ROC)验证关键基因的预测及诊断价值,采用Spearman相关分析明确关键基因与浸润免疫细胞的相关性。结果筛选出593个差异基因[|log2(fold change,FC)|>1,P<0.05],7种免疫细胞亚型(P<0.05),获得190个免疫相关差异基因,识别出3个生物标志物(IGF1、PTGS2和PPARG),相关性分析结果显示3个标志物与浸润免疫细胞显著相关(P<0.05)。结论IGF1、PTGS2和PPARG是AF的炎症相关基因,推测其与免疫细胞浸润过程和途径密切相关。

Objective To identify inflammation-related genes in atrial fibrillation(AF)and explore the possible role and mechanism of these genes and infiltrating immune cells in the development of AF.Methods A series of bioinformatics analysis combined with machine learning algorithms to identify biomarkers of AF,the receiver operating characteristic(ROC)curves were used to verify the prediction and diagnostic value of key genes,and Spearman correlation analysis was used to clarify the correlation between key genes and infiltrating immune cells.Results 593 differential genes(|log2(fold change,FC)|>1,P<0.05),7 immune cell subtypes(P<0.05)were selected,190 immune-related differential genes were obtained,3 biomarkers(IGF1,PTGS 2 and PPARG),and the correlation analysis showed that 3 markers were significantly associated with infiltrating immune cells(P<0.05).Conclusion IGF1,PTGS2 and PPARG are inflammation-related genes of AF,which are speculated to be closely related to the process and pathway of immune cell infiltration.