昆明医科大学学报2024，Vol.45Issue(3)：18-29,12.DOI:10.12259/j.issn.2095-610X.S20240303
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
摘要
Abstract
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.关键词
心房颤动/生物信息学分析/免疫浸润/炎症反应/生物标志物Key words
Atrial fibrillation/Bioinformatics analysis/Immune infiltration/Inflammatory response/Biomarkers分类
生物科学引用本文复制引用
杨曼,赵兴安,葛芸娜,秦娟,王玺雅,陶四明..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[J].昆明医科大学学报,2024,45(3):18-29,12.基金项目
云南省"高层次人才培养支持计划"入选名医专项基金资助项目(YNWR-MY-2020-024) （YNWR-MY-2020-024）
