Department of Cardiology, Changshu Hospital Affiliated to Soochow University, Changshu No. 1 People's Hospital, Changshu, 215500, China.
Department of Anesthesia Surgery, Zhejiang Hospital, Hangzhou, 310000, China.
BMC Cardiovasc Disord. 2024 Jul 8;24(1):346. doi: 10.1186/s12872-024-04007-6.
We aimed to investigate key differentially expressed immune related genes in persistent atrial fibrillation.
Gene expression profiles were downloaded from Gene Expression Omnibus (GEO) using "GEO query" package. "limma" package and "sva" package were used to conduct normalization and eliminate batch effects, respectively. We screened out differentially expressed genes (DEGs) based on "limma" package with the standard of |log fold change (FC)| ≥ 1.5 and false discovery rate (FDR) < 0.05. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of DEGs were performed by "clusterProfler" package. We further applied LASSO to select key DEGs, and intersected key DEGs with immune related genes from ImmPort database. The ROC curve of each DEIRG was constructed to evaluate its diagnostic efficiency for AF.
A total of 103 DEGs we were screened out, of them, 48 genes were down-regulated and 55 genes were up-regulated. Result of functional enrichment analysis show that, most of DEGs were related to immune response, inflammation, and oxidative stress. Ultimately, CYBB, RORB, S100A12, and CHGB were determined as key DEIRGs, each of which displayed a favor efficiency for diagnosing persistent AF.
CYBB, RORB, S100A12, and CHGB were identified as key DEIRGs in persistent AF, and future studies are needed to further explore the underlying roles of CYBB, RORB, S100A12, and CHGB in persistent AF.
研究持续性心房颤动中关键差异表达的免疫相关基因。
使用“GEO 查询”包从基因表达综合数据库（GEO）下载基因表达谱。分别使用“limma”包和“sva”包进行归一化和消除批次效应。我们根据“limma”包筛选出差异表达基因（DEGs），标准为|log 倍数变化（FC）|≥1.5 和错误发现率（FDR）<0.05。使用“clusterProfler”包对 DEGs 进行基因本体论（GO）和京都基因与基因组百科全书（KEGG）富集分析。我们进一步应用 LASSO 选择关键 DEGs，并将其与 ImmPort 数据库中的免疫相关基因进行交集。构建每个 DEIRG 的 ROC 曲线，以评估其对 AF 的诊断效率。
共筛选出 103 个 DEGs，其中 48 个基因下调，55 个基因上调。功能富集分析结果表明，大多数 DEGs 与免疫反应、炎症和氧化应激有关。最终，CYBB、RORB、S100A12 和 CHGB 被确定为关键 DEIRGs，它们对诊断持续性 AF 均具有较高的效率。
CYBB、RORB、S100A12 和 CHGB 被鉴定为持续性 AF 中的关键 DEIRGs，需要进一步研究来探索 CYBB、RORB、S100A12 和 CHGB 在持续性 AF 中的潜在作用。
