Suppr超能文献

通过综合生物信息学分析鉴定和验证急性心肌梗死中与巨噬细胞免疫相关的m7G相关基因。

Identification and validation of m7G-related genes related to macrophage immunity in acute myocardial infarction through comprehensive bioinformatics analysis.

作者信息

Li Shanghai, Quan Jinhai, Li Shisen, Li Shihai, Chen Can, Huang Ruina

机构信息

Affiliated Hospital of Guangdong Medical University, China.

Affiliated Hospital of Guangdong Medical University, China.

出版信息

Biochem Biophys Res Commun. 2025 May 26;760:151684. doi: 10.1016/j.bbrc.2025.151684. Epub 2025 Mar 25.

Abstract

BACKGROUND

Acute myocardial infarction (AMI) is a fatal disease related to immune cell activation; however, the pathological molecular mechanisms associated with AMI and immunity remain unclear. This study aims to explore m7G-related hub genes associated with immune cell characteristics in AMI through the bioinformatics method.

METHODS

Transcriptome sequencing data downloaded from GSE59867 (GPL6244) were used to screen m7G-related differentially expressed genes (DEGs) between AMI and non-AMI controls. Abnormal immune cell characteristics was analyzed by single-sample gene set enrichment analysis (ssGSEA) algorithm. Hub genes were screened from m7G-related DEGs by the support vector machine recursive feature elimination (SVM-RFE) algorithm and random forest tree model. The association of hub genes with immune cell types was analyzed by GSEA and Spearman correlation analysis. A mouse AMI model and hypoxia-stimulated macrophage model were established to verified the function of CYFIP1 on macropahges.

RESULTS

We identified significant differences in 21 types of immune cells and 13 m7G-related DEGs between AMI and non-AMI controls. m7G-related DEGs were enriched in nucleoside nuclear catabolism, RNA modification and translation regulation, the HIF-1 signaling pathway, etc. 111 AMI samples were divided into three clusters based on the cluster analysis of m7G-related DEG expression profiles, and immune cell types were significantly different in the three clusters. Four hub genes including CYFIP1, EIF4E2, IFIT5, and NCBP3 were screened and positively or negatively correlated with AMI. ROC curve verified the efficiency of the 4 hub genes in the diagnosis prediction models of AMI. CYFIP1 had the best prediction efficiency of than other 3 hub genes. GESA enrichment and Spearman correlation analysis found that hub genes were associated with inflammation and immune, especially CYFIP1 had a strong statistical relationship with macrophages, Monocyte, etc. By experiments, we found that CYFIP1 was upregulated in AMI patients and animal models, and knockdown of CYFIP1 inhibited hypoxia-mediated macrophage inflammatory response.

CONCLUSION

m7G-related hub genes are associated with immune cell characteristics in AMI, among which CYFIP1 may play a key role in the regulatory network of macrophage immune response.

摘要

背景

急性心肌梗死(AMI)是一种与免疫细胞激活相关的致命疾病;然而,与AMI和免疫相关的病理分子机制仍不清楚。本研究旨在通过生物信息学方法探索与AMI中免疫细胞特征相关的m7G相关枢纽基因。

方法

使用从GSE59867(GPL6244)下载的转录组测序数据筛选AMI与非AMI对照之间的m7G相关差异表达基因(DEG)。通过单样本基因集富集分析(ssGSEA)算法分析异常免疫细胞特征。通过支持向量机递归特征消除(SVM-RFE)算法和随机森林树模型从m7G相关DEG中筛选枢纽基因。通过GSEA和Spearman相关性分析分析枢纽基因与免疫细胞类型的关联。建立小鼠AMI模型和缺氧刺激的巨噬细胞模型以验证CYFIP1对巨噬细胞的功能。

结果

我们发现AMI与非AMI对照之间在21种免疫细胞类型和13个m7G相关DEG中存在显著差异。m7G相关DEG富集于核苷核分解代谢、RNA修饰和翻译调控、HIF-1信号通路等。基于m7G相关DEG表达谱的聚类分析将111个AMI样本分为三个簇,并且三个簇中的免疫细胞类型存在显著差异。筛选出包括CYFIP1、EIF4E2、IFIT5和NCBP3在内的四个枢纽基因,它们与AMI呈正相关或负相关。ROC曲线验证了这4个枢纽基因在AMI诊断预测模型中的有效性。CYFIP1的预测效率优于其他3个枢纽基因。GESA富集和Spearman相关性分析发现枢纽基因与炎症和免疫相关,尤其是CYFIP1与巨噬细胞、单核细胞等有很强的统计关系。通过实验,我们发现CYFIP1在AMI患者和动物模型中上调,并且敲低CYFIP1可抑制缺氧介导的巨噬细胞炎症反应。

结论

m7G相关枢纽基因与AMI中的免疫细胞特征相关,其中CYFIP1可能在巨噬细胞免疫反应的调控网络中起关键作用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验