Department of Cardiology, The Affiliated Longyan First Hospital of Fujian Medical University, Longyan, Fujian 364000, China.
Division of Cardiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Comput Math Methods Med. 2022 Aug 26;2022:2877679. doi: 10.1155/2022/2877679. eCollection 2022.
Coronary heart disease (CHD) is an ischemic heart disease involving a variety of immune factors. This study was aimed at investigating unique immune and m6A patterns in patients with CHD by gene expression in peripheral blood mononuclear cells (PBMCs) and at identifying novel immune biomarkers.
The CIBERSORT algorithm and single-sample gene set enrichment analysis (ssGSEA) were applied to assess the population of specific infiltrating immunocytes. Weighted Gene Coexpression Network Analysis (WGCNA) was utilized on immune genes matching CHD. A prediction model based on core immune genes was constructed and verified by a machine learning model. Unsupervised cluster analysis identified various immune patterns in the CHD group according to the abundance of immune cells. Methylation of N6 adenosine- (m6A-) related gene was identified from the literature, and t-distributed stochastic neighbor embedding (t-SNE) analysis was used to determine the rationality of the m6A classification. The association between m6A-related genes and various immune cells was estimated using heat maps.
22/28 immune-associated cells differed between the CHD and normal groups, and a significant difference was detected in the expression of 21 m6A-related genes. The proportion of immune-related cells (activated CD4+ T cells and CD8+ T cells) in the peripheral blood of the CHD group was lower than that of the normal group. The immune genes were divided into four modules, of which the turquoise modules showed a significant association with coronary heart disease. Eight hub immune genes (, , , , , , , and ) can well distinguish the CHD group from the normal group. Two different immune patterns were identified in the CHD group. Interestingly, a significant association was detected between the m6A-related genes and immune cell abundance.
In conclusion, we identified different immune and m6A patterns in CHD. Thus, it could be speculated that the immune system plays a crucial role in CHD, and m6A is correlated with immune genes.
冠心病(CHD)是一种涉及多种免疫因素的缺血性心脏病。本研究旨在通过外周血单核细胞(PBMC)中的基因表达来研究 CHD 患者独特的免疫和 m6A 模式,并鉴定新的免疫生物标志物。
应用 CIBERSORT 算法和单样本基因集富集分析(ssGSEA)评估特定浸润免疫细胞群体。对与 CHD 匹配的免疫基因进行加权基因共表达网络分析(WGCNA)。基于核心免疫基因构建预测模型,并通过机器学习模型进行验证。根据免疫细胞丰度,对 CHD 组进行无监督聚类分析,以识别不同的免疫模式。从文献中确定 N6 腺苷甲基化(m6A)相关基因,并使用 t 分布随机邻域嵌入(t-SNE)分析确定 m6A 分类的合理性。使用热图估计 m6A 相关基因与各种免疫细胞的相关性。
CHD 组与正常组之间有 22/28 种免疫相关细胞存在差异,21 个 m6A 相关基因的表达存在显著差异。CHD 组外周血中与免疫相关的细胞(活化的 CD4+T 细胞和 CD8+T 细胞)比例低于正常组。免疫基因分为四个模块,其中绿松石模块与冠心病显著相关。八个核心免疫基因(,,,,,,和)可以很好地区分 CHD 组和正常组。在 CHD 组中鉴定出两种不同的免疫模式。有趣的是,m6A 相关基因与免疫细胞丰度之间存在显著相关性。
总之,我们在 CHD 中发现了不同的免疫和 m6A 模式。因此,可以推测免疫系统在 CHD 中起关键作用,并且 m6A 与免疫基因相关。