Background. Coronary artery disease (CAD) is a type of heart disease with a high morbidity rate. This study is aimed at identifying potential biomarkers closely related to the progression of CAD. Materials and Methods. A microarray dataset of GSE59867 was downloaded from a public database, Gene Expression Omnibus, which included 46 cases of stable CAD without a history of myocardial infarction (MI), 30 cases of MI without heart failure (HF), and 34 cases of MI with HF. Differentially expressed long noncoding RNAs (DElncRNAs) and mRNAs (DEmRNAs) were identified by the limma package, and functions of DEmRNAs were annotated by Gene Ontology and KEGG pathways. In addition, weighed gene coexpression network analysis (WGCNA) was used to construct a coexpression network of DEmRNAs, and a disease-related lncRNAs-mRNAs-pathway network was constructed. Finally, the datasets of GSE61145 and GSE57338 were used to verify the expression levels of the above highly correlated candidates. Results. A total of 2362 upregulated mRNAs and 2816 downregulated mRNAs, as well as 235 upregulated lncRNAs and 113 downregulated lncRNAs were screened. These genes were significantly enriched in “cytokine-cytokine receptor interaction,” “RIG-I-like receptor signaling pathway,” and “natural killer cell-mediated cytotoxicity.” Five modules including 1201 DEmRNAs were enriched in WGCNA. A coexpression network including 19 DElncRNAs and 413 DEmRNAs was constructed. These genes were significantly enriched in “phosphatidylinositol signaling system,” “insulin signaling pathway,” and “MAPK signaling pathway”. Disease-related gene-pathway network suggested FASN in “insulin signaling pathway,” DGKZ in “phosphatidylinositol signaling system,” and TNFRSF1A in “MAPK signaling pathway” were involved in MI. Conclusion. FASN, DGKZ, and TNFRSF1A were revealed to be CAD progression-associated genes by WGCNA coexpression network analysis.

中文翻译：

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加权基因共表达网络分析筛选与冠状动脉疾病进展相关的潜在长链非编码 RNA 和基因。

背景。冠状动脉疾病（CAD）是一种高发病率的心脏病。本研究旨在确定与 CAD 进展密切相关的潜在生物标志物。材料和方法. 从公共数据库 Gene Expression Omnibus 下载 GSE59867 的微阵列数据集，其中包括 46 例无心肌梗塞 (MI) 病史的稳定型 CAD、30 例无心力衰竭 (HF) 的 MI 和 34 例有心力衰竭 (HF) 的 MI高频。limma包鉴定了差异表达的长链非编码RNA（DElncRNAs）和mRNAs（DEmRNAs），并通过Gene Ontology和KEGG通路注释了DEmRNAs的功能。此外，采用加权基因共表达网络分析（WGCNA）构建了DEmRNAs的共表达网络，构建了疾病相关的lncRNAs-mRNAs-通路网络。最后，使用GSE61145和GSE57338的数据集来验证上述高度相关候选的表达水平。结果. 共筛选出2362个上调的mRNA和2816个下调的mRNA，以及235个上调的lncRNA和113个下调的lncRNA。这些基因在“细胞因子-细胞因子受体相互作用”、“RIG-I 样受体信号通路”和“自然杀伤细胞介导的细胞毒性”中显着富集。WGCNA 中富集了包括 1201 个 DEmRNA 在内的五个模块。构建了一个包含 19 个 DElncRNA 和 413 个 DEmRNA 的共表达网络。这些基因在“磷脂酰肌醇信号系统”、“胰岛素信号通路”和“MAPK信号通路”中显着富集。疾病相关基因通路网络提示“胰岛素信号通路”中的FASN、“磷脂酰肌醇信号系统”中的DGKZ和TNFRSF1A在“MAPK 信号通路”中参与 MI。结论。WGCNA 共表达网络分析显示FASN、DGKZ和TNFRSF1A是 CAD 进展相关基因。