Dinh PhongSon, Peng JunHua, Tran ThanhLoan, Wu DongFeng, Tran ChauMyThanh, Dinh ThiPhuongHoai, Pan ShangLing
Departments of Pathophysiology, Guangxi Medical University, Nanning, China.
College of Medicine and Pharmacy, Duy Tan University, Danang, Vietnam.
Front Cardiovasc Med. 2023 Mar 14;10:1104223. doi: 10.3389/fcvm.2023.1104223. eCollection 2023.
To evaluate the hsa_circ_0001445 level in peripheral blood leukocytes of patients with coronary heart disease (CHD) and its related clinical factors, and predict its circRNA-miRNA-mRNA regulatory network in CHD pathogenesis bioinformatics analysis
Peripheral blood leukocytes were isolated from the whole blood samples of 94 CHD patients (aged 65.96 ± 9.78 years old) and 126 healthy controls (aged 60.75 ± 8.81 years old). qRT-PCR was used to quantify the expression level of circRNA and subsequently analyze its association with CHD clinical parameters. Via bioinformatics algorithm and GEO datasets, differential miRNA expression was evaluated using the Limma package. A miRNA-mRNA regulatory network was predicted by cyTargetLinker. ClusterProfiler was employed to perform functional enrichment analysis of the circRNA network to investigate its role in CHD pathogenesis.
The expression of hsa_circ_0001445 in peripheral blood leukocytes of CHD patients was downregulated compared with that of healthy controls. Positive correlations were evident between hsa_circ_0001445 expression level and the levels of hemoglobin, triglycerides, high- and low-density lipoprotein cholesterol. A significant negative correlation was also found between hsa_circ_0001445 expression level and age and the neutrophil level. Low expression of hsa_circ_0001445 exhibited a discriminatory ability between CHD patients and healthy controls with a sensitivity of 67.5% and a specificity of 76.6% ( < 0.05). By bioinformatics analysis, 405 gene ontology terms were identified. The Kyoto Encyclopedia of Genes and Genomes terms focused principally on the PI3K-Akt signaling pathway. hsa_circ_0001445 was associated with the expression of three miRNAs that may regulate 18 genes involved in KEGG processes: hsa-miR-507, hsa-miR-375-3p, and hsa-miR-942-5p.
The hsa_circ_0001445 level in peripheral blood leukocytes may serve as a biomarker for CHD diagnosis. Our work on circRNA-miRNA-mRNA networks suggests a potential role for hsa_circ_0001445 in CHD development.
评估冠心病(CHD)患者外周血白细胞中hsa_circ_0001445水平及其相关临床因素,并通过生物信息学分析预测其在CHD发病机制中的circRNA-miRNA-mRNA调控网络。
从94例CHD患者(年龄65.96±9.78岁)和126例健康对照者(年龄60.75±8.81岁)的全血样本中分离外周血白细胞。采用qRT-PCR定量circRNA表达水平,随后分析其与CHD临床参数的关联。通过生物信息学算法和GEO数据集,使用Limma软件包评估差异miRNA表达。通过cyTargetLinker预测miRNA-mRNA调控网络。采用ClusterProfiler对circRNA网络进行功能富集分析,以研究其在CHD发病机制中的作用。
与健康对照者相比,CHD患者外周血白细胞中hsa_circ_0001445的表达下调。hsa_circ_0001445表达水平与血红蛋白、甘油三酯、高密度脂蛋白胆固醇和低密度脂蛋白胆固醇水平呈正相关。hsa_circ_0001445表达水平与年龄和中性粒细胞水平也呈显著负相关。hsa_circ_0001445低表达在CHD患者和健康对照者之间具有鉴别能力,敏感性为67.5%,特异性为76.6%(P<0.05)。通过生物信息学分析,鉴定出405个基因本体术语。京都基因与基因组百科全书术语主要集中在PI3K-Akt信号通路。hsa_circ_0001445与三种miRNA的表达相关,这三种miRNA可能调控参与KEGG过程的18个基因:hsa-miR-507、hsa-miR-375-3p和hsa-miR-942-5p。
外周血白细胞中hsa_circ_0001445水平可能作为CHD诊断的生物标志物。我们对circRNA-miRNA-mRNA网络的研究表明hsa_circ_0001445在CHD发展中具有潜在作用。