Yang Zhijia, Ma Haifang, Liu Wei
The Third Department of Cardiovascular Medicine, Handan Central Hospital, Handan, Hebei 056002, P.R. China.
The First Department of Cardiovascular Medicine, Affiliated Hospital of Hebei University of Technology, Handan, Hebei 056002, P.R. China.
Exp Ther Med. 2020 Oct;20(4):3595-3614. doi: 10.3892/etm.2020.9121. Epub 2020 Aug 13.
Coronary heart disease (CHD) is on the increase in developing countries, where lifestyle choices such as smoking, bad diet, and no exercise contribute and increase the incidence of high blood pressure and high cholesterol levels to cause CHD. Through utilization of a biomarker-based approach for developing interventions, the aim of the study was to identify differentially expressed genes (DEGs) and their association and impact on various bio-targets. The microarray datasets of both healthy and CHD patients were analyzed to identify the DEGs and their interactions using Gene Ontology, PANTHER, Reactome, and STRING (for the possible associated genes with multiple targets). Our data mining approach suggests that the DEGs were associated with molecular functions, including protein binding (75%) and catalytic activity (56%); biological processes such as cellular process (83%), biological regulation (57%), and metabolic process (44%); and cellular components such as cell (65%) and organelle (58%); as well as other associations including apoptosis, inflammatory, cell development and metabolic pathways. The molecular functions were further analyzed, and protein binding in particular was analyzed using network analysis to determine whether there was a clear association with CHD and disease. The ingenuity pathway analysis revealed pathways related to cell cholesterol biosynthesis, the immune system including cytokinin signaling, in which, the understanding of DEGs is crucial to predict the advancement of preventive strategies. Results of the present study showed that, there is a need to validate the top DEGs to rule out their molecular mechanism in heart failure caused by CHD.
冠心病（CHD）在发展中国家呈上升趋势，在这些国家，吸烟、不良饮食和缺乏运动等生活方式选择会导致高血压和高胆固醇水平的发生率上升，进而引发冠心病。通过利用基于生物标志物的方法来制定干预措施，本研究的目的是识别差异表达基因（DEGs）及其与各种生物靶点的关联和影响。分析了健康人和冠心病患者的微阵列数据集，以使用基因本体论、PANTHER、Reactome和STRING（用于多个靶点的可能相关基因）来识别DEGs及其相互作用。我们的数据挖掘方法表明，DEGs与分子功能相关，包括蛋白质结合（75%）和催化活性（56%）；生物过程如细胞过程（83%）、生物调节（57%）和代谢过程（44%）；细胞成分如细胞（65%）和细胞器（58%）；以及其他关联，包括细胞凋亡、炎症、细胞发育和代谢途径。对分子功能进行了进一步分析，特别是使用网络分析对蛋白质结合进行了分析，以确定其与冠心病和疾病是否存在明确关联。 Ingenuity通路分析揭示了与细胞胆固醇生物合成、包括细胞因子信号传导在内的免疫系统相关的通路，其中，对DEGs的理解对于预测预防策略的进展至关重要。本研究结果表明，有必要验证顶级DEGs，以排除其在冠心病所致心力衰竭中的分子机制。
