Yang Rong, Yao Linpeng, Du Chengli, Wu Yihe
Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Department of Thoracic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ann Transl Med. 2021 Feb;9(3):267. doi: 10.21037/atm-21-193.
Atherosclerosis leads to the occurrence of cardiovascular diseases. However, the molecular mechanisms that contribute to atherosclerotic plaque rupture are incompletely characterized. We aimed to identify the genes related to atherosclerotic plaque progression that could serve as novel biomarkers and interventional targets for plaque progression.
The datasets of GSE28829 in early . advanced atherosclerotic plaques and those of GSE41571 in stable . ruptured plaques from Gene Expression Omnibus (GEO) were analyzed by using bioinformatics methods. In addition, we used quantitative reverse transcription polymerase chain reaction (qRT-PCR) to verify the expression level of core genes in a mouse atherosclerosis model.
There were 29 common differentially expressed genes (DEGs) between the GSE28829 and GSE41571 datasets, and the DEGs were mainly enriched in the chemokine signaling pathway and the infection pathway (P<0.05). We identified 6 core genes (, and ) in the protein-protein interaction (PPI) network, 3 of which (, , and ) were markedly enriched in the chemokine signaling pathway. qRT-PCR analysis showed that the messenger RNA levels of two core genes ( and ) increased significantly during plaque progression in the mouse atherosclerosis model.
In summary, bioinformatics techniques proved useful for the screening and identification of novel biomarkers of disease. A total of 29 DEGs and 6 core genes were linked to atherosclerotic plaque progression, in particular the and genes.
动脉粥样硬化会导致心血管疾病的发生。然而,导致动脉粥样硬化斑块破裂的分子机制尚未完全明确。我们旨在识别与动脉粥样硬化斑块进展相关的基因,这些基因可作为斑块进展的新型生物标志物和干预靶点。
利用生物信息学方法分析了来自基因表达综合数据库(GEO)的早期和晚期动脉粥样硬化斑块的GSE28829数据集以及稳定和破裂斑块的GSE41571数据集。此外,我们使用定量逆转录聚合酶链反应(qRT-PCR)在小鼠动脉粥样硬化模型中验证核心基因的表达水平。
GSE28829和GSE41571数据集之间有29个共同的差异表达基因(DEGs),这些DEGs主要富集于趋化因子信号通路和感染途径(P<0.05)。我们在蛋白质-蛋白质相互作用(PPI)网络中鉴定出6个核心基因(……),其中3个(……)在趋化因子信号通路中显著富集。qRT-PCR分析表明,在小鼠动脉粥样硬化模型的斑块进展过程中,两个核心基因(……)的信使核糖核酸水平显著升高。
总之,生物信息学技术被证明有助于筛选和鉴定疾病的新型生物标志物。共有29个DEGs和6个核心基因与动脉粥样硬化斑块进展相关,特别是……基因。