Xu Yaochen, Ma Qinglan, Ren Jingxin, Chen Lei, Guo Wei, Feng Kaiyan, Zeng Zhenbing, Huang Tao, Cai Yudong
Department of Mathematics, School of Sciences, Shanghai University, Shanghai 200444, China.
School of Life Sciences, Shanghai University, Shanghai 200444, China.
Life (Basel). 2023 Apr 14;13(4):1011. doi: 10.3390/life13041011.
Corona Virus Disease 2019 (COVID-19) not only causes respiratory system damage, but also imposes strain on the cardiovascular system. Vascular endothelial cells and cardiomyocytes play an important role in cardiac function. The aberrant expression of genes in vascular endothelial cells and cardiomyocytes can lead to cardiovascular diseases. In this study, we sought to explain the influence of respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on the gene expression levels of vascular endothelial cells and cardiomyocytes. We designed an advanced machine learning-based workflow to analyze the gene expression profile data of vascular endothelial cells and cardiomyocytes from patients with COVID-19 and healthy controls. An incremental feature selection method with a decision tree was used in building efficient classifiers and summarizing quantitative classification genes and rules. Some key genes, such as MALAT1, MT-CO1, and CD36, were extracted, which exert important effects on cardiac function, from the gene expression matrix of 104,182 cardiomyocytes, including 12,007 cells from patients with COVID-19 and 92,175 cells from healthy controls, and 22,438 vascular endothelial cells, including 10,812 cells from patients with COVID-19 and 11,626 cells from healthy controls. The findings reported in this study may provide insights into the effect of COVID-19 on cardiac cells and further explain the pathogenesis of COVID-19, and they may facilitate the identification of potential therapeutic targets.
2019冠状病毒病（COVID-19）不仅会导致呼吸系统损伤，还会给心血管系统带来压力。血管内皮细胞和心肌细胞在心脏功能中发挥着重要作用。血管内皮细胞和心肌细胞中基因的异常表达会导致心血管疾病。在本研究中，我们试图解释严重急性呼吸综合征冠状病毒2（SARS-CoV-2）感染对血管内皮细胞和心肌细胞基因表达水平的影响。我们设计了一种基于先进机器学习的工作流程，以分析COVID-19患者和健康对照者的血管内皮细胞和心肌细胞的基因表达谱数据。在构建高效分类器以及总结定量分类基因和规则时，使用了带有决策树的增量特征选择方法。从104,182个心肌细胞（包括12,007个COVID-19患者的细胞和92,175个健康对照者的细胞）以及22,438个血管内皮细胞（包括10,812个COVID-19患者的细胞和11,626个健康对照者的细胞）的基因表达矩阵中提取了一些对心脏功能有重要影响的关键基因，如MALAT1、MT-CO1和CD36。本研究报告的结果可能为深入了解COVID-19对心脏细胞的影响提供见解，并进一步解释COVID-19的发病机制，还可能有助于识别潜在的治疗靶点。
