Qi Peng, Huang Mengjie, Li Tanshi
Department of Emergency, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Front Genet. 2022 May 25;13:889348. doi: 10.3389/fgene.2022.889348. eCollection 2022.
A high proportion of critically ill patients with coronavirus disease 2019 (COVID-19) experience thrombosis, and there is a strong correlation between anticoagulant therapy and the COVID-19 survival rate, indicating that common COVID-19 and thrombosis targets have potential therapeutic value for severe COVID-19.Gene expression profiling data were downloaded from Gene Expression Omnibus (GEO), and common differentially expressed genes (co-DEGs) were identified. The potential biological functions of these co-DEGs were explored by functional enrichment analysis, and protein-protein interaction (PPI) networks were constructed to elucidate the molecular mechanisms of the co-DEGs. Finally, hub genes in the co-DEG network were identified, and correlation analysis was performed.We identified 8320 upregulated genes and 7651 downregulated genes from blood samples of COVID-19 patients and 368 upregulated genes and 240 downregulated genes from blood samples of thrombosis patients. The enriched cellular component terms were mainly related to cytosolic ribosomes and ribosomal subunits. The enriched molecular function terms were mainly related to structural constituents of ribosomes and electron transfer activity. Construction of the PPI network and identification of hub genes ultimately confirmed that RPS7, IGF1R, DICER1, ERH, MCTS1, and TNPO1 were jointly upregulated hub genes, and FLNA and PXN were jointly downregulated hub genes.The identification of novel potential biomarkers provides new options for treating COVID-19-related thrombosis and reducing the rate of severe COVID-19.
高比例的2019冠状病毒病（COVID-19）重症患者会出现血栓形成，并且抗凝治疗与COVID-19生存率之间存在很强的相关性，这表明常见的COVID-19和血栓形成靶点对重症COVID-19具有潜在的治疗价值。从基因表达综合数据库（GEO）下载基因表达谱数据，并鉴定常见的差异表达基因（共差异表达基因）。通过功能富集分析探索这些共差异表达基因的潜在生物学功能，并构建蛋白质-蛋白质相互作用（PPI）网络以阐明共差异表达基因的分子机制。最后，鉴定共差异表达基因网络中的枢纽基因，并进行相关性分析。我们从COVID-19患者的血液样本中鉴定出8320个上调基因和7651个下调基因，从血栓形成患者的血液样本中鉴定出368个上调基因和240个下调基因。富集的细胞成分术语主要与胞质核糖体和核糖体亚基有关。富集的分子功能术语主要与核糖体的结构成分和电子传递活性有关。PPI网络的构建和枢纽基因的鉴定最终证实，RPS7、IGF1R、DICER1、ERH、MCTS1和TNPO1是共同上调的枢纽基因，而FLNA和PXN是共同下调的枢纽基因。新型潜在生物标志物的鉴定为治疗COVID-19相关血栓形成和降低重症COVID-19发生率提供了新的选择。
