Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.
Front Immunol. 2021 Aug 24;12:729776. doi: 10.3389/fimmu.2021.729776. eCollection 2021.
Coronavirus disease 2019 (COVID-19) pandemic is caused by the novel coronavirus that has spread rapidly around the world, leading to high mortality because of multiple organ dysfunction; however, its underlying molecular mechanism is unknown. To determine the molecular mechanism of multiple organ dysfunction, a bioinformatics analysis method based on a time-order gene co-expression network (TO-GCN) was performed. First, gene expression profiles were downloaded from the gene expression omnibus database (GSE161200), and a TO-GCN was constructed using the breadth-first search (BFS) algorithm to infer the pattern of changes in the different organs over time. Second, Gene Ontology enrichment analysis was used to analyze the main biological processes related to COVID-19. The initial gene modules for the immune response of different organs were defined as the research object. The STRING database was used to construct a protein-protein interaction network of immune genes in different organs. The PageRank algorithm was used to identify five hub genes in each organ. Finally, the Comparative Toxicogenomics Database played an important role in exploring the potential compounds that target the hub genes. The results showed that there were two types of biological processes: the body's stress response and cell-mediated immune response involving the lung, trachea, and olfactory bulb (olf) after being infected by COVID-19. However, a unique biological process related to the stress response is the regulation of neuronal signals in the brain. The stress response was heterogeneous among different organs. In the lung, the regulation of DNA morphology, angiogenesis, and mitochondrial-related energy metabolism are specific biological processes related to the stress response. In particular, an effect on tracheal stress response was made by the regulation of protein metabolism and rRNA metabolism-related biological processes, as biological processes. In the olf, the distinctive stress responses consist of neural signal transmission and brain behavior. In addition, myeloid leukocyte activation and myeloid leukocyte-mediated immunity in response to COVID-19 can lead to a cytokine storm. Immune genes such as , , , , , , , , , , , , , , and were predicted to be the hub genes in the cytokine storm. Furthermore, we inferred that resveratrol, acetaminophen, dexamethasone, estradiol, statins, curcumin, and other compounds are potential target drugs in the treatment of COVID-19.
新型冠状病毒导致的 2019 年冠状病毒病(COVID-19)大流行迅速在全球范围内传播,导致多器官功能障碍的高死亡率;然而,其潜在的分子机制尚不清楚。为了确定多器官功能障碍的分子机制,采用基于时间顺序基因共表达网络(TO-GCN)的生物信息学分析方法。首先,从基因表达综合数据库(GSE161200)下载基因表达谱,并使用广度优先搜索(BFS)算法构建 TO-GCN,以推断不同器官随时间变化的模式。其次,进行基因本体论富集分析,以分析与 COVID-19 相关的主要生物学过程。将不同器官免疫反应的初始基因模块定义为研究对象。使用 STRING 数据库构建不同器官免疫基因的蛋白质-蛋白质相互作用网络。使用 PageRank 算法识别每个器官中的五个枢纽基因。最后,比较毒理学基因组数据库在探索针对枢纽基因的潜在化合物方面发挥了重要作用。结果表明,存在两种生物学过程:感染 COVID-19 后,肺部、气管和嗅球(olf)涉及身体的应激反应和细胞介导的免疫反应。然而,与应激反应相关的独特生物学过程是调节大脑中的神经元信号。不同器官之间的应激反应存在异质性。在肺部,DNA 形态、血管生成和与线粒体相关的能量代谢的调节是与应激反应相关的特定生物学过程。特别是,蛋白质代谢和 rRNA 代谢相关生物学过程的调节对气管应激反应有影响。在 olf 中,独特的应激反应包括神经信号传递和大脑行为。此外,髓样白细胞激活和髓样白细胞介导的对 COVID-19 的免疫反应会导致细胞因子风暴。预测 、 、 、 、 、 、 、 、 、 、 、 和 等免疫基因是细胞因子风暴的枢纽基因。此外,我们推断白藜芦醇、对乙酰氨基酚、地塞米松、雌二醇、他汀类药物、姜黄素和其他化合物可能是 COVID-19 治疗的潜在靶向药物。