The goal of this study is to reveal the hub genes and molecular mechanisms of the coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS) based on the genome-wide RNA sequencing dataset. The RNA sequencing dataset of COVID-19 ARDS was obtained from GSE163426. A total of 270 differentially expressed genes (DEGs) were identified between COVID-19 ARDS and control group patients. Functional enrichment analysis of DEGs suggests that these DEGs may be involved in the following biological processes: response to cytokine, G-protein coupled receptor activity, ionotropic glutamate receptor signalling pathway and G-protein coupled receptor signalling pathway. By using the weighted correlation network analysis approach to analyse these DEGs, 10 hub DEGs that may play an important role in COVID-19 ARDS were identified. A total of 67 potential COVID-19 ARDS targetted drugs were identified by a complement map analysis. Immune cell infiltration analysis revealed that the levels of T cells CD4 naive, T cells follicular helper, macrophages M1 and eosinophils in COVID-19 ARDS patients were significantly different from those in control group patients. In conclusion, this study identified 10 COVID-19 ARDS-related hub DEGs and numerous potential molecular mechanisms through a comprehensive analysis of the RNA sequencing dataset and also revealed the difference in immune cell infiltration of COVID-19 ARDS.

中文翻译：

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RNA测序数据集的综合研究揭示了2019冠状病毒病急性呼吸窘迫综合征的核心基因和分子机制。


本研究的目标是基于全基因组RNA测序数据集揭示2019冠状病毒病（COVID-19）急性呼吸窘迫综合征（ARDS）的中心基因和分子机制。 COVID-19 ARDS 的 RNA 测序数据集来自 GSE163426。在 COVID-19 ARDS 和对照组患者之间共鉴定出 270 个差异表达基因 (DEG)。 DEGs的功能富集分析表明，这些DEGs可能参与以下生物学过程：细胞因子响应、G蛋白偶联受体活性、离子型谷氨酸受体信号通路和G蛋白偶联受体信号通路。通过使用加权相关网络分析方法对这些DEG进行分析，确定了10个可能在COVID-19 ARDS中发挥重要作用的中心DEG。通过补体图谱分析，总共鉴定出了 67 种潜在的 COVID-19 ARDS 靶向药物。免疫细胞浸润分析显示，COVID-19 ARDS患者的CD4幼稚T细胞、滤泡辅助T细胞、巨噬细胞M1和嗜酸性粒细胞的水平与对照组患者显着不同。总之，本研究通过对RNA测序数据集的综合分析，确定了10个与COVID-19 ARDS相关的中心DEG和众多潜在的分子机制，并揭示了COVID-19 ARDS免疫细胞浸润的差异。