PDF(Pubmed)
Abstract：
Guillain-Barré syndrome (GBS) is a medical condition characterized by the immune system of the body attacking the peripheral nerves, including those in the spinal nerve roots, peripheral nerves, and cranial nerves. It can cause limb weakness, abnormal sensations, and facial nerve paralysis. Some studies have reported clinical cases associated with the severe coronavirus disease 2019 (COVID-19) and GBS, but how COVID-19 affects GBS is unclear.
We utilized bioinformatics techniques to explore the potential genetic connection between COVID-19 and GBS. Differential expression of genes (DEGs) related to COVID-19 and GBS was collected from the Gene Expression Omnibus (GEO) database. By taking the intersection, we obtained shared DEGs for COVID-19 and GBS. Subsequently, we utilized bioinformatics analysis tools to analyze common DEGs, conducting functional enrichment analysis and constructing Protein-protein interaction networks (PPI), Transcription factors (TF) -gene networks, and TF-miRNA networks. Finally, we validated our findings by constructing the Receiver Operating Characteristic (ROC) curves.
This study utilizes bioinformatics tools for the first time to investigate the close genetic relationship between COVID-19 and GBS. CAMP, LTF, DEFA1B, SAMD9, GBP1, DDX60, DEFA4, and OAS3 are identified as the most significant interacting genes between COVID-19 and GBS. In addition, the signaling pathway of NOD-like receptors is believed to be essential in the link between COVID-19 and GBS.
We utilized bioinformatics techniques to explore the potential genetic connection between COVID-19 and GBS. Differential expression of genes (DEGs) related to COVID-19 and GBS was collected from the Gene Expression Omnibus (GEO) database. By taking the intersection, we obtained shared DEGs for COVID-19 and GBS. Subsequently, we utilized bioinformatics analysis tools to analyze common DEGs, conducting functional enrichment analysis and constructing Protein-protein interaction networks (PPI), Transcription factors (TF) -gene networks, and TF-miRNA networks. Finally, we validated our findings by constructing the Receiver Operating Characteristic (ROC) curves.
This study utilizes bioinformatics tools for the first time to investigate the close genetic relationship between COVID-19 and GBS. CAMP, LTF, DEFA1B, SAMD9, GBP1, DDX60, DEFA4, and OAS3 are identified as the most significant interacting genes between COVID-19 and GBS. In addition, the signaling pathway of NOD-like receptors is believed to be essential in the link between COVID-19 and GBS.
摘要：
■格林-巴利综合征（GBS）是一种医学疾病，其特征是身体的免疫系统攻击周围神经，包括那些在脊神经根中的,周围神经,和颅神经。它会导致四肢无力，异常的感觉,面神经麻痹.一些研究报告了与2019年严重冠状病毒病(COVID-19)和GBS相关的临床病例，但COVID-19如何影响GBS尚不清楚。
■我们利用生物信息学技术探索了COVID-19与GBS之间的潜在遗传联系。从基因表达综合（GEO）数据库中收集与COVID-19和GBS相关的基因差异表达（DEGs）。通过走十字路口，我们获得了COVID-19和GBS的共享DEG。随后，我们利用生物信息学分析工具来分析常见的DEG，进行功能富集分析并构建蛋白质-蛋白质相互作用网络（PPI），转录因子（TF）-基因网络，和TF-miRNA网络。最后,我们通过构建接收器工作特性（ROC）曲线验证了我们的发现。
■这项研究首次利用生物信息学工具来调查COVID-19与GBS之间的紧密遗传关系。CAMP,LTF,DEFA1B,SAMD9、GBP1、DDX60、DEFA4和OAS3被认为是COVID-19和GBS之间最重要的相互作用基因。此外,NOD样受体的信号通路被认为在COVID-19和GBS之间的联系中至关重要。
■我们利用生物信息学技术探索了COVID-19与GBS之间的潜在遗传联系。从基因表达综合（GEO）数据库中收集与COVID-19和GBS相关的基因差异表达（DEGs）。通过走十字路口，我们获得了COVID-19和GBS的共享DEG。随后，我们利用生物信息学分析工具来分析常见的DEG，进行功能富集分析并构建蛋白质-蛋白质相互作用网络（PPI），转录因子（TF）-基因网络，和TF-miRNA网络。最后,我们通过构建接收器工作特性（ROC）曲线验证了我们的发现。
■这项研究首次利用生物信息学工具来调查COVID-19与GBS之间的紧密遗传关系。CAMP,LTF,DEFA1B,SAMD9、GBP1、DDX60、DEFA4和OAS3被认为是COVID-19和GBS之间最重要的相互作用基因。此外,NOD样受体的信号通路被认为在COVID-19和GBS之间的联系中至关重要。
