Li Xin-Yu, Wang Jing-Bing, An Hong-Bang, Wen Ming-Zhe, You Jian-Xiong, Yang Xi-Tao
Department of Interventional Therapy, Multidisciplinary Team of Vascular Anomalies, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, Shanghai, China.
Department of Neurosurgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, Shanghai, China.
Front Med (Lausanne). 2022 Aug 2;9:928637. doi: 10.3389/fmed.2022.928637. eCollection 2022.
SARS-CoV-2 causes coronavirus disease 2019 (COVID-19), a new coronavirus pneumonia, and containing such an international pandemic catastrophe remains exceedingly difficult. Asthma is a severe chronic inflammatory airway disease that is becoming more common around the world. However, the link between asthma and COVID-19 remains unknown. Through bioinformatics analysis, this study attempted to understand the molecular pathways and discover potential medicines for treating COVID-19 and asthma.
To investigate the relationship between SARS-CoV-2 and asthma patients, a transcriptome analysis was used to discover shared pathways and molecular signatures in asthma and COVID-19. Here, two RNA-seq data (GSE147507 and GSE74986) from the Gene Expression Omnibus were used to detect differentially expressed genes (DEGs) in asthma and COVID-19 patients to find the shared pathways and the potential drug candidates.
There were 66 DEGs in all that were classified as common DEGs. Using a protein-protein interaction (PPI) network created using various bioinformatics techniques, five hub genes were found. We found that asthma has some shared links with the progression of COVID-19. Additionally, protein-drug interactions with common DEGs were also identified in the datasets.
We investigated possible links between COVID-19 and asthma using bioinformatics databases, which might be useful in treating COVID-19 patients. More studies on populations affected by these diseases are needed to elucidate the molecular mechanism behind their association.
严重急性呼吸综合征冠状病毒2型（SARS-CoV-2）引发2019冠状病毒病（COVID-19），即一种新型冠状病毒肺炎，而遏制这样一场国际大流行灾难极具难度。哮喘是一种严重的慢性炎症性气道疾病，在全球正变得越来越普遍。然而，哮喘与COVID-19之间的联系仍不明晰。通过生物信息学分析，本研究试图了解分子途径并发现治疗COVID-19和哮喘的潜在药物。
为研究SARS-CoV-2与哮喘患者之间的关系，采用转录组分析来发现哮喘和COVID-19中的共同途径及分子特征。在此，使用来自基因表达综合数据库的两个RNA测序数据（GSE147507和GSE74986）来检测哮喘和COVID-19患者中的差异表达基因（DEG），以找出共同途径和潜在的候选药物。
总共发现66个DEG被归类为共同DEG。利用各种生物信息学技术构建蛋白质-蛋白质相互作用（PPI）网络，发现了5个枢纽基因。我们发现哮喘与COVID-19的进展存在一些共同联系。此外，数据集中还鉴定了与共同DEG的蛋白质-药物相互作用。
我们利用生物信息学数据库研究了COVID-19与哮喘之间可能的联系，这可能有助于治疗COVID-19患者。需要对受这些疾病影响的人群进行更多研究，以阐明它们之间关联背后的分子机制。
