Kang Xin, Wen Xiaodong, Liang Jingqi, Liu Liang, Zhang Yan, Wang Qiong, Zhao Hongmou
Department of Sports Medicine, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Department of Foot and Ankle Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Front Cell Dev Biol. 2022 May 11;10:917907. doi: 10.3389/fcell.2022.917907. eCollection 2022.
The COVID-19 pandemic caused by the severe acute coronavirus disease 2 (SARS-CoV-2) virus represents an ongoing threat to human health and well-being. Notably, many COVID-19 patients suffer from complications consistent with osteoporosis (OP) following disease resolution yet the mechanistic links between SARS-CoV-2 infection and OP remain to be clarified. The present study was thus developed to explore the potential basis for this link by employing transcriptomic analyses to identify signaling pathways and biomarkers associated with OP and SARS-CoV-2. Specifically, a previously published RNA-sequencing dataset (GSE152418) from Gene Expression Omnibus (GEO) was used to identify the differentially expressed genes (DEGs) in OP patients and individuals infected with SARS-CoV-2 as a means of exploring the underlying molecular mechanisms linking these two conditions. In total, 2,885 DEGs were identified by analyzing the COVID-19 patient dataset, with shared DEGs then being identified by comparison of these DEGs with those derived from an OP patient dataset. Hub genes were identified through a series of bioinformatics approaches and protein-protein interaction analyses. Predictive analyses of transcription factor/gene interactions, protein/drug interactions, and DEG/miRNA networks associated with these DEGs were also conducted. Together, these data highlight promising candidate drugs with the potential to treat both COVID-19 and OP.
由严重急性冠状病毒2型（SARS-CoV-2）病毒引起的2019冠状病毒病大流行对人类健康和福祉构成持续威胁。值得注意的是，许多新冠患者在疾病康复后出现了与骨质疏松症（OP）相符的并发症，但SARS-CoV-2感染与OP之间的机制联系仍有待阐明。因此，本研究通过转录组分析来探索这种联系的潜在基础，以确定与OP和SARS-CoV-2相关的信号通路和生物标志物。具体而言，使用来自基因表达综合数据库（GEO）的一个先前发表的RNA测序数据集（GSE152418）来鉴定OP患者和感染SARS-CoV-2的个体中的差异表达基因（DEG），以此作为探索这两种情况之间潜在分子机制的一种手段。通过分析新冠患者数据集，共鉴定出2885个DEG，然后通过将这些DEG与来自OP患者数据集的DEG进行比较来鉴定共享的DEG。通过一系列生物信息学方法和蛋白质-蛋白质相互作用分析鉴定出枢纽基因。还对与这些DEG相关的转录因子/基因相互作用、蛋白质/药物相互作用和DEG/miRNA网络进行了预测分析。这些数据共同突出了有潜力治疗新冠和OP的有前景的候选药物。
