Wu Zhongji, Chen Xiaowen, Zhang Kangkang, Liu Zhenwei, Zhang Haidi, Zheng Zhaocong, Zhang Xiaodie, Chen Yubiao, Peng Yinghui, Li Hui, Huang Kaiyin, Tang Sixiang, Zhao Li, Chen Dehui
The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, People's Republic of China.
Guangzhou Medical University, Guangzhou, 510000, People's Republic of China.
J Inflamm Res. 2023 Aug 8;16:3303-3317. doi: 10.2147/JIR.S419845. eCollection 2023.
Bronchiolitis obliterans (BO) is a chronic disease that can arise as a complication of severe childhood pneumonia and can also impact the long-term survival of patients after lung transplantation. However, the precise molecular mechanism underlying BO remains unclear. We aimed to identify BO-associated hub genes and their molecular mechanisms.
BO-associated transcriptome datasets (GSE52761, GSE137169, and GSE94557) were downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs). Additional bioinformatics analyses, such as Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Protein-Protein Interaction (PPI) analyses, were performed to determine functional roles and DEG-associated regulatory networks. Prediction of hub genes using the 12 algorithms available in the Cytohubba plugin of Cytoscape software was also performed. Verification was performed using the BO mouse model.
Our results revealed 57 DEGs associated with BO, of which 18 were down-regulated and 39 were up-regulated. The Cytohubba plugin data further narrowed down the 57 DEGs into 9 prominent hub genes (CCR2, CD1D, GM2A, TFEC, MPEG1, CTSS, GPNMB, BIRC2, and CTSZ). Genes such as CCR2, TFEC, MPEG1, CTSS, and CTSZ were dysregulated in 2,3-butanedione-induced BO mice, whereas TFEC, CTSS, and CTSZ were dysregulated in nitric acid-induced BO mouse models.
Our study identified and validated four novel BO biomarkers, which may allow further investigation into the development of distinct BO diagnostic markers and novel therapeutic avenues.
闭塞性细支气管炎(BO)是一种慢性疾病,可作为重症儿童肺炎的并发症出现,也会影响肺移植患者的长期生存。然而,BO潜在的精确分子机制仍不清楚。我们旨在鉴定与BO相关的枢纽基因及其分子机制。
从基因表达综合数据库(GEO)下载与BO相关的转录组数据集(GSE52761、GSE137169和GSE94557)以鉴定差异表达基因(DEG)。进行了其他生物信息学分析,如基因本体论(GO)、京都基因与基因组百科全书(KEGG)和蛋白质-蛋白质相互作用(PPI)分析,以确定功能作用和与DEG相关的调控网络。还使用Cytoscape软件的Cytohubba插件中可用的12种算法预测枢纽基因。使用BO小鼠模型进行验证。
我们的结果揭示了57个与BO相关的DEG,其中18个下调,39个上调。Cytohubba插件数据进一步将这57个DEG缩小到9个突出的枢纽基因(CCR2、CD1D、GM2A、TFEC、MPEG1、CTSS、GPNMB、BIRC2和CTSZ)。CCR2、TFEC、MPEG1、CTSS和CTSZ等基因在2,3-丁二酮诱导的BO小鼠中表达失调,而TFEC、CTSS和CTSZ在硝酸诱导的BO小鼠模型中表达失调。
我们的研究鉴定并验证了四种新的BO生物标志物,这可能有助于进一步研究不同的BO诊断标志物的开发和新的治疗途径。