脂质代谢相关基因在慢性阻塞性肺疾病中的鉴定与验证

Identification and validation of lipid metabolism-related genes in chronic obstructive pulmonary disease

  • 摘要: 目的:研究脂质代谢相关基因在慢性阻塞性肺疾病(COPD)中的表达,探讨脂质代谢关键基因在COPD 中的可能机制。方法:从GEO和GeneCards数据库中获取数据,通过GO富集和PPI网络分析,筛选出差异表达的脂质代谢基因。香烟暴露24W建立肺气肿小鼠模型,HE染色观察小鼠肺组织病理学改变;使用实时荧光定量聚合酶链式反应(RT-qPCR)检测小鼠肺组织中脂质代谢关键基因的mRNA相对表达水平;用香烟烟雾提取物干预正常人来源的肺上皮细胞系BEAS-2B,通过细胞增殖实验(CCK-8)法测定香烟烟雾提取物干预浓度,RT-qPCR测定BEAS-2B细胞中脂质代谢关键基因的相对表达量。结果:基于GEO 和GeneCards 数据库,筛选出5 个脂质代谢关键基因(PIK3CAPRKAG2GNB3PLCB2GLA),发现PIK3CAPRKAG2基因在吸烟相关COPD中的小气道上皮细胞中高表达,而GNB3PLCB2GLA基因的表达下调。成功构建的肺气肿小鼠模型,与野生型对照组比较,小鼠肺组织中PIK3CAPRKAG2基因的mRNA表达增加(P< 0.001),而GNB3PLCB2GLA基因的mRNA表达下调(P< 0.001),与香烟烟雾提取物干预的BEAS-2B细胞中基因表达情况一致。结论:脂质代谢关键基因PIK3CAPRKAG2GNB3PLCB2GLA参与了COPD的发生发展,可能是识别吸烟相关COPD的潜在生物标志物。

     

    Abstract: Objective: To investigate the expression of lipid metabolism-related genes in chronic obstructive pul-monary disease (COPD) and explore the possible mechanism of key lipid metabolism-related genes in COPD.Methods: Data were obtained from GEO and GeneCards databases, and the differentially expressed lipid metabo-lism genes were screened out by GO enrichment and PPI network analysis.A mouse model of emphysema was es-tablished after 24 weeks of cigarette exposure, and the lung histopathological changes were observed by HE stain-ing.Real-time fluorescence quantitative polymerase chain reaction(RT-qPCR)was used to detect the mRNA rela-tive expression levels of key genes in lipid metabolism in mouse lung tissue.Normal human lung epithelial cell line BEAS-2B was interfered with cigarette smoke extract.The intervention concentration of cigarette smoke ex-tract was determined by cell counting kit (CCK-8), and the relative expression levels of key lipid metabolism genes in BEAS-2B cells were determined by RT-qPCR.Results: Five key genes of lipid metabolism (PIK3CA, PRKAG2, GNB3, PLCB2, GLA) were screened based on GEO and GeneCards databases. PIK3CA and PRKAG2 genes were found to be highly expressed in small airway epithelial cells in smoking-related COPD, while GNB3, PLCB2 and GLA genes were down-regulated.Compared with the wild-type control group, the successfully con-structed emphysema mouse model showed that PIK3CA and PRKAG2 mRNA expressions increased (P< 0.001), while GNB3, PLCB2 and GLA mRNA expressions were down-regulated (P< 0.001), which was consis-tent with the gene expression in BEAS-2B cells inter-fered with cigarette smoke extract.Conclusion: Key lipid metabolism genes PIK3CA, PRKAG2, GNB3, PLCB2 and GLA are involved in the occurrence and development of COPD, and may be potential biomarkers for the identification of smoking-related COPD.

     

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