Sui Jing, Zhang Yanni, Zhang Linjie, Xia Hui
Research Institute for Environment and Health, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Int J Mol Sci. 2025 Jan 22;26(3):911. doi: 10.3390/ijms26030911.
Exposure to air pollution, especially fine particulate matter (PM2.5), is closely linked to various adverse health effects, particularly in the respiratory system. The present study was designed to investigate the lncRNA-mRNA interactions in PM2.5-induced lung cell injury using weighted gene co-expression network analysis (WGCNA). We downloaded the gene expression data of GSE138870 from the Gene Expression Omnibus (GEO) database and screened for differentially expressed lncRNAs and mRNAs. We constructed co-expression modules with WGCNA. Furthermore, functional enrichment analysis was also performed. We also constructed lncRNA-mRNA co-expression networks and lncRNA-mRNA-pathway networks to identify key regulatory relationships. The results revealed several modules significantly correlated with PM2.5-induced lung injury, such as the turquoise and blue modules. Genes within these modules were enriched in pathways related to signal transduction, metabolism, and cancer. Hub lncRNAs in the turquoise module, including LOC100129034 and CROCCP2, were found to be co-expressed with mRNAs involved in apoptosis and proliferation regulation. In the blue module, lnc-CLVS2-2 and GARS1-DT were connected to genes related to cell migration, invasion, and lung injury. These findings contribute novel perspectives to the molecular mechanisms involved in PM2.5-induced lung injury and suggest that WGCNA could be a valuable tool for predicting and understanding this disease process.
暴露于空气污染,尤其是细颗粒物(PM2.5),与各种不良健康影响密切相关,特别是在呼吸系统方面。本研究旨在使用加权基因共表达网络分析(WGCNA)来研究PM2.5诱导的肺细胞损伤中的lncRNA-mRNA相互作用。我们从基因表达综合数据库(GEO)下载了GSE138870的基因表达数据,并筛选出差异表达的lncRNA和mRNA。我们用WGCNA构建共表达模块。此外,还进行了功能富集分析。我们还构建了lncRNA-mRNA共表达网络和lncRNA-mRNA-通路网络,以识别关键调控关系。结果揭示了几个与PM2.5诱导的肺损伤显著相关的模块,如蓝绿色模块和蓝色模块。这些模块中的基因在与信号转导、代谢和癌症相关的通路中富集。发现蓝绿色模块中的枢纽lncRNA,包括LOC100129034和CROCCP2,与参与凋亡和增殖调控的mRNA共表达。在蓝色模块中,lnc-CLVS2-2和GARS1-DT与细胞迁移、侵袭和肺损伤相关的基因相连。这些发现为PM2.5诱导的肺损伤所涉及的分子机制提供了新的视角,并表明WGCNA可能是预测和理解这一疾病过程的有价值工具。