Xia Yuechong, Zhou Fang, Hui Hongyan, Dai Liping, Ouyang Songyun
Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Department of Clinical Pharmacy, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
J Transl Med. 2024 Dec 20;22(1):1114. doi: 10.1186/s12967-024-05869-2.
Glycolysis plays a major role in progression of idiopathic pulmonary fibrosis (IPF). Here, we aim to explore the predictive signature based on glycolysis-related genes for predicting the prognosis and identified a potential therapeutic target for IPF.
Gene expression data of bronchoalveolar lavage (BAL) cells and clinical information were downloaded from the Gene Expression Omnibus database. Bioinformatic analysis was then performed to identify differentially expressed genes (DEGs). Lasso multivariate cox analysis and multivariate Cox regression were used to establish a gene signature. The prediction model was evaluated using the time-dependent receiver operating characteristic (ROC) curve and validated using an external independent dataset. The expression of these key genes in cellular level analyzed from Single Cell Expression Atlas. Cell Counting Kit-8 assay, immunofluorescence, wound healing and plasmid transfection were performed.
A total of 4 gene (ANGPTL4, ME2, TPBG and IER3), which were associated with the prognosis of IPF patients, were selected to establish our signature. The prediction model was an independent prognostic indicator for IPF patients. ANGPTL4 was significantly upregulated in pleural mesothelial cells (PMCs). In vitro assay showed that ANGPTL4 promoted PMCs proliferation and migration. Knockdown of ANGPTL4 can inhibit mesothelial-mesenchymal transition by suppressed glycolysis-associated gene, such as PGM1, GPI, PGK1, LDHA, ALDOA, ENO1 and TPI1.
Our research established a glycolysis-associated gene signature that holds potential to assist clinicians in the personalized management of IPF. Furthermore, we identified that ANGPTL4 mediates mesothelial-mesenchymal transition, suggesting its viability as a therapeutic target for IPF treatment.
糖酵解在特发性肺纤维化(IPF)进展中起主要作用。在此,我们旨在探索基于糖酵解相关基因的预测特征以预测预后,并确定IPF的潜在治疗靶点。
从基因表达综合数据库下载支气管肺泡灌洗(BAL)细胞的基因表达数据和临床信息。然后进行生物信息学分析以鉴定差异表达基因(DEG)。使用套索多元cox分析和多元Cox回归建立基因特征。使用时间依赖性受试者工作特征(ROC)曲线评估预测模型,并使用外部独立数据集进行验证。从单细胞表达图谱分析这些关键基因在细胞水平的表达。进行细胞计数试剂盒-8检测、免疫荧光、伤口愈合和质粒转染。
共选择4个与IPF患者预后相关的基因(ANGPTL4、ME2、TPBG和IER3)来建立我们的特征。该预测模型是IPF患者的独立预后指标。ANGPTL4在胸膜间皮细胞(PMC)中显著上调。体外实验表明ANGPTL4促进PMC增殖和迁移。敲低ANGPTL4可通过抑制糖酵解相关基因(如PGM1、GPI、PGK1、LDHA、ALDOA、ENO1和TPI1)来抑制间皮-间充质转化。
我们的研究建立了一个与糖酵解相关的基因特征,有可能帮助临床医生对IPF进行个性化管理。此外,我们确定ANGPTL4介导间皮-间充质转化,表明其作为IPF治疗靶点的可行性。