Liu Yan, Shi Jun-Zhuo, Jiang Rong, Liu Shao-Fei, He Yang-Yang, van der Vorst Emiel P C, Weber Christian, Döring Yvonne, Yan Yi
Department of Nuclear Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
School of Pharmacy, Henan University, Kaifeng, China.
Front Pharmacol. 2022 May 31;13:908783. doi: 10.3389/fphar.2022.908783. eCollection 2022.
Regulatory T cells (Tregs) are critical immune modulators to maintain immune homeostasis and limit pulmonary hypertension (PH). This study was aimed to identify Treg-related genes (TRGs) in PH. The gene expression profile from lungs of PH patients was retrieved from the Gene Expression Omnibus (GEO) database. The abundance of Tregs was estimated by the xCell algorithm, the correlation of which with differentially expressed genes (DEGs) was performed. DEGs with a |Pearson correlation coefficient| >0.4 were identified as TRGs. Functional annotation and the protein-protein interaction (PPI) network were analyzed. A gene signature for 25 hub TRGs (TRGscore) was generated by a single sample scoring method to determine its accuracy to distinguish PH from control subjects. TRGs were validated in datasets of transcriptional profiling of PH cohorts and in lung tissues of experimental PH mice. A total of 819 DEGs were identified in lungs of 58 PAH patients compared to that of 25 control subjects of dataset GSE117261. In total, 165 of all these DEGs were correlated with the abundance of Tregs and identified as TRGs, with 90 upregulated genes and 75 downregulated genes compared to that of control subjects. The upregulated TRGs were enriched in negative regulation of multiple pathways, such as cAMP-mediated signaling and I-kappaB kinase/NF-kappaB signaling, and regulated by multiple genes encoding transcriptional factors including HIF1A. Furthermore, 25 hub genes categorized into three clusters out of 165 TRGs were derived, and we identified 27 potential drugs targeting 10 hub TRGs. The TRGscore based on 25 hub TRGs was higher in PH patients and could distinguish PH from control subjects (all AUC >0.7). Among them, 10 genes including and were significantly reduced in lungs of severe PH patients of dataset GSE24988 as well as in lungs of hypoxic PH mice compared to corresponding controls. Our finding will shed some light on the Treg-associated therapeutic targets in the progression of PH and emphasize on TRGscore as a novel indicator for PH.
调节性T细胞(Tregs)是维持免疫稳态和限制肺动脉高压(PH)的关键免疫调节因子。本研究旨在鉴定PH中与Treg相关的基因(TRGs)。从基因表达综合数据库(GEO)中检索PH患者肺组织的基因表达谱。通过xCell算法估计Tregs的丰度,并分析其与差异表达基因(DEGs)的相关性。将|皮尔逊相关系数|>0.4的DEGs鉴定为TRGs。分析功能注释和蛋白质-蛋白质相互作用(PPI)网络。通过单样本评分方法生成25个核心TRGs的基因特征(TRGscore),以确定其区分PH患者与对照受试者的准确性。TRGs在PH队列的转录谱数据集和实验性PH小鼠的肺组织中得到验证。与数据集GSE117261的25名对照受试者相比,在58名PAH患者的肺组织中总共鉴定出819个DEGs。在所有这些DEGs中,共有165个与Tregs丰度相关并被鉴定为TRGs,与对照受试者相比,上调基因90个,下调基因75个。上调的TRGs在多种途径的负调控中富集,如cAMP介导的信号传导和I-κB激酶/NF-κB信号传导,并受包括HIF1A在内的多个编码转录因子的基因调控。此外,从165个TRGs中衍生出分为三个簇的25个核心基因,并且我们鉴定出靶向10个核心TRGs的27种潜在药物。基于25个核心TRGs的TRGscore在PH患者中更高,并且可以区分PH患者与对照受试者(所有AUC>0.7)。其中,与相应对照相比,数据集GSE24988的重度PH患者的肺组织以及低氧PH小鼠的肺组织中,包括 和 在内的10个基因显著降低。我们的发现将为PH进展中与Treg相关的治疗靶点提供一些启示,并强调TRGscore作为PH的一种新指标。