Xuan Dan, Wang Xiaowan, Feng Dandan, Wang Li, Xia Yonghui
Department of Rheumatology and Immunology, The First Affiliated Hospital of Wannan Medical College, Wuhu , Anhui, 241000, China.
Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Wannan Medical College, Wuhu , Anhui, 241000, China.
Hereditas. 2025 Jun 3;162(1):95. doi: 10.1186/s41065-025-00450-3.
Rheumatoid arthritis (RA) is a chronic inflammatory disease. This study aims to identify candidate therapeutic targets and promising drugs for RA.
RA-related microarray datasets (GSE77298 and GSE206848) and inflammatory genes (IRGs) were downloaded from Gene Expression Omnibus database and GeneCards database, respectively. After removing batch effects, differentially expressed genes (DEGs) were screened using filtering criteria of P < 0.05 and |log2(fold change)|> 1. Differentially expressed IRGs (DE-IRGs) were then obtained. Key gene modules were identified by weighted gene co-expression network analysis (WGCNA), and the hub genes were then identified from the results of protein-protein interaction (PPI) network analysis, WGCNA and DE-IRGs, and validated by a external dataset GSE93272. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic effect of the predicted hub genes. In addition, drug prediction was performed through virtual screening. mRNA and protein expression of cluster of differentiation 36 (CD36) were detected by RT-qPCR and Western blot. After RA fibroblast-like synovial cells (RA-FLS) were treated with piceatannol and epicatechin, cell proliferation was detected by CCK-8 assay, and flow cytometry was used to detect cell cycle and apoptosis, and the secretion of inflammatory cytokines was detected by enzyme-linked immunosorbent assay.
Three hub genes were finally identified, including CD36, perilipin 1 and lipoprotein lipase. CD36 was further identified as a candidate biomarker and therapeutic target for RA, which had relatively good diagnostic efficacy for RA. Compared with fibroblast-like synovial cells (FLS), mRNA and protein expression levels of CD36 in RA-FLS were significantly up-regulated (P < 0.05). Piceatannol and epicatechin had good binding affinity with CD36 (docking score < -5 kcal/mol), and piceatannol treatment or epicatechin treatment inhibited the proliferation and inflammation of RA-FLS and induced cell cycle arrest and apoptosis (P < 0.05).
CD36 is a potential biomarker and therapeutic target associated with synovial inflammation of RA, and piceatannol and epicatechin are potential natural drugs for RA treatment. Overall, these findings provide new insights into the clinical diagnosis and treatment of RA.
类风湿关节炎(RA)是一种慢性炎症性疾病。本研究旨在确定RA的候选治疗靶点和有前景的药物。
分别从基因表达综合数据库(Gene Expression Omnibus database)和基因卡片数据库(GeneCards database)下载RA相关的微阵列数据集(GSE77298和GSE206848)以及炎症相关基因(IRGs)。去除批次效应后,使用P<0.05和|log2(倍数变化)|>1的筛选标准筛选差异表达基因(DEGs)。然后获得差异表达的IRGs(DE-IRGs)。通过加权基因共表达网络分析(WGCNA)确定关键基因模块,然后从蛋白质-蛋白质相互作用(PPI)网络分析、WGCNA和DE-IRGs的结果中确定枢纽基因,并通过外部数据集GSE93272进行验证。使用受试者工作特征(ROC)曲线评估预测的枢纽基因的诊断效果。此外,通过虚拟筛选进行药物预测。通过RT-qPCR和蛋白质免疫印迹法检测分化簇36(CD36)的mRNA和蛋白表达。用白皮杉醇和表儿茶素处理类风湿关节炎成纤维样滑膜细胞(RA-FLS)后,采用CCK-8法检测细胞增殖,流式细胞术检测细胞周期和凋亡,酶联免疫吸附测定法检测炎症细胞因子的分泌。
最终确定了三个枢纽基因,包括CD36、脂滴包被蛋白1和脂蛋白脂肪酶。CD36被进一步确定为RA的候选生物标志物和治疗靶点,对RA具有较好的诊断效能。与成纤维样滑膜细胞(FLS)相比,RA-FLS中CD36的mRNA和蛋白表达水平显著上调(P<0.05)。白皮杉醇和表儿茶素与CD36具有良好的结合亲和力(对接分数<-5 kcal/mol),白皮杉醇处理或表儿茶素处理可抑制RA-FLS的增殖和炎症,诱导细胞周期停滞和凋亡(P<0.05)。
CD36是与RA滑膜炎症相关的潜在生物标志物和治疗靶点,白皮杉醇和表儿茶素是治疗RA的潜在天然药物。总体而言,这些发现为RA的临床诊断和治疗提供了新的见解。