Suppr超能文献

用于鉴定和验证骨关节炎关节软骨和滑膜中与铁死亡相关的共表达基因的生物信息学与综合实验方法

Bioinformatics and Integrative Experimental Method to Identifying and Validating Co-Expressed Ferroptosis-Related Genes in OA Articular Cartilage and Synovium.

作者信息

Ma Jinxin, Yu Peng, Ma Shang, Li Jinjin, Wang Zhen, Hu Kunpeng, Su Xinzhe, Zhang Bei, Cheng Shao, Wang Shangzeng

机构信息

School of Osteopathy, Henan University of Chinese Medicine, Zhengzhou, People's Republic of China.

Department of Arthropathy, Henan Province Hospital of Chinese Medicine (The Second Affiliated Hospital of Henan University of Chinese Medicine), Zhengzhou, People's Republic of China.

出版信息

J Inflamm Res. 2024 Feb 12;17:957-980. doi: 10.2147/JIR.S434226. eCollection 2024.

Abstract

PURPOSE

Osteoarthritis (OA) is the most common joint disease worldwide and is the primary cause of disability and chronic pain in older adults.Ferroptosis is a type of programmed cell death characterized by aberrant iron metabolism and reactive oxygen species accumulation; however, its role in OA is not known.

METHODS

To identify ferroptosis markers co-expressed in articular cartilage and synovium samples from patients with OA, in silico analysis was performed.Signature genes were analyzed and the results were evaluated using a ROC curve prediction model.The biological function, correlation between Signature genes, immune cell infiltration, and ceRNA network analyses were performed. Signature genes and ferroptosis phenotypes were verified through in vivo animal experiments and clinical samples. The expression levels of non-coding RNAs in samples from patients with OA were determined using qRT-PCR. ceRNA network analysis results were confirmed using dual-luciferase assays.

RESULTS

JUN, ATF3, and CDKN1A were identified as OA- and ferroptosis-associated signature genes. GSEA analysis demonstrated an enrichment of these genes in immune and inflammatory responses, and amino acid metabolism. The CIBERSORT algorithm showed a negative correlation between T cells and these signature genes in the cartilage, and a positive correlation in the synovium. Moreover, RP5-894D12.5 and FAM95B1 regulated the expression of JUN, ATF3, and CDKN1A by competitively binding to miR-1972, miR-665, and miR-181a-2-3p. In vivo, GPX4 was downregulated in both OA cartilage and synovium; however, GPX4 and GSH were downregulated, while ferrous ions were upregulated in patient OA cartilage and synovium samples, indicating that ferroptosis was involved in the pathogenesis of OA. Furthermore, JUN, ATF3, and CDKN1A expression was downregulated in both mouse and human OA synovial and cartilage tissues. qRT-PCR demonstrated that miR-1972, RP5-894D12.5, and FAM95B1 were differentially expressed in OA tissues. Targeted interactions between miR-1972 and JUN, and a ceRNA regulatory mechanism between RP5-894D12.5, miR-1972, and JUN were confirmed by dual-luciferase assays.

CONCLUSION

This study identified JUN, ATF3, and CDKN1A as possible diagnostic biomarkers and therapeutic targets for joint synovitis and OA. Furthermore, our finding indicated that RP5-894D12.5/miR-1972/JUN was a potential ceRNA regulatory axis in OA, providing an insight into the connection between ferroptosis and OA.

摘要

目的

骨关节炎(OA)是全球最常见的关节疾病,是老年人残疾和慢性疼痛的主要原因。铁死亡是一种程序性细胞死亡,其特征是铁代谢异常和活性氧积累;然而,其在OA中的作用尚不清楚。

方法

为了鉴定OA患者关节软骨和滑膜样本中共同表达的铁死亡标志物,进行了计算机分析。分析特征基因,并使用ROC曲线预测模型评估结果。进行生物学功能、特征基因之间的相关性、免疫细胞浸润和ceRNA网络分析。通过体内动物实验和临床样本验证特征基因和铁死亡表型。使用qRT-PCR测定OA患者样本中非编码RNA的表达水平。使用双荧光素酶测定法确认ceRNA网络分析结果。

结果

JUN、ATF3和CDKN1A被鉴定为与OA和铁死亡相关的特征基因。GSEA分析表明这些基因在免疫和炎症反应以及氨基酸代谢中富集。CIBERSORT算法显示软骨中T细胞与这些特征基因呈负相关,而在滑膜中呈正相关。此外,RP5-894D12.5和FAM95B1通过竞争性结合miR-1972、miR-665和miR-181a-2-3p来调节JUN、ATF3和CDKN1A的表达。在体内,OA软骨和滑膜中的GPX4均下调;然而,OA患者软骨和滑膜样本中GPX4和谷胱甘肽下调,而亚铁离子上调,表明铁死亡参与了OA的发病机制。此外,JUN、ATF3和CDKN1A在小鼠和人类OA滑膜和软骨组织中的表达均下调。qRT-PCR表明miR-1972、RP5-894D12.5和FAM95B1在OA组织中差异表达。双荧光素酶测定法证实了miR-1972与JUN之间的靶向相互作用以及RP5-894D12.5、miR-1972和JUN之间的ceRNA调控机制。

结论

本研究确定JUN、ATF3和CDKN1A为关节滑膜炎和OA可能的诊断生物标志物和治疗靶点。此外,我们的发现表明RP5-894D12.5/miR-1972/JUN是OA中潜在的ceRNA调控轴,为深入了解铁死亡与OA之间的联系提供了线索。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验