Zhang Fan, Yuan Lei, Ding Heng, Lou Zhenkai, Li Xingguo
Department of Orthopedics, The First Affiliated Hospital of Kunming Medical University, Kunming City, Yunnan 650032, China.
Biomed Res Int. 2024 Dec 16;2024:9922966. doi: 10.1155/bmri/9922966. eCollection 2024.
Necroptosis is a critical process in intervertebral disc degeneration (IDD). This research is aimed at identifying key genes regulating necroptosis in IDD to provide a theoretical basis for early diagnosis and treatment. Transcriptome data from patients with IDD and normal samples were obtained from the GSE34095 and GSE124272 datasets of the Gene Expression Omnibus (GEO) public database. Necroptosis-related genes (NRGs) were sourced from the GeneCards database and literature. Differentially expressed necroptosis-related genes (DE-NRGs) in IDD were identified by intersecting these sources. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for gene annotation analysis. The receiver operating characteristic (ROC) curve and nomogram analyses assessed the diagnostic efficiency of DE-NRGs. The miRWalk and starBase databases helped construct the competing endogenous RNA (ceRNA) regulatory network of DE-NRGs. We identified 517 differential genes in tissue and 2974 in blood, with 62 genes in common. DE-NRGs (, , , , ) were identified by intersecting NRGs with these 62 common genes. The ROC curve showed an area under the curve (AUC) > 0.70 for DE-NRGs, and the nomogram indicated that a higher DE-NRG score correlates with a higher risk of IDD. , , and emerged as potential therapeutic targets for IDD through target drug prediction. qRT-PCR (quantitative reverse transcription polymerase chain reaction), Western blot, and immunohistochemistry confirmed the expression of , , , , and in patients' nucleus pulposus tissue, suggesting these genes as key targets for IDD risk assessment and drug therapy.
坏死性凋亡是椎间盘退变(IDD)中的一个关键过程。本研究旨在鉴定调控IDD中坏死性凋亡的关键基因,为早期诊断和治疗提供理论依据。来自IDD患者和正常样本的转录组数据取自基因表达综合数据库(GEO)的GSE34095和GSE124272数据集。坏死性凋亡相关基因(NRGs)来源于基因卡片数据库和文献。通过交叉这些来源鉴定IDD中差异表达的坏死性凋亡相关基因(DE-NRGs)。基因本体论(GO)和京都基因与基因组百科全书(KEGG)用于基因注释分析。受试者工作特征(ROC)曲线和列线图分析评估了DE-NRGs的诊断效率。miRWalk和starBase数据库有助于构建DE-NRGs的竞争性内源性RNA(ceRNA)调控网络。我们在组织中鉴定出517个差异基因,在血液中鉴定出2974个差异基因,其中有62个基因是共有的。通过将NRGs与这62个共有基因交叉鉴定出DE-NRGs( 、 、 、 、 )。ROC曲线显示DE-NRGs的曲线下面积(AUC)>0.70,列线图表明较高的DE-NRGs评分与较高的IDD风险相关。通过靶向药物预测, 、 和 成为IDD潜在的治疗靶点。定量逆转录聚合酶链反应(qRT-PCR)、蛋白质免疫印迹法和免疫组织化学证实了 、 、 、 和 在患者髓核组织中的表达,表明这些基因是IDD风险评估和药物治疗的关键靶点。