Song Hong-Mei, Li Zuo-Wei, Huang Qin, Wu Chun-Gen, Li Ming-Hua, Shen Jun-Kang
Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Department of Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ann Med. 2025 Dec;57(1):2443568. doi: 10.1080/07853890.2024.2443568. Epub 2024 Dec 20.
Intervertebral disc degeneration (IVDD) is a prevalent degenerative condition associated with a high incidence rate of low back pain and disability. This study aimed to identify potential biomarkers and signaling pathways associated with IVDD.
Biomarkers were discerned through bulk-RNA and single-cell RNA sequencing (scRNA-Seq) investigations of IVDD cases from the Gene Expression Omnibus (GEO) database. Following this, two central genes were identified. Furthermore, gene set enrichment analysis (GSEA) and receiver operating characteristic (ROC) curve analysis were conducted. The transcriptional factor (TF) derived from nucleus pulposus (NP) cells was examined through the DoRothEA R package. RT-qPCR and IHC techniques were employed to confirm the expression of the two hub genes and their associated genes in tissue samples.
The proteins Tumor necrosis factor-inducible gene 6 protein (TNFAIP6) and collagen VI-α2 (COL6A2) were frequently analyzed using a combination of DEGs from datasets GSE70362, GSE124272, and scRNA-seq. Examination of gene expression across multiple datasets indicated significant differences in TNFAIP6 and COL6A2 levels in IVDD compared to control or normal groups ( < 0.05). These two central genes demonstrated strong diagnostic utility in the training cohort and reliable predictive value in the validation datasets. Our study verified the potential role of ZEB2 as a TF in regulating two key genes associated with IVDD. Furthermore, qPCR and IHC confirmed elevated expression levels of the hub genes and transcription factor.
We identified biomarkers, specifically TNFAIP6 and COL6A2, that have the potential to predict disease activity and aid in the diagnosis of IVDD.
椎间盘退变(IVDD)是一种常见的退行性疾病,与腰背痛和残疾的高发病率相关。本研究旨在确定与IVDD相关的潜在生物标志物和信号通路。
通过对来自基因表达综合数据库(GEO)的IVDD病例进行批量RNA和单细胞RNA测序(scRNA-Seq)研究来识别生物标志物。在此之后,确定了两个核心基因。此外,进行了基因集富集分析(GSEA)和受试者工作特征(ROC)曲线分析。通过DoRothEA R包检查来自髓核(NP)细胞的转录因子(TF)。采用RT-qPCR和免疫组化技术来确认两个枢纽基因及其相关基因在组织样本中的表达。
使用来自数据集GSE70362、GSE124272和scRNA-seq的差异表达基因(DEG)组合,对肿瘤坏死因子诱导基因6蛋白(TNFAIP6)和胶原蛋白VI-α2(COL6A2)这两种蛋白质进行了频繁分析。对多个数据集的基因表达检查表明,与对照组或正常组相比,IVDD中TNFAIP6和COL6A2水平存在显著差异(<0.05)。这两个核心基因在训练队列中显示出强大的诊断效用,在验证数据集中具有可靠的预测价值。我们的研究证实了ZEB2作为转录因子在调节与IVDD相关的两个关键基因中的潜在作用。此外,qPCR和免疫组化证实了枢纽基因和转录因子的表达水平升高。
我们鉴定出了生物标志物,特别是TNFAIP6和COL6A2,它们有可能预测疾病活动并有助于IVDD的诊断。