Annals of medicine Pub Date : 2025-12-01 Epub Date: 2024-12-20 DOI:10.1080/07853890.2024.2443568
Hong-Mei Song, Zuo-Wei Li, Qin Huang, Chun-Gen Wu, Ming-Hua Li, Jun-Kang Shen
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摘要

目的:椎间盘退变(IVDD)是一种常见的退行性病变,与腰背痛和残疾的高发病率有关。本研究旨在确定与 IVDD 相关的潜在生物标志物和信号通路:方法:通过对基因表达总库(GEO)数据库中的IVDD病例进行大量RNA和单细胞RNA测序(scRNA-Seq)调查,找出生物标志物。随后,确定了两个中心基因。此外,还进行了基因组富集分析(GSEA)和接收者操作特征曲线(ROC)分析。通过 DoRothEA R 软件包检测了来自髓核(NP)细胞的转录因子(TF)。采用 RT-qPCR 和 IHC 技术确认了两个枢纽基因及其相关基因在组织样本中的表达:结果:利用数据集 GSE70362、GSE124272 和 scRNA-seq 中的 DEGs 组合分析了肿瘤坏死因子诱导基因 6 蛋白(TNFAIP6)和胶原蛋白 VI-α2(COL6A2)。跨多个数据集的基因表达研究表明,与对照组或正常组相比,IVDD 患者的 TNFAIP6 和 COL6A2 水平存在显著差异(p < 0.05)。这两个中心基因在训练队列中显示出很强的诊断效用,在验证数据集中显示出可靠的预测价值。我们的研究验证了 ZEB2 作为 TF 在调控与 IVDD 相关的两个关键基因中的潜在作用。此外,qPCR和IHC证实了枢纽基因和转录因子表达水平的升高:我们发现了生物标志物,特别是 TNFAIP6 和 COL6A2,它们有可能预测疾病活动并帮助诊断 IVDD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A diagnostic signatures for intervertebral disc degeneration using TNFAIP6 and COL6A2 based on single-cell RNA-seq and bulk RNA-seq analyses.

Objectives: 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.

Methods: 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.

Results: 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 (p < 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.

Conclusion: We identified biomarkers, specifically TNFAIP6 and COL6A2, that have the potential to predict disease activity and aid in the diagnosis of IVDD.

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