Guo Danqing, Zeng Min, Yu Miao, Shang Jingjing, Lin Jinxing, Liu Lichu, Yang Kuangyang, Cao Zhenglin
Institute of Orthopaedics and Traumatology, The 8th Clinical Medical College of Guangzhou University of Chinese Medicine Foshan Guangdong China.
Guangzhou University of Chinese Medicine the First Affiliated Hospital Guangzhou.
JOR Spine. 2023 Dec 20;7(1):e1309. doi: 10.1002/jsp2.1309. eCollection 2024 Mar.
Intervertebral disc degeneration (IDD) is a significant cause of low back pain and poses a significant public health concern. Genetic factors play a crucial role in IDD, highlighting the need for a better understanding of the underlying mechanisms.
The aim of this study was to identify potential IDD-related biomarkers using a comprehensive bioinformatics approach and validate them in vitro.
In this study, we employed several analytical approaches to identify the key genes involved in IDD. We utilized weighted gene coexpression network analysis (WGCNA), MCODE, LASSO algorithms, and ROC curves to identify the key genes. Additionally, immune infiltrating analysis and a single-cell sequencing dataset were utilized to further explore the characteristics of the key genes. Finally, we conducted in vitro experiments on human disc tissues to validate the significance of these key genes in IDD.
we obtained gene expression profiles from the GEO database (GSE23130 and GSE15227) and identified 1015 DEGs associated with IDD. Using WGCNA, we identified the blue module as significantly related to IDD. Among the DEGs, we identified 47 hub genes that overlapped with the genes in the blue module, based on criteria of |logFC| ≥ 2.0 and .adj <0.05. Further analysis using both MCODE and LASSO algorithms enabled us to identify five key genes, of which CKAP4 and SSR1 were validated by GSE70362, demonstrating significant diagnostic value for IDD. Additionally, immune infiltrating analysis revealed that monocytes were significantly correlated with the two key genes. We also analyzed a single-cell sequencing dataset, GSE199866, which showed that both CKAP4 and SSR1 were highly expressed in fibrocartilage chondrocytes. Finally, we validated our findings in vitro by performing real time polymerase chain reaction (RT-PCR) and immunohistochemistry (IHC) on 30 human disc samples. Our results showed that CKAP4 and SSR1 were upregulated in degenerated disc samples. Taken together, our findings suggest that CKAP4 and SSR1 have the potential to serve as disease biomarkers for IDD.
椎间盘退变(IDD)是腰痛的一个重要原因,引起了重大的公共卫生关注。遗传因素在IDD中起着关键作用,这凸显了更好地理解其潜在机制的必要性。
本研究的目的是使用综合生物信息学方法鉴定潜在的IDD相关生物标志物,并在体外进行验证。
在本研究中,我们采用了几种分析方法来鉴定参与IDD的关键基因。我们利用加权基因共表达网络分析(WGCNA)、MCODE、LASSO算法和ROC曲线来鉴定关键基因。此外,利用免疫浸润分析和单细胞测序数据集进一步探索关键基因的特征。最后,我们对人椎间盘组织进行了体外实验,以验证这些关键基因在IDD中的重要性。
我们从GEO数据库(GSE23130和GSE15227)获得基因表达谱,并鉴定出1015个与IDD相关的差异表达基因(DEG)。使用WGCNA,我们确定蓝色模块与IDD显著相关。在DEG中,基于|logFC|≥2.0和.adj<0.05的标准,我们鉴定出47个与蓝色模块中的基因重叠的枢纽基因。使用MCODE和LASSO算法进行的进一步分析使我们能够鉴定出五个关键基因,其中CKAP4和SSR1在GSE70362中得到验证,显示出对IDD具有显著的诊断价值。此外,免疫浸润分析显示单核细胞与这两个关键基因显著相关。我们还分析了一个单细胞测序数据集GSE199866,结果显示CKAP4和SSR1在纤维软骨细胞中均高表达。最后,我们通过对30个人椎间盘样本进行实时聚合酶链反应(RT-PCR)和免疫组织化学(IHC)在体外验证了我们发现。我们的结果表明,CKAP4和SSR1在退变椎间盘样本中上调。综上所述,我们的研究结果表明,CKAP4和SSR1有潜力作为IDD的疾病生物标志物。