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通过生物信息学分析和实验验证实,确定椎间盘退化的潜在新生物标志物

Zhao Yang¹, Zhen-Zhen Yuan¹, Xin-Long Ma¹

¹Department of Orthopedics, Tianjin Hospital, Tianjin, China.

Frontiers in immunology

|June 16, 2023

概括

椎间盘退化 (IVDD) 是腰部疼痛的一个常见原因. 这项研究确定ZNF542P是早期IVDD诊断的关键基因,可能与免疫细胞透有关.

科学领域:

生物医学研究的研究.
遗传学是一个遗传学.
免疫学免疫学免疫学

背景情况:

椎间盘退化 (IVDD) 是一个重要的全球健康问题,也是腰部疼痛的主要原因.
目前对IVDD的诊断方法存在局限性,特别是在早期检测方面.

研究的目的:

识别和验证与IVDD相关的关键特征基因.
分析这个关键基因与IVDD中的免疫细胞透之间的相关性.

主要方法:

使用公共数据集对IVDD和对照样本的差异基因表达分析.
基因本体学 (GO) 和基因组丰富分析 (GSEA) 探索生物功能.
机器学习算法用于识别和验证一个关键特征基因 (ZNF542P).
基因和蛋白质表达的验证使用qRT-PCR和西方Blot.
ZNF542P表达和免疫细胞透之间的相关性分析.

主要成果:

鉴定了五种差异表达基因 (DEG),其中GO和GSEA揭示了离子运输和NOD类受体信号通路等通路中的丰富.
ZNF542P被确定为IVDD的关键特征基因,具有良好的诊断价值.
ZNF542P的表达在退化的核脉 (NP) 细胞中下降,而NLRP3和pro Caspase-1的表达增加.
ZNF542P的表达与T细胞马三角 (γδT细胞) 的透有正相关性.

结论:

ZNF542P作为一种潜在的生物标志物,用于早期诊断椎间盘退化 (IVDD).
这项研究表明,NOD类受体信号通路ZNF542P与IVDD病原体中的γδT细胞透之间存在潜在的关联.

关键词:

生物信息学是一种生物信息学.生物标志物生物标志物免疫细胞的透.椎间盘退化椎间盘退化机器学习算法的算法细胞核细胞核细胞核

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