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通过综合生物信息学分析识别膝关节骨关节炎中的关键枢纽基因

Lilei Xu¹, Jiaqi Ma¹, Chuanlong Zhou^1,2

¹Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.

Scientific reports

|September 28, 2024

概括

这项研究确定了像JUN和IL6这样的关键基因作为膝关节骨关节炎 (KOA) 的潜在生物标志物. 这些发现可以改善早期诊断和对KOA易感性的理解.

科学领域:

生物医学研究的研究.
基因组学就是基因组学.
骨关节炎的研究研究.

背景情况:

膝关节骨关节炎 (KOA) 是一种普遍存在的全球关节疾病.
结膜炎症是KOA病变发生的关键因素,先于软骨损伤.
突组织中的生物标志物对于早期KOA诊断和向治疗至关重要.

研究的目的:

从突组织中识别膝关节骨关节炎 (KOA) 的新型基因生物标志物.
探索基因表达和免疫细胞透在KOA病变发生中的作用.
通过生物信息学和孟德尔随机化分析验证潜在的生物标志物.

主要方法:

利用基因表达总量 (GEO) 数据进行差异基因表达 (DEG) 和加权基因共同表达网络分析 (WGCNA).
使用Cytoscape进行了途径和蛋白质-蛋白质相互作用网络分析.
使用CIBERSORT进行免疫细胞相关性和孟德尔随机化进行生物标志物验证.

主要成果:

确定了46个DEG和24个与WGCNA模块交叉的基因,突出了IL-17信号通路.
确定的顶级枢纽基因包括JUN,ATF3,FOSB,NR4A2和IL6,具有经过验证的诊断名录模型.
在枢纽基因 (JUN,FOSB,NR4A2) 和巨细胞,以及 (ATF3,FOSB,JUN) 和T毛囊辅助细胞之间发现了显著的相关性.
门德尔随机化证实JUN和IL6是KOA的潜在遗传风险因素.

结论:

JUN和IL6被确定为重要的枢纽基因和膝关节关节炎的潜在生物标志物.
这项研究阐明了特定基因和免疫细胞相互作用在KOA病变发生中的作用.
这些发现支持开发先进的诊断策略,并更深入地了解KOA易感性.

关键词:

生物信息学分析生物标志物生物标志物基因组丰富分析分析免疫系统的透.膝关节骨关节炎是一种关节炎.门德尔的随机化突状组织突状组织权重的相关性网络分析.

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