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在椎间盘变性中识别和实验验证与免疫相关的枢纽基因

Zeling Huang¹, Xuefeng Cai¹, Xiaofeng Shen^1,2

¹Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, Jiangsu, 215009, China.

|August 12, 2024

概括

这项研究确定了六个关键基因 (NR1H3,SORT1,PTGDS,AGT,IRF1,TGFB2) 作为椎间盘退化 (IDD) 的潜在诊断生物标志物. 这些基因也可能作为IDD治疗中免疫调节的治疗点.

科学领域:

免疫学免疫学免疫学
遗传学是一个遗传学.
分子生物学分子生物学

背景情况:

椎间盘退化 (IDD) 涉及炎症和免疫因素,但确切的免疫环境和表观遗传调节仍然不清楚.
了解这些机制对于识别IDD的诊断标记和治疗策略至关重要.

研究的目的:

为了确定与免疫相关的基因作为IDD的诊断候选者.
探索基于免疫失调的IDD潜在的致病机制和治疗点.

主要方法:

用权重基因关联网络分析 (WGCNA) 和LIMA分析基因表达数据集,以确定差异表达的免疫基因 (Imm-DEG).
通过LASSO回归和蛋白质与蛋白质相互作用 (PPI) 网络分析,确定了枢纽基因. 使用枢纽基因系数构建了一个风险模型,并通过ROC分析进行验证.
在体外实验中,与M1巨细胞共同培养核细胞,以模拟炎症环境并验证基因表达变化.

主要成果:

30个Imm-DEG被确定,富含免疫和炎症通路. 他们选择了六个枢纽基因 (NR1H3,SORT1,PTGDS,AGT,IRF1,TGFB2).
结合这六个枢纽基因的风险模型表明IDD的诊断价值很高.
在体外研究证实了NR1H3,SORT1,PTGDS,IRF1和TGFB2在炎症条件下的细胞核中的上调.

结论:

已识别的枢纽基因NR1H3,SORT1,PTGDS,IRF1和TGFB2是IDD诊断的有希望的免疫相关生物标志物.
这些基因代表了IDD免疫基干预的潜在治疗点.

关键词:

生物信息学分析免疫系统的免疫系统.椎间盘退化椎间盘退化机器学习是机器学习.它的核心是脉的.

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