在基于生物信息学和机器学习的全血样本中识别与衰老相关的椎间盘退化生物标志物
Zi-Hang Li1, Shi-Pian Li2,3, Ya-Hao Li1
1Department of Orthopedics, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, Jiangsu, China.
Frontiers in immunology
|April 30, 2025
概括
这项研究确定了血液中的关键与衰老相关的生物标志物FCGR1A,CBS和FASLG,用于诊断椎间盘退化 (IVDD). 这些发现为早期干预脊柱衰老和腰部疼痛提供了新的途径.
科学领域:
- 生物医学研究的研究.
- 基因组学就是基因组学.
- 衰老的研究研究.
背景情况:
- 衰老导致身体的结构和功能变化,椎间盘退化 (IVDD) 是脊椎衰老的主要方面.
- 椎间盘退化 (IVDD) 是腰部疼痛 (LBP) 的重要原因之一.
研究的目的:
- 用生物信息学和机器学习在全血中识别与椎间盘退化 (IVDD) 相关的与衰老相关的生物标志物.
- 发现IVDD的新型诊断标志物,以进行潜在的早期干预.
主要方法:
- 对基因表达综合 (GEO) 数据集和与衰老相关的数据库 (GeneCards,HAGR,AgeAnno) 的分析.
- 鉴定了15个与衰老相关的差异表达基因 (AIDEGs).
- 应用机器学习模型 (WGCNA,物流回归,随机森林,SVM,k-NN,LASSO) 和ELISA进行验证.
主要成果:
- FCGR1A,CBS和FASLG被确定为具有IVDD高预测价值的显著生物标志物.
- 艾丽莎测定证实了CBS和FASLG是关键的IVDD生物标志物,在中度和重度退行方面显示了差异性表达.
- 途径分析提供了关于AIDEGs在IVDD病变发生中的作用的见解.
结论:
- 与衰老相关的差异表达基因 (AIDEGs) 显示了IVDD的诊断潜力.
- 鉴定的生物标志物 (CBS,FASLG) 为IVDD的早期诊断和治疗策略提供了新的视角.
- 这项研究有助于了解脊柱衰老和开发治疗腰部疼痛的干预措施.
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