通过综合性转录基因分析识别系统性青少年异常性关节炎的潜在诊断生物标志物
Jingwei Wang1,2, Xiaochuan Wu1,2, Lanjun Shuai1,2
1Children's Medical Center, The Second Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Autoimmunity
|January 24, 2026
概括
新的诊断生物标志物ALAS2,S100A9和S100A12显示出早期系统性青少年异常性关节炎 (sJIA) 诊断的前景. 这项研究使用生物信息学识别了这些基因,比目前的标准提供了潜在的改进.
科学领域:
- 免疫学 免疫学 免疫学
- 遗传学 是一个遗传学.
- 生物信息学是一种生物信息学.
背景情况:
- 系统性青少年异常性关节炎 (sJIA) 诊断缺乏特异性.
- 迫切需要诊断生物标志物来早期检测SJIA.
研究的目的:
- 通过综合生物信息分析识别sJIA的新型诊断生物标志物.
- 开发和验证SJIA诊断的预测模型.
主要方法:
- 在GEO数据上的差异基因表达分析 (DEG).
- 权重基因共同表达网络分析 (WGCNA) 和蛋白质-蛋白质相互作用 (PPI) 网络分析以确定枢纽基因.
- 对于生物标志物选择和模型构建的最小绝对缩小和选择操作员 (LASSO) 回归.
主要成果:
- 在sJIA患者和健康对照者之间鉴定了761个差异表达基因 (DEG).
- 通过WGCNA和PPI分析发现了22个枢纽基因.
- 选择ALAS2,S100A9和S100A12作为顶级诊断生物标志物,其名录模型实现AUC为0.9337,在独立队列中得到验证.
结论:
- 基因ALAS2,S100A9和S100A12与sJIA显著相关.
- 这些基因显示出作为sJIA的候选诊断生物标志物的潜力.
- 建议对这些有前途的生物标志物进行进一步的临床验证.
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