门德尔的随机化和转录组分析揭示了下大脑关节下出血和翻译后修改之间的关系
Ligang Song1,2, Ce Jiang3, Mingxuan Huang1,2
1Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
International journal of surgery (London, England)
|December 11, 2025
概括
这项研究确定ATG7和ZRANB1是预测子arachnoid出血 (SAH) 风险的关键翻译后修饰 (PTM) 生物标志物. 特雷蒂诺因显示出作为SAH治疗剂的潜力.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 遗传学 是一个
- 生物化学 生物化学
背景情况:
- 翻译后修饰 (PTMs) 是中风引起的大脑损伤的关键调节者.
- PTMs在下大脑下出血 (SAH) 发病过程中的特定作用仍然不清楚.
研究的目的:
- 为了确定参与SAH的PTM相关基因.
- 为了确定SAH风险的因果PTM基因和生物标志物.
- 探索SAH的治疗策略.
主要方法:
- 不同基因表达分析和PTM基因交叉.
- 门德尔随机化 (MR) 用于因果推理.
- 机器学习用于生物标志物查和诊断模型开发.
- 独立数据集验证和临床相关性.
- 通过分子对接和动态来进行药物重定向分析.
主要成果:
- 确定了227个SAH相关的PTM基因,其中12个显示因果关系.
- 选择ZRANB1和ATG7作为关键的PTM生物标志物.
- 开发了一个诊断模型,AUC=0.833用于SAH风险预测 (20%-90%).
- 在SAH患者中,ZRANB1和ATG7水平发生显著变化.
- 特雷蒂诺因被预测为一种治疗候选药物,对ATG7.7具有有利的结合亲和力.
结论:
- 确立了ATG7-ZRANB1作为SAH预测的新生物标志物组合.
- 鉴定了氨酸作为SAH的有希望的治疗候选药物.
- 证明了基于PTM的精密医学在SAH治疗中的潜力.
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