将DNA甲基化特征和临床特征结合起来,可以预测PTSD胺治疗反应
Amir Valizadeh1,2,3, John D Roache4,5, Xinyu Zhang1,2
1Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
iScience
|January 21, 2026
概括
DNA甲基化模式可以预测创伤后应激障碍 (PTSD) 对胺的治疗反应. 这一发现通过确定可能从胺中受益的子组来推进PTSD药物治疗的精密医学.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 遗传学 是一个
- 精神病学是一个精神病学.
背景情况:
- 创伤后应激障碍 (PTSD) 呈现出显著的临床和生物异质性,使治疗策略复杂化.
- 凯胺治疗PTSD (CAP-ketamine) 的最大随机试验没有发现整体疗效,突出了对预测生物标志物的需求.
研究的目的:
- 使用机器学习识别PTSD中胺反应的预测生物标志物.
- 开发一个模型,区分可能从胺治疗中受益的个体.
主要方法:
- 应用机器学习对预处理血液DNA甲基化概况和CAP-胺试验的临床数据进行了应用.
- 开发了使用DNA甲基化位点和临床变量来预测治疗反应的预测模型.
主要成果:
- 一个利用1208个DNA甲基化位点的模型表明,与单独的临床变量相比,预测准确度更高.
- 将DNA甲基化和临床数据结合起来,进一步提高了预测性能.
- 甲基化衍生得分在区分胺反应者方面达到92.9%的准确性.
- 预测性CpG位点位于参与谷氨酸激素信号传递,免疫调节和已知的PTSD风险位点的基因附近.
结论:
- 外围DNA甲基化模式是PTSD中胺反应的有效预测因素.
- 这些发现支持开发用于PTSD的精密药物治疗方法.
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