在早期抑郁症和精神病的多变量脑血签名
David Popovic1,2, Clara Weyer2,3, Dominic B Dwyer4
1Max Planck Institute of Psychiatry, Munich, Germany.
JAMA psychiatry
|December 17, 2025
概括
早期的抑郁症和精神病表现出明显的炎症和大脑体积模式. 这些神经生物学特征受到创伤和认知的影响,可能会指导针对情绪和精神病障碍的新干预措施.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 免疫学 免疫学 免疫学
背景情况:
- 炎症越来越被认为是情绪和精神病障碍的一个因素.
- 整合血液生物标志物和脑成像为了解疾病机制和开发向治疗提供了一条途径.
研究的目的:
- 在早期抑郁和精神疾病中识别外周炎症和灰质体积 (GMV) 的共享和独特的多变量模式.
- 使用跨诊断机器学习方法来分析这些模式.
主要方法:
- 在PRONIA研究中,分析了678名参与者的数据 (最近出现的抑郁症,精神病,临床精神病高风险和健康对照).
- 稀疏的部分最小平方确定了脑血液特征,通过结构性MRI与GMV相关的外周炎症标记物 (细胞因子,BDNF,S100B).
- 支持矢量机器分类评估了这些特征的心理社会和神经认知预测因素.
主要成果:
- 发现了四个不同的签名. 一种精神病特征将IL-6/TNF-α升高和CRP降低与大脑皮质层回路中的GMV变化联系在一起.
- 抑郁症的特征显示IL-1β/IL-2/IL-4/S100B/BDNF升高,边缘区域的GMV降低.
- 心理社会因素,特别是童年创伤,预测了抑郁症和精神病特征,而认知表现仅预测了精神病特征.
结论:
- 早期的抑郁症和精神病呈现出独特的神经生物学特征,涉及免疫和神经解剖学标记.
- 这些发现挑战了这些疾病的全维模型.
- 这些受童年创伤和认知影响的已识别的特征具有开发生物知情早期干预的潜力.
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