生物标志物 生物标志物
Charles D Chen1, Cinthya Aguero2, Alexandra N Melloni2
1Massachusetts General Hospital, Charlestown, MA, USA.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
概括
粉样β和的正电子发射断层扫描 (PET) 生物标志物预测大脑病理,但由于异常值,tau PET需要仔细解释. 个性化的tau PET指标可以改善预测衰老和临床前阿尔茨海默病 (AD) 中的神经病理学评估的预测.
科学领域:
- 神经成像是一种神经成像.
- 神经病理学神经病理学
- 阿尔茨海默氏症疾病研究研究
背景情况:
- 哈佛老化大脑研究 (HABS) 调查了正常老化和临床前阿尔茨海默病 (AD) 之间的差异.
- 16名HABS参与者捐赠了他们的大脑进行神经病理学评估.
- 这项研究评估了死前PET生物标志物对神经病理发现的预测能力.
研究的目的:
- 为了比较死前PET生物标志物与死后神经病理学评估的粉样β和.
- 确定PET成像可以在多大程度上预测神经病理变化的空间分布和密度.
- 为了确定PET成像和神经病理学之间的潜在差异,特别是在TAU PET.
主要方法:
- 神经病理学评估包括粉样β斑块 (Thal阶段/A分数),团 (Braak NFT阶段/B分数) 和神经斑块 (CERAD NP分数/C分数).
- 粉样βPET (PiB) 度量包括前部,侧部部,顶部和后皮层分布体积比率 (DVR) 和空间范围 (EXT).
- 陶皮特 (flortaucipir,FTP) 度量包括整个叶,中叶 (MTL) 和叶新皮质 (NEO-T) 的标准化吸收值比率 (SUVR),分析双边和侧面.
主要成果:
- 粉样βPET (PiB) 度量 (DVR和EXT) 与粉样β斑块得分 (A和C) 有显著的相关性.
- 最初的tau PET (FTP) SUVR与布拉克NFT阶段 (B分数) 并没有显著的相关性.
- 排除异常值后,整个时间和NEO-T SUVR与B评分有显著的相关性;横向的SUVR进一步加强了这些相关性.
结论:
- 粉样蛋白-β PET指标准确地反映了粉样蛋白斑块的分布和密度.
- 陶氏PET指标与陶氏纠分布相关,但需要去除异常值,这表明可能存在差异.
- 针对异质性的个性化tau PET指标被提议用于提高神经病理评估的预测.
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