From the Charles F. and Joanne Knight Alzheimer Disease Research Center (A.J.A., B.A.G., T.L.S.B., J.C.M., J.J.H.), Department of Neurology (J.C.M., J.J.H.), Department of Psychological & Brain Sciences (B.A.G., J.J.H.), and Department of Radiology (B.A.G., T.L.S.B.), Washington University in St. Louis, MO.
Neurology. 2018 Aug 28;91(9):e859-e866. doi: 10.1212/WNL.0000000000006075. Epub 2018 Aug 1.
To examine the independent and interactive influences of neuroimaging biomarkers on retrospective cognitive decline.
A total of 152 middle-aged and older adult participants with at least 2 clinical and cognitive assessments, a Clinical Dementia Rating score of 0 or 0.5, and a flortaucipir (F-AV-1451) tau PET scan, a florbetapir (F-AV-45) amyloid PET scan, and a structural MRI scan were recruited from the Knight Alzheimer Disease Research Center at Washington University in St. Louis. Cognition was assessed with standard measures reflecting episodic memory, executive functioning, semantic fluency, and processing speed.
Results from retrospective longitudinal analyses showed that each biomarker had a univariate association with the global cognitive composite; however, when each marker was analyzed in a single statistical model, only tau was a significant predictor of global cognitive decline. There was an interaction between tau and amyloid such that tau-related cognitive decline was worse in individuals with high amyloid. There was also an interaction with hippocampal volume indicating that individuals with high levels of all 3 pathologies exhibited the greatest declines in cognition. Additional analyses within each cognitive domain indicated that tau had the largest negative influence on tests of episodic memory and executive functioning.
Together, these results suggest that increasing levels of tau most consistently relate to declines in cognition preceding biomarker collection. These findings support models of Alzheimer disease (AD) staging that suggest that elevated β-amyloid alone may be insufficient to produce cognitive change in individuals at risk for AD and support the use of multiple biomarkers to stage AD progression.
探讨神经影像学生物标志物对回溯性认知衰退的独立和交互影响。
共招募了 152 名年龄在中年及以上的参与者,他们至少有 2 次临床和认知评估,临床痴呆评定量表(Clinical Dementia Rating,CDR)得分为 0 或 0.5,并且进行了 flortaucipir(F-AV-1451)tau PET 扫描、florbetapir(F-AV-45)淀粉样蛋白 PET 扫描和结构 MRI 扫描。认知评估采用标准的反映情景记忆、执行功能、语义流畅性和处理速度的指标进行。
回溯性纵向分析的结果表明,每个生物标志物与整体认知综合指标均存在单变量关联;然而,当每个标志物在单一统计模型中进行分析时,只有 tau 是整体认知下降的显著预测因子。tau 和淀粉样蛋白之间存在交互作用,即淀粉样蛋白水平较高的个体 tau 相关认知下降更严重。与海马体积也存在交互作用,表明所有 3 种病理标志物水平较高的个体认知下降最明显。在每个认知领域内进行的额外分析表明,tau 对情景记忆和执行功能测试的负面影响最大。
这些结果表明,tau 水平的升高与生物标志物采集前的认知衰退最一致相关。这些发现支持阿尔茨海默病(Alzheimer's disease,AD)分期模型,即单独升高β-淀粉样蛋白可能不足以导致 AD 风险个体的认知变化,并支持使用多种生物标志物对 AD 进展进行分期。