Watermeyer Tam, Marroig Alejandra, Ritchie Craig W, Ritchie Karen, Blennow Kaj, Muniz-Terrera Graciela
Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Department of Psychology, Faculty of Health and Life Sciences, Northumbria University, Newcastle, UK.
J Alzheimers Dis. 2020;78(1):185-194. doi: 10.3233/JAD-200514.
Cognitive dispersion, variation in performance across cognitive domains, is posited as a non-invasive and cost-effective marker of early neurodegeneration. Little work has explored associations between cognitive dispersion and Alzheimer's disease (AD) biomarkers in healthy older adults. Even less is known about the influence or interaction of biomarkers reflecting brain pathophysiology or other risk factors on cognitive dispersion scores.
The main aim of this study was to examine whether higher cognitive dispersion was associated with cerebrospinal fluid (CSF) levels of amyloid-β (Aβ42), total tau (t-tau), phosphorylated tau (p-tau), and amyloid positivity in a cohort of older adults at various severities of AD. A secondary aim was to explore which AD risk factors were associated with cognitive dispersion scores.
Linear and logistic regression analyses explored the associations between dispersion and CSF levels of Aβ42, t-tau, and p-tau and amyloid positivity (Aβ42 < 1000 pg/ml). Relationships between sociodemographics, APOEɛ4 status, family history of dementia, and levels of depression and dispersion were also assessed.
Dispersion did not emerge as associated with any of the analytes nor amyloid positivity. Older (β= -0.007, SE = 0.002, p = 0.001) and less educated (β= -0.009, SE = 0.003, p = 0.009) individuals showed greater dispersion.
Dispersion was not associated with AD pathology, but was associated with age and years of education, highlighting individual differences in cognitive aging. The use of this metric as a screening tool for existing AD pathology is not supported by our analyses. Follow-up work will determine if dispersion scores can predict changes in biomarker levels and/or positivity status longitudinally.
认知离散,即认知领域表现的变化,被认为是早期神经退行性变的一种非侵入性且具有成本效益的标志物。很少有研究探讨健康老年人认知离散与阿尔茨海默病(AD)生物标志物之间的关联。关于反映脑病理生理学的生物标志物或其他风险因素对认知离散分数的影响或相互作用,所知更少。
本研究的主要目的是在不同AD严重程度的老年人群队列中,检验较高的认知离散是否与脑脊液(CSF)中淀粉样蛋白β(Aβ42)、总tau蛋白(t-tau)、磷酸化tau蛋白(p-tau)水平以及淀粉样蛋白阳性有关。次要目的是探讨哪些AD风险因素与认知离散分数相关。
线性和逻辑回归分析探讨了离散与CSF中Aβ42、t-tau和p-tau水平以及淀粉样蛋白阳性(Aβ42<1000 pg/ml)之间的关联。还评估了社会人口统计学、APOEɛ4状态、痴呆家族史以及抑郁水平与离散之间的关系。
离散与任何分析物或淀粉样蛋白阳性均无关联。年龄较大(β = -0.007,标准误 = 0.002,p = 0.001)和受教育程度较低(β = -0.009,标准误 = 0.003,p = 0.009)的个体表现出更大的离散。
离散与AD病理无关,但与年龄和受教育年限有关,突出了认知老化中的个体差异。我们的分析不支持将该指标用作现有AD病理的筛查工具。后续工作将确定离散分数是否能够纵向预测生物标志物水平和/或阳性状态的变化。