From the Department of Neurology (C.P., A.S., K.A., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; and Department of Biostatistics (J.W., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Neurology. 2020 Dec 8;95(23):e3093-e3103. doi: 10.1212/WNL.0000000000010946. Epub 2020 Sep 28.
To determine whether vascular risk and Alzheimer disease (AD) biomarkers have independent or synergistic effects on cognitive decline and whether vascular risk is associated with the accumulation of AD pathology as measured by change in biomarkers over time.
At baseline, participants (n = 168) were cognitively normal and primarily middle-aged (mean 56.4 years, SD 10.9 years) and had both vascular risk factor status and proximal CSF biomarkers available. Baseline vascular risk was quantified with a composite vascular risk score reflecting the presence or absence of hypertension, hypercholesterolemia, diabetes, current smoking, and obesity. CSF biomarkers of β-amyloid (Aβ), total tau (t-tau), and phosphorylated tau (p-tau) were used to create dichotomous high and low AD biomarker groups (based on Aβ and tau). Linear mixed-effects models were used to examine change in a cognitive composite score (mean follow-up 13.9 years) and change in CSF biomarkers (mean follow-up 4.2 years).
There was no evidence of a synergistic relationship between the vascular risk score and CSF AD biomarkers and cognitive decline. Instead, the vascular risk score (estimate -0.022, 95% confidence interval [CI] -0.043 to -0.002, = 0.03) and AD biomarkers (estimate -0.060, 95% CI -0.096 to -0.024, = 0.001) were independently and additively associated with cognitive decline. In addition, the vascular risk score was unrelated to levels of or rate of change in CSF Aβ, t-tau, or p-tau.
The results of this observational cohort study suggest that vascular risk and biomarkers of AD pathology, when measured in midlife, act along independent pathways and underscore the importance of accounting for multiple risk factors for identifying cognitively normal individuals at the greatest risk of cognitive decline.
确定血管风险和阿尔茨海默病(AD)生物标志物对认知能力下降是否具有独立或协同作用,以及血管风险是否与 AD 病理的积累有关,具体表现为随时间推移生物标志物的变化。
在基线时,参与者(n=168)认知正常,主要为中年(平均 56.4 岁,标准差 10.9 岁),且血管风险因素状况和脑脊液(CSF)近端生物标志物均可用。基线血管风险通过反映高血压、高胆固醇血症、糖尿病、当前吸烟和肥胖存在或缺失的复合血管风险评分进行量化。β-淀粉样蛋白(Aβ)、总 tau(t-tau)和磷酸化 tau(p-tau)的 CSF 生物标志物用于创建 AD 生物标志物高低两组的二分法(基于 Aβ和 tau)。使用线性混合效应模型来检测认知综合评分的变化(平均随访 13.9 年)和 CSF 生物标志物的变化(平均随访 4.2 年)。
血管风险评分和 CSF AD 生物标志物与认知能力下降之间没有协同关系的证据。相反,血管风险评分(估计值 -0.022,95%置信区间 [CI] -0.043 至 -0.002, = 0.03)和 AD 生物标志物(估计值 -0.060,95%CI -0.096 至 -0.024, = 0.001)与认知能力下降独立且累加相关。此外,血管风险评分与 CSF Aβ、t-tau 或 p-tau 的水平或变化率无关。
这项观察性队列研究的结果表明,在中年测量时,血管风险和 AD 病理生物标志物沿独立途径起作用,这突出表明,为了识别认知正常但认知能力下降风险最高的个体,必须考虑多种风险因素。