Du Lianlian, Planalp Elizabeth M, Betthauser Tobey J, Jonaitis Erin M, Hermann Bruce P, Rivera-Rivera Leonardo A, Cody Karly A, Chin Nathaniel A, Cadman Robert V, Johnson Kevin M, Field Aaron, Rowley Howard A, Mueller Kimberly D, Asthana Sanjay, Eisenmenger Laura, Christian Bradley T, Johnson Sterling C, Langhough Rebecca E
Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA.
Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA.
Brain Commun. 2025 Apr 19;7(3):fcaf158. doi: 10.1093/braincomms/fcaf158. eCollection 2025.
The temporal relationship between cerebrovascular disease (V), indicated by white matter hyperintensities, and beta-amyloid (A) in Alzheimer's disease remains unclear, prompting speculation about their potential interdependence. Longitudinal data were employed to estimate onset ages and corresponding disease chronicity for A and V (where disease chronicity is calculated as age at measurement minus estimated age of biomarker abnormality onset). In a large, predominantly cognitively unimpaired dataset ( = 877, ages 43-93 years), a V+ threshold was identified, and Sampled Iterative Local Approximation (SILA) was utilized to illustrate the predictable accumulation trajectory of V post-onset. Investigating the temporal association between A and V onset ages and accumulation trajectories in preclinical years, four operationalizations of time were examined across two initially cognitively unimpaired samples ( = 240 primary sample from Wisconsin Registry for Alzheimer's Prevention; = 123 replication sample from Wisconsin Alzheimer's Disease Research Center): (i) chronological age, (ii) estimated V+ chronicity, (iii) years since baseline scan, and (iv) estimated A+ chronicity. Results indicated that while both diseases are age-related, their onsets and trajectories are independent of each other. In addition, results indicated that V and A accumulation trajectories were highly predictable relative to onset of positivity for each biomarker. Cognitive decline across multiple cognitive domains was fastest when both V and A were present based on last available amyloid PET and MRI scan, with greater A chronicity being a more salient predictor of cognitive decline in these samples.
由白质高信号所指示的脑血管疾病(V)与阿尔茨海默病中的β-淀粉样蛋白(A)之间的时间关系仍不明确,这引发了对它们潜在相互依存关系的猜测。采用纵向数据来估计A和V的发病年龄及相应的疾病病程(其中疾病病程计算为测量时的年龄减去生物标志物异常发病的估计年龄)。在一个大型的、主要认知功能未受损的数据集(n = 877,年龄43 - 93岁)中,确定了一个V+阈值,并利用抽样迭代局部近似法(SILA)来说明发病后V的可预测积累轨迹。在临床前阶段研究A和V发病年龄及积累轨迹之间的时间关联,在两个最初认知功能未受损的样本中(n = 240,来自威斯康星州阿尔茨海默病预防登记处的主要样本;n = 123,来自威斯康星州阿尔茨海默病研究中心的重复样本)检查了四种时间操作化定义:(i)实际年龄,(ii)估计的V+病程,(iii)自基线扫描以来的年数,以及(iv)估计的A+病程。结果表明,虽然两种疾病都与年龄相关,但它们的发病和轨迹相互独立。此外,结果表明,相对于每种生物标志物阳性的发病,V和A的积累轨迹具有高度可预测性。根据最后一次可用的淀粉样蛋白PET和MRI扫描,当V和A都存在时,多个认知领域的认知衰退最快,在这些样本中,A病程较长是认知衰退更显著的预测因素。