Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Department of Prevention and Health Protection, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
J Alzheimers Dis. 2020;75(2):483-492. doi: 10.3233/JAD-200059.
The National Institute on Aging and Alzheimer's Association proposed an ATN classification system which divided Alzheimer's disease biomarkers into three binary classes: amyloid deposition (A), tauopathy (T), and neurodegeneration or neuronal injury (N).
To estimate the prevalence of each profile and to describe the demographic characteristics of each group in Chinese cognitively intact older adults.
In this cross-sectional study, 561 cognitively intact participants from the Chinese Alzheimer's Biomarker and LifestylE (CABLE) study were classified into eight groups using cerebrospinal fluid amyloid-β 42/40 as A, phosphorylated tau as T, and total tau as N. Multinomial models were used to determine the estimated prevalence of the eight groups.
The number and proportion of 561 participants in each ATN profile were 254 A-T-N- (45.3%), 28 A-T+N- (5.0%), 21 A-T-N+ (3.7%), 71 A-T+N+ (12.7%), 78 A + T-N- (13.9%), 14 A + T+N- (2.5%), 21 A + T-N+ (3.7%), and 74 A + T+N+ (13.2%). Individuals in N+ groups tend to be older than N- groups. A+ groups included more female individuals. The prevalence of A-T-N- profile declined with age, while that of A + T+N+ increased continuously.
This is the first work to estimate the prevalence of each ATN profile and describe the demographic characteristics of ATN profiles based on a Chinese cohort. The clinical implications of our findings need to be scrutinized further in longitudinal studies of the ATN classification system.
美国国家老龄化研究所和阿尔茨海默病协会提出了一个 ATN 分类系统,将阿尔茨海默病生物标志物分为三类:淀粉样蛋白沉积(A)、tau 病理(T)和神经退行性变或神经元损伤(N)。
估计每种特征的患病率,并描述中国认知正常老年人中每个组的人口统计学特征。
在这项横断面研究中,来自中国阿尔茨海默病生物标志物和生活方式(CABLE)研究的 561 名认知正常参与者根据脑脊液淀粉样蛋白-β42/40 分为 A、磷酸化 tau 为 T 和总 tau 为 N 三类。使用多项模型确定这 8 组的估计患病率。
561 名参与者在每个 ATN 特征中的数量和比例分别为 254 名 A-T-N-(45.3%)、28 名 A-T+N-(5.0%)、21 名 A-T-N+(3.7%)、71 名 A-T+N+(12.7%)、78 名 A+T-N-(13.9%)、14 名 A+T+N-(2.5%)、21 名 A+T-N+(3.7%)和 74 名 A+T+N+(13.2%)。N+组的个体往往比 N-组的个体年龄更大。A+组包含更多的女性个体。A-T-N-特征的患病率随着年龄的增长而下降,而 A+T+N+的患病率则持续增加。
这是第一项根据中国队列估计每个 ATN 特征的患病率并描述 ATN 特征的人口统计学特征的工作。需要在 ATN 分类系统的纵向研究中进一步研究我们研究结果的临床意义。