机构：[1]School of Life Sciences, Shanghai University, Shanghai 200444, China.[2]Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing 100053, China.神经科系统神经内科首都医科大学宣武医院[3]Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.[4]Computer Aided Medical Procedures, School of Computation, Information and Technology, Technical University of Munich, 85748 Munich, Germany.
Clinical cognitive advancement within the Alzheimer's disease (AD) continuum is intimately connected with sustained accumulation of tau protein pathology. The biological brain age and its gap show great potential for pathological risk and disease severity. In the present study, we applied multivariable linear support vector regression to train a normative brain age prediction model using tau brain images. We further assessed the predicted biological brain age and its gap for patients within the AD continuum. In the AD continuum, evaluated pathologic tau binding was found in the inferior temporal, parietal-temporal junction, precuneus/posterior cingulate, dorsal frontal, occipital, and inferior-medial temporal cortices. The biological brain age gaps of patients within the AD continuum were notably higher than those of the normal controls (p < 0.0001). Significant positive correlations were observed between the brain age gap and global tau protein accumulation levels for mild cognitive impairment (r = 0.726, p < 0.001), AD (r = 0.845, p < 0.001), and AD continuum (r = 0.797, p < 0.001). The pathologic tau-based age gap was significantly linked to neuropsychological scores. The proposed pathologic tau-based biological brain age model could track the tau protein accumulation trajectory of cognitive impairment and further provide a comprehensive quantification index for the tau accumulation risk.
基金：
This research was funded by National Natural Science Foundation of China (grant numbers:
62206165, 62303295, 62376150, 82272039, 82021002, and 81971641); the Science and Technology
Innovation 2030—Major Projects (2022ZD021600); and China Postdoctoral Science Foundation
(2022M722034).
第一作者机构：[1]School of Life Sciences, Shanghai University, Shanghai 200444, China.
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Wang Min,Wei Min,Wang Luyao,et al.Tau Protein Accumulation Trajectory-Based Brain Age Prediction in the Alzheimer's Disease Continuum[J].Brain Sciences.2024,14(6):doi:10.3390/brainsci14060575.
APA：
Wang Min,Wei Min,Wang Luyao,Song Jun,Rominger Axel...&Jiang Jiehui.(2024).Tau Protein Accumulation Trajectory-Based Brain Age Prediction in the Alzheimer's Disease Continuum.Brain Sciences,14,(6)
MLA：
Wang Min,et al."Tau Protein Accumulation Trajectory-Based Brain Age Prediction in the Alzheimer's Disease Continuum".Brain Sciences 14..6(2024)
