Description

Baseline data collection and cohort establishing: Detailed clinical information including demographic data, clinical history, past history and physical examination are collected. Formatted neuropsychological battery is used in all patients, including screening tests (MMSE, MoCA-PUMCH, ADL, HAD) and domain specific evaluation (Memory, executive function, visual spatial, calculation, language). Samples including serum, CSF, urine, skin, saliva are stored. Every patient is followed up every 6 months. Autopsy brain tissue will be collected if patients died.

Multi-model neuroimaging evaluation: Structure and functional brain 3T-MRI; 7T-MRI； PET-CT including FDG, Aβ（18F-AV45）,tau（18F-THK5317, 18F-T807）; EEG

Multi-omics biomarkers research:

CSF AD biomarkers (Aβ40,42, ptau181, ttau, NfL, Neurogranin), comparison of different methods, including ELISA, Electrochemical, Mass Spectroscopy. The standardization of CSF biomarkers analysis in China.

Exploring new fluid biomarkers: CSF and Urine proteomics; CSF and serum glycomics and metabolomics. To explore new biomarkers in differentiation of different causes of dementia, age onset and prognosis of dementia.

Genetic biomarkers evaluation: including pathogenic gene mutation panel examination and WES.

Data analysis and biomarkers evaluation: Dementia patients are stratified based on age onset, cause of dementia, cognition severity, effect of therapy, prognosis. Identify multi-omics biomarkers in different groups. Comparing the relationships between biomarkers and clinical presentations as well as neuroimaging. Autopsy based accurate diagnosis help further defining biomarkers.

Acquiring stratified biomarkers with high sensitivity and specificity.