NeuroCare Community Project: A Community Based Prospective Observational Study for Early Alzheimer's Detection in HK

Hong Kong University of Science and Technology

Status

Not yet enrolling

Conditions

Normal Cognition

Mild Cognitive Impairment

AD - Alzheimer's Disease

Dementia

Treatments

Other: Observational

Study type

Observational

Funder types

Other

Identifiers

NCT07347574

HREP-2025-0390

Details and patient eligibility

About

Population aging is reshaping societal dynamics and presents significant global challenges. By 2050, it is projected that 1.6 billion people worldwide will be over the age of 65. Given that aging is the primary risk factor for many common chronic diseases, reducing the burden of age-related illnesses and promoting healthy aging have become critical public health priorities. Notably, Hong Kong has one of the largest proportions of elderly and the highest life expectancy in the world. Dementia, particularly Alzheimer's disease (AD), is a multifaceted condition influenced by both biological and behavioral factors. There is a paucity of robust, community-based prospective data in ethnic Chinese populations that integrate clinical and cognitive measures with objective biomarkers and neuroimaging, especially at earlier stages such as mild cognitive impairment (MCI) and early AD. This community-based project aims to establish a cohort of elderly in Hong Kong, with longitudinal follow-up for 2-3 years. A key strength of this research is the incorporation of a panel of blood biomarkers, which will provide a less invasive and more affordable screening tool to identify Alzheimer's disease at a much earlier stage in the community. Additionally, through benchmark with MRI and PET imaging gold standard, these biomarkers have the potential to predict the conversion risk 1) from clinically normal to mild cognitive impairment and Alzheimer's disease (AD dementia); 2) from clinically MCI to Alzheimer's disease (MCI-AD dementia) or remain static; and differentiate non-AD dementia from Alzheimer's disease (dementia-AD). Collectively, these data will facilitate monitoring of aging processes and cognitive decline, help to identify candidate modifiable factors associated with resilience, and generate a de-identified, Chinese-specific resource to advance healthy aging in Hong Kong.

Full description

Introduction Population aging is a major global challenge with estimated 1.6 billion people will be over 65 by 2050. Aging is the main risk factor for many chronic diseases, including Alzheimer's disease (AD). Hong Kong features one of the world's largest proportions of older adults and highest life expectancy and therefore, Hong Kong will face a particular heavy burden on caring of elderly citizens with dementia. Hence, to better planning for caring the aging population within the community, there is a need for robust, community-based data integrating clinical, cognitive, biomarker, and neuroimaging metrics in ethnic Chinese populations. Research Objectives

Compare validity of clinical assessments, clinical diagnoses, and blood biomarker panels for identifying clinically normal, MCI, and AD using MRI scan and PET imaging as gold standard in a community-based setting.
Validate blood biomarker panels for predicting conversion from clinically normal to MCI-AD, AD, non-AD MCI/dementia, and MCI to AD/non-AD dementia.
Explore novel blood and imaging biomarkers for AD diagnosis and progression. Study Design Prospective, community-based cohort study lasting for 5-year duration and expected average 2-3 years longitudinal follow-up for participants.
Pre-screening of 6,000 community-dwelling elderly at community centers (5-min MoCA, no consent required).
Enrollment of ~2,500 participants for cross-sectional cohort with informed consent.
Participants selection and down select as detailed in next section. Participants will undergo clinical, cognitive, and functional assessments; demographic and clinical data collected at local centers.
Blood sampling by research personnel (HKUST, HKCeND, TWC) with fasting blood processed, analyzed, and stored at HKUST/HKCeND.
Proteomic results used to stratify participants into low, intermediate, or high risk; imaging follow-up based on stratification. Setting
Recruitment at district-level community centers for elderly across Hong Kong.
Centers act as support hubs for healthy aging and provide access to a representative sample.
Collaboration with Tung Wah College and Tung Wah Group of Hospitals' network. Participant Selection and Down-Selection via Multi-Stage Protocol
Target: Community-dwelling older adults (Han Chinese, age 60-75) identified through community centers.
Stage 1 - Brief cognitive screening: 6,000 screened via MoCA-5min; subgroup assignment by percentile (dementia: <2%, mild cognitive impairment (MCI): 2-16%, cognitively normal (CN): >16%).
Stage 2 - Cross-sectional cohort: 2,500 enrolled, informed consent, clinical and physical assessments, blood tests, clinical diagnosis (DSM-IV). Distribution of subgroups selected: dementia 14%, MCI 43%, and CN 43%.
Stage 3 - Proteomic sub-cohort: 750 selected for plasma proteomics (21- protein panel + pTau217) and stratified by proteomic score (negative < 21, intermediate 21-52, positive > 52).
Stage 4 - Imaging sub-cohort: 350 selected for advanced imaging (MRI, amyloid PET) based on clinical diagnosis and proteomic result. All assessments repeated at follow-up for longitudinal monitoring. Variables and Measurement
Brief Cognitive Function: MoCA-5min: Memory, attention, language, abstraction, orientation.
Demographics: Age, sex, ethnicity, marital status, family history, education, socio-economic status, occupation.
Anthropometrics: Height (stadiometer), weight (calibrated scale), BMI calculation.
Cardiovascular Health: BP, pulse (automated monitor).
Clinical Assessment Battery: MoCA (full), ADL, iADL, FRAIL, PHQ-9, MBIS.
Clinical Diagnosis: NIA-AA criteria, applied by registered physicians.
Blood Tests: 1) Chemistry: Liver, kidney, bone/muscle enzymes, lipids, glucose; 2) Haematology: CBC; 3) Proteomics: Olink, Simoa, Fujirebio, Alamar Biosciences platforms for plasma protein profiling; 4) Genomics (optional): Whole-genome sequencing, methylation arrays, RNA-seq for AD risk loci and gene expression.
Amyloid/Tau PET and MRI Brain Imaging: PET: Gold standard for amyloid/ tau detection; MRI for structural changes and regional volumetrics.
Imaging repeated at 2-3 years follow-up for longitudinal assessment.

Enrollment

2,500 estimated patients

Sex

All

Ages

60 to 75 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

Mentally capable of providing informed consent, with or without an informant present
Willing and able to undergo blood draw and complete study related assessments; willing to be contacted for follow-up

Exclusion criteria

Lacks capacity to consent even with an informant present
Refuses or is unable to provide blood samples or complete essential assessments
Currently enrolled in another clinical trial that could interfere with this study
Known illness that prevents longitudinal follow up or uncontrolled medical illness such as neurodevelopmental disorder, neurodegenerative disease, epilepsy, central nervous system infection, neuroinflammatory diseases, brain tumor, cerebrovascular diseases, history of major psychiatric illness, history of major head injury with altered consciousness, sexually transmitted disease including HIV and syphilis, visual and auditory disability, history of alcohol dependence, substance use disorder, systemic autoimmune diseases such as systemic lupus erythematosus and rheumatoid arthritis, or malignancy.
Active delirium or evidence of reversible/secondary causes of cognitive impairment (e.g., vitamin B12 deficiency, hypothyroidism) until treated/ stabilized