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Greater-Bay-Area Healthy Aging Brain Study (GHABS)

Greater-Bay-Area Healthy Aging Brain Study (GHABS): Biomarker- and Neuroimaging-based Study of the Pathophysiology Characterization and Evolutionary Patterns of Alzheimer's Disease

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06183658
Acronym
GHABS
Enrollment
1400
Registered
2023-12-27
Start date
2021-05-01
Completion date
2026-04-30
Last updated
2025-05-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Alzheimer's Disease

Brief summary

The goal of this observational study is to learn about the pathophysiology characterization and evolutionary patterns of Alzheimer's disease (AD) in South China older adults. The primary purposes are as follows: 1. The prevalence and characteristics of AD in South China's aging population 2. Identify novel biomarkers and neuroimaging techniques for early detection and intervention of AD 3. Supporting and fertilizing novel approaches and techniques for early diagnosis and intervention of AD Participants will undergo cognitive assessments, blood sample collection, and genetic testing. Some will undergo CSF collection, stool sample collection, MRI scanning, Aβ PET scanning, and tau PET scanning.

Detailed description

The Greater-Bay-Area Healthy Aging Brain Study (GHABS), a community-based longitudinal cohort study, aimed to characterize of Alzheimer's disease in South China's Aging Population, was launched in May 2021 in Shenzhen. The GHABS project was approved by the Shenzhen Bay Laboratory's and the collaborated hospitals' Ethical Committees. Each participant signed the written informed consent of the GHABS project before enrollment. The participants who met the inclusion and exclusion requirements were informed about the baseline and follow-up examinations. From 2021 to 2026, the GHABS cohort will recruit 1400 individuals aged 55 and older, including 1100 CU older adults, 200 MCI patients, and 100 dementia patients. All the GHABS participants will undergo cognitive assessments, genetic screening, and blood sample collection. Some will have CSF collection, stool sample collection, MRI scanning, Aβ PET scanning, and tau PET scanning. All baseline examinations will be completed within three months. At follow-up, clinical assessments and blood sample collection will be conducted annually. CSF sample collection, MRI scan, Aβ PET scan, and tau PET scan are evaluated every two years.

Interventions

DIAGNOSTIC_TESTFluids biomarker and neuroimaging of AD diagnosis

Early diagnosis of Alzheimer's disease in South China aging population using fluids biomarker and neuroimaging.

Sponsors

National Natural Science Foundation of China
CollaboratorOTHER_GOV
Guangdong Basic and Applied Basic Science Foundation
CollaboratorUNKNOWN
Shenzhen Science and Technology Innovation Commission
CollaboratorUNKNOWN
Shenzhen Bay Laboratory
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
55 Years to 90 Years
Healthy volunteers
Yes

Inclusion criteria

* This project intends to recruit men and women between the ages of 55 and 90. The inclusion criteria are as listed: * Age 55-90 years old (including 55 and 90 years old). However, people with autosomal dominant and other familial Alzheimer disease (FAD) are not limited by age. * The score of the Geriatric Depression Scale (GDS) is less than 6 points. * There is a caregiver who can maintain at least 10 hours of contact per week and can accompany volunteers to the test site for testing. * Visual and auditory acuity is sufficient for neuropsychological testing. (Including normal corrected vision and hearing) * Be in good health and are expected to be free of disease interference during the study. * Volunteers are not pregnant, lactating or have reproductive potential (that is, women must be two years after menopause or undergo sterilization surgery). * Willingness and ability to participate in longitudinal imaging studies. * A modified version of the Hachinski Ischemic scores less than or equal to 4. * Have completed grade 6 education or have good work experience (sufficient to rule out mental retardation). * Must be able to speak Mandarin fluently. * Willing to undergo multiple 3T MRI scans and at least two PET scans. * Agree to collect blood for genomic analysis (including GWAS sequencing and other analyses), AD risk and protective genes such as apolipoprotein E (APOE), klotho, etc., and biological sample storage. * Agree to collect blood for biomarker detection. * Agree to share genomic data and biomarker samples.

Exclusion criteria

* MRI brain scan screening reveals infection, infarction or other focal lesions or multiple lacunes or lacunes in key memory structures. * Any volunteers who do not meet the MRI scan requirements, including having a cardiac pacemaker, eyes, skin or metal fragments or foreign bodies in the body. * Severe depression, bipolar affective disorder described in DSM-IV in the past year. * Psychotic features, agitation or behavioral problems that may lead to difficulty complying with the protocol content in the past 3 months. * Currently using medication to treat obsessive-compulsive disorder or attention deficit disorder. * History of schizophrenia (meeting DSM-IV criteria). * History of alcohol or drug abuse or dependence within the past 2 years (metting DSM-IV criteria). * Any major systemic disease or unstable physical condition that may make longitudinal research difficult. * Clinically significant abnormalities of B12 or TFTs may interfere with the study, low B12 will be excluded. * Currently using certain psychoactive medications (e.g., certain antidepressants, neuro-depressants, chronic anxiolytics, or sedative-hypnotics). Currently using warfarin or other anticoagulants such as dabigatran, rivaroxaban, and apixaban (except lumbar puncture). * Use of prohibited drugs. * Simultaneously participating in other clinical studies involving neuropsychiatry.

Design outcomes

Primary

MeasureTime frameDescription
Longitudinal functional and behavioral function _ RBDSQAn average of 1 yearREM sleep behavior disorder screening questionnaire (RBDSQ)
Longitudinal functional and behavioral function _ CDRAn average of 1 yearClinical Dementia Rating (CDR)
Longitudinal functional and behavioral function _ NPIAn average of 1 yearNeuropsychiatric Inventory (NPI)
Longitudinal functional and behavioral function _ GDSAn average of 1 yearGeriatric Depression Scale (GDS)
Longitudinal functional and behavioral function _ FAQAn average of 1 yearFunction Activities Questionnaire (FAQ)
Longitudinal functional and behavioral function _ ADLAn average of 1 yearActivity of Daily Living Scale (ADL)
Longitudinal functional and behavioral function _ PSQIAn average of 1 yearPittsburgh sleep quality index (PSQI)
Longitudinal changes of cognitive function _ ADAS-CogAn average of 1 yearAlzheimer's Disease Assessment Scale - Cognitive Subscale (ADAS-Cog)
Longitudinal changes of cognitive function _ MMSE, the Chinese versionAn average of 1 yearMini-mental State Examination (MMSE, the Chinese version)
Longitudinal changes of cognitive function _ MoCA-BasicAn average of 1 yearMontreal Cognitive Assessment Basic (MoCA-Basic)

Secondary

MeasureTime frameDescription
Longitudinal changes of plasma biomarkersAn average of 1 yearLongitudinal changes of disease status as categorized by plasma biomarkers of Alzheimer's diseases over time.
Longitudinal changes of CSF biomarkersAn average of 2 yearsLongitudinal changes of disease status as categorized by CSF biomarkers of Alzheimer's diseases over time.
Longitudinal changes in neuroimaging _ MRI imagesAn average of 2 yearsLongitudinal change in brain structure using magnetic resonance imaging (MRI)
Longitudinal changes in neuroimaging _ amyloid PET imagesAn average of 2 yearsLongitudinal changes in amyloid deposition
Longitudinal changes in neuroimaging _ tau PET imagesAn average of 2 yearsLongitudinal changes in tau deposition

Other

MeasureTime frameDescription
Correlation of microbiome to Alzheimer's Disease1 time samplingCorrelation of microbiome to Alzheimer's Disease via relative abundance found in gut microbiome study. These data will then be correlated to Alzheimer's disease state

Countries

China

Contacts

Primary ContactMengyi Ge, Ph.D.
gemy@szbl.ac.cn+8618665351340
Backup ContactZhen Liu, Ph.D.
liuzhen@szbl.ac.cn+8617685736893

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026