Study on Biomarkers for Early Diagnosis of Alzheimer's Disease

NCT ID: NCT04575337

Last Updated: 2023-12-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

6000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-05-28

Study Completion Date

2025-06-30

Brief Summary

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The project of Bio-AD is a population- based cohort study among the elderly in China.

The project includes not only Alzheimer's disease (AD including familial AD and sporadic AD), but also other clinical stage of AD, as well as elderly people with normal cognitive function.

The project will collect, detect and screen the special biomarkers at different clinical stage of AD based on body fluid, gene and brain image. The standard and consistent assessment protocols are employed to obtain clinical, cognitive, genetic, neuroimaging and biospecimen data.

The purpose of this project is to establish a panel of biomarkers which could be used to diagnose AD at the early stage, and to establish a risk prediction models for AD to predict the 5-years risk of the onset and progression of AD among elderly population in China.

Detailed Description

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1. Set up a large population- based cohort including AD, MCI, pre-MCI, other neurodegenerative diseases, and elderly individuals with normal cognitive function.
2. Collect the information of clinical and neuropsychological assessment, individual traits and social environmental factors, and neuroimaging data, as well as the biological samples, such as peripheral blood and cerebrospinal fluid.
3. Screen biomarkers with high specificity and sensitivity from peripheral blood, cerebrospinal fluid and neuroimaging to distinguish different clinical stages of AD at baseline.
4. Screen the AD-associated gene and their risk variants.
5. Establish a panel of AD-specific biomarkers for the preliminary development of diagnostic kit.
6. Identify AD-relevant factors and the special biomarkers to create a preliminary risk models to predict the onset and progression of AD.
7. Follow up the cohort for next 5 years and collect the multiple information and biological samples each year to validate and revise the risk prediction models and the diagnostic kit of AD.

Conditions

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Alzheimer Disease

Keywords

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Alzheimer Disease

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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AD group

Dementia is diagnosed according to the 2011 NIA-AA criteria.

No interventions assigned to this group

MCI group

aMCI diagnosed according to the criteria of 2004 Peterson.

No interventions assigned to this group

pre-MCI group

β-Amyloid positive or APOE ε4 carrier or complains of cognitive impairment; not up to MCI or cognitive impairment.

No interventions assigned to this group

Other neurodegenerative diseases

Frontotemporal Dementia; or Parkinson's disease

No interventions assigned to this group

Cognitive normal group

Individuals are with normal cognitive function and ≥ 60 years old.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Written informed consent obtained from participant or legal guardian prior to any study-related procedures.
* Aged 18 (inclusive) or older.
* Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-R). The diagnosis of AD is made using the National Institute of Neurologic and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (NINCDS- ADRDA) or National Institute on Aging and the Alzheimer's Assocation (NIA-AA) criteria. A diagnosis of mild cognitive impairment (MCI) is assigned according to Petersen criteria. A diagnosis of pre-MCI group is assigned by β-Amyloid positive or APOE ε4 carrier or complains of cognitive impairment, but not up to MCI or cognitive impairment. Normal cognitive function assessed/evaluated by MMSE, CDR and other cognitive function scales.
* Follow up 5 years and collect the information.

Exclusion Criteria

* Under age 18.
* Medical or psychiatric illness that would interfere in completing initial and follow-up visits.
* No one can serve as a study informant.
* With current or past neurological or psychiatric illnesses such as schizophrenia, epilepsy, brain tumors, severe head trauma and other diseases which can induce dementia.
* Refused to complete a cognitive test and provide biospecimen.
* With history of alcohol or drug abuse.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Capital Medical University

OTHER

Sponsor Role lead

Responsible Party

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Jianping Jia

Chief Director

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Jianping Jia, Doctor

Role: STUDY_CHAIR

Xuanwu Hospital of Capital Medical University

Locations

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Xuanwu Hospital of Capital Medical University

Beijing, Beijing Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Jianping Jia, Doctor

Role: CONTACT

Phone: #8610-83199449

Email: [email protected]

Facility Contacts

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Jianping Jia, Doctor

Role: primary

References

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Jia L, Fu Y, Shen L, Zhang H, Zhu M, Qiu Q, Wang Q, Yan X, Kong C, Hao J, Wei C, Tang Y, Qin W, Li Y, Wang F, Guo D, Zhou A, Zuo X, Yu Y, Li D, Zhao L, Jin H, Jia J. PSEN1, PSEN2, and APP mutations in 404 Chinese pedigrees with familial Alzheimer's disease. Alzheimers Dement. 2020 Jan;16(1):178-191. doi: 10.1002/alz.12005.

Reference Type BACKGROUND
PMID: 31914229 (View on PubMed)

Jia L, Quan M, Fu Y, Zhao T, Li Y, Wei C, Tang Y, Qin Q, Wang F, Qiao Y, Shi S, Wang YJ, Du Y, Zhang J, Zhang J, Luo B, Qu Q, Zhou C, Gauthier S, Jia J; Group for the Project of Dementia Situation in China. Dementia in China: epidemiology, clinical management, and research advances. Lancet Neurol. 2020 Jan;19(1):81-92. doi: 10.1016/S1474-4422(19)30290-X. Epub 2019 Sep 4.

Reference Type BACKGROUND
PMID: 31494009 (View on PubMed)

Jia L, Qiu Q, Zhang H, Chu L, Du Y, Zhang J, Zhou C, Liang F, Shi S, Wang S, Qin W, Wang Q, Li F, Wang Q, Li Y, Shen L, Wei Y, Jia J. Concordance between the assessment of Abeta42, T-tau, and P-T181-tau in peripheral blood neuronal-derived exosomes and cerebrospinal fluid. Alzheimers Dement. 2019 Aug;15(8):1071-1080. doi: 10.1016/j.jalz.2019.05.002.

Reference Type BACKGROUND
PMID: 31422798 (View on PubMed)

Qiu Q, Jia L, Wang Q, Zhao L, Jin H, Li T, Quan M, Xu L, Li B, Li Y, Jia J. Identification of a novel PSEN1 Gly111Val missense mutation in a Chinese pedigree with early-onset Alzheimer's disease. Neurobiol Aging. 2020 Jan;85:155.e1-155.e4. doi: 10.1016/j.neurobiolaging.2019.05.018. Epub 2019 May 31.

Reference Type BACKGROUND
PMID: 31235344 (View on PubMed)

Shen L, Qin W, Wu L, Zhou A, Tang Y, Wang Q, Jia L, Jia J. Two novel presenilin-1 mutations (I249L and P433S) in early onset Chinese Alzheimer's pedigrees and their functional characterization. Biochem Biophys Res Commun. 2019 Aug 13;516(1):264-269. doi: 10.1016/j.bbrc.2019.05.185. Epub 2019 Jun 21.

Reference Type BACKGROUND
PMID: 31235249 (View on PubMed)

Jia J, Li T, Yang J, Chen B, Qin W, Wei C, Song Y, Wang Q, Li Y, Jia L. Detection of plasma Abeta seeding activity by a newly developed analyzer for diagnosis of Alzheimer's disease. Alzheimers Res Ther. 2022 Feb 2;14(1):21. doi: 10.1186/s13195-022-00964-2.

Reference Type RESULT
PMID: 35109911 (View on PubMed)

Song Y, Quan M, Li T, Jia J. Serum Homocysteine, Vitamin B12, Folate, and Their Association with Mild Cognitive Impairment and Subtypes of Dementia. J Alzheimers Dis. 2022;90(2):681-691. doi: 10.3233/JAD-220410.

Reference Type RESULT
PMID: 36155508 (View on PubMed)

Gong M, Jia J. Contribution of blood-brain barrier-related blood-borne factors for Alzheimer's disease vs. vascular dementia diagnosis: A pilot study. Front Neurosci. 2022 Aug 8;16:949129. doi: 10.3389/fnins.2022.949129. eCollection 2022.

Reference Type RESULT
PMID: 36003963 (View on PubMed)

Other Identifiers

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Bio-AD

Identifier Type: -

Identifier Source: org_study_id