Study on Biomarkers for Early Diagnosis of Alzheimer's Disease
Study on Body Fluid, Gene and Neuroimaging Biomarkers for Early Diagnosis of Alzheimer's Disease
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.
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
- Set up a large population- based cohort including AD, MCI, pre-MCI, other neurodegenerative diseases, and elderly individuals with normal cognitive function.
- 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.
- Screen biomarkers with high specificity and sensitivity from peripheral blood, cerebrospinal fluid and neuroimaging to distinguish different clinical stages of AD at baseline.
- Screen the AD-associated gene and their risk variants.
- Establish a panel of AD-specific biomarkers for the preliminary development of diagnostic kit.
- Identify AD-relevant factors and the special biomarkers to create a preliminary risk models to predict the onset and progression of AD.
- 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.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Jianping Jia, Doctor
- Phone Number: #8610-83199449
- Email: jiajp@vip.126.com
Study Locations
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Beijing Municipality
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Beijing, Beijing Municipality, China, 100053
- Recruiting
- Xuanwu Hospital of Capital Medical University
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Contact:
- Jianping Jia, Doctor
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
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MCI group
aMCI diagnosed according to the criteria of 2004 Peterson.
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AD group
Dementia is diagnosed according to the 2011 NIA-AA criteria.
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pre-MCI group
β-Amyloid positive or APOE ε4 carrier or complains of cognitive impairment; not up to MCI or cognitive impairment.
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Other neurodegenerative diseases
Frontotemporal Dementia; or Parkinson's disease
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Cognitive normal group
Individuals are with normal cognitive function and ≥ 60 years old.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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A multiple diagnostic kit for early diagnosis of AD.
Time Frame: An Average of 1 year
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A panel of special biomarkers is identified for early diagnosis of AD.
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An Average of 1 year
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A 5-years risk prediction model for onset and progression of AD among elderly population in China.
Time Frame: An Average of 1 year
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A 5-years risk prediction model including multiple factors to predict the onset and progression of AD in China.
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An Average of 1 year
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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A panel of biomarker with high specificity and sensibility
Time Frame: An Average of 1 year
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Screening the biomarker with high specificity and sensibility in body fluid at different clinical stage of AD.
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An Average of 1 year
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AD-associated genes in Chinese.
Time Frame: An Average of 1 year
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AD-associated genes and their risk variants will be identified by whole exome sequencing in this project.
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An Average of 1 year
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Neuroimaging biomarkers for AD
Time Frame: An Average of 1 year
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The certain threshold on neuroimaging biomarkers will be established to distinguish the different clinical stage of AD.
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An Average of 1 year
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Risks and protective factors for AD among elderly in China
Time Frame: An Average of 1 year
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The risks and protective factors of individual and environment will be estimated in this project.
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An Average of 1 year
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Chair: Jianping Jia, Doctor, Xuanwu Hospital of Capital Medical University
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Bio-AD
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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