Renji Alzheimer's Disease Neuroimaging Cohort Study

NCT ID: NCT05433363

Last Updated: 2022-06-27

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

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

60 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-02-14

Study Completion Date

2023-02-28

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

This study focuses on the population of Alzheimer disease (AD). Based on Aβ(A)-Tau(T)-Vascular(V)-Neurodegeneration(N) (ATV(N))-AD evaluation system of NIA-AA Association, it can accurately diagnose and predict early AD. Positron emission tomography (PET) - magnetic resonance (MR) was used to perform Aβ、Tau molecular imaging, representing A and T in the system respectively; The quantitative detection of glucose metabolism in the brain by fluorodeoxyglucose PET (FDG-PET) can reflect the degree of neuronal damage (N); In addition, PET-MR can be used to synchronously evaluate the patients' vascular comorbidity (SVD load score) (V). Through the preliminary construction of this system, to clarify the central deposition pattern of Aβ、tau protein and the characteristics of FDG metabolism; To clarify the correlation between PET-MR imaging indexes and the progression of early cognitive impairment in AD, and to clarify the role of degeneration and vascular factors in the occurrence and development of AD; To provide a preliminary basis for the subsequent establishment of a molecular imaging model for the prognosis of early AD.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Alzheimer disease (AD) is the most common cognitive impairment disease, which is mainly manifested in memory loss, language function and logical thinking disorder, and ultimately leads to the loss of independent living ability of patients. China has become the country with the largest number of AD patients in the world. At present, it has reached more than 8 million. The AD incidence rate of the elderly over 65 years old is 4%-6%, which seriously affects the health of the elderly. At present, the medicines used in clinical practice are only symptomatic treatment, and have no effect on reversing the course of disease. Studies have shown that AD has a preclinical period of more than 10 years. In this period, patients have specific pathological changes in the brain, but there are no obvious clinical symptoms. However, if the intervention is started after significant cognitive impairment, irreversible changes have taken place in the brain, and the intervention effect is limited. In recent years, many drug clinical studies on ad specific pathophysiological processes have not achieved positive results, which may be one of the important reasons why the study failed to include subjects in the early stage of the disease.

In this context, in 2011, the National Institute of Aging and the Alzheimer's Association (NIA-AA) developed diagnostic criteria for preclinical AD, mild cognitive impairment (MCI) due to AD, and dementia due to AD, which are based on AD specific biomarkers, transform the prenatal diagnosis of AD from clinical symptomatology architecture to central biomarker architecture (gold standard). The latter refers to β Amyloid protein(Aβ), Phosphorylated tau (p-tau) and secondary neurodegenerative injury (neurodegeneration), the so-called AT(N) architecture, in which "A" and "T" are AD specific lesions, and "A" is the earliest landmark change. Through in vivo detection of AD specific central markers to identify AD as early as possible and carry out targeted intervention, it is expected to provide the possibility for AD reversal. On the other hand, it is well known that AD tends to occur in the elderly, and there are often small vessel disease (SVD) coexisting in varying degrees. Both can work together to lead to AD progression. How to define the interaction between the two in the occurrence and progression of disease is also the focus of clinical research on AD. In this context, the 2018 NIA-AA standard update pointed out that the AT(N) architecture can be extended according to the AD comorbidity. For example, if AD is complicated with cerebrovascular disease, AT (N) can be correspondingly extended to ATV (N). The international clinical research based on AT(N) is very limited, while the research on ATV (N) is blank at present.

At present, PET-CT or PET-MR can be used to perform aβ and Tau molecular imaging and FDG-PET can reflect the damage degree of neurons through the quantitative detection of brain glucose metabolism, and realize the early accurate individual diagnosis of AD based on AT(N) architecture. PET-MR can also realize the simultaneous evaluation of patients' vascular comorbidity. For example, the SVD load score of MRI images is often used in clinical evaluation. Therefore, PET-MR research is carried out on patients with AD-MCI, It can realize the early accurate identification and comprehensive evaluation of AD based on AT(V) N architecture, and help to explore the contribution of degenerative factors and vascular load to the occurrence and development of cognition. It is a hot spot in clinical research in the field of AD at present, and it is in urgent need of breakthrough. At present, the research on the central biomarkers of early clinical AD is very limited, especially the longitudinal study which is combination of Aβ、 Tau and FDG multimodal PET images.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Alzheimer Disease

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

normal control

normal, cognitive test normal, PET(-)

No interventions assigned to this group

cognitive disorder due to AD

PET Aβ(+),MCI-AD and AD dementia

No interventions assigned to this group

cognitive disorder NOT due to AD

PET Aβ(-),MCI or dementia not due to AD

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* 1\) Age: 50-75 years old; 2) complaints of memory decline; 3) Education≥ 6 years; 4) Be able to cooperate with the whole neuropsychological examinations; 5) No PET-MRI or brain MRI contraindications; 6) Sign informed consent.
* normal control: 1) Age: 50-75 years old; 2) No complaints of memory decline; 3) Mini-Mental State Examination (MMSE) ≥ 26 points; 4) Education years ≥ 6 years; 5) Be able to cooperate with a full set of neuropsychological examinations; 6) No PET-MRI or brain MRI contraindications; 7) Sign informed consent.

Exclusion Criteria

* 1\) Serious mental illness; 2) Severe depression: Hamilton Depression Scale (HAMD-17) scores ≥ 24; 3) Serious heart, liver, kidney and other important organ diseases; 4) PET-MRI or brain MRI contraindications
Minimum Eligible Age

40 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

RenJi Hospital

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Qun Xu, professor

Role: PRINCIPAL_INVESTIGATOR

Renji Hospital, Shanghai Jiaotong University of Medicine

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Renji Hospital,Shanghai Jiao Tong University School of Medicine

Shanghai, , China

Site Status

Countries

Review the countries where the study has at least one active or historical site.

China

References

Explore related publications, articles, or registry entries linked to this study.

Dubois B, Feldman HH, Jacova C, Cummings JL, Dekosky ST, Barberger-Gateau P, Delacourte A, Frisoni G, Fox NC, Galasko D, Gauthier S, Hampel H, Jicha GA, Meguro K, O'Brien J, Pasquier F, Robert P, Rossor M, Salloway S, Sarazin M, de Souza LC, Stern Y, Visser PJ, Scheltens P. Revising the definition of Alzheimer's disease: a new lexicon. Lancet Neurol. 2010 Nov;9(11):1118-27. doi: 10.1016/S1474-4422(10)70223-4. Epub 2010 Oct 9.

Reference Type BACKGROUND
PMID: 20934914 (View on PubMed)

Sperling RA, Aisen PS, Beckett LA, Bennett DA, Craft S, Fagan AM, Iwatsubo T, Jack CR Jr, Kaye J, Montine TJ, Park DC, Reiman EM, Rowe CC, Siemers E, Stern Y, Yaffe K, Carrillo MC, Thies B, Morrison-Bogorad M, Wagster MV, Phelps CH. Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 2011 May;7(3):280-92. doi: 10.1016/j.jalz.2011.03.003. Epub 2011 Apr 21.

Reference Type BACKGROUND
PMID: 21514248 (View on PubMed)

Visser PJ, Tijms B. Brain Amyloid Pathology and Cognitive Function: Alzheimer Disease Without Dementia? JAMA. 2017 Jun 13;317(22):2285-2287. doi: 10.1001/jama.2017.6895. No abstract available.

Reference Type BACKGROUND
PMID: 28609518 (View on PubMed)

Jack CR Jr, Albert MS, Knopman DS, McKhann GM, Sperling RA, Carrillo MC, Thies B, Phelps CH. Introduction to the recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 2011 May;7(3):257-62. doi: 10.1016/j.jalz.2011.03.004. Epub 2011 Apr 21.

Reference Type BACKGROUND
PMID: 21514247 (View on PubMed)

Pantoni L, Gorelick P. Advances in vascular cognitive impairment 2010. Stroke. 2011 Feb;42(2):291-3. doi: 10.1161/STROKEAHA.110.605097. Epub 2011 Jan 13. No abstract available.

Reference Type BACKGROUND
PMID: 21233478 (View on PubMed)

Dichgans M, Leys D. Vascular Cognitive Impairment. Circ Res. 2017 Feb 3;120(3):573-591. doi: 10.1161/CIRCRESAHA.116.308426.

Reference Type BACKGROUND
PMID: 28154105 (View on PubMed)

Jack CR Jr, Bennett DA, Blennow K, Carrillo MC, Dunn B, Haeberlein SB, Holtzman DM, Jagust W, Jessen F, Karlawish J, Liu E, Molinuevo JL, Montine T, Phelps C, Rankin KP, Rowe CC, Scheltens P, Siemers E, Snyder HM, Sperling R; Contributors. NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimers Dement. 2018 Apr;14(4):535-562. doi: 10.1016/j.jalz.2018.02.018.

Reference Type BACKGROUND
PMID: 29653606 (View on PubMed)

Anderson ND. State of the science on mild cognitive impairment (MCI). CNS Spectr. 2019 Feb;24(1):78-87. doi: 10.1017/S1092852918001347. Epub 2019 Jan 17.

Reference Type BACKGROUND
PMID: 30651152 (View on PubMed)

Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. 1999 Mar;56(3):303-8. doi: 10.1001/archneur.56.3.303.

Reference Type BACKGROUND
PMID: 10190820 (View on PubMed)

Farias ST, Mungas D, Reed BR, Harvey D, DeCarli C. Progression of mild cognitive impairment to dementia in clinic- vs community-based cohorts. Arch Neurol. 2009 Sep;66(9):1151-7. doi: 10.1001/archneurol.2009.106.

Reference Type BACKGROUND
PMID: 19752306 (View on PubMed)

Tolar M, Abushakra S, Hey JA, Porsteinsson A, Sabbagh M. Aducanumab, gantenerumab, BAN2401, and ALZ-801-the first wave of amyloid-targeting drugs for Alzheimer's disease with potential for near term approval. Alzheimers Res Ther. 2020 Aug 12;12(1):95. doi: 10.1186/s13195-020-00663-w.

Reference Type BACKGROUND
PMID: 32787971 (View on PubMed)

Staals J, Booth T, Morris Z, Bastin ME, Gow AJ, Corley J, Redmond P, Starr JM, Deary IJ, Wardlaw JM. Total MRI load of cerebral small vessel disease and cognitive ability in older people. Neurobiol Aging. 2015 Oct;36(10):2806-11. doi: 10.1016/j.neurobiolaging.2015.06.024. Epub 2015 Jun 26.

Reference Type BACKGROUND
PMID: 26189091 (View on PubMed)

Staals J, Makin SD, Doubal FN, Dennis MS, Wardlaw JM. Stroke subtype, vascular risk factors, and total MRI brain small-vessel disease burden. Neurology. 2014 Sep 30;83(14):1228-34. doi: 10.1212/WNL.0000000000000837. Epub 2014 Aug 27.

Reference Type BACKGROUND
PMID: 25165388 (View on PubMed)

Jessen F, Amariglio RE, Buckley RF, van der Flier WM, Han Y, Molinuevo JL, Rabin L, Rentz DM, Rodriguez-Gomez O, Saykin AJ, Sikkes SAM, Smart CM, Wolfsgruber S, Wagner M. The characterisation of subjective cognitive decline. Lancet Neurol. 2020 Mar;19(3):271-278. doi: 10.1016/S1474-4422(19)30368-0. Epub 2020 Jan 17.

Reference Type BACKGROUND
PMID: 31958406 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

KY2021-260-B

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Assess Fibrin in Brains With AD/ADRD
NCT05336695 RECRUITING PHASE1/PHASE2