The goal of this project is to determine relationships among the clinical, cognitive, imaging, genetic and biochemical biomarker characteristics of the entire spectrum of Alzheimer's disease (AD), as pathology evolves from normal aging to very mild symptoms, to mild cognitive impairment (MCI), to dementia. ADNl will inform the neuroscience of AD, identify diagnostic and prognostic markers, identify outcome measures that can be used in clinical trials, and help develop the most effective clinical trial scenarios. ADNI2 continues the currently funded AD Neuroimaging Initiative (ADNI1), a public/private collaboration between academia and industry to study biomarkers of AD as well as a recently funded Grand Opportunities grant that supplements ADNl goals and activities (GO). New aspects of ADNl include enrolling subjects with early MCI (EMCI), F18 amyloid imaging, and obtaining all clinical/cognitive, lumbar puncture CSF and plasma biomarker, and MRI/PET data on all subjects. The goals of this ADNl renewal will be accomplished by: 1) continuing annual clinical/cognitive/MRI follow up of the 476 normal controls and late MCI (LMCI) subjects previously enrolled in ADNI1;2) following the 200 EMCI subjects enrolled in the GO ADNl grant;3) additional enrollment of new healthy controls (n=150), EMCI (n=100 which adds to the 200 subjects enrolled in GO), LMCI (n=150), and AD (n=150) subjects;4) performance of F18 amyloid PET (using F18 AV-45 from AVID, Inc.) on all new subjects enrolled in ADNI2, together with FDG PET, and to obtain a 2nd F18 amyloid PET on all remaining ADNI1, GO, and ADNI2 subjects 2 years after the baseline scan;5) continue to obtain annual clinical/cognitive/blood draw/lumbar puncture for CSF, and MRI on all subjects. All collected data will be processed and analyzed by ADNl investigators including the Biostatistical Core, and made available to all qualified scientists in the world who request a password, without embargo. Hypotheses developed from current ADNl data will be replicated and new hypotheses tested, especially concerning EMCI and F18 amyloid imaging. ADNl spawned large multisite projects in other countries. No other large multisite study in the world addresses these complex issues with the sample size and statistical power of this application.

Public Health Relevance

Alzheimer's disease (AD) causes cognitive impairment and dementia in millions of Americans and costs more than $100 billion/year in the USA. This ADNl project will provide new information which will greatly facilitate design of clinical treatment trials and will help develop new diagnostic techniques which identify AD at an early stage, ultimately leading to effective treatment and prevention of AD. REVIEW OF THE OVERALL PROGRAM

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01AG024904-07
Application #
8146972
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5 (M2))
Program Officer
Ryan, Laurie M
Project Start
2004-09-30
Project End
2015-08-31
Budget Start
2011-09-01
Budget End
2012-08-31
Support Year
7
Fiscal Year
2011
Total Cost
$8,143,896
Indirect Cost
Name
Northern California Institute Research & Education
Department
Type
DUNS #
613338789
City
San Francisco
State
CA
Country
United States
Zip Code
94121
Ngwa, Julius S; Fungwe, Thomas V; Ntekim, Oyonumo et al. (2018) Associations of Pulse and Blood Pressure with Hippocampal Volume by APOE and Cognitive Phenotype: The Alzheimer's Disease Neuroimaging Initiative (ADNI). Dement Geriatr Cogn Disord 45:66-78
Roostaei, Tina; Felsky, Daniel; Nazeri, Arash et al. (2018) Genetic influence of plasma homocysteine on Alzheimer's disease. Neurobiol Aging 62:243.e7-243.e14
Belathur Suresh, Mahanand; Fischl, Bruce; Salat, David H et al. (2018) Factors influencing accuracy of cortical thickness in the diagnosis of Alzheimer's disease. Hum Brain Mapp 39:1500-1515
Sexton, Corinne E; Ebbert, Mark T W; Miller, Ryan H et al. (2018) Common DNA Variants Accurately Rank an Individual of Extreme Height. Int J Genomics 2018:5121540
Lee, Catherine; Betensky, Rebecca A; Alzheimer's Disease Neuroimaging Initiative (2018) Time-to-event data with time-varying biomarkers measured only at study entry, with applications to Alzheimer's disease. Stat Med 37:914-932
Varma, Vijay R; Oommen, Anup M; Varma, Sudhir et al. (2018) Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study. PLoS Med 15:e1002482
Acosta, Diana; Powell, Fontasha; Zhao, Yize et al. (2018) Regional vulnerability in Alzheimer's disease: The role of cell-autonomous and transneuronal processes. Alzheimers Dement 14:797-810
Knešaurek, Karin; Warnock, Geoffrey; Kostakoglu, Lale et al. (2018) Comparison of Standardized Uptake Value Ratio Calculations in Amyloid Positron Emission Tomography Brain Imaging. World J Nucl Med 17:21-26
Meng, Dewen; Li, Xingfeng; Bauer, Markus et al. (2018) Altered Nucleus Basalis Connectivity Predicts Treatment Response in Mild Cognitive Impairment. Radiology 289:775-785
Cruchaga, Carlos; Del-Aguila, Jorge L; Saef, Benjamin et al. (2018) Polygenic risk score of sporadic late-onset Alzheimer's disease reveals a shared architecture with the familial and early-onset forms. Alzheimers Dement 14:205-214

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