R01AG080766
Project Grant
Overview
Grant Description
Multi-cohort study of factors that influence Alzheimer's disease biomarker and dementia timing - project summary/abstract.
Advances in imaging and fluid-based biomarkers of Alzheimer's disease (AD), including amyloid (A), tau (T), and neurodegeneration (N), allow detection of underlying disease pathology decades before the onset of dementia.
Despite over a decade of AD biomarker research, the field still lacks the ability to accurately predict if and when individuals with preclinical AD (those with biomarker detectable pathology in the absence of cognitive symptoms) will experience dementia.
Identifying factors that slow or quicken this preclinical timeframe is needed to improve dementia risk prediction for preclinical AD patients and to inform optimal treatment windows for clinical trials aiming to slow or prevent cognitive decline and impairment.
Until recently, studying these factors was precluded by observing different people for short periods of time that began studies in different disease stages with no way to identify when disease began for individual participants.
Our team developed and validated new methods that provide individualized estimated amyloid onset age (EAOA) from amyloid biomarkers. EAOA can be used to rearrange biomarker and clinical observations along an AD-specific timeline (i.e., an amyloid clock) anchored to the start of preclinical AD.
This project will apply this novel approach to existing data from the Washington University Knight ADRC, the Wisconsin Alzheimer's Disease Research Center, the Wisconsin Registry for Alzheimer's Prevention, the Mayo Clinic Study of Aging, and the Alzheimer's Disease Neuroimaging Initiative to investigate factors across cohorts that influence the timing and trajectories of AD biomarkers and dementia.
This study was initiated based on our preliminary findings showing considerable differences between individuals and cohorts regarding 1) when amyloid onset occurs, 2) the time between amyloid onset and dementia onset, and 3) factors that affect AD biomarker and dementia trajectories in AD.
In addition, studies from our center and others have begun to link AD pathology, change in brain volume, and changes in cognition to social determinants of health (SDOH) like neighborhood disadvantage. However, possible links between SDOH and the timing and trajectories of AD biomarkers and dementia are not well-understood.
Our hypothesis is that observed individual and cohort differences in AD trajectories are due to a combination of demographic, environmental, sociocultural, and biologic factors, and study design and sample composition.
We will test this overall hypothesis in three specific aims: 1) identify common factors across multiple cohorts that influence the timing and trajectories of ATN biomarkers; 2) identify common factors across multiple cohorts that affect the time from amyloid onset to dementia; and 3) explore inter-cohort differences in AD biomarker and dementia trajectories.
This study will leverage existing data in several well-characterized studies to provide new insights into mechanisms that explain when preclinical AD begins and how long this preclinical phase lasts.
This is expected to improve AD dementia risk prediction for individuals and identify optimal windows for disease modifying and prevention therapies.
Advances in imaging and fluid-based biomarkers of Alzheimer's disease (AD), including amyloid (A), tau (T), and neurodegeneration (N), allow detection of underlying disease pathology decades before the onset of dementia.
Despite over a decade of AD biomarker research, the field still lacks the ability to accurately predict if and when individuals with preclinical AD (those with biomarker detectable pathology in the absence of cognitive symptoms) will experience dementia.
Identifying factors that slow or quicken this preclinical timeframe is needed to improve dementia risk prediction for preclinical AD patients and to inform optimal treatment windows for clinical trials aiming to slow or prevent cognitive decline and impairment.
Until recently, studying these factors was precluded by observing different people for short periods of time that began studies in different disease stages with no way to identify when disease began for individual participants.
Our team developed and validated new methods that provide individualized estimated amyloid onset age (EAOA) from amyloid biomarkers. EAOA can be used to rearrange biomarker and clinical observations along an AD-specific timeline (i.e., an amyloid clock) anchored to the start of preclinical AD.
This project will apply this novel approach to existing data from the Washington University Knight ADRC, the Wisconsin Alzheimer's Disease Research Center, the Wisconsin Registry for Alzheimer's Prevention, the Mayo Clinic Study of Aging, and the Alzheimer's Disease Neuroimaging Initiative to investigate factors across cohorts that influence the timing and trajectories of AD biomarkers and dementia.
This study was initiated based on our preliminary findings showing considerable differences between individuals and cohorts regarding 1) when amyloid onset occurs, 2) the time between amyloid onset and dementia onset, and 3) factors that affect AD biomarker and dementia trajectories in AD.
In addition, studies from our center and others have begun to link AD pathology, change in brain volume, and changes in cognition to social determinants of health (SDOH) like neighborhood disadvantage. However, possible links between SDOH and the timing and trajectories of AD biomarkers and dementia are not well-understood.
Our hypothesis is that observed individual and cohort differences in AD trajectories are due to a combination of demographic, environmental, sociocultural, and biologic factors, and study design and sample composition.
We will test this overall hypothesis in three specific aims: 1) identify common factors across multiple cohorts that influence the timing and trajectories of ATN biomarkers; 2) identify common factors across multiple cohorts that affect the time from amyloid onset to dementia; and 3) explore inter-cohort differences in AD biomarker and dementia trajectories.
This study will leverage existing data in several well-characterized studies to provide new insights into mechanisms that explain when preclinical AD begins and how long this preclinical phase lasts.
This is expected to improve AD dementia risk prediction for individuals and identify optimal windows for disease modifying and prevention therapies.
Awardee
Funding Goals
TO ENCOURAGE BIOMEDICAL, SOCIAL, AND BEHAVIORAL RESEARCH AND RESEARCH TRAINING DIRECTED TOWARD GREATER UNDERSTANDING OF THE AGING PROCESS AND THE DISEASES, SPECIAL PROBLEMS, AND NEEDS OF PEOPLE AS THEY AGE. THE NATIONAL INSTITUTE ON AGING HAS ESTABLISHED PROGRAMS TO PURSUE THESE GOALS. THE DIVISION OF AGING BIOLOGY EMPHASIZES UNDERSTANDING THE BASIC BIOLOGICAL PROCESSES OF AGING. THE DIVISION OF GERIATRICS AND CLINICAL GERONTOLOGY SUPPORTS RESEARCH TO IMPROVE THE ABILITIES OF HEALTH CARE PRACTITIONERS TO RESPOND TO THE DISEASES AND OTHER CLINICAL PROBLEMS OF OLDER PEOPLE. THE DIVISION OF BEHAVIORAL AND SOCIAL RESEARCH SUPPORTS RESEARCH THAT WILL LEAD TO GREATER UNDERSTANDING OF THE SOCIAL, CULTURAL, ECONOMIC AND PSYCHOLOGICAL FACTORS THAT AFFECT BOTH THE PROCESS OF GROWING OLD AND THE PLACE OF OLDER PEOPLE IN SOCIETY. THE DIVISION OF NEUROSCIENCE FOSTERS RESEARCH CONCERNED WITH THE AGE-RELATED CHANGES IN THE NERVOUS SYSTEM AS WELL AS THE RELATED SENSORY, PERCEPTUAL, AND COGNITIVE PROCESSES ASSOCIATED WITH AGING AND HAS A SPECIAL EMPHASIS ON ALZHEIMER'S DISEASE. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO EXPAND AND IMPROVE THE SBIR PROGRAM, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE AND FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Madison,
Wisconsin
53715
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 298% from $770,422 to $3,066,721.
University Of Wisconsin System was awarded
Alzheimer's Disease Biomarker Timing Study: Factors Influencing Dementia Onset
Project Grant R01AG080766
worth $3,066,721
from National Institute on Aging in February 2023 with work to be completed primarily in Madison Wisconsin United States.
The grant
has a duration of 4 years 9 months and
was awarded through assistance program 93.866 Aging Research.
The Project Grant was awarded through grant opportunity Research on Current Topics in Alzheimer's Disease and Its Related Dementias (R01 Clinical Trial Optional).
Status
(Ongoing)
Last Modified 3/5/26
Period of Performance
2/1/23
Start Date
11/30/27
End Date
Funding Split
$3.1M
Federal Obligation
$0.0
Non-Federal Obligation
$3.1M
Total Obligated
Activity Timeline
Transaction History
Modifications to R01AG080766
Additional Detail
Award ID FAIN
R01AG080766
SAI Number
R01AG080766-2910017020
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NN00 NIH National Insitute on Aging
Funding Office
75NN00 NIH National Insitute on Aging
Awardee UEI
LCLSJAGTNZQ7
Awardee CAGE
09FZ2
Performance District
WI-02
Senators
Tammy Baldwin
Ron Johnson
Ron Johnson
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute on Aging, National Institutes of Health, Health and Human Services (075-0843) | Health research and training | Grants, subsidies, and contributions (41.0) | $770,422 | 100% |
Modified: 3/5/26