U19AG065169
Cooperative Agreement
Overview
Grant Description
Precision Aging Network: Closing the Gap Between Cognitive Healthspan and Human Lifespan - Summary/Abstract:
Overall Project
The strategic vision of the Precision Aging Network (PAN) is to develop the essential scientific knowledge to understand the discrepancy that currently exists between cognitive healthspan and human lifespan. We must reveal the neural mechanisms that account for optimal brain performance in old age resulting in healthy cognitive function, and those that underlie decline in brain function leading to age-related cognitive impairment (ARCI), Alzheimer's disease (AD), or Alzheimer's disease-related dementias (ADRD).
The ultimate goal of the PAN is to develop not only a strong scientific foundation for the essential knowledge needed to match cognitive healthspan with human lifespan but also to leverage big data approaches that apply precision medicine concepts to prolong optimal brain function. To achieve this goal of sustaining optimal cognitive function in old age and to extend the quality of life for people across levels of risk for ARCI, AD, or ADRD, we maintain that methodologies such as those developed and implemented in the PAN will be required.
Although 'chronological age' is consistently associated with increasing incidence of disability, including chronic brain disorders such as AD and ADRD, the exact mechanistic relationships between 'biological age' and decline in brain function are not known. The number of people now living with some form of dementia is estimated to be 50 million worldwide, which is expected to double every 20 years. Because of the enormous heterogeneity in brain and cognitive function among individuals in their 70s, 80s, and 90s, the urgent challenge for science, medicine, and healthcare providers is to discover interventions that are individually effective in delaying or preventing ARCI, AD, or ADRD.
Untangling the complex relationship between age and cognitive performance requires a strategy that includes the study of very large, diverse, well-characterized, and longitudinally sampled populations. This will require 'big data' but also the means to translate the massive amounts of information gathered into 'smart data' or 'knowledge'. This demands radically different conceptual models. Currently, no single approach adequately identifies the means to modify personal aging trajectories for improved brain health in individuals. The approach proposed in PAN is designed to overcome obstacles of earlier methods. The focus is on how to distinguish the various combinations of age, sex, genetics, race-ethnicity, health, lifestyle choices, and environmental factors that influence brain drivers that increase susceptibility to dysfunction, as well as those factors that increase brain protection and resistance against dysfunction.
The fundamental principle of the precision medicine approach is to 'individualize'. This will enable strong and specific predictions for each person to close the gap between cognitive healthspan and human lifespan. The root of this concept is in the teachings of Hippocrates, who said, "It is more important to know what sort of person has a disease than to know what sort of disease a person has."
Overall Project
The strategic vision of the Precision Aging Network (PAN) is to develop the essential scientific knowledge to understand the discrepancy that currently exists between cognitive healthspan and human lifespan. We must reveal the neural mechanisms that account for optimal brain performance in old age resulting in healthy cognitive function, and those that underlie decline in brain function leading to age-related cognitive impairment (ARCI), Alzheimer's disease (AD), or Alzheimer's disease-related dementias (ADRD).
The ultimate goal of the PAN is to develop not only a strong scientific foundation for the essential knowledge needed to match cognitive healthspan with human lifespan but also to leverage big data approaches that apply precision medicine concepts to prolong optimal brain function. To achieve this goal of sustaining optimal cognitive function in old age and to extend the quality of life for people across levels of risk for ARCI, AD, or ADRD, we maintain that methodologies such as those developed and implemented in the PAN will be required.
Although 'chronological age' is consistently associated with increasing incidence of disability, including chronic brain disorders such as AD and ADRD, the exact mechanistic relationships between 'biological age' and decline in brain function are not known. The number of people now living with some form of dementia is estimated to be 50 million worldwide, which is expected to double every 20 years. Because of the enormous heterogeneity in brain and cognitive function among individuals in their 70s, 80s, and 90s, the urgent challenge for science, medicine, and healthcare providers is to discover interventions that are individually effective in delaying or preventing ARCI, AD, or ADRD.
Untangling the complex relationship between age and cognitive performance requires a strategy that includes the study of very large, diverse, well-characterized, and longitudinally sampled populations. This will require 'big data' but also the means to translate the massive amounts of information gathered into 'smart data' or 'knowledge'. This demands radically different conceptual models. Currently, no single approach adequately identifies the means to modify personal aging trajectories for improved brain health in individuals. The approach proposed in PAN is designed to overcome obstacles of earlier methods. The focus is on how to distinguish the various combinations of age, sex, genetics, race-ethnicity, health, lifestyle choices, and environmental factors that influence brain drivers that increase susceptibility to dysfunction, as well as those factors that increase brain protection and resistance against dysfunction.
The fundamental principle of the precision medicine approach is to 'individualize'. This will enable strong and specific predictions for each person to close the gap between cognitive healthspan and human lifespan. The root of this concept is in the teachings of Hippocrates, who said, "It is more important to know what sort of person has a disease than to know what sort of disease a person has."
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
Arizona
United States
Geographic Scope
State-Wide
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 379% from $12,472,457 to $59,754,489.
University Of Arizona was awarded
Precision Aging Network: Closing Cognitive Healthspan-Human Lifespan Gap.
Cooperative Agreement U19AG065169
worth $59,754,489
from National Institute on Aging in September 2021 with work to be completed primarily in Arizona United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.866 Aging Research.
The Cooperative Agreement was awarded through grant opportunity Complex Integrated Multi-Component Projects in Aging Research (U19 Clinical Trial Optional).
Status
(Ongoing)
Last Modified 8/20/25
Period of Performance
9/30/21
Start Date
8/31/26
End Date
Funding Split
$59.8M
Federal Obligation
$0.0
Non-Federal Obligation
$59.8M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for U19AG065169
Transaction History
Modifications to U19AG065169
Additional Detail
Award ID FAIN
U19AG065169
SAI Number
U19AG065169-92044285
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
ED44Y3W6P7B9
Awardee CAGE
0LJH3
Performance District
AZ-90
Senators
Kyrsten Sinema
Mark Kelly
Mark Kelly
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) | $23,704,381 | 100% |
Modified: 8/20/25