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Integration of Socio-Spatial Data for Neighborhoods with Multi-omic profiles to Identify and Mitigate Factors Affecting Risk of ALzheimer's Disease

Award Number: DP1AG069870
ORGANIZATION: NATIONAL INSTITUTE ON AGING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/30/2020
PERIOD OF PERFORMANCE END DATE: 08/31/2026

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Integration of Socio-Spatial Data for Neighborhoods with Multi-omic profiles to Identify and Mitigate Factors Affecting Risk of ALzheimer's Disease - Alzheimer’s disease (AD) affects a higher proportion of Hispanics - the fastest growing group of older adults in the U.S. - than Caucasians, and at younger ages. The causes of these differences are unknown, partly due to underrepresentation of Hispanics in AD research. Uncovering the reasons for this disparity may provide insight into the causes of AD and help to develop solutions and is this project's goal. Robust findings have linked the social and physical characteristics of neighborhoods to cognitive health, and the neighborhood - el barrio - is known to be important to Hispanic populations. However, identifying specific contextual and individual factors that affect risk of AD is a complex problem. This project aims to determine the effects of neighborhood factors on AD-like cognitive trajectories in Hispanic Americans, by a novel approach that integrates 1) individual differences revealed by high-dimensional multi-omics (genetic and metabolic molecular markers) and 2) mediation/moderation by family and neighborhood dynamics. Our access to a Mexican American cohort - the San Antonio Mexican American Family Study (SAFS) - will enable us to test if variations in AD-like cognitive trajectories across neighborhoods are explained exclusively by individual characteristics, or depend at least partly on social and physical elements of neighborhoods. SAFS participants have been deeply characterized for almost 30 years, including clinical (cardiometabolic and cognitive trajectories), structural neuroimaging, and environmental data; whole-genome sequencing (WGS), and other -omics (e.g., metabolic profiles, epigenomics, protein and RNA expression patterns). The specific aims of this project are to 1) determine if familism provides protection from AD-like cognitive decline compared to non-AD like cognitive decline in Mexican Americans; 2) analyze the associations between social and built environments of different neighborhoods and AD-like cognitive trajectories, by using online street imagery analysis of 17 neighborhoods within each of which at least 30 SAFS participants reside; 3) detect environmental (social and spatial) signals at neighborhood and family levels, reflected in any high-dimensional metabolomic/lipidomic, epigenomic, and transcriptomic biomarkers we find correlated with risk of AD-like cognitive decline; and 4) exploit the results to provide guidance for neighborhood-based projects aimed at decreasing the risk of AD-like cognitive decline, by developing a strategic communication toolkit, and convening a forum that will engage diverse stakeholders, particularly neighborhood designers and city planners. Overall, the results will elucidate pathways through which neighborhood-specific factors contribute to AD-like cognitive decline in Hispanics, offering new approaches to mitigation of AD.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = -$821,231 )
2026	2024	THE UNIVERSITY OF TEXAS RIO GRANDE VALLEY	1201 W UNIVERSITY DR	EDINBURG	TX	78539	HIDALGO	USA	Aging Research	000	2	10/1/2025	EXTENSION WITH OR WITHOUT FUNDS	-$821,231
														Subtotal = -$821,231

Issue Date FY: 2025 ( Subtotal = $0 )
2025	2024	THE UNIVERSITY OF TEXAS RIO GRANDE VALLEY	1201 W UNIVERSITY DR	EDINBURG	TX	78539	HIDALGO	USA	Aging Research	001	2	4/7/2025	EXTENSION WITH OR WITHOUT FUNDS	$1,208,453
2025	2020	THE UNIVERSITY OF TEXAS RIO GRANDE VALLEY	1201 W UNIVERSITY DR	EDINBURG	TX	78539	HIDALGO	USA	Aging Research	000	1	4/7/2025	NEW	-$1,208,453
														Subtotal = $0

Issue Date FY: 2024 ( Subtotal = $713,396 )
2024	2024	THE UNIVERSITY OF TEXAS RIO GRANDE VALLEY	1201 W UNIVERSITY DR	EDINBURG	TX	78539	HIDALGO	USA	Aging Research	000	2	8/14/2024	EXTENSION WITH OR WITHOUT FUNDS	$713,396
														Subtotal = $713,396

Issue Date FY: 2022 ( Subtotal = $0 )
2022	2020	UNIVERSITY OF TEXAS RIO GRANDE VALLEY, THE	1201 WEST UNIVERSITY DR	EDINBURG	TX	78539	HIDALGO	USA	Aging Research	000	1	11/24/2021	NEW	$0
														Subtotal = $0

Issue Date FY: 2021 ( Subtotal = $0 )
2021	2020	UNIVERSITY OF TEXAS RIO GRANDE VALLEY, THE	1201 WEST UNIVERSITY DR	EDINBURG	TX	78539	HIDALGO	USA	Aging Research	000	1	2/17/2021	NEW	$0
														Subtotal = $0

Issue Date FY: 2020 ( Subtotal = $2,906,000 )
2020	2020	UNIVERSITY OF TEXAS RIO GRANDE VALLEY, THE	1201 WEST UNIVERSITY DR	EDINBURG	TX	78539	HIDALGO	USA	Aging Research	000	1	9/15/2020	NEW	$2,906,000
														Subtotal = $2,906,000

Grand Total All Awards = $2,798,165

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Integration of Socio-Spatial Data for Neighborhoods with Multi-omic profiles to Identify and Mitigate Factors Affecting Risk of ALzheimer's Disease

Award Number: DP1AG069870

ORGANIZATION: NATIONAL INSTITUTE ON AGING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/30/2020

PERIOD OF PERFORMANCE END DATE: 08/31/2026

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