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Advancing Alzheimer's Diagnosis: MRI-Based Predictive Modeling of Alzheimer’s Disease Molecular Subtypes

Award Number: F30AG090044
ORGANIZATION: NATIONAL INSTITUTE ON AGING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS
PERIOD OF PERFORMANCE START DATE: 09/01/2024
PERIOD OF PERFORMANCE END DATE: 08/31/2028

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Advancing Alzheimer's Diagnosis: MRI-Based Predictive Modeling of Alzheimer’s Disease Molecular Subtypes - PROJECT SUMMARY Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that impacts cognition and memory, imposing a substantial burden on the aging population. While individuals generally need to display core clinical and biological features to meet diagnostic criteria for AD, there is substantial variability among patients regarding onset and the course of the disease. This poses significant challenges to early diagnosis of AD and impedes the development of effective therapeutic strategies. Molecular subtyping of AD is of high importance due to its potential to identify disease mechanisms and new therapeutic targets. Recent studies have uncovered evidence indicating that molecular subgroups of AD display distinct disease characteristics aligning with key clinical features. The identification of distinct AD subtypes has spurred research regarding their potential to be identified using non-invasive neuroimaging techniques, which holds promise for early detection. However, progress towards this overarching goal has been impeded by studies lacking comprehensive data collected from the same individuals. The goal of this proposal is to enhance our understanding of the biological signatures that distinguish subgroups of patients with AD. We will use state-of-the-art computational approaches to jointly analyze multiple levels of data collected from the same individuals, encompassing a genetic, epigenetic, and neuroimaging information, constituting an unprecedented cohort in which to investigate AD subtypes. The proposed investigation will address the following gaps in the current scientific knowledge: 1) We will determine whether AD subtypes can be identified solely using neuroimaging-derived features. To address this question, we will use using state-of-the-art machine learning algorithms to predict molecular subtype of AD from magnetic resonance imaging (MRI)-derived phenotypes. 2) AD is a multifaceted disorder in which epigenetic regulatory mechanisms play a crucial role. However, prior studies on AD subtypes demonstrated limited or no integration of epigenetic information, thereby restricting knowledge of variability between AD subtypes. To address this critical knowledge gap, we will integrate epigenetic profiles previously associated with AD, encompassing expression levels of small non-coding RNAs (miRNAs) and DNA methylation (DNAm) markers, to determine their contribution to AD subtypes. This multi- omic approach has the potential to uncover new molecular signatures of distinct AD subgroups.


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 = $55,114 )
2026	2026	THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK	750 E ADAMS ST	SYRACUSE	NY	13210	ONONDAGA	USA	Aging Research	000	3	8/26/2026	NON-COMPETING CONTINUATION	$55,114
														Subtotal = $55,114

Issue Date FY: 2025 ( Subtotal = $54,538 )
2025	2025	RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE	750 E ADAMS ST	SYRACUSE	NY	13210	ONONDAGA	USA	Aging Research	000	2	8/1/2025	NON-COMPETING CONTINUATION	$54,538
														Subtotal = $54,538

Issue Date FY: 2024 ( Subtotal = $53,974 )
2024	2024	RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE	750 E ADAMS ST	SYRACUSE	NY	13210	ONONDAGA	USA	Aging Research	001	1	7/24/2024	NEW	$0
2024	2024	RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE	750 E ADAMS ST	SYRACUSE	NY	13210	ONONDAGA	USA	Aging Research	000	1	7/24/2024	NEW	$53,974
														Subtotal = $53,974

Grand Total All Awards = $163,626

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Advancing Alzheimer's Diagnosis: MRI-Based Predictive Modeling of Alzheimer’s Disease Molecular Subtypes

Award Number: F30AG090044

ORGANIZATION: NATIONAL INSTITUTE ON AGING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS

PERIOD OF PERFORMANCE START DATE: 09/01/2024

PERIOD OF PERFORMANCE END DATE: 08/31/2028

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