There is a well-established association between small vessel disease (SVD, microangiopathy) and Alzheimer's disease (AD). The underlying mechanisms for associations between small vessels and the AD cascade remain unclear. Some of the association between SVD and AD is due to the cumulative cognitive burden from independent pathologies (AD and SVD) leading to early manifestation of the clinical syndrome of AD. It is becomingly recognized that another way in which SVD and AD are related is through bi-directional interaction at molecular and cellular levels: e.g., inflammatory factors associated with A? plaques contribute to SVD. Furthermore, an emerging hypothesis is that decreased pulsatility of small arterioles decreases cerebral spinal fluid (CSF) clearance of amyloid, putting someone at risk of AD. A better understanding of the underlying mechanisms relating SVD and AD is especially important as it can identify prevention and treatment targets. This proposed transdisciplinary (Multi-PI) proposal aims to develop advanced MRI methods (hardware, acquisition, and analysis) with 7T human imaging and study the pathways linking small vessel and CSF flow pathophysiology to AD. It will be achieved through a consortium consisting of expertise at 1) U. of Pittsburgh - MRI acquisition and analysis-, and AD; 2) FDA -RF-heating matters in relation guidelines-; 3) U. of Minnesota - MRI acquisition-; 4) Quality Electrodynamics Inc. (QED) -integration of patient friendly hardware-; and Montreal Neurological Institute -MRI analysis-. We will examine small vessel morphology, cerebrovascular reactivity (CVR), and CSF flow, all of which are inter-related components in AD pathophysiology. For instance, small vessel lesions (in part due to amyloid angiopathy) may disrupt CVR, and consequently interfere with A? clearance. The study is designed as a prospective observational study of older adults without dementia: 30 amyloid positive, and 30 amyloid negative (n = 60). We will leverage two ongoing studies (RF1AG025516 & R01AG052446) of AD pathology for recruitment, clinical characterization and PET imaging. Individuals are scanned at baseline (Aim 1) using current state of the art technology. Throughout we will work on MRI development (Aim 2). At 2-year follow up individuals will be scanned again with the same protocol as at baseline, and will also undergo scanning with the newly developed technology (Aim 3). In summary, this study develops, applies and validates advanced imaging of small vessel morphology, CVR, and CSF flow and other traditional MRI biomarkers to characterize pre-clinical AD, and potentially identify targets for prevention and/or treatment. The proposal takes advantage of recent and proposed advances in a timely and recently FDA-approved technology (7T human MRI) and collaborations between: a) scientists, engineers, and clinicians; b) leading 7T human MRI centers and a coil company; and c) a governmental regulatory agency.

Public Health Relevance

The overall objective of this proposal is to further enhance our understanding of small vessel disease (SVD) and its relation to pre-clinical Alzheimer's disease (AD). This study develops, applies and validates advanced imaging of MRI biomarkers to characterize pre-clinical AD, and potentially identify targets for prevention and/or treatment. The proposal takes advantage of recent and proposed advances in a timely and recently FDA- approved technology (7T human MRI) and collaborations between: a) scientists, engineers, and clinicians; b) leading 7T human MRI centers and a coil company; and c) a governmental regulatory agency.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG063525-03
Application #
10111445
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Mackiewicz, Miroslaw
Project Start
2019-04-15
Project End
2024-01-31
Budget Start
2021-02-01
Budget End
2022-01-31
Support Year
3
Fiscal Year
2021
Total Cost
Indirect Cost
Name
University of Pittsburgh
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213