Huntington's disease (HD) is a devastating and invariably fatal progressive neurodegenerative disease characterized by atrophy and loss of selective neurons, axonal degeneration, and reactive gliosis, causing motor, cognitive, and psychiatric disorders. Currently, no curative treatment exists for this disease. A major obstacle for the development of HD therapeutics is the lack of sensitive and specific biomarkers that can quantitatively measure early brain changes, limiting real-time interpretation in HD clinical trials. The long-term goal of this study is to develop sensitive and specific noninvasive biomarkers that can accurately and quantitatively reflect disease progression and measure the effectiveness of new therapeutic interventions for HD to facilitate clinical trials. The objective of this proposal is to establish diffusion basis spectrum imaging (DBSI) metrics as new biomarkers for HD in mouse models through cross-correlation of longitudinal and cross- sectional DBSI analyses with histological, neurological, and functional assessments. DBSI is a novel diffusion magnetic resonance imaging (MRI)-based methodology recently developed by our group and substantially improves on the limitations of current MR-based imaging. Through multiple-tensor modeling of diffusion- weighted MRI signals, DBSI can differentiate and quantitatively assess coexisting multiple pathologies?axonal degeneration, myelin deficits, and neuroinflammation-associated changes in cellularity?with high sensitivity and specificity. Based on the capabilities of DBSI, we hypothesize that pathologies in premanifest and manifest HD mice can be accurately assessed by DBSI and that DBSI-defined abnormalities correlate with neurological and functional impairment in HD mice. This hypothesis will be tested by 1) identifying the progressive, DBSI- defined microstructural changes in HD mouse brains longitudinally and 2) determining the relationship among DBSI pathological metrics, HD brain pathology, and neurological impairment in HD mice through cross- sectional analysis. In addition, the relationship between DBSI pathological metrics and white matter function will be determined using a new diffusion-based functional MRI technique. These innovative experiments will establish new noninvasive, quantitative biomarkers of progressive neuropathology, white matter function, and neurological impairment in HD as well as provide important insights into the pathological mechanisms underlying neurological phenotypes in HD in vivo. The impact will be significant because our approach represents a substantial departure from current biomarker work in this disease, with the potential to provide substantial benefit in future clinical trials.

Public Health Relevance

Huntington's disease (HD) is a devastating progressive neurodegenerative disease with no cure to date. There is an urgent need to develop reliable noninvasive biomarkers that can accurately determine disease progression and therapeutic response in HD clinical trials. Using mouse disease models, we propose to establish new magnetic resonance imaging (MRI)-based imaging biomarkers that are sensitive and specific for specific microscopic pathological events in HD brain. The findings from this study will substantially improve our ability to assess the efficacy of therapeutic interventions in preclinical and subsequently clinical studies in HD and hold potential utility for other neurodegenerative diseases which feature shared histopathological events.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21NS103509-01A1
Application #
9616633
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Miller, Daniel L
Project Start
2018-07-01
Project End
2020-06-30
Budget Start
2018-07-01
Budget End
2019-06-30
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Washington University
Department
Neurosurgery
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130