Alzheimer's disease (AD) is a leading cause of adult disability and the most common cause of dementia in the United States. Although tremendous efforts have focused on understanding AD, no cure has been found. Current therapies that target the central nervous system show limited efficacy. Emerging evidence suggests a synergistic effect between AD pathology and the coexisting dysfunction in cerebral metabolism. However, it is still uncertain whether the metabolic dysfunction is an underlying cause or merely a consequence of disease. Answering this question may shed light on new and hopefully more effective therapies that target disrupted metabolic pathways in AD. Examining the causality between metabolic dysfunction and AD pathology requires a technique capable of spatiotemporally imaging both cerebral metabolism and the deposition of amyloid plaques-a key pathological hallmark of AD. Positron emission tomography (PET) can carry out this task in the clinic; however, the initial stage of plaque deposition is largely asymptomatic and thus difficult to capture in patients. Mouse models that recapitulate AD pathology through established genetic alterations are ideally suited for this mechanistic study, because they have documented timelines of plaque development. Moreover, focal ischemia in mouse AD models can trigger rapid seeding of amyloid plaques in the ischemic cortex, in contrast to the spontaneous seeding on the contralateral side. This paradigm offers a unique opportunity to study the relationship between metabolism dysfunction and AD pathology in both induced and spontaneous plaque development in the same mouse. Although exciting, imaging the appearance of individual plaques and the disruption of local cerebral metabolism in mice requires high spatial resolution far beyond that of PET. Photoacoustic microscopy (PAM) holds great potential to meet this technical demand. In the proposed research, a novel dichroism contrast will be developed to enable high-contrast PAM of individual amyloid plaques through the intact mouse skull. In parallel, a new methodology will be established to derive total concentration of hemoglobin, oxygen saturation of hemoglobin, oxygen extraction fraction, and cerebral blood flow at the tissue level in the AD mouse brain. With the four tissue- level measurements, the cerebral metabolic rate of oxygen-a gold-standard metabolic index-can be computed at the microscopic level. Integrating the amyloid and metabolic contrasts into an unprecedented PAM platform will ultimately enable us to image AD pathology and metabolic dysfunction at the same spatiotemporal scale. The co-evolution of CMRO2 and amyloid aggregation acquired by PAM in the mouse AD-ischemia model would otherwise be impossible to obtain with agglomerated observations from a collection of different imaging techniques operating at different spatiotemporal scales. This technical innovation will open a new avenue for mechanistic studies of the disrupted metabolic pathways in AD, which may lead to novel and promising therapies.

Public Health Relevance

It is a grand challenge but worth our every effort to find a cure for Alzheimer's disease, the leading cause of dementia in the United States. Understanding the pathogenic role of metabolic dysfunction in mouse models of Alzheimer's disease may shed light on new and more effective therapies. The proposed research aims to enable this mechanistic study by developing multi-contrast photoacoustic microscopy for simultaneous monitoring of the progression of Alzheimer's disease and the co-evolving dysfunction in brain metabolism.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21AG052062-01
Application #
9019455
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Hsiao, John
Project Start
2016-04-15
Project End
2018-03-31
Budget Start
2016-04-15
Budget End
2017-03-31
Support Year
1
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Virginia
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
065391526
City
Charlottesville
State
VA
Country
United States
Zip Code
22904
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Govinahallisathyanarayana, Sushanth; Ning, Bo; Cao, Rui et al. (2018) Dictionary learning-based reverberation removal enables depth-resolved photoacoustic microscopy of cortical microvasculature in the mouse brain. Sci Rep 8:985
Cao, Rui; Li, Jun; Ning, Bo et al. (2017) Functional and oxygen-metabolic photoacoustic microscopy of the awake mouse brain. Neuroimage 150:77-87
Wang, Tianxiong; Sun, Naidi; Cao, Rui et al. (2016) Multiparametric photoacoustic microscopy of the mouse brain with 300-kHz A-line rate. Neurophotonics 3:045006