Parkinson Disease (PD) causes progressive motor and non-motor deficits with 75% of patients developing dementia after 10 years. A growing body of evidence suggests the involvement of amyloid beta (A?) in the cortical pathology of PD that has been linked to accumulation of ?-synuclein and neurodegeneration. Yet, how regional A? accumulation relates to decline in specific cognitive domains and to deficits in regional neuromodulatory transmitter systems remains unknown. This study will test the hypotheses that 1) A? measurements made by Pittsburgh Compound B (PiB) correlate to postmortem proteinopathy. 2) deficits in selected cognitive domains (executive function, attention, visuospatial ability, and memory scores) will correlate regionally to PiB and postmortem measures of tau, A?, and ?-syn proteinopathy; 2) PiB imaging and cognitive deficits will correspond to regional neurochemical changes in postmortem tissue; and 3) accumulated A? predicts deterioration in specific cognitive domains and the time to dementia. To test these questions, I will use a large, previously-recruited cohort of 287 participants with PD and controls that have undergone baseline PET imaging scans of PiB and ongoing longitudinal (baseline and 3-year follow-up) comprehensive cognitive testing. Cross-sectional analyses of PiB uptake and selected cognitive deficits will be assessed using appropriate statistical techniques with a data-drive, whole-brain, parameterized voxel-based approach to identify regions associated with PD-driven cognitive impairment. Neurochemical and pathophysiological analyses will be conducted on postmortem tissue from the 47 deceased participants with pathologically confirmed PD who had PET PiB scans in life to determine the relationship between PiB uptake and post- mortem deposition of A? and ?-synuclein. Correlations between PiB uptake in life and changes in regional distribution of pathological protein aggregates and behaviorally-relevant neuromodulators (dopamine, serotonin, norepinephrine, and acetylcholine) will then be compared in regions associated with cognitive impairment. Whether PiB uptake can predict decline in specific cognitive domains or time to onset of dementia will be determined using baseline PiB imaging and longitudinal cognitive data. This study and my mentorship team will provide training relating to neuroimaging, neurochemistry, and behavioral manifestations of PD and analytical approaches to integrating questions of transmitter activity and cognitive output. This training will provide the basis for moving forward toward a career as an independent investigator through formal and informal professional development and laboratory management training. This study will help elucidate the relationship between cognitive dysfunction in PD and regional pathology, identifying new targets for treatment in PD. Findings from this study will inform the development of PET tracers and help identify deficits related to specific behavioral symptoms including depression, apathy, executive dysfunction, or visuospatial dysfunction.

Public Health Relevance

This study will investigate the relationship between Amyloid-? (A?) proteinopathy and the progression of neurochemical abnormalities and cognitive deficits in Parkinson Disease (PD). Using positron emission tomography scans of A? obtained in life and regional measures of proteinopathy and neurotransmitter system dysfunction in postmortem brains, we will ask whether specific regional pathologies underlie cognitive deficits in selected domains and whether baseline measures of A? predict future cognitive decline and dementia. These investigations will help identify regional biomarkers for the progression of PD, enhance understanding of the mechanisms underlying cognitive decline in PD and provide targets for the development of therapies to slow disease progression.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
1F32NS105365-01A1
Application #
9612183
Study Section
Neurological Sciences Training Initial Review Group (NST)
Program Officer
Babcock, Debra J
Project Start
2018-08-01
Project End
2021-07-31
Budget Start
2018-08-01
Budget End
2019-07-31
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Washington University
Department
Neurology
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130