Parkinson's disease (PD), the most common movement disorder afflicting millions of Americans, is diagnosed when patients present with cardinal parkinsonian signs, e.g. bradykinesia, rigidity, and tremor, and show favorable response to levodopa (L-DOPA) or dopamine (DA) agonists. However, even at clinical """"""""early"""""""" stage of the disease, PD patients have already lost more than 60-70% of their DA neurons in the nigrostriatal system. Thus, the nature course of this disease makes it very challenging for any neuroprotective medicine to be effective, simply because there are not many neurons to be protected to begin with in PD patients when the diagnosis can be made clinically. While current functional neuroimaging methods with fluorodopa positron-emission tomography (F-Dopa-PET) or beta-CIT single photon emission computer tomography (Beta-CIT-SPECT) show relatively high sensitivity and specificity in assessing nigrostriatal function even before PD patients become symptomatic, they are very expansive, meaning that they are not currently appropriate for routine diagnostic screening. In addition, these methods are not widely accessible, particularly in developing countries, and do not elucidate biological mechanisms of PD progression. We hypothesize that there are unique protein markers for PD, including preclinical PD, in brain tissue, and some of which will be reflected in the human cerebrospinal fluid (CSF). Hence, we are proposing to use a high throughput proteomic approach to identify proteins unique to preclinical PD and PD progression in two models simultaneously, i.e. a nonhuman primate treated with MPTP and familial PD patients secondary to LRRK2 mutations. This is followed by validation of candidate markers in human CSF of in a different but larger set of both sporadic and familial PD patients, including those at preclinical stage as determined by PET imaging. When completed, we anticipate having a panel of makers in CSF that could serve as the basis of a highly sensitive and specific microsphere-based Luminex xMAP assay to diagnose preclinical PD and to monitor PD progression at early stages.

Public Health Relevance

This proposal is designated to investigate biomarkers that can detect patients with Parkinson's disease before clinical presentation. This proposal, if successful, can significantly increase the therapeutic window for Parkinson's patients.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS057567-02
Application #
7647294
Study Section
Special Emphasis Panel (ZRG1-BDCN-Y (06))
Program Officer
Sutherland, Margaret L
Project Start
2008-07-01
Project End
2013-05-31
Budget Start
2009-06-01
Budget End
2010-05-31
Support Year
2
Fiscal Year
2009
Total Cost
$638,073
Indirect Cost
Name
University of Washington
Department
Pathology
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
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Wile, Daryl J; Agarwal, Pankaj A; Schulzer, Michael et al. (2017) Serotonin and dopamine transporter PET changes in the premotor phase of LRRK2 parkinsonism: cross-sectional studies. Lancet Neurol 16:351-359
Koga, Shunsuke; Sanchez-Contreras, Monica; Josephs, Keith A et al. (2017) Distribution and characteristics of transactive response DNA binding protein 43 kDa pathology in progressive supranuclear palsy. Mov Disord 32:246-255
Wang, Lisa; Heckman, Michael G; Aasly, Jan O et al. (2017) Evaluation of the interaction between LRRK2 and PARK16 loci in determining risk of Parkinson's disease: analysis of a large multicenter study. Neurobiol Aging 49:217.e1-217.e4
Shi, Min; Kovac, Andrej; Korff, Ane et al. (2016) CNS tau efflux via exosomes is likely increased in Parkinson's disease but not in Alzheimer's disease. Alzheimers Dement 12:1125-1131
Koga, Shunsuke; Josephs, Keith A; Ogaki, Kotaro et al. (2016) Cerebellar ataxia in progressive supranuclear palsy: An autopsy study of PSP-C. Mov Disord 31:653-62
Atik, Anzari; Stewart, Tessandra; Zhang, Jing (2016) Alpha-Synuclein as a Biomarker for Parkinson's Disease. Brain Pathol 26:410-8
Liu, Changqin; Cholerton, Brenna; Shi, Min et al. (2015) CSF tau and tau/A?42 predict cognitive decline in Parkinson's disease. Parkinsonism Relat Disord 21:271-6
Shi, Min; Movius, James; Dator, Romel et al. (2015) Cerebrospinal fluid peptides as potential Parkinson disease biomarkers: a staged pipeline for discovery and validation. Mol Cell Proteomics 14:544-55

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