We are seeking to improve the diagnosis and treatment of patients with Parkinson disease (PD). Five years of support will allow us to characterize a cohort of patients throughout the PD disease spectrum and matched healthy controls in a systematic and generalizable manner, and then obtain their blood and cerebrospinal fluid (CSF) to identify biomarkers. We will assess whether specific posttranslational modifications to c-Abl, a-synuclein, parkin and parkin substrates (AIMP2, FBP-1 and PARIS) are potential biomarkers. Our clinical and cognitive testing and our biofluid ascertainment methods will follow guidelines from the RFA-NS-1211, the Michael J. Fox Parkinson's Progression Markers Initiative (PPMI), and the consensus opinion of the Udall Centers regarding cognitive testing. The clinical characterization will include extensive motor testing as well as assessments of many of the non-motor facets of PD, including cognition, sleep, and smell. Many of our study participants will have agreed to autopsy through their participation in the Johns Hopkins Medicine Morris K. Udall Center of Parkinson Disease Research of Excellence, allowing for confirmation of their clinical diagnosis and further investigation of the biomarkers that we identify. The blood will be obtained every 6 months at the time of clinical characterization and the CSF will be obtained yearly. Success of the clinical characterization will allow for a cohort of well-characterized individuals with blood and CSF that others and we may correlate with markers in their blood and CSF. Multiple reaction monitoring mass spectrometric assays using a Perfinity workstation inline to a Thermo Vantage triple quadrupole mass spectrometer with on-column trypsin digestion will be used to identify specific posttranslational modifications (PTMs) to proteins integral to PD pathogenesis to differentiate individuals with PD from healthy controls and if these PTMs and proteins integral to PD follow the clinical progression of PD. Success of the biomarker testing will determine if these peptides are diagnostic or progression markers for PD.

Public Health Relevance

Parkinson disease is a clinical diagnosis and treatments do not change disease progression and are associated with unacceptable side effects. There are currently no diagnostic markers of disease or markers of progression of Parkinson disease. By identifying diagnostic or progression markers for PD we will have the potential to improve the function, health, and mortality of individuals with PD.

National Institute of Health (NIH)
National Institute of Neurological Disorders and Stroke (NINDS)
Research Project--Cooperative Agreements (U01)
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Special Emphasis Panel (ZNS1-SRB-J (02))
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Sutherland, Margaret L
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Johns Hopkins University
Schools of Medicine
United States
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Mata, Ignacio F; Leverenz, James B; Weintraub, Daniel et al. (2016) GBA Variants are associated with a distinct pattern of cognitive deficits in Parkinson's disease. Mov Disord 31:95-102
Rosenthal, Liana S; Drake, Daniel; Alcalay, Roy N et al. (2016) The NINDS Parkinson's disease biomarkers program. Mov Disord 31:915-23
Davis, Marie Y; Johnson, Catherine O; Leverenz, James B et al. (2016) Association of GBA Mutations and the E326K Polymorphism With Motor and Cognitive Progression in Parkinson Disease. JAMA Neurol 73:1217-1224
Mills, Kelly A; Mari, Zoltan; Pontone, Gregory M et al. (2016) Cognitive impairment in Parkinson's disease: Association between patient-reported and clinically measured outcomes. Parkinsonism Relat Disord 33:107-114
Geiger, Joshua T; Ding, Jinhui; Crain, Barbara et al. (2016) Next-generation sequencing reveals substantial genetic contribution to dementia with Lewy bodies. Neurobiol Dis 94:55-62
Mills, Kelly A; Mari, Zoltan; Bakker, Catherine et al. (2016) Gait function and locus coeruleus Lewy body pathology in 51 Parkinson's disease patients. Parkinsonism Relat Disord 33:102-106
Nalls, Mike A; McLean, Cory Y; Rick, Jacqueline et al. (2015) Diagnosis of Parkinson's disease on the basis of clinical and genetic classification: a population-based modelling study. Lancet Neurol 14:1002-9
Srivatsal, Sindhu; Cholerton, Brenna; Leverenz, James B et al. (2015) Cognitive profile of LRRK2-related Parkinson's disease. Mov Disord 30:728-33
Dawson, Ted M; Dawson, Valina L (2014) Parkin plays a role in sporadic Parkinson's disease. Neurodegener Dis 13:69-71