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| ID | Type | Description | Link |
|---|---|---|---|
| 1U01NS082148-01 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute of Neurological Disorders and Stroke (NINDS) | NIH |
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The primary objective of this study is to obtain detailed clinical information and biologic specimens from subjects with PD toward the ultimate end of identifying a biomarker of PD. Because of the inherent difficulties of using clinical outcome measures to assess disease modification, the identification of biomarkers of PD is of paramount importance. The ideal PD biomarker would be one that is easily assayed in a convenient biological sample, varies proportionally with disease severity, is abnormal during the pre-symptomatic phase of the illness, and is unaffected by drugs or other interventions used to treat PD. The existence of a sensitive biomarker with these properties would enable much more effective disease modifying research that would likely be able to take advantage of smaller and potentially shorter trials.
Subjects will be asked to attend study visits every 6 months for up to 5 years of follow up. Each visit will consist of patient outcomes questionnaires, neurological exams, computerized assessments of gait and balance, a video recorded motor exam, and biological specimen collection for biomarker discovery.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Previously treated PD patients | 220 subjects with PD treated and responsive to dopaminergic medication | ||
| Previously untreated PD | 20 subjects with de-novo, previously untreated PD confirmed by I-123 Ioflupane SPECT | ||
| Healthy age-matched controls | 46 age-matched healthy controls will be studied. |
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| Measure | Description | Time Frame |
|---|---|---|
| To estimate the mean rates of change and the variability around the mean of clinical outcomes in PD patients over 3-5 years of follow-up comparing these rates between PD patients of each stage of the Hoehn and Yahr. | This analysis will evaluate rates of progression in PD subjects and determine predictors of fast vs. slow progression | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| To determine the predictive value of iTUG/iSWAY test results on future course of the disease | This analysis aims to determine if automated gait or balance parameters can classify PD subjects as fast vs slow progressors, and whether gait or balance parameters can track disease progression | 5 years |
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Inclusion Criteria:
Exclusion Criteria:
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(1) de-novo, previously untreated patients within 5 years of symptom onset, n=20, and (2) patients on treatment with and clinically responsive to MAO-B inhibitors, dopamine agonists, amantadine, or levodopa (or combinations), n=220 and (3) healthy control patients without evidence of degenerative nerological disease.
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| Name | Affiliation | Role |
|---|---|---|
| Richard Dewey, MD | University of Texas Southwestern Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UT Southwestern Medical Center | Dallas | Texas | 75390 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33538517 | Derived | Sethi A, Dilwali S, McCreary M, Dewey RB Jr. Oral Levodopa Formulation Does Not Affect Progression of Parkinson Disease. Clin Neuropharmacol. 2021 Mar-Apr 01;44(2):47-52. doi: 10.1097/WNF.0000000000000437. |
| Label | URL |
|---|---|
| Parkinson's Disease Biomarker Program Official Website | View source |
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| ID | Term |
|---|---|
| D010300 | Parkinson Disease |
| ID | Term |
|---|---|
| D020734 | Parkinsonian Disorders |
| D001480 | Basal Ganglia Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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Blood specimen collection from all enrolled patients and cerebrospinal fluid (CSF) from patients who have provided additional and optional consent to CSF collection.
| D009422 | Nervous System Diseases |
| D009069 | Movement Disorders |
| D000080874 | Synucleinopathies |
| D019636 | Neurodegenerative Diseases |