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This project aims to develop a minimally invasive sensor device to monitor levodopa levels in real time. We will test the accuracy, tolerability, and safety of this device in people with Parkinson disease.
People with Parkinson disease (PD) lack the chemical dopamine, which is important for movement. Levodopa replaces dopamine and restores normal motor function in PD. Early in the disease stages, people with PD benefit significantly from levodopa. However, as PD progresses, the brain loses more dopamine-producing cells, which causes motor complications and unpredictable responses to levodopa. To maintain control of symptoms over time, levodopa doses must be increased and given at increasingly shorter intervals. The optimal levodopa regimen is different for each person and may vary from day-to-day, depending on a variety of internal and external factors including meal consumption, activity level, and other lifestyle variances. Currently, clinicians assess levodopa's benefit by the patient's testimony and by clinical exam. However, these methods may not adequately represent the severity or range of complications experienced by the PD patient. Thus, it can be difficult to determine the optimal levodopa treatment regimen, which can cause suboptimal disease management and side effects.
This project aims to develop a continuous, minimally invasive sensor (the "Levodopameter") designed to measure levodopa levels in real time from body fluids (capillary blood, sweat, and interstitial fluid), with the future goals of identifying an individualized treatment regimen for people with PD to improve disease management.
We will compare levodopa levels measured by the Levodopameter to the impractical and expensive "gold standard" high-performance liquid chromatography (HPLC) analysis of plasma levodopa levels. We will first test the device after administering oral carbidopa/levodopa in 10 participants with PD. After that portion of the study is completed and safety confirmed, we will test the device in 10 participants with PD after administering carbidopa and intravenous levodopa. We will also evaluate the device's safety and tolerability.
The long-term goal of this device is to allow PD patients to take proactive measures to assess and maintain an optimal, personalized levodopa regimen, similar to diabetes care in which diabetic patients periodically self-monitor their glucose and adjust their insulin regimen accordingly.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Levodopameter | Experimental | During the single study visit, participants will receive either: 1) one doses of oral carbidopa/ levodopa. The Levodopameter sensor device will serially measure levodopa levels from either capillary blood, sweat, or interstitial fluid and blood will be simultaneously collected from an intravenous line for high-performance liquid chromotography analysis of plasma levodopa levels. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Levodopameter | Device | There are several minimally-invasive sensors being developed that can detect levodopa levels in the capillary blood, sweat, and interstitial fluid. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Levodopa Levels | Data analysis from this first-of-its-kind microneedle levodopa monitoring device is necessarily exploratory and descriptive. We will assess the Levodopameter's feasibility and accuracy by comparing its interstitial fluid levodopa measurements to plasma levodopa levels analyzed by high-performance liquid chromatography. | through study completion, an average of 12 months |
| Measure | Description | Time Frame |
|---|---|---|
| Patient Acceptability of Levodopameter | Participants will rate acceptability of the Levodopameter using a symmetric Likert-style questionnaire ranging from 1 (strongly disagree) to 5 (strongly agree) to rate the device's comfort, ease of wear, and other qualities. Averaged acceptability ratings of 4 and higher (agree or strongly agree) would indicate the participant's agreement on the device acceptability. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Michael Skipworth | Contact | 858-246-2537 | mskipworth@health.ucsd.edu | |
| Katherine Longardner, MD | Contact | klongardner@health.ucsd.edu |
| Name | Affiliation | Role |
|---|---|---|
| Irene Litvan, MD | UCSD | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of California San DIego | Recruiting | San Diego | California | 92093 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31403773 | Background | Goud KY, Moonla C, Mishra RK, Yu C, Narayan R, Litvan I, Wang J. Wearable Electrochemical Microneedle Sensor for Continuous Monitoring of Levodopa: Toward Parkinson Management. ACS Sens. 2019 Aug 23;4(8):2196-2204. doi: 10.1021/acssensors.9b01127. Epub 2019 Aug 12. | |
| Background | Brunetti B, Valdés-RamÃrez G, Litvan I, Wang J. A disposable electrochemical biosensor for L-DOPA determination in undiluted human serum. Electrochemistry Communications 2014. p. 28-31. | ||
| 24853270 |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | Nov 23, 2021 | May 23, 2022 | ICF_001.pdf |
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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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Participants will receive oral carbidopa and levodopa and the minimally invasive experimental device will measure levodopa levels in capillary blood, sweat, and/or interstitial fluid (separate experiments and consents), which will be compared to plasma levodopa levels measured using high-performance liquid chromotography.
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| through study completion, an average of 12 months |
| Device Safety | The investigators will monitor for and categorize the adverse events related to the device using the will be classified using the current version of the Common Terminology Criteria for Adverse Events. | through study completion, an average of 12 months |
| Background |
| Bandodkar AJ, Wang J. Non-invasive wearable electrochemical sensors: a review. Trends Biotechnol. 2014 Jul;32(7):363-71. doi: 10.1016/j.tibtech.2014.04.005. Epub 2014 May 19. |
| Background | Windmiller JR, Wang J. Wearable electrochemical sensors and biosensors: a review.: Electroanalysis; 2013. p. 29-46. |
| 41031701 | Derived | Longardner K, Liu C, Momper J, Mahato K, Moonla C, Ghodsi H, Wang J, Litvan I. Acute Pharmacodynamic Effects of Oral Levodopa on Blood Pressure in Parkinson's Disease. Pharmacotherapy. 2025 Nov;45(11):721-728. doi: 10.1002/phar.70066. Epub 2025 Oct 1. |
| D009422 | Nervous System Diseases |
| D009069 | Movement Disorders |
| D000080874 | Synucleinopathies |
| D019636 | Neurodegenerative Diseases |