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Levodopa: From Biological Significance to Continuous Monitoring.
Probst, David; Batchu, Kartheek; Younce, John Robert; Sode, Koji.
Affiliation
  • Probst D; Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, North Carolina 27599, United States.
  • Batchu K; Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, North Carolina 27599, United States.
  • Younce JR; Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
  • Sode K; Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, North Carolina 27599, United States.
ACS Sens ; 9(8): 3828-3839, 2024 Aug 23.
Article in En | MEDLINE | ID: mdl-39047295
ABSTRACT
A continuous levodopa sensor can improve the quality of life for patients suffering with Parkinson's disease by enhancing levodopa titration and treatment effectiveness; however, its development is currently hindered by the absence of a specific levodopa molecular recognition element and limited insights into how real-time monitoring might affect clinical outcomes. This gap in research contributes to clinician uncertainty regarding the practical value of continuous levodopa monitoring data. This paper examines the current state of levodopa sensing and the inherent limitations in today's methods. Further, these challenges are described, including aspects such as interference from the metabolic pathway and adjunct medications, temporal resolution, and clinical questions, with a specific focus on a comprehensive selection of molecules, such as adjunct medications and structural isomers, as an interferent panel designed to assess and validate future levodopa sensors. We review insights and lessons from previously reported levodopa sensors and present a comparative analysis of potential molecular recognition elements, discussing their advantages and drawbacks.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Levodopa Limits: Humans Language: En Journal: ACS Sens / ACS sensors Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Levodopa Limits: Humans Language: En Journal: ACS Sens / ACS sensors Year: 2024 Document type: Article Affiliation country: Country of publication: