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Levodopa: From Biological Significance to Continuous Monitoring
ACS Sensors ( IF 8.2 ) Pub Date : 2024-07-24 , DOI: 10.1021/acssensors.4c00602
David Probst 1 , Kartheek Batchu 1 , John Robert Younce 2 , Koji Sode 1
Affiliation  

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.

中文翻译:


左旋多巴:从生物学意义到持续监测



连续的左旋多巴传感器可以通过提高左旋多巴滴定和治疗效果来改善帕金森病患者的生活质量;然而,由于缺乏特定的左旋多巴分子识别元件以及对实时监测如何影响临床结果的了解有限,目前其开发受到阻碍。这种研究差距导致临床医生对连续左旋多巴监测数据的实际价值存在不确定性。本文研究了左旋多巴传感的现状和当今方法的固有局限性。此外,还描述了这些挑战,包括代谢途径和辅助药物的干扰、时间分辨率和临床问题等方面,特别关注分子的全面选择,例如辅助药物和结构异构体,作为干扰面板旨在评估和验证未来的左旋多巴传感器。我们回顾了以前报道的左旋多巴传感器的见解和经验教训,并对潜在的分子识别元件进行了比较分析,讨论了它们的优缺点。
更新日期:2024-07-24
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