左旋多巴
生化工程
风险分析(工程)
医学
计算机科学
重症监护医学
病理
帕金森病
工程类
疾病
作者
David Probst,Kartheek Batchu,John R. Younce,Koji Sode
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2024-07-24
卷期号:9 (8): 3828-3839
标识
DOI:10.1021/acssensors.4c00602
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI