药代动力学
体内
左旋多巴
药理学
生物医学工程
医学
间质液
卡比多巴
材料科学
化学
加药
帕金森病
持续监测
基于生理学的药代动力学模型
生物利用度
采样(信号处理)
作者
Yue Zhou,Junhao Li,Zhongyi Xu,Yixin Zhao,Shanshan Zhang,Tong Liu,Yelan Yao,Fang Lü,Yu Cai,Xuesong Ye,Bo Liang
标识
DOI:10.1038/s41467-025-65853-2
摘要
Real-time in vivo monitoring of levodopa pharmacokinetics is essential to address its narrow therapeutic window in Parkinson’s disease (PD) therapy. However, current methods require excessive sample volumes, suffer low sampling frequencies, and fail to capture complete pharmacokinetic profiles. Here, we present an in vivo monitoring system for real-time tracking of levodopa levels in interstitial fluid (ISF) using a spindle-shaped carbon nanotube (CNT) fiber electrochemical sensor functionalized with a nanoscale molecularly imprinted polymer (nanoMIP) on single electroactive CNTs. The core-shell (CNT-nanoMIP) nanostructures provide sensitive, selective detection of levodopa, along with resistance to both biofouling and chemical fouling in continuous ISF detection. The system was validated for monitoring complete pharmacokinetic profiles and assessing temporal correlations between ISF/plasma levodopa pharmacokinetics in both PD rat models and healthy rats. We also demonstrated optimized and adjustable pharmacokinetic profiles through in vivo experiments with rationally designed levodopa dosing regimens, highlighting the system’s potential for personalized PD pharmacotherapy. Real-time tracking of levodopa dynamics is key for precise Parkinson’s therapy. Here, the authors develop a continuous monitoring system with a nano MIP-functionalized carbon nanotube fiber sensor that achieves in vivo pharmacokinetic profiling and guides dosing regimen optimization.
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