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Real-Time, Aptamer-Based Tracking of Circulating Therapeutic Agents in Living Animals

适体 治疗药物监测 体内 个性化医疗 持续监测 药理学 注意事项 计算机科学 医学 计算生物学 药品 生物信息学 生物 生物技术 病理 遗传学 经济 运营管理
作者
B. Scott Ferguson,David A. Hoggarth,Dan Maliniak,Kyle L. Ploense,Ryan J. White,Nick Woodward,Kuangwen Hsieh,Andrew J. Bonham,Michael Eisenstein,Tod E. Kippin,Kevin W. Plaxco,H. Tom Soh
出处
期刊:Science Translational Medicine [American Association for the Advancement of Science]
卷期号:5 (213): 213ra165-213ra165 被引量:401
标识
DOI:10.1126/scitranslmed.3007095
摘要

A sensor capable of continuously measuring specific molecules in the bloodstream in vivo would give clinicians a valuable window into patients' health and their response to therapeutics. Such technology would enable truly personalized medicine, wherein therapeutic agents could be tailored with optimal doses for each patient to maximize efficacy and minimize side effects. Unfortunately, continuous, real-time measurement is currently only possible for a handful of targets, such as glucose, lactose, and oxygen, and the few existing platforms for continuous measurement are not generalizable for the monitoring of other analytes, such as small-molecule therapeutics. In response, we have developed a real-time biosensor capable of continuously tracking a wide range of circulating drugs in living subjects. Our microfluidic electrochemical detector for in vivo continuous monitoring (MEDIC) requires no exogenous reagents, operates at room temperature, and can be reconfigured to measure different target molecules by exchanging probes in a modular manner. To demonstrate the system's versatility, we measured therapeutic in vivo concentrations of doxorubicin (a chemotherapeutic) and kanamycin (an antibiotic) in live rats and in human whole blood for several hours with high sensitivity and specificity at subminute temporal resolution. We show that MEDIC can also obtain pharmacokinetic parameters for individual animals in real time. Accordingly, just as continuous glucose monitoring technology is currently revolutionizing diabetes care, we believe that MEDIC could be a powerful enabler for personalized medicine by ensuring delivery of optimal drug doses for individual patients based on direct detection of physiological parameters.
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