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High-Precision Control of Plasma Drug Levels Using Feedback-Controlled Dosing
Netzahualcóyotl Arroyo-Currás1, Gabriel Ortega2,2,3, David A Copp2
1Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland 21205, United States.
ACS Pharmacology & Translational Science
|March 29, 2020
Summary
This study introduces a closed-loop drug delivery system using electrochemical aptamer-based sensors for real-time in vivo measurements. This enables precise control over drug concentrations, advancing pharmacological research and clinical applications.
Area of Science:
- Biomedical Engineering
- Pharmacology
- Analytical Chemistry
Background:
- Accurate in vivo drug monitoring is crucial for personalized medicine and research.
- Current methods lack the real-time, high-frequency measurements needed for precise pharmacokinetic control.
- Feedback-controlled drug delivery has been limited by technological constraints.
Purpose of the Study:
- To develop a closed-loop, feedback-controlled drug delivery system.
- To enable real-time adjustment of drug dosing based on in vivo measurements.
- To demonstrate precise control over plasma drug concentration profiles.
Main Methods:
- Utilized an in vivo electrochemical aptamer-based (E-AB) sensor for drug level detection.
- Integrated the sensor with a drug delivery system for automated, closed-loop control.
- Adjusted dosing rates every 7 seconds based on sensor feedback in live rats.
Main Results:
- Successfully maintained constant and time-varying plasma drug concentration profiles for extended periods.
- Demonstrated high-precision control over drug pharmacokinetics in a preclinical model.
- Showcased the system's ability to adapt to dynamic physiological conditions.
Conclusions:
- This feedback-controlled system offers unprecedented precision for pharmacokinetic research.
- It has the potential to significantly improve therapeutic efficacy and patient safety in clinical settings.
- Enables accurate simulation of human pharmacokinetics and monitoring of drug behavior.
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