ArticleACS pharmacology & translational science2018
High-Precision Control of Plasma Drug Levels Using Feedback-Controlled Dosing.
Article in ACS pharmacology & translational science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed, 92 citations in OpenAlex.
- Adaptive feedback control for the high-precision management of in-tissue drug concentrations.Bioengineering & translational medicine · 2026Article
- Advances and Challenges in Wearable Sensors for Health Monitoring.ACS applied materials & interfaces · 2026Review
- A Minimally Invasive, Subcutaneous Biosensor Reliably Estimates Plasma Methotrexate Exposure and Quantifies Plasma-to-Tissue Transport Kinetics.ACS pharmacology & translational science · 2026Article
- Research advances of copper homeostasis and cuproptosis in orthopedic diseases.Cell death discovery · 2026Review
- Seconds-Resolved Measurements of Vancomycin Transport from the Plasma to the Interstitial Fluid Highlight a Path Towards Real-Time Therapeutic Drug Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Continuous, Week-Long, Seconds-ResolvedJournal of the American Chemical Society · 2026Article
- Article
- Pilot phase clinical trial of a wearable, electrochemical aptamer-based patch for continuous drug concentration measurement.Nature biotechnology · 2026Article
- A pilot study of a novel portable mass spectrometer for rapid, simultaneous detection of multiple anesthetic drug concentrations.Frontiers in veterinary science · 2026Article
- Artificial Intelligence in Drug-Coated Cardiovascular Devices: A Narrative Review.Reviews in cardiovascular medicine · 2025Review
- On the Design, Fabrication, and Operation of Electrochemical Aptamer-Based Sensors.ACS sensors · 2025Review
- Catheter-Electrode System for Continuous Aptamer-Based Sensing in the Rat Subcutaneous Space.ECS sensors plus · 2025Article
- On the Blood Components Contributing to the Drift of Electrochemical Aptamer-Based Biosensors.ACS sensors · 2025Article
- Methods of Estimating Plasma Pharmacokinetics From Minimally Invasive, High Temporal Resolution Measurements of Interstitial Fluid Drug Concentrations.Clinical and translational science · 2025Article
- Article
- Feedback Control over Plasma Drug Concentrations Achieves Rapid and Accurate Control over Solid-Tissue Drug Concentrations.ACS pharmacology & translational science · 2025Article
- Enhancing immunotherapy with tumour-responsive nanomaterials.Nature reviews. Clinical oncology · 2025Review
- Monitoring HIV Antiretroviral Therapy via Aptamer-Based Measurements in Preclinical Animal Models, in Human Plasma.Advanced sensor research · 2025Article
- Therapeutic Drug Distribution across the Mouse Brain Is Heterogeneous as Revealed by In Vivo, Spatially Resolved Aptamer-Based Sensing.ACS pharmacology & translational science · 2025Article
- Effects of Physiological-Scale Variation in Cations, pH, and Temperature on the Calibration of Electrochemical Aptamer-Based Sensors.ACS sensors · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
By, in effect, rendering pharmacokinetics an experimentally adjustable parameter, the ability to perform feedback-controlled dosing informed by high-frequency in vivo drug measurements would prove a powerful tool for both pharmacological research and clinical practice. Efforts to this end, however, have historically been thwarted by an inability to measure in vivo drug levels in real time and with sufficient convenience and temporal resolution. In response, we describe a closed-loop, feedback-controlled delivery system that uses drug level measurements provided by an in vivo electrochemical aptamer-based (E-AB) sensor to adjust dosing rates every 7 s. The resulting system supports the maintenance of either constant or predefined time-varying plasma drug concentration profiles in live rats over many hours. For researchers, the resultant high-precision control over drug plasma concentrations provides an unprecedented opportunity to (1) map the relationships between pharmacokinetics and clinical outcomes, (2) eliminate inter- and intrasubject metabolic variation as a confounding experimental variable, (3) accurately simulate human pharmacokinetics in animal models, and (4) measure minute-to-minute changes in a drug's pharmacokinetic behavior in response to changing health status, diet, drug-drug interactions, or other intrinsic and external factors. In the clinic, feedback-controlled drug delivery would improve our ability to accurately maintain therapeutic drug levels in the face of large, often unpredictable intra- and interpatient metabolic variation. This, in turn, would improve the efficacy and safety of therapeutic intervention, particularly for the most gravely ill patients, for whom metabolic variability is highest and the margin for therapeutic error is smallest.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.