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Published on: May 24, 2019
A Diffusion-Based and Dynamic 3D-Printed Device That Enables Parallel in Vitro Pharmacokinetic Profiling of Molecules
Sarah Y Lockwood1, Jayda E Meisel1, Frederick J Monsma2
1Department of Chemistry, Michigan State University , East Lansing, Michigan 48824, United States.
A novel 3D-printed device enables dynamic in vitro pharmacokinetic (PK) profiling using minimal sample volumes. This technology accurately models drug absorption, distribution, metabolism, and excretion (ADME) processes, improving preclinical drug development.
Area of Science:
- Biomedical Engineering
- Pharmacokinetics
- Drug Discovery
Background:
- Preclinical drug development requires accurate determination of drug properties like absorption, distribution, metabolism, and excretion (ADME).
- Existing in vitro systems for pharmacokinetic (PK) profiling have limitations.
- Animal models are traditionally used, but in vitro alternatives are sought.
Purpose of the Study:
- To introduce a novel 3D-printed, diffusion-based, dynamic in vitro device for generating pharmacokinetic (PK) profiles.
- To demonstrate the device's capability in modeling both drug loading and clearance phases.
- To showcase the device's efficiency in terms of sample volume and throughput.
Main Methods:
- A 3D-printed device with six flow channels and integrated porous membrane inserts was designed.
- The device utilizes diffusion across membranes to simulate drug movement.
- Experiments were conducted using fluorescein and levofloxacin, with parameters like flow rate and concentration varied.
Main Results:
- The device successfully generated pharmacokinetic (PK) profiles for fluorescein and levofloxacin.
- A predictive model achieved ~5% coefficient of variation for predicting drug concentrations.
- Analyte depletion followed first-order kinetics, independent of initial concentration.
Conclusions:
- The developed 3D-printed device offers a dynamic and efficient in vitro method for generating pharmacokinetic (PK) profiles.
- It enables simultaneous generation of multiple PK profiles using low sample volumes (milliliter range).
- This technology holds promise for improving preclinical drug assessment and reducing reliance on animal models.
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