Mechanistic in vitro–in vivo extrapolation (IVIVE) approach using a biomimetic in vitro system for the prediction of hepatic clearance

This study proposes a novel <i>in vitro</i>-<i>in vivo</i> extrapolation (IVIVE) strategy that integrates a patented biomimetic <i>in vitro</i> system with pharmacokinetic modeling to improve the prediction of <i>in vivo</i> drug kinetics. The system employed a single-well plate design with various sizes of mesh inserts to simultaneously assess drug diffusion and cellular metabolism. Drug diffusion patterns were quantified and modeled using a Weibull distribution to establish mathematical relationships between pore size and kinetic parameters. The model was extended to predict the metabolic phase with two drugs, the metabolic conversion of diclofenac into 4-hydroxydiclofenac and metabolic clearance of testosterone in HepaRG cells. The predicted <i>in vivo</i> hepatic clearance values derived from the <i>in vitro</i> model were consistent with those reported <i>in vivo</i>, validating the approach. This integrated strategy enhances IVIVE accuracy and supports the 3 R (replacement, reduction, and refinement) principle by reducing the reliance on animal testing. The findings demonstrate the potential of combining biomimetic systems and mathematical modeling as a reliable platform for pharmacokinetic prediction in drug development.

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Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2025-01-01
DOI
https://doi.org/10.1016/j.csbj.2025.05.036
Citations
1
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.67

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article

Mechanistic in vitro–in vivo extrapolation (IVIVE) approach using a biomimetic in vitro system for the prediction of hepatic clearance

Jung‐woo Chae, Hwi‐yeol Yun, Sun‐Woong Kang, Soo‐Chang Song et al.
1 citations
Computational and Structural Biotechnology Journal
3D Printing in Biomedical Research
0.67
article

Mechanistic in vitro–in vivo extrapolation (IVIVE) approach using a biomimetic in vitro system for the prediction of hepatic clearance

Jung‐woo Chae, Hwi‐yeol Yun, Sun‐Woong Kang, Soo‐Chang Song, Soyoung Lee, Woojin Jung, Seongwon Park
article en
1 citations

Abstract

This study proposes a novel <i>in vitro</i>-<i>in vivo</i> extrapolation (IVIVE) strategy that integrates a patented biomimetic <i>in vitro</i> system with pharmacokinetic modeling to improve the prediction of <i>in vivo</i> drug kinetics. The system employed a single-well plate design with various sizes of mesh inserts to simultaneously assess drug diffusion and cellular metabolism. Drug diffusion patterns were quantified and modeled using a Weibull distribution to establish mathematical relationships between pore size and kinetic parameters. The model was extended to predict the metabolic phase with two drugs, the metabolic conversion of diclofenac into 4-hydroxydiclofenac and metabolic clearance of testosterone in HepaRG cells. The predicted <i>in vivo</i> hepatic clearance values derived from the <i>in vitro</i> model were consistent with those reported <i>in vivo</i>, validating the approach. This integrated strategy enhances IVIVE accuracy and supports the 3 R (replacement, reduction, and refinement) principle by reducing the reliance on animal testing. The findings demonstrate the potential of combining biomimetic systems and mathematical modeling as a reliable platform for pharmacokinetic prediction in drug development.

Computational and Structural Biotechnology JournalVol. 27
Chungnam National University (KR), Korea Institute of Toxicology (KR), Korea University of Science and Technology (KR)
National Research Foundation, Chungnam National University, Ministry of Trade, Industry and Energy, Ministry of Environment, Ministry of Food and Drug Safety, Korea Institute for Advancement of Technology, Korea Institute of Toxicology, Korea Health Industry Development Institute, National Research Foundation of Korea, Ministry of Education, India, Ministry of Science and ICT, South Korea, Korea Environmental Industry and Technology Institute, Institute for Information and Communications Technology Promotion
Zero hunger
Openalex Percentile: Top 31%
3D Printing in Biomedical Research
0.67
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