Potential integration of multiple organs-on-a-chip for comprehensive drug–drug interaction prediction

MOC systems are currently poised to complement, not replace, established <i>in</i> <i>vitro</i> and modeling approaches for DDI predictions. Near-term value lies in fit-for-purpose contexts of use, supplying physiologically grounded parameters and mechanistic insight to physiologically based pharmacokinetic (PBPK) modeling. With continued progress in addressing key challenges (e.g. physiological scaling, sorptive materials, microscale analytics, variability, throughput, and standardization), MOCs should mature into reliable tools to assist in DDI prediction, and potentially even qualified assays as part of regulatory DDI risk assessment frameworks.

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Publication Details

Journal
Expert Opinion on Drug Metabolism & Toxicology
Published
2026-02-01
DOI
https://doi.org/10.1080/17425255.2026.2633283
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
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article

Potential integration of multiple organs-on-a-chip for comprehensive drug–drug interaction prediction

Catherine K. Yeung, Yik Pui Tsang, Jonathan Himmelfarb, Edward J. Kelly et al.
Expert Opinion on Drug Metabolism & Toxicology
3D Printing in Biomedical Research
article

Potential integration of multiple organs-on-a-chip for comprehensive drug–drug interaction prediction

Catherine K. Yeung, Yik Pui Tsang, Jonathan Himmelfarb, Edward J. Kelly, Kai Wang, Eric W. Hsu
article en

Abstract

MOC systems are currently poised to complement, not replace, established <i>in</i> <i>vitro</i> and modeling approaches for DDI predictions. Near-term value lies in fit-for-purpose contexts of use, supplying physiologically grounded parameters and mechanistic insight to physiologically based pharmacokinetic (PBPK) modeling. With continued progress in addressing key challenges (e.g. physiological scaling, sorptive materials, microscale analytics, variability, throughput, and standardization), MOCs should mature into reliable tools to assist in DDI prediction, and potentially even qualified assays as part of regulatory DDI risk assessment frameworks.

Expert Opinion on Drug Metabolism & ToxicologyVol. 22(2)
University of Washington (US)
Good health and well-being
Openalex Percentile: Top 53%
3D Printing in Biomedical Research
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