Abstract

In drug discovery, the emergence of unexpected toxicity is often a problem resulting from a poor understanding of the pharmacokinetics of drug–drug interactions (DDI). Organ-on-a-chip (OoC) has been proposed as an in vitro model to evaluate drug efficacy and toxicity in pharmacology, but it has not been applied to DDI studies yet. In this study, we aim to evaluate whether organ-on-a-chip technologies can be applied to DDI studies. To assess the usefulness of OoC for DDI studies, we proposed a multi-organ-on-a-chip (MOoC) with a liver part as the metabolic model and a cancer part as the drug target model, and a pharmacokinetic–pharmacodynamic (PK–PD) model describing the MOoC. An anticancer prodrug, CPT-11, was used to evaluate the drug efficacy of the metabolite in the liver part of the MOoC. To evaluate DDI using the MOoC, the inhibitory effect of simvastatin and ritonavir on the metabolism of CPT-11 was tested. The DDI estimation method was evaluated by comparing the results of the concomitant administration experiment using the MOoC and the results of simulation using the proposed PK–PD model with the estimated parameters. The results were similar, suggesting that the combination of the PK–PD model and the MOoC is a useful way to predict DDI. We conclude that OoC technologies could facilitate a better understanding of pharmacokinetic mechanisms with DDI.

Highlights

  • New medicines are approved and manufactured following basic research, nonclinical tests, and clinical tests

  • The drug–drug interactions (DDI) estimation method was evaluated by comparing the results of the concomitant administration experiment using the MOoC and the results of simulation using the proposed PK–PD model with the estimated parameters

  • We reported the DDI estimation method using the PK–PD model based on MOoC and demonstrated its usefulness

Read more

Summary

Introduction

New medicines are approved and manufactured following basic research, nonclinical tests, and clinical tests. The efficacy and toxicity of drug candidate compounds are evaluated in both nonclinical and clinical tests. Serious side effects of the combination of sorivudine and 5-fluorouracil were reported in the 1990s. These unexpected toxicities are due to drug–drug interactions (DDI) caused by the concomitant administration of multiple drugs.[1] Countless combinations of new drugs with other drugs are impossible to be evaluated during pre-production testing. A detailed understanding of pharmacokinetics with DDI is necessary to reduce the risks associated with drug combinations.[2] due to species differences between experimental animals and humans, experimental animals cannot adequately reproduce the reactions in humans. It is difficult to accurately predict and understand the pharmacokinetics of drug–drug interactions in the human body through animal testing.[3]

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.