Related Experiment Video
Updated: May 24, 2026

Diagonal Method to Measure Synergy Among Any Number of Drugs
Published on: June 21, 2018
Predicting drug candidate victims of drug-drug interactions, using microdosing
Marie Croft1, Brendan Keely, Ian Morris
1Xceleron Ltd, Innovation Way, York, UK. marie.croft@xceleron.com
Objective:
The aim of this crossover human male volunteer study was to investigate the utility of microdosing in the investigation of drug-drug interactions.
Methods:
A mixture of midazolam, tolbutamide, caffeine and fexofenadine were administered as a microdose (25 μg each) before and after administration of a combined pharmacological dose of ketoconazole (400 mg) and fluvoxamine (100 mg) to inhibit P-glycoprotein and metabolism by cytochrome P450 (CYP) 1A2, CYP3A4 and CYP2C9.
Results:
When administered alone, pharmacokinetics for all four microdosed compounds scaled well with those reported for therapeutic doses and with previously performed microdose studies. The pharmacokinetics of each compound administered as a microdose were significantly altered after the administration of ketoconazole and fluvoxamine, showing statistically significant (p < 0.01) 12.8-, 8.1- and 3.2-fold increases in the area under the plasma concentration-time curve from time zero to infinity (AUC(∞)) for midazolam, caffeine and fexofenadine, respectively. A 1.8-fold increase (not statistically significant) in AUC(∞) was observed for tolbutamide. The changes in pharmacokinetics mediated by ketoconazole and fluvoxamine were quantitatively consistent with previously reported, non-microdose, drug-drug interaction data from studies including the same compounds.
Conclusion:
The initial data reported here demonstrate the utility of microdosing to investigate the risk of development drugs being victims of drug-drug interactions.
Related Concept Videos
Drug toxicity: Drug–Drug Interaction
Pharmacokinetic–Pharmacodynamic Relationship: Problems
Drug toxicity: Idiosyncratic Reactions
Drug Discovery: Overview
Agonism and Antagonism: Quantification
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model
