ArticleClinical pharmacokinetics2010
Semi-mechanistic population pharmacokinetic drug-drug interaction modelling of a long half-life substrate and itraconazole.
Article in Clinical pharmacokinetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- PKPD and cardiac single cell modeling of a DDI study with a CYP3A4 substrate and itraconazole to quantify the effects on QT interval duration.Journal of pharmacokinetics and pharmacodynamics · 2020Trial
- Pharmacokinetic Drug Interaction Studies with Enzalutamide.Clinical pharmacokinetics · 2015Trial
- Population pharmacokinetic modeling of itraconazole and hydroxyitraconazole for oral SUBA-itraconazole and sporanox capsule formulations in healthy subjects in fed and fasted states.Antimicrobial agents and chemotherapy · 2015Trial
- Quantitative pharmacology approach in Alzheimer's disease: efficacy modeling of early clinical data to predict clinical outcome of tesofensine.The AAPS journal · 2010Trial
- An experience on the model-based evaluation of pharmacokinetic drug-drug interaction for a long half-life drug.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2021Article
- Pediatric Drug-Drug Interaction Evaluation: Drug, Patient Population, and Methodological Considerations.Journal of clinical pharmacology · 2021Review
- An Informatics-based Approach to Identify Key Pharmacological Components in Drug-Drug Interactions.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Characterizing the Pharmacokinetic Interaction Between Simeprevir and Odalasvir in Healthy Volunteers Using a Population Modeling Approach.The AAPS journal · 2018Article
- Population in vitro-in vivo pharmacokinetic model of first-pass metabolism: itraconazole and hydroxy-itraconazole.Journal of pharmacokinetics and pharmacodynamics · 2018Article
- Methods and strategies for assessing uncontrolled drug-drug interactions in population pharmacokinetic analyses: results from the International Society of Pharmacometrics (ISOP) Working Group.Journal of pharmacokinetics and pharmacodynamics · 2016Review
- Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFor compounds with a long elimination half-life, the evaluation of a drug-drug interaction (DDI) study can be challenging. The standard analytical approach of a non-compartmental analysis (NCA) might not be able to detect the full interaction potential and may lead to a significant underestimation of the interaction. The most appropriate method for data analysis might be a semi-mechanistic population pharmacokinetic modelling approach.
objectivesTo accomplish a semi-mechanistic DDI model for a long-elimination-half-life drug substrate, tesofensine, and the cytochrome P450 (CYP) 3A4 inhibitor itraconazole, and to compare the results of the semi-mechanistic model with the results obtained from the standard NCA approach. Additionally, the impact of different schedules of itraconazole on tesofensine pharmacokinetics and the general performance of the standard NCA approach were evaluated.
methodsOverall, 28 subjects received a single oral dose of tesofensine 2 mg; 14 of these subjects were coadministered an oral itraconazole 400 mg loading dose and a 200 mg maintenance dose for 6 days before and 5 days after administration of tesofensine. The dataset contained 465 plasma concentrations of tesofensine (full profiles) and 80 plasma concentrations of itraconazole (trough values). First, pharmacokinetic models of itraconazole and tesofensine were developed in parallel. Subsequently, a combined model was developed, taking into account CYP3A4 inhibition. The analyses were performed using NONMEM software.
resultsThe plasma concentration-time profiles of itraconazole and tesofensine were best described by a one-compartment model for each drug, with first-order elimination rate constants that were both inhibited by itraconazole concentrations. Inhibition resulted in reduced clearances and prolonged elimination half-lives for tesofensine and itraconazole: using NCA, the actual study revealed an approximately 9% increase in exposure for the timeframe of the coadministration with itraconazole (the area under the plasma concentration-time curve (AUC) from 0 to 144 hours [AUC(144h)]), and the impact on exposure estimated to infinity (AUC(infinity)) was approximately 26%. These results are in contrast to the model-predicted results, where the inhibitory effect of itraconazole caused a 38% reduction in the clearance of tesofensine, leading to a 63% increased exposure.
conclusionsThis analysis presents a semi-mechanistic population pharmacokinetic approach that may be useful for the evaluation of DDI studies. The model can be an aid in evaluating DDI studies for compounds with a long elimination half-life, especially when the inhibitor cannot be administered over a sufficient period. Additionally, the population model-based approach may allow simplification of the design and the analysis and interpretation of safety and efficacy findings in DDI studies.
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