Dose Adaptation to Offset the Pharmacokinetic Interaction Between Ticagrelor and Ritonavir in Healthy Volunteers by Population-based PK Modeling (Simcyp®)
Dose Adaptation to Offset the Pharmacokinetic Interaction Between Ticagrelor and Ritonavir in Healthy Volunteers by Population-based PK Modeling (Simcyp®)
Ticagrelor is a new generation antiplatelet agent with higher efficacy as compared to clopidogrel and prasugrel in treatment of patients with moderate and high ischemic risks. Ticagrelor is active as such and its hepatic metabolism by CYP3A generates also an active metabolite. Because of the remarkable progress in HIV therapies the number of older age patients is on the rise, requiring adequate cardiovascular treatment. Since frontline HIV therapies include ritonavir, a strong inhibitor of CYP3A enzyme, ticagrelor is contraindicated in these patients because of the expected interaction and bleeding risk. A lower efficacy of clopidogrel and prasugrel, which are both pro-drugs, in the presence of ritonavir has been already demonstrated. Therefore, administration of a lower dose of ticagrelor may be a good alternative in HIV patients in order to lessen the impact of this pharmacokinetic interaction. The aim of this study is to adjust the dose of ticagrelor in case of co-treatment with ritonavir to achieve the same pharmacokinetic profile as administered alone using a physiologically-based pharmacokinetic (PBPK) model.
As the first step, a pharmacokinetic (PK) model for ticagrelor and its active metabolite will be created based on available in vitro and in vivo parameters in healthy volunteers.
An open-label, 2 sessions cross over study will be conducted with 20 healthy male volunteers at Clinical Research Center (CRC) of Geneva University Hospitals (HUG). During the first session of the clinical trial, a single dose 180 mg ticagrelor will be administered to the volunteers and obtained pharmacokinetic data will be fitted into the model for optimization. Thereafter a simulated trial by the Simcyp® simulator in presence of a single dose 100 mg ritonavir will allow evaluating the impact of CYP3A inhibition on the concentration-time profile of ticagrelor and its active metabolite. The necessary dose of ticagrelor to minimize the magnitude of this interaction will be calculated. This new dose will be co-administered with ritonavir in the same volunteers during the second session of the clinical trial. The purpose is to obtain the same PK profile with single dose of 180 mg ticagrelor administered alone and with an adapted dose of ticagrelor co-administered with a single dose 100 mg ritonavir. Moreover, the pharmacodynamic effect of ticagrelor will be measured in both sessions of the clinical trial using two specific platelet function tests: the VAsodilator-Stimulated Phosphoprotein assay (VASP) and VerifyNow® P2Y12. With the same PK profile, the same pharmacodynamic activity is expected. The modulation of activity of CYP3A and P-gp by ritonavir will be also monitored using micro dose midazolam and fexofenadine as probe substrates.
The purpose of this study is to use the Simcyp® Simulator mechanistic PBPK modeling to broaden the application field of ticagrelor, especially in HIV patients. Since PK models are often created after clinical observations, the prospective aspect of this study is of particular value as the model will be first created and then applied to an unknown clinical scenario.
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