Abstract
Background
Ponesimod is a selective, orally active sphingosine-1-phosphate receptor 1 modulator currently undergoing clinical evaluation for the treatment of multiple sclerosis (MS) in phase III clinical trials. Ponesimod dose-dependently reduces peripheral blood lymphocyte counts by blocking the egress of lymphocytes from lymphoid organs.
Methods
A population pharmacokinetic (PK) analysis was performed based on pooled data from 13 clinical studies. Interindividual variability (IIV) and the impact of key demographic variables and other covariates on ponesimod exposure were assessed quantitatively.
Results
A two-compartment model with sequential zero/first-order absorption, including lag time, intercompartmental drug flow, and first-order clearance, adequately described the PK of ponesimod. Body weight, race, MS, psoriasis, hepatic impairment, drug formulation, and food were identified to significantly affect the concentration–time profile. The inclusion of these covariates into the model explained approximately 25 % of the IIV in the PK of ponesimod. Model predictions indicated that the impact of the identified covariates on ponesimod steady-state exposure is within 20 % of exposure, and thus within the margins of the IIV, with the exception of hepatic impairment. Changes up to threefold were predicted for severe cases of liver dysfunction.
Conclusion
The rich data set enabled building a comprehensive population PK model that accurately predicts the concentration–time data of ponesimod. Covariates other than hepatic impairment were considered not clinically relevant and thus do not require dose adjustment. A potential dose adaptation can be conducted based on the final model.
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