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A Multi-Compartment Model Capturing the Pharmacokinetics of the Calcimimetic Cinacalcet
Gudrun Schappacher-Tilp1, Doris H Fuertinger2, Peter Kotanko3,4
1University of Graz, Institute of Mathematics and Scientific Computing, Graz, Austria, gudrun.schappacher-tilp@uni-graz.at.
Background/Aims:
Chronic kidney disease-mineral bone disorder is a major complication affecting the vast majority of chronic kidney disease patients. A hallmark of the disorder is an altered parathyroid gland biology resulting in secondary hyperparathyroidism. This condition is widely treated by calcimimetics like cinacalcet which act by allosteric activation of the calcium sensing receptor.
Methods:
Here, we present a linear multi-compartment model based on physiological principles such as first-pass metabolism and protein binding, which captures all relevant pharmacokinetic parameters of cinacalcet.
Results:
Due to the linear structure of the model, simulations are numerically stable and allow fast and accurate short or long-term predictions of cinacalcet concentrations in the body.
Conclusion:
The model compartments are physiological meaningful and can be easily adjusted to various conditions like impaired hepatic clearance or different drug administration regimens. Moreover, the model can be easily adapted to specific patient groups.
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