Literature DB >> 31424183

A Multi-Compartment Model Capturing the Pharmacokinetics of the Calcimimetic Cinacalcet.

Gudrun Schappacher-Tilp1, Doris H Fuertinger2, Peter Kotanko3,4.   

Abstract

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. © Copyright by the Author(s). Published by Cell Physiol Biochem Press.

Entities:  

Keywords:  Cinacalcet; mathematical model; pharmacokinetics

Mesh:

Substances:

Year:  2019        PMID: 31424183     DOI: 10.33594/000000148

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  2 in total

1.  Pharmacogenetic and safety analysis of cinacalcet hydrochloride in healthy Chinese subjects.

Authors:  Yang-Jie Liu; Lu-Ning Sun; Zi-Ping Cheng; Yi Qian; Zeng-Qing Ma; Xue-Hui Zhang; Hong-Wen Zhang; Li-Jun Xie; Lei Yu; Zi-Qing-Yun Yuan; Yun Liu; Yong-Qing Wang
Journal:  Ann Transl Med       Date:  2020-11

Review 2.  Artificial intelligence enabled applications in kidney disease.

Authors:  Sheetal Chaudhuri; Andrew Long; Hanjie Zhang; Caitlin Monaghan; John W Larkin; Peter Kotanko; Shashi Kalaskar; Jeroen P Kooman; Frank M van der Sande; Franklin W Maddux; Len A Usvyat
Journal:  Semin Dial       Date:  2020-09-13       Impact factor: 3.455

  2 in total

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