Literature DB >> 27638335

Impact of Demographics, Organ Impairment, Disease, Formulation, and Food on the Pharmacokinetics of the Selective S1P1 Receptor Modulator Ponesimod Based on 13 Clinical Studies.

Dominik Lott1,2, Thorsten Lehr3, Jasper Dingemanse4, Andreas Krause4.   

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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Year:  2017        PMID: 27638335     DOI: 10.1007/s40262-016-0446-8

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  32 in total

1.  Importance of shrinkage in empirical bayes estimates for diagnostics: problems and solutions.

Authors:  Radojka M Savic; Mats O Karlsson
Journal:  AAPS J       Date:  2009-08-01       Impact factor: 4.009

Review 2.  Influence of race or ethnicity on pharmacokinetics of drugs.

Authors:  J A Johnson
Journal:  J Pharm Sci       Date:  1997-12       Impact factor: 3.534

Review 3.  Clinical pharmacology, efficacy, and safety aspects of sphingosine-1-phosphate receptor modulators.

Authors:  Pierre-Eric Juif; Stephan Kraehenbuehl; Jasper Dingemanse
Journal:  Expert Opin Drug Metab Toxicol       Date:  2016-06-13       Impact factor: 4.481

4.  The selective sphingosine 1-phosphate receptor 1 agonist ponesimod protects against lymphocyte-mediated tissue inflammation.

Authors:  Luca Piali; Sylvie Froidevaux; Patrick Hess; Oliver Nayler; Martin H Bolli; Eva Schlosser; Christopher Kohl; Beat Steiner; Martine Clozel
Journal:  J Pharmacol Exp Ther       Date:  2011-02-23       Impact factor: 4.030

5.  Effects of ethnicity and sex on the pharmacokinetics and pharmacodynamics of the selective sphingosine-1-phosphate receptor 1 modulator ponesimod: a clinical study in Japanese and Caucasian subjects.

Authors:  Maribel Reyes; Matthias Hoch; Patrick Brossard; Jasper Dingemanse
Journal:  Pharmacology       Date:  2014-11-14       Impact factor: 2.547

6.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

7.  Three different up-titration regimens of ponesimod, an S1P1 receptor modulator, in healthy subjects.

Authors:  Michael W Scherz; Patrick Brossard; Daniele D'Ambrosio; Murat Ipek; Jasper Dingemanse
Journal:  J Clin Pharmacol       Date:  2015-02-10       Impact factor: 3.126

8.  Pharmacokinetics and pharmacodynamics of ponesimod, a selective S1P1 receptor modulator, in the first-in-human study.

Authors:  Patrick Brossard; Hartmut Derendorf; Jian Xu; Haidar Maatouk; Atef Halabi; Jasper Dingemanse
Journal:  Br J Clin Pharmacol       Date:  2013-12       Impact factor: 4.335

9.  Biocomparison of Three Formulations of the S1P1 Receptor Modulator Ponesimod in Healthy Subjects.

Authors:  Pierre-Eric Juif; Matthias Hoch; Daniele D'Ambrosio; Jasper Dingemanse
Journal:  Drugs R D       Date:  2015-06

10.  Oral ponesimod in relapsing-remitting multiple sclerosis: a randomised phase II trial.

Authors:  Tomas Olsson; Aaron Boster; Óscar Fernández; Mark S Freedman; Carlo Pozzilli; Doris Bach; Ouali Berkani; Markus S Mueller; Tatiana Sidorenko; Ernst-Wilhelm Radue; Maria Melanson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2014-03-21       Impact factor: 10.154

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  3 in total

1.  Modeling the Effect of the Selective S1P1 Receptor Modulator Ponesimod on Subsets of Blood Lymphocytes.

Authors:  Dominik Lott; Andreas Krause; Christian A Seemayer; Daniel S Strasser; Jasper Dingemanse; Thorsten Lehr
Journal:  Pharm Res       Date:  2016-12-27       Impact factor: 4.200

2.  Modelling pharmacokinetics and pharmacodynamics of the selective S1P1 receptor modulator cenerimod in healthy subjects and systemic lupus erythematosus patients.

Authors:  Dominik Lott; Pierre-Eric Juif; Jasper Dingemanse; Andreas Krause
Journal:  Br J Clin Pharmacol       Date:  2020-01-14       Impact factor: 4.335

3.  An exposure-response analysis of ponesimod clinical efficacy in a randomized phase III study in patients with relapsing multiple sclerosis.

Authors:  Belén Valenzuela; Per Olsson Gisleskog; Italo Poggesi; Tatiana Sidorenko; Michel Burcklen; Hilke Kracker; Juan Jose Pérez-Ruixo
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-09-01
  3 in total

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