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

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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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References

  1. Piali L, Froidevaux S, Hess P, Nayler O, Bolli MH, Schlosser E, et al. The selective sphingosine 1-phosphate receptor 1 agonist ponesimod protects against lymphocyte-mediated tissue inflammation. J Pharmacol Exp Ther. 2011;337(2):547–56.

    Article  CAS  PubMed  Google Scholar 

  2. Juif PE, Kraehenbuehl S, Dingemanse J. Clinical pharmacology, efficacy, and safety aspects of sphingosine-1-phosphate receptor modulators. Expert Opin Drug Metab Toxicol. 2016;12(8):879–95.

    Article  CAS  PubMed  Google Scholar 

  3. Matloubian M, Lo CG, Cinamon G, Lesneski MJ, Xu Y, Brinkmann V, et al. Lymphocyte egress from thymus and peripheral lymphoid organs is dependent on S1P receptor 1. Nature. 2004;427(6972):355–60.

    Article  CAS  PubMed  Google Scholar 

  4. Schwab SR, Pereira JP, Matloubian M, Xu Y, Huang Y, Cyster JG. Lymphocyte sequestration through S1P lyase inhibition and disruption of S1P gradients. Science. 2005;309(5741):1735–9.

    Article  CAS  PubMed  Google Scholar 

  5. Vaclavkova A, Chimenti S, Arenberger P, Hollo P, Sator PG, Burcklen M, et al. Oral ponesimod in patients with chronic plaque psoriasis: a randomised, double-blind, placebo-controlled phase 2 trial. Lancet. 2014;384(9959):2036–45.

    Article  CAS  PubMed  Google Scholar 

  6. Olsson T, Boster A, Fernandez O, Freedman MS, Pozzilli C, Bach D, et al. Oral ponesimod in relapsing-remitting multiple sclerosis: a randomised phase II trial. J Neurol Neurosurg Psychiatry. 2014;85(11):1198–208.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Actelion. Oral ponesimod versus teriflunomide in relapsing multiple sclerosis (OPTIMUM). [ClinicalTrials.gov identifier NCT02425644]. US National Institutes of Health, Clinicaltrials.gov. 2015. https://clinicaltrials.gov/ct2/show/NCT02425644.

  8. Brossard P, Scherz M, Halabi A, Maatouk H, Krause A, Dingemanse J. Multiple-dose tolerability, pharmacokinetics, and pharmacodynamics of ponesimod, an S1P1 receptor modulator: favorable impact of dose up-titration. J Clin Pharmacol. 2014;54(2):179–88.

    Article  CAS  PubMed  Google Scholar 

  9. Hoch M, D’Ambrosio D, Wilbraham D, Brossard P, Dingemanse J. Clinical pharmacology of ponesimod, a selective S1P(1) receptor modulator, after uptitration to supratherapeutic doses in healthy subjects. Eur J Pharm Sci. 2014;63:147–53.

    Article  CAS  PubMed  Google Scholar 

  10. Reyes M, Brossard P, Chassard D, Hoch M, Dingemanse J. Effects of ponesimod, a selective S1P1 receptor modulator, on the pharmacokinetics of a hormonal combination contraceptive. Eur J Clin Pharmacol. 2014;70(3):287–93.

    Article  CAS  PubMed  Google Scholar 

  11. Reyes M, Hoch M, Brossard P, Wagner-Redeker W, Miraval T, Dingemanse J. Mass balance, pharmacokinetics and metabolism of the selective S1P1 receptor modulator ponesimod in humans. Xenobiotica. 2015;45(2):139–49.

    Article  CAS  PubMed  Google Scholar 

  12. Brossard P, Derendorf H, Xu J, Maatouk H, Halabi A, Dingemanse J. Pharmacokinetics and pharmacodynamics of ponesimod, a selective S1P1 receptor modulator, in the first-in-human study. Br J Clin Pharmacol. 2013;76(6):888–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Boehler M, Juif PE, Hoch M, Dingemanse J. Absolute bioavailability of ponesimod, a selective S1P receptor modulator, in healthy male subjects. Eur J Drug Metab Pharmacokinet. Epub 16 Feb 2016.

  14. Guerard N, Zwingelstein C, Hoch M, Dingemanse J. Effect of hepatic or renal impairment on the pharmacokinetics, safety, and tolerability of ponesimod, a selective S1P1 receptor modulator. Basic Clin Pharmacol Toxicol. 2016;118(5):356–68.

    Article  CAS  PubMed  Google Scholar 

  15. Reyes M, Hoch M, Brossard P, Dingemanse J. 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. Pharmacology. 2014;94(5–6):223–9.

    Article  CAS  PubMed  Google Scholar 

  16. Juif PE, Hoch M, D’Ambrosio D, Dingemanse J. Biocomparison of three formulations of the S1P1 receptor modulator ponesimod in healthy subjects. Drugs R D. 2015;15(2):203–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Hoch M, Vaclavkova A, Krause A, Strong A, Bush J, Dingemanse J, et al. A novel gradual up-titration regimen mitigates the first-dose effects of ponesimod, a selective S1P1 receptor modulator. Clin Ther. 2015;37(8 Suppl):e36–7.

    Article  Google Scholar 

  18. Scherz MW, Brossard P, D’Ambrosio D, Ipek M, Dingemanse J. Three different up-titration regimens of ponesimod, an S1P1 receptor modulator, in healthy subjects. J Clin Pharmacol. 2015;55(6):688–97.

    Article  CAS  PubMed  Google Scholar 

  19. Jamsen KM, McLeay SC, Barras MA, Green B. Reporting a population pharmacokinetic-pharmacodynamic study: a journal’s perspective. Clin Pharmacokinet. 2014;53(2):111–22.

    Article  CAS  PubMed  Google Scholar 

  20. Krause A, Brossard P, D’Ambrosio D, Dingemanse J. Population pharmacokinetics and pharmacodynamics of ponesimod, a selective S1P1 receptor modulator. J Pharmacokinet Pharmacodyn. 2014;41(3):261–78.

    Article  CAS  PubMed  Google Scholar 

  21. Lott D, Krause A, Dingemanse J, Lehr T. Population pharmacokinetics of ponesimod and its primary metabolites in healthy and organ-impaired subjects. Eur J Pharm Sci. 2016;89:83–93.

    Article  CAS  PubMed  Google Scholar 

  22. Pugh RN, Murray-Lyon IM, Dawson JL, Pietroni MC, Williams R. Transection of the oesophagus for bleeding oesophageal varices. Br J Surg. 1973;60(8):646–9.

    Article  CAS  PubMed  Google Scholar 

  23. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999;130(6):461–70.

    Article  CAS  PubMed  Google Scholar 

  24. Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med. 2006;145(4):247–54.

    Article  CAS  PubMed  Google Scholar 

  25. Polman CH, Reingold SC, Edan G, Filippi M, Hartung HP, Kappos L, et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”. Ann Neurol. 2005;58(6):840–6.

    Article  PubMed  Google Scholar 

  26. Holford NH. The visual predictive check-superiority to standard diagnostic (Rorschach) plots. Poster presented at the: 14th Population Approach Group Europe (PAGE) meeting, Pamplona, Spain, 16–17 June 2005. http://www.page-meeting.org/?abstract=738.

  27. Holford NH. An introduction to visual predictive checks. 2012. http://holford.fmhs.auckland.ac.nz/docs/vpc-tutorial-and-datatop.pdf.

  28. Bergstrand M, Hooker AC, Wallin JE, Karlsson MO. Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models. AAPS J. 2011;13(2):143–51.

    Article  PubMed  PubMed Central  Google Scholar 

  29. R Development Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2009.

    Google Scholar 

  30. Lixoft-Incuballiance. Monolix user guide. 4.3.1 ed. Orsay; 2014.

  31. Harrell FE. Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis. Berlin: Springer; 2001.

    Book  Google Scholar 

  32. Krause A, Lowe PJ. Visualization and communication of pharmacometric models with berkeley madonna. CPT Pharmacometrics Syst Pharmacol. 2014;3:e116.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Lixoft-Incuballiance. MLXPlore: Monolix model explorer version 1.1.0. Orsay; 2014.

  34. Savic RM, Karlsson MO. Importance of shrinkage in empirical bayes estimates for diagnostics: problems and solutions. AAPS J. 2009;11(3):558–69.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Wu K, Mercier F, David OJ, Schmouder RL, Looby M. Population pharmacokinetics of fingolimod phosphate in healthy participants. J Clin Pharmacol. 2012;52(7):1054–68.

    Article  CAS  PubMed  Google Scholar 

  36. Anderson BJ, Holford NH. Mechanism-based concepts of size and maturity in pharmacokinetics. Annu Rev Pharmacol Toxicol. 2008;48:303–32.

    Article  CAS  PubMed  Google Scholar 

  37. Johnson JA. Influence of race or ethnicity on pharmacokinetics of drugs. J Pharm Sci. 1997;86(12):1328–33.

    Article  CAS  PubMed  Google Scholar 

  38. Johnson JA. Predictability of the effects of race or ethnicity on pharmacokinetics of drugs. Int J Clin Pharmacol Ther. 2000;38(2):53–60.

    Article  CAS  PubMed  Google Scholar 

  39. Kovarik JM, Schmouder RL, Hartmann S, Riviere GJ, Picard F, Voss B, et al. Fingolimod (FTY720) in severe hepatic impairment: pharmacokinetics and relationship to markers of liver function. J Clin Pharmacol. 2006;46(2):149–56.

    Article  CAS  PubMed  Google Scholar 

  40. Hoch M, Darpo B, Brossard P, Zhou M, Stoltz R, Dingemanse J. Effect of ponesimod, a selective S1P1 receptor modulator, on the QT interval in healthy individuals. Basic Clin Pharmacol Toxicol. 2015;116(5):429–37.

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Dominik Lott.

Ethics declarations

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in this study.

Funding

The studies were funded by Actelion Pharmaceuticals Ltd.

Conflict of interest

Dominik Lott, Jasper Dingemanse, and Andreas Krause are employees of Actelion Pharmaceuticals Ltd. Thorsten Lehr has reported no potential conflicts of interest.

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Lott, D., Lehr, T., Dingemanse, J. et al. Impact of Demographics, Organ Impairment, Disease, Formulation, and Food on the Pharmacokinetics of the Selective S1P1 Receptor Modulator Ponesimod Based on 13 Clinical Studies. Clin Pharmacokinet 56, 395–408 (2017). https://doi.org/10.1007/s40262-016-0446-8

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