Pharmacokinetics and pharmacodynamics of peginterferon beta-1a in patients with relapsing-remitting multiple sclerosis in the randomized ADVANCE study

Xiao Hu, Yue Cui, Joleen White, Ying Zhu, Aaron Deykin, Ivan Nestorov, Serena Hung, Xiao Hu, Yue Cui, Joleen White, Ying Zhu, Aaron Deykin, Ivan Nestorov, Serena Hung

Abstract

Aims: To evaluate the pharmacokinetics (PK) and pharmacodynamics (PD) of subcutaneous peginterferon beta-1a in patients with relapsing-remitting multiple sclerosis (RRMS) in the phase 3 ADVANCE study (n = 1512).

Methods: During year 1, patients were randomized (1:1:1) to placebo or peginterferon beta-1a 125 μg every 2 or 4 weeks. After year 1, patients randomized to placebo were re-randomized to 125 μg peginterferon beta-1a administered every 2 weeks or every 4 weeks for year 2. Patients randomized to peginterferon beta-1a in year 1 remained on the same dosing regimen in year 2. Intensive blood samples for PK and PD (neopterin elevation; a biomarker of pharmacological activity induced by interferon beta-1a) measurements were collected from 44 patients pre-dosing and at intervals over 240 h post-dosing at weeks 4 and 24. Sparse samples were collected from all patients after each dosing at weeks 4, 12, 24, 56 and 84.

Results: The PK profile of peginterferon beta-1a did not change over time or between dosing regimens. No accumulation was observed. Peak serum concentrations were reached 1-1.5 days post-dosing, with a mono-phasic decline and a median half-life of approximately 2-3 days. Dosing every 2 weeks provided approximately two-fold greater monthly cumulative area under the curve than every 4 weeks. Neopterin elevation was sustained for 10-14 days following each dose, indicating doubled cumulative duration of pharmacological activity for dosing every 2 weeks vs. every 4 weeks.

Conclusions: These PK/PD profiles potentially explain the enhanced efficacy of dosing every 2 weeks in patients with RRMS.

Trial registration: ClinicalTrials.gov NCT00906399.

Keywords: interferon beta-1a; multiple sclerosis; pegylation.

© 2014 The Authors. British Journal of Clinical Pharmacology published by John Wiley & Sons Ltd on behalf of The British Pharmacological Society.

Figures

Figure 1
Figure 1
Peginterferon beta-1a concentration-time profiles (A and B) and neopterin concentration−time profiles (C and D) from intensive subjects. Circles represent geometric mean concentration at week 4; squares represent geometric mean concentration at week 24; error bars indicate 95% confidence interval; dotted lines represent lower limit of quantitation, 31.3 pg ml−1 and 1.29 ng ml−1 for peginterferon beta-1a and neopterin, respectively
Figure 2
Figure 2
Correlation between peginterferon beta-1a AUC(0,τ) and demographic characteristics and creatinine clearance. AUC(0,τ) (mean of weeks 4 and 24) are shown for intensive subjects. Linear regression lines are shown with r2 values. BMI = body mass index; BSA = body surface area; CLcr = creatinine clearance estimated based on Cockcroft–Gault equation; WT = weight
Figure 3
Figure 3
Peginterferon beta-1a concentration−time profiles stratified by antibody status in patients with sparse sampling only. Data from every 2 weeks and every 4 weeks groups at weeks 4, 12, 24, 48, 56 and 84 were pooled. Open circles represent observed data; solid lines represent median values in specified time windows; dashed lines indicate lower limit of quantitation (LLOQ; 31.3 pg ml−1). Concentrations below LLOQ are shown as LLOQ
Figure 4
Figure 4
Pre-dose neopterin concentration in week 0, week 4 and week 24 for intensive subjects. Circles represent geometric mean concentration for the every 2 weeks group; squares represent geometric mean concentration for the every 4 weeks group; error bars indicate 95% confidence interval
Figure 5
Figure 5
Neopterin concentration−time profiles stratified by antibody status in patients with sparse sampling only. Data from every 2 weeks and every 4 weeks groups at weeks 4, 12, 24, 48, 56 and 84 were pooled. Open circles represent observed data; solid lines represent median values in specified time windows; dashed lines indicate lower limit of quantitation (LLOQ; 1.29 pg ml−1). Concentrations below LLOQ are shown as LLOQ

References

    1. Cambridge, MA: Biogen Idec Inc; 2014. Plegridy (peginterferon beta-1a) Package Insert.
    1. Maidenhead, Berkshire, UK: Biogen Idec Inc; 2014. Plegridy (Peginterferon beta-1a) Package Insert.
    1. Hu X, Miller L, Richman S, Hitchman S, Glick G, Liu S, Zhu Y, Crossman M, Nestorov I, Gronke RS, Baker DP, Rogge M, Subramanyam M, Davar G. A novel PEGylated interferon beta-1a for multiple sclerosis: safety, pharmacology, and biology. J Clin Pharmacol. 2012;52:798–808.
    1. Calabresi PA, Kieseier BC, Arnold DL, Balcer LJ, Boyko A, Pelletier J, Liu S, Zhu Y, Seddighzadeh A, Hung S, Deykin A. Pegylated interferon beta-1a in relapsing-remitting multiple sclerosis: results from ADVANCE, a randomized, phase 3, double-blind study. Lancet Neurol. 2014;13:657–665.
    1. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS) Neurology. 1983;33:1444–1452.
    1. Hu X, Seddighzadeh A, Stecher S, Miller L, Zhu Y, Hung S. PEGylated interferon beta-1a pharmacokinetics, pharmacodynamics, and safety in subjects with normal or impaired renal function. Neurology. 2012;78:P06.165.
    1. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16:31–41.
    1. Rebif® (IFN Beta-1a) Package Insert. Rockland, MA: EMD Serono, Inc; 2013.
    1. Fishburn CS. The pharmacology of PEGylation: balancing PD with PK to generate novel therapeutics. J Pharm Sci. 2008;97:4167–4183.
    1. PegIntron® (Peginterferon alfa-2b) Package Insert. Whitehouse Station, NJ: Merck; 2003.
    1. PEGASYS (Peginterferon alfa-2a) Package Insert. South San Francisco, CA: Genentech, Inc; 2013.
    1. FDA [Internet] Guidance for Industry Population Pharmacokinetics. Rockville, MD: U.S. Department of Health and Human Services Food and Drug Administration; 1999. [updated 1999 February]. Available at (last accessed 22 July 2014)
    1. Sheiner LB, Beal SL. Evaluation of methods for estimating population pharmacokinetic parameters. I. Michaelis-Menten model: routine clinical pharmacokinetic data. J Pharmacokinet Biopharm. 1980;8:553–571.
    1. Sheiner LB, Beal SL. Evaluation of methods for estimating population pharmacokinetic parameters. II. Biexponential model and experimental pharmacokinetic data. J Pharmacokinet Biopharm. 1981;9:635–651.
    1. Sheiner LB, Beal SL. Evaluation of methods for estimating population pharmacokinetic parameters. III. Monoexponential model: routine clinical pharmacokinetic data. J Pharmacokinet Biopharm. 1983;11:303–319.
    1. Steimer JL, Mallet A, Golmard JL, Boisvieux JF. Alternative approaches to estimation of population pharmacokinetic parameters: comparison with the nonlinear mixed-effect model. Drug Metab Rev. 1984;15:265–292.
    1. Rothuizen LE, Buclin T, Spertini F, Trinchard I, Munafo A, Buchwalder PA, Ythier A, Biollaz J. Influence of interferon beta-1a dose frequency on PBMC cytokine secretion and biological effect markers. J Neuroimmunol. 1999;99:131–141.
    1. Mager DE, Neuteboom B, Efthymiopoulos C, Munafo A, Jusko WJ. Receptor-mediated pharmacokinetics and pharmacodynamics of interferon-beta1a in monkeys. J Pharmacol Exp Ther. 2003;306:262–270.
    1. Pestka S, Langer JA, Zoon KC, Samuel CE. Interferons and their actions. Annu Rev Biochem. 1987;56:727–777.
    1. Liberati AM, Fizzotti M, Proietti MG, Di Marzio R, Schippa M, Biscottini B, Senatore M, Berruto P, Canali S, Peretti G. Biochemical host response to interferon-beta. J Interferon Res. 1988;8:765–777.

Source: PubMed

3
購読する