Literature DB >> 26873229

Population Pharmacokinetics of Daclizumab High-Yield Process in Healthy Volunteers and Subjects with Multiple Sclerosis: Analysis of Phase I-III Clinical Trials.

Lei Diao1,2, Yaming Hang3, Ahmed A Othman4,5, Ivan Nestorov3, Jonathan Q Tran3,6.   

Abstract

BACKGROUND AND OBJECTIVES: Daclizumab high-yield process (HYP) is a humanized IgG1 monoclonal antibody that binds to the α-subunit (CD25) of the interleukin-2 receptor. The present work characterized the population pharmacokinetics of daclizumab HYP in healthy volunteers (HVs) and subjects with relapsing-remitting multiple sclerosis (RRMS) and evaluated the effects of covariates on daclizumab HYP exposure.
METHODS: Measurable serum concentrations (n = 17,139) from 1670 subjects in seven clinical studies (three phase I, one immunogenicity, one phase II with extension, and one phase III) were included in this pharmacokinetic analysis using non-linear mixed-effects modeling. The three phase I studies evaluated single or multiple doses that ranged from 50 to 400 mg with either intravenous or subcutaneous (SC) administration in HVs (n = 71). The phase II with extension studies evaluated doses of 150 or 300 mg SC every 4 weeks (n = 567), and the immunogenicity (n = 113) and the phase III (n = 919) studies evaluated 150 mg SC every 4 weeks, all in RRMS patients.
RESULTS: A two-compartment model with first-order absorption and elimination adequately described daclizumab HYP pharmacokinetics. Clearance (CL) was 0.212 L/day and the central volume of distribution was 3.92 L, scaled by [body weight (kg)/68] with exponents of 0.87 and 1.12, respectively. The peripheral volume of distribution was 2.42 L. Absorption lag time, mean absorption time, and absolute bioavailability (100-300 mg SC) were 1.61 h, 7.2 days, and 88 %, respectively. The daclizumab HYP terminal half-life was 21 days. Baseline CD25, age, and sex did not influence daclizumab HYP pharmacokinetics. Body weight explained 37 and 27 % of the inter-individual variability for CL and central volume of distribution, respectively. Neutralizing antibody (NAb)-positive status (included as a time-varying covariate) increased daclizumab HYP CL by 19 %.
CONCLUSIONS: Consistent with previous findings in HVs, this analysis including extensive data from RRMS patients demonstrates that daclizumab HYP is characterized by slow CL, linear pharmacokinetics at doses above 100 mg, and high SC bioavailability. The pharmacokinetics of daclizumab HYP were not influenced by age (range 18-66 years), the sex of adult subjects, or the baseline CD4+CD25+ T cells (target level). The impact of covariates (body weight, NAb) on daclizumab HYP pharmacokinetics is unlikely to be clinically relevant.

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Year:  2016        PMID: 26873229     DOI: 10.1007/s40262-016-0366-7

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


  13 in total

Review 1.  Emerging injectable therapies for multiple sclerosis.

Authors:  Jiwon Oh; Peter A Calabresi
Journal:  Lancet Neurol       Date:  2013-10-01       Impact factor: 44.182

Review 2.  Daclizumab (anti-CD25) in multiple sclerosis.

Authors:  Nikolai Pfender; Roland Martin
Journal:  Exp Neurol       Date:  2014-04-24       Impact factor: 5.330

Review 3.  Immunological differences between classical phenothypes of multiple sclerosis.

Authors:  Piotr Iwanowski; Jacek Losy
Journal:  J Neurol Sci       Date:  2015-01-02       Impact factor: 3.181

Review 4.  Interleukin-2, interleukin-15, and their receptors.

Authors:  T Waldmann; Y Tagaya; R Bamford
Journal:  Int Rev Immunol       Date:  1998       Impact factor: 5.311

5.  Interleukin-2-receptor blockade with daclizumab to prevent acute rejection in renal transplantation. Daclizumab Triple Therapy Study Group.

Authors:  F Vincenti; R Kirkman; S Light; G Bumgardner; M Pescovitz; P Halloran; J Neylan; A Wilkinson; H Ekberg; R Gaston; L Backman; J Burdick
Journal:  N Engl J Med       Date:  1998-01-15       Impact factor: 91.245

6.  Daclizumab high-yield process in relapsing-remitting multiple sclerosis (SELECTION): a multicentre, randomised, double-blind extension trial.

Authors:  Gavin Giovannoni; Ralf Gold; Krzysztof Selmaj; Eva Havrdova; Xavier Montalban; Ernst-Wilhelm Radue; Dusan Stefoski; Manjit McNeill; Lakshmi Amaravadi; Marianne Sweetser; Jacob Elkins; Gilmore O'Neill
Journal:  Lancet Neurol       Date:  2014-03-19       Impact factor: 44.182

Review 7.  The biology of interleukin-2.

Authors:  Thomas R Malek
Journal:  Annu Rev Immunol       Date:  2008       Impact factor: 28.527

8.  Daclizumab high-yield process in relapsing-remitting multiple sclerosis (SELECT): a randomised, double-blind, placebo-controlled trial.

Authors:  Ralf Gold; Gavin Giovannoni; Krzysztof Selmaj; Eva Havrdova; Xavier Montalban; Ernst-Wilhelm Radue; Dusan Stefoski; Randy Robinson; Katherine Riester; Jitesh Rana; Jacob Elkins; Gilmore O'Neill
Journal:  Lancet       Date:  2013-04-04       Impact factor: 79.321

9.  Blockade of the High-Affinity Interleukin-2 Receptors with Daclizumab High-Yield Process: Pharmacokinetic/Pharmacodynamic Analysis of Single- and Multiple-Dose Phase I Trials.

Authors:  Mukul Minocha; Jonathan Q Tran; James P Sheridan; Ahmed A Othman
Journal:  Clin Pharmacokinet       Date:  2016-01       Impact factor: 6.447

10.  Daclizumab HYP versus Interferon Beta-1a in Relapsing Multiple Sclerosis.

Authors:  Ludwig Kappos; Heinz Wiendl; Krzysztof Selmaj; Douglas L Arnold; Eva Havrdova; Alexey Boyko; Michael Kaufman; John Rose; Steven Greenberg; Marianne Sweetser; Katherine Riester; Gilmore O'Neill; Jacob Elkins
Journal:  N Engl J Med       Date:  2015-10-08       Impact factor: 91.245

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  12 in total

Review 1.  Daclizumab: Development, Clinical Trials, and Practical Aspects of Use in Multiple Sclerosis.

Authors:  Laura E Baldassari; John W Rose
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

Review 2.  Modelling of the Time-Varying Pharmacokinetics of Therapeutic Monoclonal Antibodies: A Literature Review.

Authors:  Antoine Petitcollin; Amina Bensalem; Marie-Clémence Verdier; Camille Tron; Florian Lemaitre; Gilles Paintaud; Eric Bellissant; David Ternant
Journal:  Clin Pharmacokinet       Date:  2020-01       Impact factor: 6.447

3.  Daclizumab.

Authors:  Anne P Kim; Danial E Baker
Journal:  Hosp Pharm       Date:  2016-12

Review 4.  Systems pharmacology and enhanced pharmacodynamic models for understanding antibody-based drug action and toxicity.

Authors:  Sihem Ait-Oudhia; Meric Ayse Ovacik; Donald E Mager
Journal:  MAbs       Date:  2016-09-23       Impact factor: 5.857

Review 5.  Reporting, Visualization, and Modeling of Immunogenicity Data to Assess Its Impact on Pharmacokinetics, Efficacy, and Safety of Monoclonal Antibodies.

Authors:  Chaitali Passey; Satyendra Suryawanshi; Kinjal Sanghavi; Manish Gupta
Journal:  AAPS J       Date:  2018-02-26       Impact factor: 4.009

Review 6.  Daclizumab high-yield process in the treatment of relapsing-remitting multiple sclerosis.

Authors:  Jana Lizrova Preiningerova; Marta Vachova
Journal:  Ther Adv Neurol Disord       Date:  2016-10-19       Impact factor: 6.570

7.  Population PK-PD analyses of CD25 occupancy, CD56bright NK cell expansion, and regulatory T cell reduction by daclizumab HYP in subjects with multiple sclerosis.

Authors:  Lei Diao; Yaming Hang; Ahmed A Othman; Devangi Mehta; Lakshmi Amaravadi; Ivan Nestorov; Jonathan Q Tran
Journal:  Br J Clin Pharmacol       Date:  2016-08-03       Impact factor: 4.335

Review 8.  Daclizumab: A Review in Relapsing Multiple Sclerosis.

Authors:  Matt Shirley
Journal:  Drugs       Date:  2017-03       Impact factor: 11.431

9.  Pregnancy Experience: Nonclinical Studies and Pregnancy Outcomes in the Daclizumab Clinical Study Program.

Authors:  Ralf Gold; Dusan Stefoski; Krzysztof Selmaj; Eva Havrdova; Christopher Hurst; Joan Holman; Belen Tornesi; Surekha Akella; Peter McCroskery
Journal:  Neurol Ther       Date:  2016-07-13

Review 10.  The sequence of disease-modifying therapies in relapsing multiple sclerosis: safety and immunologic considerations.

Authors:  Gabriel Pardo; David E Jones
Journal:  J Neurol       Date:  2017-09-06       Impact factor: 4.849

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