Literature DB >> 21947370

Mechanistic modeling of antigen sink effect for mavrilimumab following intravenous administration in patients with rheumatoid arthritis.

Bing Wang1, Yvonne Y Lau, Meina Liang, Inna Vainshtein, Mikhail Zusmanovich, Hong Lu, Fabio Magrini, Matthew Sleeman, Lorin Roskos.   

Abstract

Mavrilimumab is a fully human monoclonal antibody that binds to granulocyte-macrophage colony stimulating factor receptor α (GM-CSFRα) with high affinity and specificity and has potential application in various inflammatory diseases. The objective of this investigation was to develop a mechanistic population model to characterize the pharmacokinetics of mavrilimumab, the GM-CSFRα-mediated clearance, and receptor occupancy following single intravenous dosing to patients with rheumatoid arthritis. The internalization rate of mavrilimumab-GM-CSFRα complex was fixed to a value determined from quantitative confocal fluorescent imaging. The estimated typical first-order clearance and the central and peripheral distribution volumes were 3.79 mL/kg/d, 39.6 mL/kg, and 50.3 mL/kg, respectively. The systemic GM-CSFRα expression level was estimated to be 0.0782 nM, and the equilibrium dissociation constant (0.103 nM) was in good agreement with the monovalent affinity determined by surface plasmon resonance. By fitting to the observed pharmacokinetic data, the mechanistic model predicted that systemically greater than 90% GM-CSFRα blockade by mavrilimumab was achieved and maintained up to 4, 7, and 11 weeks following single 1-, 3-, and 10-mg/kg administrations, respectively. Posterior visual predictive check and bootstrapping suggest that the mechanistic model is reasonably robust and can be used to predict mavrilimumab exposure under various scenarios for future clinical trial design.

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Year:  2011        PMID: 21947370     DOI: 10.1177/0091270011412964

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  16 in total

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2.  A systems pharmacokinetic/pharmacodynamic model for concizumab to explore the potential of anti-TFPI recycling antibodies.

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Journal:  Pharm Res       Date:  2013-11-05       Impact factor: 4.200

4.  Radioimmunotheranostic Pair Based on the Anti-HER2 Monoclonal Antibody: Influence of Chelating Agents and Radionuclides on Biological Properties.

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Journal:  Pharmaceutics       Date:  2021-06-27       Impact factor: 6.321

5.  Efficacy and safety of mavrilimumab in subjects with rheumatoid arthritis.

Authors:  Gerd R Burmester; Michael E Weinblatt; Iain B McInnes; Duncan Porter; Olga Barbarash; Mykola Vatutin; Istvan Szombati; Ehsanollah Esfandiari; Matthew A Sleeman; Christopher D Kane; Guy Cavet; Bing Wang; Alex Godwood; Fabio Magrini
Journal:  Ann Rheum Dis       Date:  2012-12-12       Impact factor: 19.103

6.  Model-Based Discovery and Development of Biopharmaceuticals: A Case Study of Mavrilimumab.

Authors:  Bing Wang; Chi-Yuan Wu; Denise Jin; Paolo Vicini; Lorin Roskos
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-11-23

7.  Population Pharmacokinetics and Pharmacodynamics of Benralizumab in Healthy Volunteers and Patients With Asthma.

Authors:  B Wang; L Yan; Z Yao; L K Roskos
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-01-21

8.  Dose-escalation of human anti-interferon-α receptor monoclonal antibody MEDI-546 in subjects with systemic sclerosis: a phase 1, multicenter, open label study.

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Journal:  Arthritis Res Ther       Date:  2014-02-24       Impact factor: 5.156

9.  Quantitative measurement of the target-mediated internalization kinetics of biopharmaceuticals.

Authors:  Inna Vainshtein; Lorin K Roskos; Jackie Cheng; Matthew A Sleeman; Bing Wang; Meina Liang
Journal:  Pharm Res       Date:  2014-09-11       Impact factor: 4.200

Review 10.  Key factors influencing ADME properties of therapeutic proteins: A need for ADME characterization in drug discovery and development.

Authors:  Jay Tibbitts; David Canter; Ryan Graff; Alison Smith; Leslie A Khawli
Journal:  MAbs       Date:  2015-12-04       Impact factor: 5.857

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