Population Pharmacokinetic–B Cell Modeling for Ofatumumab in Patients with Relapsing Multiple Sclerosis

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  • Huixin Yu
  • Gordon Graham
  • Olivier J. David
  • Joseph M. Kahn
  • Marina Savelieva
  • Etienne Pigeolet
  • Ayan Das Gupta
  • Ratnakar Pingili
  • Roman Willi
  • Krishnan Ramanathan
  • Bernd C. Kieseier
  • Dieter A. Häring
  • Morten Bagger
  • Sørensen, Per Soelberg

Background: Ofatumumab, a fully human anti-CD20 monoclonal antibody indicated for the treatment of relapsing forms of multiple sclerosis (RMS), binds to a unique conformational epitope, thereby depleting B cells very efficiently and allowing subcutaneous administration at lower doses. Objectives: The aims were to characterize the relationship between ofatumumab concentration and B cell levels, including the effect of covariates such as body weight, age, or baseline B cell count, and use simulations to confirm the chosen therapeutic dose. Methods: Graphical and regression analyses previously performed based on data from a dose-range finding study provided the B cell depletion target used in the present work. All available adult phase 2/3 data for ofatumumab in RMS patients were pooled to develop a population pharmacokinetics (PK)–B cell count model, using nonlinear mixed-effects modeling. The population PK–B cell model was used to simulate B cell depletion and repletion times and the effect of covariates on PK and B cell metrics, as well as the dose response across a range of subcutaneous ofatumumab monthly doses. Results: The final PK–B cell model was developed using data from 1486 patients. The predetermined B cell target was best achieved and sustained with the 20-mg dose regimen, with median B cell count reaching 8 cells/µL in 11 days and negligible repletion between doses. Only weight had a significant effect on PK, which did not translate into any clinically relevant effect on B cell levels. Conclusion: The PK–B cell modeling confirms the dose chosen for the licensed ofatumumab regimen and demonstrates no requirement for dose adjustment based on adult patient characteristics.

Original languageEnglish
JournalCNS Drugs
Volume36
Issue number3
Pages (from-to)283-300
Number of pages18
ISSN1172-7047
DOIs
Publication statusPublished - 2022

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