Population Pharmacokinetics of Bepirovirsen in Healthy Participants and Participants with Chronic Hepatitis B Virus Infection: Results from Phase 1, 2a, and 2b Studies

Abstract

Introduction

Bepirovirsen is a novel antisense oligonucleotide in development for chronic hepatitis B virus (HBV) infection therapy. Understanding the impact that clinical characteristics may have on bepirovirsen exposure is important for determining efficacious and well-tolerated dosing regimens. This analysis evaluated demographics and clinical characteristics associated with bepirovirsen exposure using a population pharmacokinetic (PK) analysis.

Methods

Population PK analyses were conducted using pooled data from three phase 1/2 clinical studies (NCT03020745/NCT02981602/NCT04449029) to construct a structural PK model for bepirovirsen that adequately described plasma concentration–time profiles and identify covariates that affect systemic exposure. The final population PK model was used to simulate bepirovirsen exposure measures to inform exposures at different dose levels and within different subpopulations.

Results

Bepirovirsen PK data were well-described by a linear, three-compartment model with first-order absorption and absorption delay. Chronic HBV infection status, body weight, and Asian versus non-Asian race were key covariates included in the final model. Visual inspection of correlation scatter plots confirmed general agreement between observed and predicted data from the studies. In simulations, bepirovirsen systemic exposure was dosed proportionally and predicted to be almost completely washed out by 12 weeks following the final 300-mg dose. Differences in body weight, Asian race, or disease status did not result in clinically relevant differences in exposure.

Conclusions

This analysis demonstrated that the linear three-compartmental model accurately described bepirovirsen PK data. The lack of clinically relevant differences seen in exposure indicate that dose adjustments are not recommended for bepirovirsen based on demographics or clinical characteristics.