Fixed dosing versus weight-based dosing of HIV-1 prophylactic monoclonal antibodies in adults: a post-hoc, cross-protocol pharmacokinetics modelling study
- PMID: 40516378
- PMCID: PMC12205768
- DOI: 10.1016/j.ebiom.2025.105804
Fixed dosing versus weight-based dosing of HIV-1 prophylactic monoclonal antibodies in adults: a post-hoc, cross-protocol pharmacokinetics modelling study
Abstract
Background: Pharmacokinetic (PK) modelling and simulations have been used to support label changes of dosing levels or strategies for multiple marketed therapeutic monoclonal antibodies (mAbs). Using data from early-phase clinical trials in adults without HIV-1, we compared fixed and weight-based dosing strategies for three HIV-1 broadly neutralising mAbs planned for prevention efficacy evaluation: PGDM1400LS, PGT121.414.LS, and VRC07-523LS.
Methods: We used a two-compartment population PK model to describe overall trends and inter-individual variability in post-administration serum concentrations over time from individuals administered PGDM1400LS (n = 95), PGT121.414.LS (n = 113), or VRC07-523LS (n = 251) subcutaneously or intravenously. We evaluated the effect of body weight on various PK parameters, including clearance rate, and simulated mAb concentrations after fixed and weight-based dosing administrations using sex-specific weights observed in participants from two recent HIV-1 mAb efficacy trials. We compared magnitudes and inter-individual variabilities of concentrations at specific post-administration timepoints, areas under the time-concentration curves (AUC), and predicted neutralisation titres against representative HIV-1 virus strains.
Findings: For all three mAbs, we observed a modest effect of body weight on clearance rate and volumes of the central and peripheral compartments. The population-level magnitude and variability in time-specific concentrations, AUC, and predicted neutralisation titres were comparable between the two dosing strategies for both sexes. The relationship between body weight and concentrations differed between the two dosing strategies with a positive correlation for weight-based dosing and a negative correlation for fixed dosing. For individuals with body weight below the 15th or above the 85th percentiles, fixed dosing resulted in <3% difference in median AUC compared to the overall population. For lower weight individuals, fixed dosing improved AUC, potentially correcting the underdosing seen in the previous weight-based mAb efficacy trials. For higher weight individuals (e.g., >100 kg), body weight-based dosing or a higher fixed dose may be preferred.
Interpretation: For HIV-1 prophylactic mAbs, a fixed-dose approach, possibly banded by weight categories may be advantageous over weight-based dosing, as it offers increased operational efficiency while maintaining comparable pharmacokinetics and inter-individual consistency.
Funding: NIAID.
Keywords: Dosing strategy; Exponent of body weight; HIV prevention; Population pharmacokinetics model; Two-compartment; Variability in exposure.
Copyright © 2025 The Author(s). Published by Elsevier B.V. All rights reserved.
Conflict of interest statement
Declaration of interests SRW has received institutional grants or contracts from Sanofi Pasteur, Janssen Vaccines/Johnson & Johnson, Moderna Tx, Pfizer, Vir Biotechnology, AbbVie, and Worcester HIV Vaccine (WHV); has participated on data safety monitoring or advisory boards for Janssen Vaccines/Johnson & Johnson and BioNTech; and his spouse holds stock/stock options in Regeneron Pharmaceuticals. CFK has received research grants to her institution from Gilead Sciences, Viiv, Moderna, Novavax, and Humanigen. YH received payments made to her institution by the NIH/NIAID and WHO, and payments to her from WHV. LZ received payments to her institution from NIH/NIAID and for travel. KES received payments to her institution by the NIH/NIAID and for travel. TG received payments to institution from NIAID/NIDA/NIMH/NICHD. STR payments to his institution by the NIH/NIAID. SE received grants from NIH and Sanofi to her institution and participants on the SMB of Viiv. DD received payments made to her institution by the NIH/NIAID and Gates Foundation. MSC received payments to his institution by HPTN and consulting fees from Aerium, AstraZeneca, Atea, GlaxoSmithKline, Merck, ModeX, and Opko Pharma. LC reports grants made to his institution by NIH/NIAID. PBG reports grants made to his institution and travel support from NIH/NIAID. GDT reports NIH and Gates Foundation grants to her institution. The consortia were funded by the NIH/NIAID.
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