EBioMedicine (Jul 2023)

Pharmacokinetic serum concentrations of VRC01 correlate with prevention of HIV-1 acquisitionResearch in context

  • Kelly E. Seaton,
  • Yunda Huang,
  • Shelly Karuna,
  • Jack R. Heptinstall,
  • Caroline Brackett,
  • Kelvin Chiong,
  • Lily Zhang,
  • Nicole L. Yates,
  • Mark Sampson,
  • Erika Rudnicki,
  • Michal Juraska,
  • Allan C. deCamp,
  • Paul T. Edlefsen,
  • James I. Mullins,
  • Carolyn Williamson,
  • Raabya Rossenkhan,
  • Elena E. Giorgi,
  • Avi Kenny,
  • Heather Angier,
  • April Randhawa,
  • Joshua A. Weiner,
  • Michelle Rojas,
  • Marcella Sarzotti-Kelsoe,
  • Lu Zhang,
  • Sheetal Sawant,
  • Margaret E. Ackerman,
  • Adrian B. McDermott,
  • John R. Mascola,
  • John Hural,
  • M. Julianna McElrath,
  • Philip Andrew,
  • Jose A. Hidalgo,
  • Jesse Clark,
  • Fatima Laher,
  • Catherine Orrell,
  • Ian Frank,
  • Pedro Gonzales,
  • Srilatha Edupuganti,
  • Nyaradzo Mgodi,
  • Lawrence Corey,
  • Lynn Morris,
  • David Montefiori,
  • Myron S. Cohen,
  • Peter B. Gilbert,
  • Georgia D. Tomaras

Journal volume & issue
Vol. 93
p. 104590

Abstract

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Summary: Background: The phase 2b proof-of-concept Antibody Mediated Prevention (AMP) trials showed that VRC01, an anti-HIV-1 broadly neutralising antibody (bnAb), prevented acquisition of HIV-1 sensitive to VRC01. To inform future study design and dosing regimen selection of candidate bnAbs, we investigated the association of VRC01 serum concentration with HIV-1 acquisition using AMP trial data. Methods: The case–control sample included 107 VRC01 recipients who acquired HIV-1 and 82 VRC01 recipients who remained without HIV-1 during the study. We measured VRC01 serum concentrations with a qualified pharmacokinetic (PK) Binding Antibody Multiplex Assay. We employed nonlinear mixed effects PK modelling to estimate daily-grid VRC01 concentrations. Cox regression models were used to assess the association of VRC01 concentration at exposure and baseline body weight, with the hazard of HIV-1 acquisition and prevention efficacy as a function of VRC01 concentration. We also compared fixed dosing vs. body weight-based dosing via simulations. Findings: Estimated VRC01 concentrations in VRC01 recipients without HIV-1 were higher than those in VRC01 recipients who acquired HIV-1. Body weight was inversely associated with HIV-1 acquisition among both placebo and VRC01 recipients but did not modify the prevention efficacy of VRC01. VRC01 concentration was inversely correlated with HIV-1 acquisition, and positively correlated with prevention efficacy of VRC01. Simulation studies suggest that fixed dosing may be comparable to weight-based dosing in overall predicted prevention efficacy. Interpretation: These findings suggest that bnAb serum concentration may be a useful marker for dosing regimen selection, and operationally efficient fixed dosing regimens could be considered for future trials of HIV-1 bnAbs. Funding: Was provided by the National Institutes of Health, National Institute of Allergy and Infectious Diseases (NIAID) (UM1 AI068614, to the HIV Vaccine Trials Network [HVTN]; UM1 AI068635, to the HVTN Statistical Data and Management Center [SDMC], Fred Hutchinson Cancer Center [FHCC]; 2R37 054165 to the FHCC; UM1 AI068618, to HVTN Laboratory Center, FHCC; UM1 AI068619, to the HPTN Leadership and Operations Center; UM1 AI068613, to the HIV Prevention Trials Network [HPTN] Laboratory Center; UM1 AI068617, to the HPTN SDMC; and P30 AI027757, to the Center for AIDS Research, Duke University (AI P30 AI064518) and University of Washington (P30 AI027757) Centers for AIDS Research; R37AI054165 from NIAID to the FHCC; and OPP1032144 CA-VIMC Bill & Melinda Gates Foundation.

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