1. Brief Report: Prediction of Serum HIV-1 Neutralization Titers After Passive Administration of VRC01
- Author
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Peter B. Gilbert, Lindsay N. Carpp, Robert T. Bailer, Julie E. Ledgerwood, Yunda Huang, Kelly E. Seaton, Lawrence Corey, John R. Mascola, Yuanyuan Zhang, David C. Montefiori, Nicole Grunenberg, and Kenneth H. Mayer
- Subjects
0303 health sciences ,business.industry ,Mean squared prediction error ,Human immunodeficiency virus (HIV) ,030312 virology ,medicine.disease_cause ,Neutralization ,03 medical and health sciences ,Titer ,Infectious Diseases ,Pharmacokinetics ,Neutralization test ,Immunology ,medicine ,Potency ,Pharmacology (medical) ,business ,IC50 - Abstract
BACKGROUND VRC01 is a human IgG1 broadly neutralizing antibody (bnAb) that binds to the HIV-1 envelope glycoprotein. It is being evaluated in two ongoing Phase 2b trials, the first efficacy assessment of a passively-administered bnAb for HIV-1 prevention. HVTN 104 was a phase 1 trial of VRC01. SETTING We measured serum concentrations and serum neutralization of VRC01 in 1079 longitudinal samples collected after passive administration of VRC01 in 84 HVTN 104 participants. As assays for measuring VRC01 serum neutralization titers are resource-intensive, we investigated approaches to predicting such titers. METHODS Serum concentration was measured using an anti-idiotypic ELISA assay. Serum neutralization ID50 titers and in vitro neutralization potency IC50 of the VRC01 clinical lot were measured against Env-pseudoviruses. Three approaches were used to predict serum neutralization ID50 titers based on (1) observed serum concentration divided by IC50, (2) pharmacokinetics model-predicted serum concentration divided by IC50, and (3) joint modeling of the longitudinal serum concentrations and ID50 titers. RESULTS All 3 approaches yielded satisfactory prediction of neutralization titers against viruses of varied sensitivities; the median fold differences (FDs) of observed-over-predicted ID50 titers were between 0.95 and 1.37. Approach 3 generally performed the best with fold differences between 0.95 and 0.99 and
- Published
- 2020
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