Background: Respiratory syncytial virus (RSV) can cause serious lung infections in young children and there is currently no available vaccine.
Methods: We used complementary statistical frameworks to analyze 4 RSV serology measurements in mothers and their infants in South Africa who participated in a phase 3 maternal immunization trial of an RSV F protein nanoparticle vaccine as correlates of risk and of protection against different RSV disease endpoints.
Results: We found evidence to support each antibody measurement-encompassing RSV-neutralizing antibodies and F surface glycoprotein-binding antibodies-as an inverse correlate of risk of RSV-associated acute lower respiratory tract infection with severe hypoxia in at least 1 framework, with vaccine-induced fold-rise from the maternal enrollment to day 14 samples of anti-F immunoglobulin G (IgG) binding antibodies having the most consistent evidence. This evidence includes a significant association of fold-rise anti-F IgG with vaccine efficacy (VE); achieving a baseline covariate-adjusted VE of 75% requires a vaccine-induced maternal anti-F IgG fold-rise of around 16. Neither multivariable logistic regression nor superlearning analyses showed benefit to including multiple time points or assays in the same model, suggesting a parsimonious correlate. Post hoc exploratory analyses supported adherence of vaccine-induced maternal anti-F IgG fold-rise to the Prentice criteria for a valid surrogate endpoint.
Conclusions: Our results suggest that the vaccine induced protective anti-F antibody responses. If this finding is confirmed, VE could potentially be augmented by increasing these responses.
Keywords: F glycoprotein; Prentice criteria surrogate endpoint; nonparametric threshold regression; principal stratification causal inference; superlearning.
© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America.