Immunogenicity of NVX-CoV2373 heterologous boost against SARS-CoV-2 variants.
Kirsten E LykeRobert L AtmarClara Dominguez IslasChristine M PosavadMeagan E DemingAngela R BrancheChristine JohnstonHana M El SahlySrilatha EdupugantiMark J MulliganLisa A JacksonRichard E RuppChristina A RostadRhea N ColerMartín BäckerAngelica C KottkampTara M BabuDavid DobrzynskiJudith M MartinRebecca C BradyRobert W FrenckKumaravel RajakumarKaren L KotloffNadine RouphaelDaniel SzydloRahul PaulChoudhuryJanet I ArcherSonja CrandonBrian IngersollAmanda EatonElizabeth R BrownM Juliana McElrathKathleen M NeuzilDavid S StephensDiane J PostBob C LinLeonid SerebryannyyJohn H BeigelDavid C MontefioriPaul C Robertsnull nullPublished in: NPJ vaccines (2023)
As part of a multicenter study evaluating homologous and heterologous COVID-19 booster vaccines, we assessed the magnitude, breadth, and short-term durability of binding and pseudovirus-neutralizing antibody (PsVNA) responses following a single booster dose of NVX-CoV2373 in adults primed with either Ad26.COV2.S, mRNA-1273, or BNT162b2 vaccines. NVX-CoV2373 as a heterologous booster was immunogenic and associated with no safety concerns through Day 91. Fold-rises in PsVNA titers from baseline (Day 1) to Day 29 were highest for prototypic D614G variant and lowest for more recent Omicron sub-lineages BQ.1.1 and XBB.1. Peak humoral responses against all SARS-CoV-2 variants were lower in those primed with Ad26.COV2.S than with mRNA vaccines. Prior SARS CoV-2 infection was associated with substantially higher baseline PsVNA titers, which remained elevated relative to previously uninfected participants through Day 91. These data support the use of heterologous protein-based booster vaccines as an acceptable alternative to mRNA or adenoviral-based COVID-19 booster vaccines. This trial was conducted under ClinicalTrials.gov: NCT04889209.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- coronavirus disease
- binding protein
- saccharomyces cerevisiae
- immune response
- copy number
- clinical trial
- dna damage
- big data
- machine learning
- dna methylation
- electronic health record
- amino acid
- protein protein
- transcription factor
- artificial intelligence
- randomized controlled trial