No abstract

IntroductionNeutralizing antibodies (NAbs) have been recognized as surrogates of protection against SARS-CoV-2; however, the emergence of variants/subvariants escaping neutralization suggests that laboratory assessments of NAbs against the ancestral/wild type (WT) antigens likely overestimate the degree of protection.MethodsA novel flow cytometry-based multiplex test system was developed for the simultaneous detection of NAbs of multiple SARS-CoV-2 variants. SARS-CoV-2 antibodies (Abs) including IgG, IgM, IgA isotypes were measured in the same system. Samples from negative, convalesced, vaccinated, boosted, and breakthrough infection (BTI) populations were tested for both NAbs and Abs.ResultsNAbs induced by WT showed neutralization activity that correlated strongly to all variants (R2 > 0.85) except omicron BA.1/BA.2 (R2 <0.50). Two doses of vaccine elicited very little protective immunity against BA.1/BA.2, though a booster dose significantly improved NAbs for all variants. NAbs/Abs increased more following BTI than after a booster, suggesting that hybrid immunity (vaccination + natural immunity) was more robust to all variants including BA.1/BA.2. BTIs occurring in the omicron era led to stronger NAb responses against BA.1/BA.2 than did older BTIs. In all comparisons, the RBD antigens demonstrated greater differences between WT and BA.1/BA.2 than the spike antigens.DiscussionTaken together, we demonstrated that both Ab and NAb against multiple SARS-CoV-2 variants/subvariants can be reliably detected on the same multiplex platform. Distinguishing NAbs to the appropriate antigenic target of prevalent variants offers the best correlate of protection and aids individual decisions about the appropriateness and cadence of vaccine boosters and other exposure mitigation strategies.

Compelling evidence continues to build to support the idea that SARS-CoV-2 Neutralizing Antibody (NAb) levels in an individual can serve as an important indicator of the strength of protective immunity against infection. It is not well understood why NAb levels in some individuals remain high over time, while in others levels decline rapidly. In this work, we present a two-population mathematical model of within-host NAb dynamics in response to vaccination. By fitting only four host-specific parameters, the model is able to capture individual-specific NAb levels over time as measured by the AditxtScore™ for NAbs. The model can serve as a foundation for predicting NAb levels in the long-term, understanding connections between NAb levels, protective immunity, and break-through infections, and potentially guiding decisions about whether and when a booster vaccination may be warranted.