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Open access Jul 2026

Biomarkers of protection against controlled human SARS-CoV-2 Delta variant breakthrough infection

Background Improved understanding of how variants cause breakthrough infection, despite pre-existing immunity, is needed to advance development of next-generation SARS-CoV-2 vaccines, including those that may provide cross-variant protection or block transmission. SARS-CoV-2 controlled human infection models (CHIMs) may therefore identify correlates of protection and accelerate the development of new interventions. Methods Healthy vaccinated adults aged 18-30 years were inoculated intranasally in a stepwise dose-escalation CHIM with doses from 1x102 TCID50 to 1x106 TCID50 of SARS-CoV-2 Delta variant. Within the 1x106 TCID50 group, participants were selected for serum neutralising antibody titres (NT50) less than or equal to 1:80. Post-inoculation, participants were quarantined for up to 14 days. Outpatient follow-up continued for 12 months. The primary aim was to elicit safe, well-tolerated Delta SARS-CoV-2 breakthrough infection at a rate of over 50%. Findings Forty-six participants were inoculated; 22 during dose-escalation with no resultant infections, and 24 at the highest dose, of whom 18 were screened for low serum neutralising antibodies. Sustained infection with mild-to-moderate symptoms occurred in 33% (6/18) of the sero-selected group, with highly variable viral loads, viral emissions and symptoms. Serum neutralising antibody, anti-N IgG and to a lesser extent, mucosal anti-S IgA and N-specific T cells most strongly predicted protection from virologically-defined infection. Higher neutralisation, serum and nasal anti-N IgG level, and N-specific T cell responses correlated with lower viral load, while baseline nasal anti-S IgA was associated with lower symptom scores. Transient infection was additionally observed in 6 participants and was associated with higher baseline N-specific T cell responses than those that developed sustained infection. Interpretation Susceptibility to SARS-CoV-2 breakthrough infection in those with hybrid immunity is strongly associated with low levels of pre-existing antibody, but the diversity of immune markers associated with protection implies that additional benefits may be conferred by multi-pronged immunity.

A. Singanayagam, H. Wagstaffe, L. J. Slater et al. · 0 citations
#protein folding Open access Aug 2026

Reconciliation of titer differences between SARS-CoV-2 neutralizing antibody assays

ABSTRACT SARS-CoV-2 antibody neutralization is a correlate of protection for COVID-19 and has been used to guide public health decisions. However, there is no standard neutralization assay, and absolute titers differ between assays. To investigate mechanisms causing these absolute titer differences, we compared 28 samples with three assays: a live virus cytopathic effect (CPE)-based microneutralization assay, a live virus focus reduction (immunospot, IS) assay, and a pseudotyped virus luciferase expression reduction (pseudovirus, PV) assay. We found significant correlations between all assays (ρ > 0.95 and P < 0.0001 for all pairwise comparisons), but also significant differences in absolute titers by assay (paired t-tests P < 0.001). IS and PV assays that assess neutralization as the titer required to reduce foci/luminescence by 50% had the smallest difference, with 1.2-fold higher IS assay titers (95% confidence interval, CI: 1.2–1.2). CPE assay titers were 5.5-fold lower (95% CI: 5.4–5.5) than in the IS assay. We show that these differences can be explained (i) by accounting for the size of inoculum being neutralized (half the infectious virions in the IS and PV assays, “per virion,” and the entire inoculum half the time in the CPE assay, “per well”) and (ii) by removing serum during the 5-day culture in the CPE assay (so serum can only neutralize the inoculum, rather than acting on the inoculum and slowing viral growth during culture). These findings highlight areas for more precise and harmonized terminology and particular assay elements that must be considered in efforts to harmonize neutralization assays. IMPORTANCE Protection against COVID-19 is related to how well serum antibodies neutralize SARS-CoV-2. This neutralization can be assessed using different assays, which often provide significantly different estimates. To better understand why assay results vary, we compared three commonly used types of neutralization assay. We found both strong correlations and significant differences in measured neutralization between the different assays. Differences in the type of virus (live SARS-CoV-2 virus compared to a pseudotyped virus with SARS-CoV-2 spike protein), how long cells, virus, and antibody were allowed to interact, and whether neutralization of a batch of virions (“per well” neutralization) or individual infectious virions (“per virion”) was measured, all impacted virus neutralization. Understanding which factors have the largest impact on the differences between neutralization assays is an important first step toward harmonization of neutralization assays across the field. Protection against COVID-19 is related to how well serum antibodies neutralize SARS-CoV-2. This neutralization can be assessed using different assays, which often provide significantly different estimates. To better understand why assay results vary, we compared three commonly used types of neutralization assay. We found both strong correlations and significant differences in measured neutralization between the different assays. Differences in the type of virus (live SARS-CoV-2 virus compared to a pseudotyped virus with SARS-CoV-2 spike protein), how long cells, virus, and antibody were allowed to interact, and whether neutralization of a batch of virions (“per well” neutralization) or individual infectious virions (“per virion”) was measured, all impacted virus neutralization. Understanding which factors have the largest impact on the differences between neutralization assays is an important first step toward harmonization of neutralization assays across the field.

E. Stadler, F. Mordant, Matthew J. Gartner et al. · 0 citations