Biology subjects

Speidel, T.

Publications and source records attributed to Speidel, T..

3 recordsLinked to original sources

bioRxiv2025

Predictive Modeling of Immune Escape and Antigenic Grouping of SARS-CoV-2 Variants

The ongoing adaptive evolution of SARS-CoV-2 is characterized by the continued emergence of novel variants that escape from previously acquired infection- and/or vaccination-derived immunity. This continued SARS-CoV-2 variant evolution has necessitated annual vaccine updates to better match circulating viral variants. To optimize protection against emerging variants of interest and concern, a reliable means of predicting the immune escape of novel variants is needed to enable at-risk preparation of new vaccines. Herein, we describe the development and applications of a risk calculator that uses statistical modeling to predict the immune escape of emerging variants. The calculator utilizes previously published spike-antibody epitope and escape profiles and in vitro neutralization assessment of a large panel of pseudotyped SARS-CoV-2 variants evaluated against clinical sera. The calculator enables the grouping of antigenically related SARS-CoV-2 variants to guide strain selection for at-risk vaccine design and preparation, in anticipation of potential future requests by the global public health agencies. Here, we demonstrated the strain selection exercises for the XBB.1.5- and JN.1/KP.2-adapted mRNA-1273 COVID-19 vaccines in the 2023-2024 and 2024-2025 seasons, respectively, which were supported by both the risk calculator and preclinical and clinical immunogenicity data and were later recommended by the global public health agencies.

immunology↗

bioRxiv2024

mRNA-1273 vaccines adapted to JN.1 or KP.2 elicit cross-neutralizing responses against the JN.1 sublineages of SARS-CoV-2 in mice

The continued diversification of SARS-CoV-2 omicron lineage has given rise to the JN.1 variant and descendant strains (KP.2, KP.3, and XEC) that have prolonged the JN.1 infection wave. JN.1 and KP.2 show decreased susceptibility to neutralization sera in recipients of XBB.1.5 vaccine boosters, supporting the recent authorization of JN.1- and KP.2-matched mRNA vaccines in the United States, Europe, and other regions. We evaluated the immunogenicity of two updated monovalent variant-containing formulations of mRNA-1273 vaccines encoding the spike protein of the omicron subvariants JN.1 (mRNA-1273.167) and KP.2 (mRNA-1273.712) as compared with the monovalent XBB.1.5 vaccine (mRNA-1273.815). The vaccines were administered either as a two-dose primary series in naive mice or as a booster (third) dose in mice previously immunized with two-dose primary series of mRNA-1273 (ancestral strain). The neutralizing antibody response elicited by these vaccines against JN.1 subvariants (KP.3 and LA.2) and the recombinant strain (XEC), which achieved dominance in the United States during late 2024, was evaluated. Primary series immunization with either JN.1- or KP.2-matched vaccine elicited robust neutralizing antibody titers against the matched strains and effectively cross-neutralized KP.3, LA.2, and XEC, but not the antigenically distant XBB.1.5. Similarly, JN.1- and KP.2-matched vaccines administered as a booster (third) dose increased titers against the corresponding strains and JN.1-related subvariants, but not against XBB.1.5. These data suggest these strains are antigenically similar with relatively few spike differences between JN.1 and KP.2/JN.1-related subvariants. Our results demonstrate the potency of JN.1- and KP.2-containing mRNA-1273 vaccines in neutralizing the matched variants and their utility in cross-neutralizing JN.1-related subvariants KP.3, LA.2, and XEC. Taken together, these data suggest that the licensed JN.1 and KP.2 mRNA vaccines are likely to continue to protect against the emerging strains as the JN.1 lineage further evolves.

immunology↗

bioRxiv2024

A generalized framework to identify SARS-CoV-2 broadly neutralizing antibodies

Monoclonal antibodies (mAbs) targeting the SARS-CoV-2 receptor-binding domain (RBD) are used to treat and prevent COVID-19. However, the rapid evolution of SARS-CoV-2 drives continuous escape from therapeutic mAbs. Therefore, the ability to identify broadly neutralizing antibodies (bnAbs) against future variants is needed. Here, we use deep mutational scanning (DMS) to predict viral RBD evolution and to select for mAbs neutralizing both existing and prospective variants. A retrospective analysis of 1,103 SARS-CoV-2 wildtype-elicited mAbs shows that this method can increase the probability of identifying effective bnAbs against the XBB.1.5 strain from 1% to 40% in an early pandemic setup. Among these bnAbs, BD55-1205 exhibited potent activity against all tested variants. Cryo-EM structural analyses revealed the receptor mimicry of BD55-1205, explaining its broad reactivity. Delivery of mRNA-LNPs encoding BD55-1205-IgG in mice resulted in ~5,000 serum NT50 against XBB.1.5, HK.3.1, and JN.1 variants. Combining bnAb identification using viral evolution prediction with the versatility of mRNA delivery technology can enable rapid development of next-generation antibody-based countermeasures against SARS-CoV-2 and potentially other pathogens with pandemic potential.

immunology↗