Back

Antigenic cartography using hamster sera identifies SARS-CoV-2 JN.1 evasion seen in human XBB.1.5 booster sera

WANG, W.; Bhushan, G. L.; Paz, S.; Stauft, C. B.; Selvaraj, P.; Goguet, E.; Bishop-Lilly, K. A.; Subramanian, R.; Vassell, R.; Lusvarghi, S.; Cong, Y.; Agan, B.; Richard, S. A.; Epsi, N.; Fries, A.; Fung, C. K.; Conte, M.; Holbrook, M.; Wang, T. T.; Burgess, T. H.; Mitre, E.; Pollett, S.; Katzelnick, L.; Weiss, C. D.

2024-04-06 microbiology
10.1101/2024.04.05.588359 bioRxiv
Show abstract

Antigenic assessments of SARS-CoV-2 variants inform decisions to update COVID-19 vaccines. Primary infection sera are often used for assessments, but such sera are rare due to population immunity from SARS-CoV-2 infections and COVID-19 vaccinations. Here, we show that neutralization titers and breadth of matched human and hamster pre-Omicron variant primary infection sera correlate well and generate similar antigenic maps. The hamster antigenic map shows modest antigenic drift among XBB sub-lineage variants, with JN.1 and BA.4/BA.5 variants within the XBB cluster, but with five to six-fold antigenic differences between these variants and XBB.1.5. Compared to sera following only ancestral or bivalent COVID-19 vaccinations, or with post-vaccination infections, XBB.1.5 booster sera had the broadest neutralization against XBB sub-lineage variants, although a five-fold titer difference was still observed between JN.1 and XBB.1.5 variants. These findings suggest that antibody coverage of antigenically divergent JN.1 could be improved with a matched vaccine antigen.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.