Back

Establishment of natural antibodies during primary dengue infection

Verdonckt, T.-W.; Vermeersch, A.-S.; Struyfs, C.; Sahulcik, M.; Van Nieuwerburgh, F.; Waickman, A.; Lagatie, O.; Arien, K. K.

2025-08-13 allergy and immunology
10.1101/2025.08.09.25333157 medRxiv
Show abstract

Dengue virus (DENV) poses a major global health burden, with limited vaccine availability and concerns that immunization of dengue-naive individuals may exacerbate disease severity due to antibody-dependent enhancement. This challenge highlights the need for deeper insight into primary immune responses. Using a controlled human challenge model, we conducted a longitudinal analysis of B-cell receptor repertoire dynamics during primary DENV1 infection. Our study reveals that the acute-phase response is dominated by memory-derived B-cell clones, indicating pre-existing cross-reactive immunity. Concurrently, we identified highly public, convergent B-cell clones arising from naive B cells, characterized by shared sequence features across individuals. These clones exhibit atypical maturation kinetics: while they switch to the IgG isotype during the convalescent phase, they retain germline-like sequences with limited somatic hypermutation. This suggests that affinity maturation is delayed compared to canonical responses. Our findings provide mechanistic context for previous reports of natural antibody responses in dengue and refine current models of how neutralizing and potentially enhancing antibodies emerge following primary infection. By resolving the timing and origin of early B-cell responses, this work contributes to a more precise framework for understanding flavivirus immunity. These insights may guide vaccine design strategies that aim to elicit protective immunity without enhancing the risk of severe disease. One Sentence SummaryPrimary DENV1 infection elicits convergent clones that undergo atypical maturation.

Matching journals

The top 4 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.