Boosting subdominant neutralizing antibody responses with a computationally designed epitope-focused immunogen

利用计算设计的以表位为重点的免疫原增强亚显性中和抗体反应

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作者:Fabian Sesterhenn, Marie Galloux, Sabrina S Vollers, Lucia Csepregi, Che Yang, Delphyne Descamps, Jaume Bonet, Simon Friedensohn, Pablo Gainza, Patricia Corthésy, Man Chen, Stéphane Rosset, Marie-Anne Rameix-Welti, Jean-François Éléouët, Sai T Reddy, Barney S Graham, Sabine Riffault, Bruno E Correia

Abstract

Throughout the last several decades, vaccination has been key to prevent and eradicate infectious diseases. However, many pathogens (e.g., respiratory syncytial virus [RSV], influenza, dengue, and others) have resisted vaccine development efforts, largely because of the failure to induce potent antibody responses targeting conserved epitopes. Deep profiling of human B cells often reveals potent neutralizing antibodies that emerge from natural infection, but these specificities are generally subdominant (i.e., are present in low titers). A major challenge for next-generation vaccines is to overcome established immunodominance hierarchies and focus antibody responses on crucial neutralization epitopes. Here, we show that a computationally designed epitope-focused immunogen presenting a single RSV neutralization epitope elicits superior epitope-specific responses compared to the viral fusion protein. In addition, the epitope-focused immunogen efficiently boosts antibodies targeting the palivizumab epitope, resulting in enhanced neutralization. Overall, we show that epitope-focused immunogens can boost subdominant neutralizing antibody responses in vivo and reshape established antibody hierarchies.

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