Nature Microbiology, 10 June, 2025, DOI：https://doi.org/10.1038/s41564-025-02030-7

Viral evolution prediction identifies broadly neutralizing antibodies to existing and prospective SARS-CoV-2 variants

Fanchong Jian, Anna Z. Wec, Leilei Feng, Yuanling Yu, Lei Wang, Peng Wang, Lingling Yu, Jing Wang, Jacob Hou, Daniela Montes Berrueta, Diana Lee, Tessa Speidel, LingZhi Ma, Thu Kim, Ayijiang Yisimayi, Weiliang Song, Jing Wang, Lu Liu, Sijie Yang, Xiao Niu, Tianhe Xiao, Ran An, Yao Wang, Fei Shao, Youchun Wang, Simone Pecetta, Xiangxi Wang, Laura M. Walker & Yunlong Cao Show fewer authors

Abstract

Monoclonal antibodies (mAbs) targeting the SARS-CoV-2 receptor-binding domain 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) to future variants is needed. Here we use deep mutational scanning to predict viral receptor-binding domain evolution and to select for mAbs neutralizing both existing and prospective variants. A retrospective analysis of 1,103 SARS-CoV-2 wild-type-elicited mAbs shows that this method can increase the probability of identifying effective bnAbs to the XBB.1.5 strain from 1% to 40% in an early pandemic set-up. Among these bnAbs, BD55-1205 showed potent activity to all tested variants. Cryogenic electron microscopy structural analyses revealed the receptor mimicry of BD55-1205, explaining its broad reactivity. Delivery of mRNA–lipid nanoparticles encoding BD55-1205-IgG in mice resulted in serum half-maximal neutralizing antibody titre values of ~5,000 to 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.

文章链接：https://www.nature.com/articles/s41564-025-02030-7