Schendel Sharon L, Yu Xiaoying, Halfmann Peter J, Mahita Jarjapu, Ha Brendan, Hastie Kathryn M, Li Haoyang, Bedinger Daniel, Troup Camille, Li Kan, Kuzmina Natalia, Torrelles Jordi B, Munt Jennifer E, Maddocks Melissa, Osei-Twum Mary, Callaway Heather M, Reece Stephen, Palser Anne, Kellam Paul, Dennison S Moses, Huntwork Richard H C, Horn Gillian Q, Abraha Milite, Feeney Elizabeth, Martinez-Sobrido Luis, Pino Paula A, Hicks Amberlee, Ye Chengjin, Park Jun-Gyu, Maingot Billie, Periasamy Sivakumar, Mallory Michael, Scobey Trevor, Lepage Marie-Noelle, St-Amant Natalie, Khan Sarwat, Gambiez Anaïs, Baric Ralph S, Bukreyev Alexander, Gagnon Luc, Germann Timothy, Kawaoka Yoshihiro, Tomaras Georgia D, Peters Bjoern, Saphire Erica Ollmann
Center for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA 92037, USA.
Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53711, USA.
Cell Rep. 2025 Apr 22;44(4):115499. doi: 10.1016/j.celrep.2025.115499. Epub 2025 Apr 2.
The Coronavirus Immunotherapeutic Consortium (CoVIC) conducted side-by-side comparisons of over 400 anti-SARS-CoV-2 spike therapeutic antibody candidates contributed by large and small companies as well as academic groups on multiple continents. Nine reference labs analyzed antibody features, including in vivo protection in a mouse model of infection, spike protein affinity, high-resolution epitope binning, ACE-2 binding blockage, structures, and neutralization of pseudovirus and authentic virus infection, to build a publicly accessible dataset in the database CoVIC-DB. High-throughput, high-resolution binning of CoVIC antibodies defines a broad and predictive landscape of antibody epitopes on the SARS-CoV-2 spike protein and identifies features associated with durable potency against multiple SARS-CoV-2 variants of concern and high in vivo efficacy. Results of the CoVIC studies provide a guide for selecting effective and durable antibody therapeutics and for immunogen design as well as providing a framework for rapid response to future viral disease outbreaks.
冠状病毒免疫治疗联盟(CoVIC)对来自各大洲的大、小公司以及学术团体提供的400多种抗SARS-CoV-2刺突蛋白治疗性抗体候选药物进行了并行比较。九个参考实验室分析了抗体特征,包括在感染小鼠模型中的体内保护作用、刺突蛋白亲和力、高分辨率表位分组、ACE-2结合阻断、结构以及对假病毒和真实病毒感染的中和作用,以在数据库CoVIC-DB中建立一个可公开访问的数据集。CoVIC抗体的高通量、高分辨率分组定义了SARS-CoV-2刺突蛋白上抗体表位的广泛且可预测的格局,并确定了与针对多种令人关注的SARS-CoV-2变体的持久效力和高体内疗效相关的特征。CoVIC研究的结果为选择有效且持久的抗体疗法和免疫原设计提供了指导,并为快速应对未来的病毒性疾病爆发提供了框架。