Grace G. Hendricks, Lilit Grigoryan, Mary Jane Navarro, Nicholas J. Catanzaro, Miranda L. Hubbard, John M. Powers, Melissa Mattocks, Catherine Treichel, Alexandra C. Walls, Jimin Lee, Daniel Ellis, Jing Yang (John) Wang, Suna Cheng, Marcos C. Miranda, Adian Valdez, Cara W. Chao, Sidney Chan, Christine Men, Max R. Johnson, Samantha K. Zepeda, Sebastian Ols, Harold Hui, Sheng-Yang Wu, Victor Lujan, Hiromi Muramatsu, Paulo J.C. Lin, Molly M.H. Sung, Ying K. Tam, Elizabeth M. Leaf, Norbert Pardi, Ralph S. Baric, Bali Pulendran, David Veesler, Alexandra Schäfer, Neil P. King
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引用次数: 0
Abstract
Messenger RNA (mRNA) vaccines and computationally designed protein nanoparticle vaccines were both clinically derisked and licensed for the first time during the coronavirus disease 2019 (COVID-19) pandemic. These vaccine modalities have complementary immunological benefits that provide strong motivation for their combination. Here, we demonstrate proof of concept for genetic delivery of computationally designed protein nanoparticle immunogens. Using severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as a model system, we genetically fused a stabilized variant of the Wuhan-Hu-1 spike protein receptor binding domain (RBD) to a protein nanoparticle we previously designed for optimal secretion from human cells. Upon secretion, the nanoparticle formed monodisperse and antigenically intact assemblies displaying 60 copies of the RBD in an immunogenic array. Compared with mRNA vaccines encoding membrane-anchored spike protein and a secreted RBD trimer, an mRNA vaccine encoding the RBD nanoparticle elicited 5- to 28-fold higher titers of neutralizing antibodies in mice. In addition, the “mRNA-launched” RBD nanoparticle vaccine induced higher frequencies of antigen-specific CD8 T cells than the same immunogen delivered as adjuvanted protein and protected mice from either Wuhan-Hu-1 or Omicron BA.5 challenge. These results establish that delivering computationally designed protein nanoparticle immunogens through mRNA can combine the benefits of both vaccine modalities. More broadly, our data highlight the utility of computational protein design in genetic vaccination strategies.
期刊介绍:
Science Translational Medicine is an online journal that focuses on publishing research at the intersection of science, engineering, and medicine. The goal of the journal is to promote human health by providing a platform for researchers from various disciplines to communicate their latest advancements in biomedical, translational, and clinical research.
The journal aims to address the slow translation of scientific knowledge into effective treatments and health measures. It publishes articles that fill the knowledge gaps between preclinical research and medical applications, with a focus on accelerating the translation of knowledge into new ways of preventing, diagnosing, and treating human diseases.
The scope of Science Translational Medicine includes various areas such as cardiovascular disease, immunology/vaccines, metabolism/diabetes/obesity, neuroscience/neurology/psychiatry, cancer, infectious diseases, policy, behavior, bioengineering, chemical genomics/drug discovery, imaging, applied physical sciences, medical nanotechnology, drug delivery, biomarkers, gene therapy/regenerative medicine, toxicology and pharmacokinetics, data mining, cell culture, animal and human studies, medical informatics, and other interdisciplinary approaches to medicine.
The target audience of the journal includes researchers and management in academia, government, and the biotechnology and pharmaceutical industries. It is also relevant to physician scientists, regulators, policy makers, investors, business developers, and funding agencies.