A self-amplifying RNA vaccine prevents enterovirus D68 infection and disease in preclinical models.
Nikole L WarnerJacob ArcherStephanie ParkGarima SinghKathryn M McFaddenTaishi KimuraKatrina NicholesAdrian SimpsonJason T KaelberDavid W HawmanHeinrich FeldmannAmit P KhandharPeter BerglundMatthew R VogtJesse H ErasmusPublished in: Science translational medicine (2024)
The recent emergence and rapid response to severe acute respiratory syndrome coronavirus 2 was enabled by prototype pathogen and vaccine platform approaches, driven by the preemptive application of RNA vaccine technology to the related Middle East respiratory syndrome coronavirus. Recently, the National Institutes of Allergy and Infectious Diseases identified nine virus families of concern, eight enveloped virus families and one nonenveloped virus family, for which vaccine generation is a priority. Although RNA vaccines have been described for a variety of enveloped viruses, a roadmap for their use against nonenveloped viruses is lacking. Enterovirus D68 was recently designated a prototype pathogen within the family Picornaviridae of nonenveloped viruses because of its rapid evolution and respiratory route of transmission, coupled with a lack of diverse anti-enterovirus vaccine approaches in development. Here, we describe a proof-of-concept approach using a clinical stage RNA vaccine platform that induced robust enterovirus D68-neutralizing antibody responses in mice and nonhuman primates and prevented upper and lower respiratory tract infections and neurological disease in mice. In addition, we used our platform to rapidly characterize the antigenic diversity within the six genotypes of enterovirus D68, providing the necessary data to inform multivalent vaccine compositions that can elicit optimal breadth of neutralizing responses. These results demonstrate that RNA vaccines can be used as tools in our pandemic-preparedness toolbox for nonenveloped viruses.
Keyphrases
- respiratory syndrome coronavirus
- sars cov
- infectious diseases
- respiratory tract
- coronavirus disease
- high throughput
- metabolic syndrome
- candida albicans
- electronic health record
- stem cells
- deep learning
- nucleic acid
- quality improvement
- bone marrow
- mouse model
- insulin resistance
- artificial intelligence
- single cell
- blood brain barrier
- atopic dermatitis
- wild type