Modelling the response to vaccine in non-human primates to define SARS-CoV-2 mechanistic correlates of protection

Primates 0301 basic medicine COVID-19 Vaccines QH301-705.5 [SDV]Life Sciences [q-bio] Science [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS] Funding acquisition Supervision Antibodies, Viral 03 medical and health sciences Neutralization Immunology and Inflammation [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases Validation Animals Humans correlate of protection Biology (General) Vaccines Writing - Conceptualization SARS-CoV-2 Q Methodology R Correlate of protection COVID-19 neutralization vaccines Antibodies, Neutralizing Resources 3. Good health Writing -original draft Writing - Spike Glycoprotein, Coronavirus [SDV.IMM]Life Sciences [q-bio]/Immunology Medicine Project administration Resources Supervision Writing -original draft Writing - Conceptualization Funding acquisition Methodology Project administration Supervision Validation Writing - Angiotensin-Converting Enzyme 2 Project administration
DOI: 10.7554/elife.75427 Publication Date: 2022-07-08T10:00:23Z
ABSTRACT
The definition of correlates protection is critical for the development next-generation SARS-CoV-2 vaccine platforms. Here, we propose a model-based approach identifying mechanistic based on mathematical modelling viral dynamics and data mining immunological markers. application to three different studies in non-human primates evaluating vaccines CD40-targeting, two-component spike nanoparticle mRNA 1273 identifies quantifies two main mechanisms that are decrease rate cell infection an increase clearance infected cells. Inhibition RBD binding ACE2 appears be robust correlate across platforms although not capturing whole biological effect. model shows RBD/ACE2 inhibition represents strong mechanism which required significant reduction blocking potency effectively compromise control replication.
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