COVID-19 Adaptive Humoral Immunity Models: Weakly Neutralizing Versus Antibody-Disease Enhancement Scenarios

Area of Science:

• Virology
• Immunology
• Mathematical Modeling

Background:

• The complex interactions between SARS-CoV-2, host cells, and immune responses remain incompletely understood.
• Antibody-dependent enhancement (ADE) and varying levels of antibody neutralization are critical factors in viral pathogenesis.

Purpose of the Study:

• To develop a formal theoretical model extending basic viral dynamics.
• To differentiate between neutralizing and non-neutralizing antibody scenarios.
• To compare the immunodynamic effects of weak neutralization versus ADE in SARS-CoV-2 infections.

Main Methods:

• Extension of a basic viral dynamics model.
• Formal mathematical approach to describe neutralization and ADE.
• Comparison of theoretical predictions with existing literature data.

Main Results:

• The model demonstrates that both weakly neutralizing antibodies and ADE can result in either viral clearance or disease progression.
• Distinct immunodynamic profiles characterize outcomes driven by weak neutralization versus ADE.
• The theoretical framework aligns with current scientific literature.

Conclusions:

• Understanding the nuances of antibody responses is crucial for predicting SARS-CoV-2 infection trajectories.
• The model provides insights into secondary infections post-vaccination or in immunocompromised individuals.
• Further research into antibody-mediated viral dynamics can inform therapeutic strategies and vaccine development.