Using Computational Modeling To Optimize the Design of Antibodies That Trap Viruses in Mucus

ACS Infectious Diseases
Timothy WesslerSamuel K Lai

Abstract

Immunoglobulin G (IgG) antibodies that trap viruses in cervicovaginal mucus (CVM) via adhesive interactions between IgG-Fc and mucins have recently emerged as a promising strategy to block vaginally transmitted infections. The array of IgG bound to a virus particle appears to trap the virus by making multiple weak affinity bonds to the fibrous mucins that form the mucus gel. However, the antibody characteristics that maximize virus trapping and minimize viral infectivity remain poorly understood. Toward this goal, we developed a mathematical model that takes into account physiologically relevant spatial dimensions and time scales, binding, and unbinding rates between IgG and virions and between IgG and mucins, as well as the respective diffusivities of virions and IgG in semen and CVM. We then systematically explored the IgG-antigen and IgG-mucin binding and unbinding rates that minimize the flux of infectious HIV arriving at the vaginal epithelium. Surprisingly, contrary to common intuition that infectivity would drop monotonically with increasing affinities between IgG and HIV, and between IgG and mucins, our model suggests maximal trapping of HIV and minimal flux of HIV to the epithelium are achieved with IgG molecules that ...Continue Reading

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Citations

Aug 31, 2019·Bulletin of Mathematical Biology·Melanie A JensenScott A McKinley
Nov 16, 2017·Immunology·Kelly B Arnold, Amy W Chung
Mar 4, 2020·Mucosal Immunology·Holly A SchroederSamuel K Lai
Jun 6, 2017·Nanoscale·Jacob Witten, Katharina Ribbeck
Mar 2, 2021·International Journal of Pharmaceutics·Liu LiuXiaoqin Chu
Mar 10, 2020·Acta Biomaterialia·Jennifer L SchillerSamuel K Lai
Jul 28, 2021·Human Vaccines & Immunotherapeutics·Alison Schaefer, Samuel K Lai

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