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Predicting HIV-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters

The potential of broadly neutralizing antibodies targeting the HIV-1 envelope trimer to prevent HIV-1 transmission has opened new avenues for therapies and vaccines. However, their implementation remains challenging and would profit from a deepened mechanistic understanding of HIV-antibody interacti...

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Autores principales: Brandenberg, Oliver F., Magnus, Carsten, Rusert, Peter, Günthard, Huldrych F., Regoes, Roland R., Trkola, Alexandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417720/
https://www.ncbi.nlm.nih.gov/pubmed/28472201
http://dx.doi.org/10.1371/journal.ppat.1006313
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author Brandenberg, Oliver F.
Magnus, Carsten
Rusert, Peter
Günthard, Huldrych F.
Regoes, Roland R.
Trkola, Alexandra
author_facet Brandenberg, Oliver F.
Magnus, Carsten
Rusert, Peter
Günthard, Huldrych F.
Regoes, Roland R.
Trkola, Alexandra
author_sort Brandenberg, Oliver F.
collection PubMed
description The potential of broadly neutralizing antibodies targeting the HIV-1 envelope trimer to prevent HIV-1 transmission has opened new avenues for therapies and vaccines. However, their implementation remains challenging and would profit from a deepened mechanistic understanding of HIV-antibody interactions and the mucosal transmission process. In this study we experimentally determined stoichiometric parameters of the HIV-1 trimer-antibody interaction, confirming that binding of one antibody is sufficient for trimer neutralization. This defines numerical requirements for HIV-1 virion neutralization and thereby enables mathematical modelling of in vitro and in vivo antibody neutralization efficacy. The model we developed accurately predicts antibody efficacy in animal passive immunization studies and provides estimates for protective mucosal antibody concentrations. Furthermore, we derive estimates of the probability for a single virion to start host infection and the risks of male-to-female HIV-1 transmission per sexual intercourse. Our work thereby delivers comprehensive quantitative insights into both the molecular principles governing HIV-antibody interactions and the initial steps of mucosal HIV-1 transmission. These insights, alongside the underlying, adaptable modelling framework presented here, will be valuable for supporting in silico pre-trial planning and post-hoc evaluation of HIV-1 vaccination or antibody treatment trials.
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spelling pubmed-54177202017-05-14 Predicting HIV-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters Brandenberg, Oliver F. Magnus, Carsten Rusert, Peter Günthard, Huldrych F. Regoes, Roland R. Trkola, Alexandra PLoS Pathog Research Article The potential of broadly neutralizing antibodies targeting the HIV-1 envelope trimer to prevent HIV-1 transmission has opened new avenues for therapies and vaccines. However, their implementation remains challenging and would profit from a deepened mechanistic understanding of HIV-antibody interactions and the mucosal transmission process. In this study we experimentally determined stoichiometric parameters of the HIV-1 trimer-antibody interaction, confirming that binding of one antibody is sufficient for trimer neutralization. This defines numerical requirements for HIV-1 virion neutralization and thereby enables mathematical modelling of in vitro and in vivo antibody neutralization efficacy. The model we developed accurately predicts antibody efficacy in animal passive immunization studies and provides estimates for protective mucosal antibody concentrations. Furthermore, we derive estimates of the probability for a single virion to start host infection and the risks of male-to-female HIV-1 transmission per sexual intercourse. Our work thereby delivers comprehensive quantitative insights into both the molecular principles governing HIV-antibody interactions and the initial steps of mucosal HIV-1 transmission. These insights, alongside the underlying, adaptable modelling framework presented here, will be valuable for supporting in silico pre-trial planning and post-hoc evaluation of HIV-1 vaccination or antibody treatment trials. Public Library of Science 2017-05-04 /pmc/articles/PMC5417720/ /pubmed/28472201 http://dx.doi.org/10.1371/journal.ppat.1006313 Text en © 2017 Brandenberg et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Brandenberg, Oliver F.
Magnus, Carsten
Rusert, Peter
Günthard, Huldrych F.
Regoes, Roland R.
Trkola, Alexandra
Predicting HIV-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters
title Predicting HIV-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters
title_full Predicting HIV-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters
title_fullStr Predicting HIV-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters
title_full_unstemmed Predicting HIV-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters
title_short Predicting HIV-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters
title_sort predicting hiv-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417720/
https://www.ncbi.nlm.nih.gov/pubmed/28472201
http://dx.doi.org/10.1371/journal.ppat.1006313
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