Modeling HIV-1 Within-Host Dynamics After Passive Infusion of the Broadly Neutralizing Antibody VRC01

VRC01 is a broadly neutralizing antibody that targets the CD4 binding site of HIV-1 gp120. Passive administration of VRC01 in humans has assessed the safety and the effect on plasma viremia of this monoclonal antibody (mAb) in a phase 1 clinical trial. After VRC01 infusion, the plasma viral load in...

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Main Authors: E. Fabian Cardozo-Ojeda, Alan S. Perelson
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2021.710012/full
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author E. Fabian Cardozo-Ojeda
Alan S. Perelson
author_facet E. Fabian Cardozo-Ojeda
Alan S. Perelson
author_sort E. Fabian Cardozo-Ojeda
collection DOAJ
description VRC01 is a broadly neutralizing antibody that targets the CD4 binding site of HIV-1 gp120. Passive administration of VRC01 in humans has assessed the safety and the effect on plasma viremia of this monoclonal antibody (mAb) in a phase 1 clinical trial. After VRC01 infusion, the plasma viral load in most of the participants was reduced but had particular dynamics not observed during antiretroviral therapy. In this paper, we introduce different mathematical models to explain the observed dynamics and fit them to the plasma viral load data. Based on the fitting results we argue that a model containing reversible Ab binding to virions and clearance of virus-VRC01 complexes by a two-step process that includes (1) saturable capture followed by (2) internalization/degradation by phagocytes, best explains the data. This model predicts that VRC01 may enhance the clearance of Ab-virus complexes, explaining the initial viral decay observed immediately after antibody infusion in some participants. Because Ab-virus complexes are assumed to be unable to infect cells, i.e., contain neutralized virus, the model predicts a longer-term viral decay consistent with that observed in the VRC01 treated participants. By assuming a homogeneous viral population sensitive to VRC01, the model provides good fits to all of the participant data. However, the fits are improved by assuming that there were two populations of virus, one more susceptible to antibody-mediated neutralization than the other.
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spelling doaj.art-4fea6d4ec5e34bc3ae62cceba36b78002022-12-21T22:48:20ZengFrontiers Media S.A.Frontiers in Immunology1664-32242021-08-011210.3389/fimmu.2021.710012710012Modeling HIV-1 Within-Host Dynamics After Passive Infusion of the Broadly Neutralizing Antibody VRC01E. Fabian Cardozo-Ojeda0Alan S. Perelson1Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United StatesTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, United StatesVRC01 is a broadly neutralizing antibody that targets the CD4 binding site of HIV-1 gp120. Passive administration of VRC01 in humans has assessed the safety and the effect on plasma viremia of this monoclonal antibody (mAb) in a phase 1 clinical trial. After VRC01 infusion, the plasma viral load in most of the participants was reduced but had particular dynamics not observed during antiretroviral therapy. In this paper, we introduce different mathematical models to explain the observed dynamics and fit them to the plasma viral load data. Based on the fitting results we argue that a model containing reversible Ab binding to virions and clearance of virus-VRC01 complexes by a two-step process that includes (1) saturable capture followed by (2) internalization/degradation by phagocytes, best explains the data. This model predicts that VRC01 may enhance the clearance of Ab-virus complexes, explaining the initial viral decay observed immediately after antibody infusion in some participants. Because Ab-virus complexes are assumed to be unable to infect cells, i.e., contain neutralized virus, the model predicts a longer-term viral decay consistent with that observed in the VRC01 treated participants. By assuming a homogeneous viral population sensitive to VRC01, the model provides good fits to all of the participant data. However, the fits are improved by assuming that there were two populations of virus, one more susceptible to antibody-mediated neutralization than the other.https://www.frontiersin.org/articles/10.3389/fimmu.2021.710012/fullvirus dynamicsHIV-1VRC01mathematical modelingODE
spellingShingle E. Fabian Cardozo-Ojeda
Alan S. Perelson
Modeling HIV-1 Within-Host Dynamics After Passive Infusion of the Broadly Neutralizing Antibody VRC01
Frontiers in Immunology
virus dynamics
HIV-1
VRC01
mathematical modeling
ODE
title Modeling HIV-1 Within-Host Dynamics After Passive Infusion of the Broadly Neutralizing Antibody VRC01
title_full Modeling HIV-1 Within-Host Dynamics After Passive Infusion of the Broadly Neutralizing Antibody VRC01
title_fullStr Modeling HIV-1 Within-Host Dynamics After Passive Infusion of the Broadly Neutralizing Antibody VRC01
title_full_unstemmed Modeling HIV-1 Within-Host Dynamics After Passive Infusion of the Broadly Neutralizing Antibody VRC01
title_short Modeling HIV-1 Within-Host Dynamics After Passive Infusion of the Broadly Neutralizing Antibody VRC01
title_sort modeling hiv 1 within host dynamics after passive infusion of the broadly neutralizing antibody vrc01
topic virus dynamics
HIV-1
VRC01
mathematical modeling
ODE
url https://www.frontiersin.org/articles/10.3389/fimmu.2021.710012/full
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