Evidence map›Paper›PMID 34531859›Full record

ArticleFrontiers in immunology2021

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

E Fabian Cardozo-Ojeda, Alan S Perelson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  5. Modelling HIV-1 control and remission.NPJ systems biology and applications · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

E Fabian Cardozo-OjedaVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Alan S PerelsonTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, United States.
Fred Hutch Cancer Center · USLos Alamos National Laboratory · US

Funding

Viral dynamics of rebound and control following early treatment of HIV/SIVP01AI131365 · NIAID · BOSTON COLLEGE · PI WHITNEY, JAMES BURTON · 2017 to 2021
$7.5M
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
Mathematical modeling of optimal therapeutic combinations for HIV cureR01AI150500 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SCHIFFER, JOSHUA TISDELL · 2020 to 2024
$2.3M
NIAID NIH HHS P01 AI131365NIAID NIH HHS R01 AI028433NIAID NIH HHS R01 AI150500NIH HHS R01 OD011095
6 · The paper itself

Abstract

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.

Indexed as

Viral LoadBroadly Neutralizing AntibodiesHIV-1HIV AntibodiesHIV InfectionsHumansLogistic ModelsModels, TheoreticalPhagocytosisRNA, ViralBroadly Neutralizing AntibodiesHIV AntibodiesRNA, ViralHIV-1mathematical modelingODEvirus dynamicsVRC01

Identifiers

PMID34531859
PMCPMC8438300
OpenAlexW3196744449

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.