Evidence map›Paper›PMID 35852143›Full record

ArticleeLife2022

Design of an optimal combination therapy with broadly neutralizing antibodies to suppress HIV-1.

Colin LaMont, Jakub Otwinowski, Kanika Vanshylla, Henning Gruell, Florian Klein, Armita Nourmohammad

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 98% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  12. In vivo evolution of env in SHIV-AD8Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  13. Article
  14. Article
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  16. 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

6 authors at 3 institutions in 3 countries.

Colin LaMontMax Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
Jakub OtwinowskiMax Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
Kanika VanshyllaLaboratory of Experimental Immunology, Institute of Virology Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Henning GruellLaboratory of Experimental Immunology, Institute of Virology Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID 0000-0002-0725-7138
Florian KleinLaboratory of Experimental Immunology, Institute of Virology Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Armita NourmohammadMax Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.ORCID 0000-0002-6245-3553
University of Cologne · DEMax Planck Institute for Dynamics and Self-Organization · DEUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infusion of broadly neutralizing antibodies (bNAbs) has shown promise as an alternative to anti-retroviral therapy against HIV. A key challenge is to suppress viral escape, which is more effectively achieved with a combination of bNAbs. Here, we propose a computational approach to predict the efficacy of a bNAb therapy based on the population genetics of HIV escape, which we parametrize using high-throughput HIV sequence data from bNAb-naive patients. By quantifying the mutational target size and the fitness cost of HIV-1 escape from bNAbs, we predict the distribution of rebound times in three clinical trials. We show that a cocktail of three bNAbs is necessary to effectively suppress viral escape, and predict the optimal composition of such bNAb cocktail. Our results offer a rational therapy design for HIV, and show how genetic data can be used to predict treatment outcomes and design new approaches to pathogenic control.

Indexed as

HIV-1HIV InfectionsAntibodies, NeutralizingBroadly Neutralizing AntibodiesHIV AntibodiesHumansAntibodies, NeutralizingBroadly Neutralizing AntibodiesHIV Antibodiesbroadly neutralizing antibodyevolutionary biologyevolutionary controlHIV combination therapyhumanoptimizationphysics of living systemspopulation geneticsstochastic processesviruses

Identifiers

PMID35852143
PMCPMC9467514
OpenAlexW4226190544

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.