Evidence map›Paper›PMID 16849208›Full record

ArticleJournal of the Royal Society, Interface2005

HIV recombination: what is the impact on antiretroviral therapy?

Christophe Fraser

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

35 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
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  10. Sanger and Next Generation Sequencing Approaches to Evaluate HIV-1 Virus in Blood Compartments.International journal of environmental research and public health · 2018
    Article
  11. Article
  12. Clonality and intracellular polyploidy in virus evolution and pathogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  13. Article
  14. Genetic Consequences of Antiviral Therapy on HIV-1.Computational and mathematical methods in medicine · 2015
    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

1 author at 1 institution in 1 country.

Christophe FraserFaculty of Medicine, Imperial College London, Department of Infectious Disease Epidemiology, St Mary's Campus, Norfolk Place, London W2 1PG, UK. c.fraser@imperial.ac.uk
Imperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retroviral recombination is a potential mechanism for the development of multiply drug resistant viral strains but the impact on the clinical outcomes of antiretroviral therapy in HIV-infected patients is unclear. Recombination can favour resistance by combining single-point mutations into a multiply resistant genome but can also hinder resistance by breaking up associations between mutations. Previous analyses, based on population genetic models, have suggested that whether recombination is favoured or hindered depends on the fitness interactions between loci, or epistasis. In this paper, a mathematical model is developed that includes viral dynamics during therapy and shows that population dynamics interact non-trivially with population genetics. The outcome of therapy depends critically on the changes to the frequency of cell co-infection and I review the evidence available. Where recombination does have an effect on therapy, it is always to slow or even halt the emergence of multiply resistant strains. I also find that for patients newly infected with multiply resistant strains, recombination can act to prevent reversion to wild-type virus. The analysis suggests that treatment targeted at multiple parts of the viral life-cycle may be less prone to drug resistance due to the genetic barrier caused by recombination but that, once selected, mutants resistant to such regimens may be better able to persist in the population.

Indexed as

Anti-HIV AgentsAntiretroviral Therapy, Highly ActiveComputer SimulationDrug Resistance, ViralGenetics, PopulationHIVHIV InfectionsModels, GeneticRecombination, GeneticVirus ReplicationAnti-HIV Agents

Identifiers

PMID16849208
PMCPMC1618498
OpenAlexW1966522287

What OpenQuestion holds

Textmetadata
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.