Evidence map›Paper›PMID 29304821›Full record

ArticleRetrovirology2018

Impact of the HIV-1 genetic background and HIV-1 population size on the evolution of raltegravir resistance.

Axel Fun, Thomas Leitner, Linos Vandekerckhove, Martin Däumer, Alexander Thielen, Bernd Buchholz, Andy I M Hoepelman, Elizabeth H Gisolf, Pauline J Schipper, Annemarie M J Wensing and 1 more

Abstract read
In one paragraph

Article in Retrovirology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. The Puzzle of HIV Neutral and Selective Evolution.Molecular biology and evolution · 2018
    Article
  4. Article
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

11 authors.

Axel FunDepartment of Medical Microbiology, Virology, University Medical Center Utrecht, Heidelberglaan 100, HP G04.614, 3584 CX, Utrecht, The Netherlands.
Thomas LeitnerTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA.
Linos VandekerckhoveDepartment of General Internal Medicine and Infectious Diseases, Ghent University Hospital, Ghent, Belgium.
Martin DäumerInstitute of Immunology and Genetics, Kaiserslautern, Germany.
Alexander ThielenMax Planck Institute for Informatics, Saarbrücken, Germany.
Bernd BuchholzPediatric Clinic, University Medical Center Mannheim, Mannheim, Germany.
Andy I M HoepelmanDepartment of Internal Medicine and Infectious Diseases, University Medical Center Utrecht, Utrecht, The Netherlands.
Elizabeth H GisolfDepartment of Internal Medicine, Rijnstate Hospital, Arnhem, The Netherlands.
Pauline J SchipperDepartment of Medical Microbiology, Virology, University Medical Center Utrecht, Heidelberglaan 100, HP G04.614, 3584 CX, Utrecht, The Netherlands.
Annemarie M J WensingDepartment of Medical Microbiology, Virology, University Medical Center Utrecht, Heidelberglaan 100, HP G04.614, 3584 CX, Utrecht, The Netherlands.
Monique NijhuisDepartment of Medical Microbiology, Virology, University Medical Center Utrecht, Heidelberglaan 100, HP G04.614, 3584 CX, Utrecht, The Netherlands. m.nijhuis@umcutrecht.nl.

Funding

Reconstructing HIV Epidemics from HIV PhylogeneticsR01AI087520 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI Thomas K. Leitner · 2010 to 2026
$11.2M
Aids Fonds 2006028Nederlandse Organisatie voor Wetenschappelijk Onderzoek 91796349NIAID NIH HHS R01 AI087520NIH HHS R01AI087520
6 · The paper itself

Abstract

backgroundEmergence of resistance against integrase inhibitor raltegravir in human immunodeficiency virus type 1 (HIV-1) patients is generally associated with selection of one of three signature mutations: Y143C/R, Q148K/H/R or N155H, representing three distinct resistance pathways. The mechanisms that drive selection of a specific pathway are still poorly understood. We investigated the impact of the HIV-1 genetic background and population dynamics on the emergence of raltegravir resistance. Using deep sequencing we analyzed the integrase coding sequence (CDS) in longitudinal samples from five patients who initiated raltegravir plus optimized background therapy at viral loads > 5000 copies/ml. To investigate the role of the HIV-1 genetic background we created recombinant viruses containing the viral integrase coding region from pre-raltegravir samples from two patients in whom raltegravir resistance developed through different pathways. The in vitro selections performed with these recombinant viruses were designed to mimic natural population bottlenecks.

resultsDeep sequencing analysis of the viral integrase CDS revealed that the virological response to raltegravir containing therapy inversely correlated with the relative amount of unique sequence variants that emerged suggesting diversifying selection during drug pressure. In 4/5 patients multiple signature mutations representing different resistance pathways were observed. Interestingly, the resistant population can consist of a single resistant variant that completely dominates the population but also of multiple variants from different resistance pathways that coexist in the viral population. We also found evidence for increased diversification after stronger bottlenecks. In vitro selections with low viral titers, mimicking population bottlenecks, revealed that both recombinant viruses and HXB2 reference virus were able to select mutations from different resistance pathways, although typically only one resistance pathway emerged in each individual culture.

conclusionsThe generation of a specific raltegravir resistant variant is not predisposed in the genetic background of the viral integrase CDS. Typically, in the early phases of therapy failure the sequence space is explored and multiple resistance pathways emerge and then compete for dominance which frequently results in a switch of the dominant population over time towards the fittest variant or even multiple variants of similar fitness that can coexist in the viral population.

Indexed as

Viral LoadAmino Acid SubstitutionAnti-HIV AgentsBiological EvolutionCell LineDrug Resistance, ViralGenetic BackgroundHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHIV IntegraseHIV Integrase InhibitorsHumansPopulation DensityRaltegravir PotassiumRNA, ViralAnti-HIV AgentsHIV IntegraseHIV Integrase InhibitorsRaltegravir PotassiumRNA, Viral

Identifiers

PMID29304821
PMCPMC5755036

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Registered trials

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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.