Evidence map›Paper›PMID 26068869›Full record

ArticlePloS one2015

HIV-1 Coreceptor Usage Assessment by Ultra-Deep Pyrosequencing and Response to Maraviroc.

Christophe Rodriguez, Cathia Soulié, Anne-Geneviève Marcelin, Vincent Calvez, Diane Descamps, Charlotte Charpentier, Philippe Flandre, Patricia Recordon-Pinson, Pantxika Bellecave, Jean-Michel Pawlotsky and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

12 authors at 6 institutions in 1 country.

Christophe RodriguezNational Reference Center for Viral Hepatitis B, C and delta, Department of Virology; Henri Mondor Hospital, University of Paris-Est, Créteil, France; INSERM U955, Créteil, France.
Cathia SouliéDepartment of Virology, Pitié-Salpêtrière Hospital, Paris, France.
Anne-Geneviève MarcelinDepartment of Virology, Pitié-Salpêtrière Hospital, Paris, France.
Vincent CalvezDepartment of Virology, Pitié-Salpêtrière Hospital, Paris, France.
Diane DescampsDepartment of Virology, Bichat-Claude Bernard Hospital, HUPNVS, Paris, France.
Charlotte CharpentierDepartment of Virology, Bichat-Claude Bernard Hospital, HUPNVS, Paris, France.
Philippe FlandreINSERM U943 UPMC, UMR-S 943, Paris, France.
Patricia Recordon-PinsonDepartment of Virology, University Hospital of Bordeaux and UMR5234, University of Bordeaux, Bordeaux, France.
Pantxika BellecaveDepartment of Virology, University Hospital of Bordeaux and UMR5234, University of Bordeaux, Bordeaux, France.
Jean-Michel PawlotskyNational Reference Center for Viral Hepatitis B, C and delta, Department of Virology; Henri Mondor Hospital, University of Paris-Est, Créteil, France; INSERM U955, Créteil, France.
Bernard MasquelierDepartment of Virology, University Hospital of Bordeaux and UMR5234, University of Bordeaux, Bordeaux, France.
ANRS AC11 Study Group
Bordeaux Population Health · FRAgence Nationale de Recherches sur le Sida et les Hépatites Virales · FRAssistance Publique – Hôpitaux de Paris · FRDepartment of Virology · FRHôpital Bichat-Claude-Bernard · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaraviroc is an HIV entry inhibitor that alters the conformation of CCR5 and is poorly efficient in patients infected by viruses that use CXCR4 as an entry coreceptor. The goal of this study was to assess the capacity of ultra-deep pyrosequencing (UDPS) and different data analysis approaches to characterize HIV tropism at baseline and predict the therapeutic outcome on maraviroc treatment.

methods113 patients with detectable HIV-1 RNA on HAART were treated with maraviroc. The virological response was assessed at months 1, 3 and 6. The sequence of the HIV V3 loop was determined at baseline and prediction of maraviroc response by different software and interpretation algorithms was analyzed.

resultsUDPS followed by analysis with the Pyrotrop software or geno2pheno algorithm provided better prediction of the response to maraviroc than Sanger sequencing. We also found that the H34Y/S substitution in the V3 loop was the strongest individual predictor of maraviroc response, stronger than substitutions at positions 11 or 25 classically used in interpretation algorithms.

conclusionsUDPS is a powerful tool that can be used with confidence to predict maraviroc response in HIV-1-infected patients. Improvement of the predictive value of interpretation algorithms is possible and our results suggest that adding the H34S/Y substitution would substantially improve the performance of the 11/25/charge rule.

Indexed as

AdultAlgorithmsAntiretroviral Therapy, Highly ActiveArea Under CurveCyclohexanesFemaleHigh-Throughput Nucleotide SequencingHIV-1HIV Envelope Protein gp120HIV InfectionsHumansMaleMaravirocMiddle AgedPeptide FragmentsRNA, ViralCyclohexanesHIV Envelope Protein gp120HIV envelope protein gp120 (305-321)MaravirocPeptide FragmentsRNA, ViralTriazoles

Identifiers

PMID26068869
PMCPMC4466260
OpenAlexW1127822632

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.