Evidence map›Paper›PMID 24475178›Full record

ArticlePloS one2014

Prevalence and evolution of low frequency HIV drug resistance mutations detected by ultra deep sequencing in patients experiencing first line antiretroviral therapy failure.

Marie-Anne Vandenhende, Pantxika Bellecave, Patricia Recordon-Pinson, Sandrine Reigadas, Yannick Bidet, Mathias Bruyand, Fabrice Bonnet, Estibaliz Lazaro, Didier Neau, Hervé Fleury and 3 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Diagnosis of Human Immunodeficiency Virus Infection.Clinical microbiology reviews · 2019
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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

13 authors.

Marie-Anne VandenhendeUniversité Bordeaux, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre national de la recherche scientifique, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre Hospitalier Universitaire de Bordeaux, Service de Médecine Interne et Maladies Infectieuses, Hôpital Saint-André, Bordeaux, France ; Université Bordeaux, ISPED, Centre Inserm U897-Epidémiologie-Biostatistique, Bordeaux, France ; Centre Hospitalier Universitaire de Bordeaux, COREVIH Aquitaine, Bordeaux, France.
Pantxika BellecaveUniversité Bordeaux, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre national de la recherche scientifique, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre Hospitalier Universitaire de Bordeaux, Laboratoire de virologie, Bordeaux, France.
Patricia Recordon-PinsonUniversité Bordeaux, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre national de la recherche scientifique, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre Hospitalier Universitaire de Bordeaux, Laboratoire de virologie, Bordeaux, France.
Sandrine ReigadasUniversité Bordeaux, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre national de la recherche scientifique, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre Hospitalier Universitaire de Bordeaux, Laboratoire de virologie, Bordeaux, France.
Yannick BidetCentre Jean Perrin, Plateforme GINA, EA 4677 ERTICa, Clermont-Ferrand, France.
Mathias BruyandCentre Hospitalier Universitaire de Bordeaux, COREVIH Aquitaine, Bordeaux, France ; Institut National de la Santé et de la Recherche Mé dicale, ISPED, Centre Inserm U897-Epidémiologie-Biostatistique, Bordeaux, France.
Fabrice BonnetCentre Hospitalier Universitaire de Bordeaux, Service de Médecine Interne et Maladies Infectieuses, Hôpital Saint-André, Bordeaux, France ; Université Bordeaux, ISPED, Centre Inserm U897-Epidémiologie-Biostatistique, Bordeaux, France ; Centre Hospitalier Universitaire de Bordeaux, COREVIH Aquitaine, Bordeaux, France.
Estibaliz LazaroCentre Hospitalier Universitaire de Bordeaux, Service de Médecine Interne et Maladies Infectieuses, Hôpital Haut-Lévêque, Bordeaux, France.
Didier NeauCentre Hospitalier Universitaire de Bordeaux, Fédération de maladies infectieuses et tropicales, Hôpital Pellegrin, Bordeaux, France.
Hervé FleuryUniversité Bordeaux, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre national de la recherche scientifique, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre Hospitalier Universitaire de Bordeaux, Laboratoire de virologie, Bordeaux, France.
François DabisUniversité Bordeaux, ISPED, Centre Inserm U897-Epidémiologie-Biostatistique, Bordeaux, France ; Centre Hospitalier Universitaire de Bordeaux, COREVIH Aquitaine, Bordeaux, France ; Institut National de la Santé et de la Recherche Mé dicale, ISPED, Centre Inserm U897-Epidémiologie-Biostatistique, Bordeaux, France.
Philippe MorlatCentre Hospitalier Universitaire de Bordeaux, Service de Médecine Interne et Maladies Infectieuses, Hôpital Saint-André, Bordeaux, France ; Université Bordeaux, ISPED, Centre Inserm U897-Epidémiologie-Biostatistique, Bordeaux, France ; Centre Hospitalier Universitaire de Bordeaux, COREVIH Aquitaine, Bordeaux, France.
Bernard MasquelierUniversité Bordeaux, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre national de la recherche scientifique, Microbiologie fondamentale et Pathogé nicité, UMR 5234, Bordeaux, France ; Centre Hospitalier Universitaire de Bordeaux, Laboratoire de virologie, Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesClinical relevance of low-frequency HIV-1 variants carrying drug resistance associated mutations (DRMs) is still unclear. We aimed to study the prevalence of low-frequency DRMs, detected by Ultra-Deep Sequencing (UDS) before antiretroviral therapy (ART) and at virological failure (VF), in HIV-1 infected patients experiencing VF on first-line ART.

methodsTwenty-nine ART-naive patients followed up in the ANRS-CO3 Aquitaine Cohort, having initiated ART between 2000 and 2009 and experiencing VF (2 plasma viral loads (VL) >500 copies/ml or one VL >1000 copies/ml) were included. Reverse transcriptase and protease DRMs were identified using Sanger sequencing (SS) and UDS at baseline (before ART initiation) and VF.

resultsAdditional low-frequency variants with PI-, NNRTI- and NRTI-DRMs were found by UDS at baseline and VF, significantly increasing the number of detected DRMs by 1.35 fold (p<0.0001) compared to SS. These low-frequency DRMs modified ARV susceptibility predictions to the prescribed treatment for 1 patient at baseline, in whom low-frequency DRM was found at high frequency at VF, and 6 patients at VF. DRMs found at VF were rarely detected as low-frequency DRMs prior to treatment. The rare low-frequency NNRTI- and NRTI-DRMs detected at baseline that correlated with the prescribed treatment were most often found at high-frequency at VF.

conclusionLow frequency DRMs detected before ART initiation and at VF in patients experiencing VF on first-line ART can increase the overall burden of resistance to PI, NRTI and NNRTI.

Indexed as

Evolution, MolecularAdultAnti-Retroviral AgentsCohort StudiesDNA PrimersDrug Resistance, ViralFemaleHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHumansMalePrevalenceReverse Transcriptase Polymerase Chain ReactionViral LoadAnti-Retroviral AgentsDNA Primers

Identifiers

PMID24475178
PMCPMC3903565

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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.