Evidence map›Paper›PMID 28186189›Full record

ArticleScientific reports2017

Performance comparison of next-generation sequencing platforms for determining HIV-1 coreceptor use.

Stéphanie Raymond, Florence Nicot, Nicolas Jeanne, Olivier Delfour, Romain Carcenac, Caroline Lefebvre, Michelle Cazabat, Karine Sauné, Pierre Delobel, Jacques Izopet

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 4 institutions in 1 country.

Stéphanie RaymondINSERM, U1043, Toulouse, F-31300, France.
Florence NicotCHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300, France.
Nicolas JeanneCHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300, France.
Olivier DelfourCHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300, France.
Romain CarcenacCHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300, France.
Caroline LefebvreCHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300, France.
Michelle CazabatINSERM, U1043, Toulouse, F-31300, France.
Karine SaunéINSERM, U1043, Toulouse, F-31300, France.
Pierre DelobelINSERM, U1043, Toulouse, F-31300, France.
Jacques IzopetINSERM, U1043, Toulouse, F-31300, France.
Centre Hospitalier Universitaire de Toulouse · FRUniversité Toulouse III - Paul Sabatier · FRHôpital Purpan · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coreceptor used by HIV-1 must be determined before a CCR5 antagonist, part of the arsenal of antiretroviral drugs, is prescribed because viruses that enter cells using the CXCR4 coreceptor are responsible for treatment failure. HIV-1 tropism is also correlated with disease progression and so must be determined for virological studies. Tropism can be determined by next-generation sequencing (NGS), but not all of these new technologies have been fully validated for use in clinical practice. The Illumina NGS technology is used in many laboratories but its ability to predict HIV-1 tropism has not been evaluated while the 454 GS-Junior (Roche) is used for routine diagnosis. The genotypic prediction of HIV-1 tropism is based on sequencing the V3 region and interpreting the results with an appropriate algorithm. We compared the performances of the MiSeq (Illumina) and 454 GS-Junior (Roche) systems with a reference phenotypic assay. We used clinical samples for the NGS tropism predictions and assessed their ability to quantify CXCR4-using variants. The data show that the Illumina platform can be used to detect minor CXCR4-using variants in clinical practice but technical optimization are needed to improve quantification.

Indexed as

Base SequenceHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHumansMutationPhenotypeReceptors, CXCR4Receptors, HIVViral TropismCXCR4 protein, humanReceptors, CXCR4Receptors, HIV

Identifiers

PMID28186189
PMCPMC5301480
OpenAlexW2587481026

What OpenQuestion holds

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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.