Evidence map›Paper›PMID 20804564›Full record

ArticleAIDS research and therapy2010

HIV-1 V3 envelope deep sequencing for clinical plasma specimens failing in phenotypic tropism assays.

Ina Vandenbroucke, Herwig Van Marck, Wendy Mostmans, Veerle Van Eygen, Evelien Rondelez, Kim Thys, Kurt Van Baelen, Katrien Fransen, Dolores Vaira, Kabamba Kabeya and 6 more

Abstract read
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Article in AIDS research and therapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

18 citing papers in PubMed.

  1. Article
  2. Sanger and Next Generation Sequencing Approaches to Evaluate HIV-1 Virus in Blood Compartments.International journal of environmental research and public health · 2018
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Deep sequencing: becoming a critical tool in clinical virology.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2014
    Review
  8. Article
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  12. 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

16 authors.

Ina VandenbrouckeTibotec-Virco Virology BVBA, Mechelen, Belgium. ivanden3@its.jnj.com.
Herwig Van Marck
Wendy Mostmans
Veerle Van Eygen
Evelien Rondelez
Kim Thys
Kurt Van Baelen
Katrien Fransen
Dolores Vaira
Kabamba Kabeya
Stephane De Wit
Eric Florence
Michel Moutschen
Linos Vandekerckhove
Chris Verhofstede
Lieven J Stuyver

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHIV-1 infected patients for whom standard gp160 phenotypic tropism testing failed are currently excluded from co-receptor antagonist treatment. To provide patients with maximal treatment options, massively parallel sequencing of the envelope V3 domain, in combination with tropism prediction tools, was evaluated as an alternative tropism determination strategy. Plasma samples from twelve HIV-1 infected individuals with failing phenotyping results were available. The samples were submitted to massive parallel sequencing and to confirmatory recombinant phenotyping using a fraction of the gp120 domain.

resultsA cut-off for sequence reads interpretation of 5 to10 times the sequencing error rate (0.2%) was implemented. On average, each sample contained 7 different V3 haplotypes. V3 haplotypes were submitted to tropism prediction algorithms, and 4/14 samples returned with presence of a dual/mixed (D/M) tropic virus, respectively at 3%, 10%, 11%, and 95% of the viral quasispecies. V3 tropism prediction was confirmed by gp120 phenotyping, except for two out of 4 D/M predicted viruses (with 3 and 95%) which were phenotypically R5-tropic. In the first case, the result was discordant due to the limit of detection for the phenotyping technology, while in the latter case the prediction algorithms were not computing the viral tropism correctly.

conclusionsAlthough only demonstrated on a limited set of samples, the potential of the combined use of "deep sequencing + prediction algorithms" in cases where routine gp160 phenotype testing cannot be employed was illustrated. While good concordance was observed between gp120 phenotyping and prediction of R5-tropic virus, the results suggest that accurate prediction of X4-tropic virus would require further algorithm development.

Identifiers

PMID20804564
PMCPMC2834596

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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.