Evidence map›Paper›PMID 30467426›Full record

ArticleScientific reports2018

In-depth validation of total HIV-1 DNA assays for quantification of various HIV-1 subtypes.

Sofie Rutsaert, Ward De Spiegelaere, Clarissa Van Hecke, Marie-Angélique De Scheerder, Maja Kiselinova, Karen Vervisch, Wim Trypsteen, Linos Vandekerckhove

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Evaluating lncRNA Expression Patterns during HIV-1 Treatment Interruption.International journal of molecular sciences · 2023
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  17. Measuring the Success of HIV-1 Cure Strategies.Frontiers in cellular and infection microbiology · 2020
    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

8 authors at 2 institutions in 1 country.

Sofie RutsaertHIV Cure Research Center, Department of Internal Medicine, Ghent University, Ghent, Belgium.
Ward De SpiegelaereDepartment of Morphology, Faculty of Veterinary Medicine, Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0003-2097-8439
Clarissa Van HeckeHIV Cure Research Center, Department of Internal Medicine, Ghent University, Ghent, Belgium.
Marie-Angélique De ScheerderHIV Cure Research Center, Department of Internal Medicine, Ghent University, Ghent, Belgium.
Maja KiselinovaDepartment of Internal Medicine, Ghent University, Ghent, Belgium.
Karen VervischHIV Cure Research Center, Department of Internal Medicine, Ghent University, Ghent, Belgium.
Wim TrypsteenHIV Cure Research Center, Department of Internal Medicine, Ghent University, Ghent, Belgium.
Linos VandekerckhoveHIV Cure Research Center, Department of Internal Medicine, Ghent University, Ghent, Belgium. Linos.Vandekerckhove@UGent.be.
Ghent University Hospital · BEGhent University · BE

Funding

Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 1.8.020.09.N.00Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 1S30816NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 1S32916N
6 · The paper itself

Abstract

HIV-1 DNA quantification serves as an important reservoir biomarker in HIV cure trials. However, the high genetic diversity of HIV-1 represented by different subtypes may bring inaccuracy in quantifying HIV-1 DNA and a sensitive and validated assay covering diverse HIV-1 subtypes is lacking. Therefore, we cross-validated total HIV-1 DNA assays described in literature using a three-step comparative analysis. First, a bioinformatics tool was developed in-house to perform an in silico evaluation of 67 HIV-1 DNA assays. Secondly, these selected assays were in vitro validated using a panel of different HIV-1 subtypes and, finally, ex vivo assessed on selected patient samples with different HIV-1 subtypes. Our results show that quantification of HIV-1 DNA substantially differs between assays and we advise five best performing HIV-1 DNA assays for ddPCR and qPCR (Schvachsa_2007, Viard_2004, Heeregrave_2009, Van_der_Sluis_2013, Yu_2008 and Yun_2002). This in-depth analysis of published HIV-1 DNA assays indicates that not all assays guarantee an optimal measurement of HIV-1 DNA, especially when looking across subtypes. Using an in-depth cross-validation, we were able to validate HIV-1 DNA assays that are suitable for quantification of HIV-1 DNA in a wide variety of HIV-1 infected patients.

Indexed as

Computer SimulationDNA, ViralGenetic VariationHIV-1HIV InfectionsHIV Long Terminal RepeatHumansPolymerase Chain ReactionReagent Kits, DiagnosticViral LoadDNA, ViralReagent Kits, Diagnostic

Identifiers

PMID30467426
PMCPMC6250682
OpenAlexW2900850825

What OpenQuestion holds

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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.