Evidence map›Paper›PMID 30596682›Full record

ArticlePloS one2018

First evaluation of the Next-Generation Sequencing platform for the detection of HIV-1 drug resistance mutations in Belgium.

Géraldine Dessilly, Léonie Goeminne, Anne-Thérèse Vandenbroucke, François E Dufrasne, Anandi Martin, Benoît Kabamba-Mukadi

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Géraldine DessillyUniversité catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium.
Léonie GoeminneUniversité catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium.ORCID 0000-0001-5870-5124
Anne-Thérèse VandenbrouckeUniversité catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium.
François E DufrasneUniversité catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium.
Anandi MartinUniversité catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium.
Benoît Kabamba-MukadiUniversité catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe WHO urges action against the threat posed by HIV drug resistance. It is well known that the sensitivity of Next-Generation Sequencing (NGS) is greater than that of Sanger Sequencing (SS). The objective of this study was to evaluate the performance of the novel NGS HIV-1 drug resistance monitoring system. MATERIALS &

methodsNGS analyses were performed on 67 plasma samples from HIV-1 infected patients using the Sentosa SQ HIV Genotyping Assay from Vela-Dx. This kit was used on a semi-automated Ion Torrent-based platform. Sequences were compared to those obtained by SS. Samples were analysed in the same and in separate runs. Quality controls (QC) were added to control sequencing processes of protease (PRO), reverse transcriptase (RT) and integrase (INT) regions.

resultsOf the 41 analysed samples, 33 (80.5%) had identical drug resistance interpretation reports. Discrepant results were observed for eight samples. Five of them were only detected by NGS and had drug resistance mutations (DRMs) with an allelic frequency below the limit of detection of the SS method (between 6.3 to 20.5%). Two DRMs were only identified using the SS method. The sequences were similar in 98.2% of cases (counting variants as mismatches) and homologous in 99.9% if missed variants. Duplicated samples in a single run were similar in 95.7% (99.9%) of cases. Duplicated samples in two different runs were 98% (100%) homologous. QC results were manually assessed with a score of 340/340 for detection of DRMs in PRO and RT and 100% for INT sequencing.

conclusionsThis is the first preliminary evaluation in Belgium employing the Sentosa SQ HIV Genotyping Assay. The NGS appears to be a promising tool for the detection of DRMs in HIV-1 patients and showed a higher sensitivity compared to SS. Large studies assessing the clinical relevance of low frequency DRMs are needed.

Identifiers

PMID30596682
PMCPMC6312258

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