Evidence map›Paper›PMID 24146352›Full record

ArticleInfection2014

Genotypic testing on HIV-1 DNA as a tool to assess HIV-1 co-receptor usage in clinical practice: results from the DIVA study group.

V Svicher, C Alteri, M Montano, A Nori, R D'Arrigo, M Andreoni, G Angarano, A Antinori, G Antonelli, T Allice and 60 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Next generation sequencing reveals a high frequency of CXCR4 utilizing viruses in HIV-1 chronically infected drug experienced individuals in South Africa.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2018
    Article
  4. Article
  5. Article
  6. 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

70 authors at 20 institutions in 1 country.

V SvicherDepartment of Experimental Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy.
C Alteri
M Montano
A Nori
R D'Arrigo
M Andreoni
G Angarano
A Antinori
G Antonelli
T Allice
P Bagnarelli
F Baldanti
A Bertoli
M Borderi
E Boeri
I Bon
B Bruzzone
R Barresi
S Calderisi
A P Callegaro
M R Capobianchi
F Gargiulo
F Castelli
R Cauda
F Ceccherini-Silberstein
M Clementi
A Chirianni
M Colafigli
A D'Arminio Monforte
A De Luca
A Di Biagio
G Di Nicuolo
G Di Perri
F Di Santo
G Fadda
M Galli
W Gennari
V Ghisetti
A Costantini
A Gori
R Gulminetti
F Leoncini
G Maffongelli
F Maggiolo
R Maserati
F Mazzotta
G Meini
V Micheli
L Monno
C Mussini
S Nozza
S Paolucci
G Palù
S Parisi
G Parruti
A R Pignataro
T Quirino
M C Re
G Rizzardini
M Sanguinetti
R Santangelo
R Scaggiante
G Sterrantino
O Turriziani
M L Vatteroni
C Viscoli
V Vullo
M Zazzi
A Lazzarin
C F Perno
University of Rome Tor Vergata · ITOspedale Policlinico San Martino · ITUniversità Cattolica del Sacro Cuore · ITPoliclinico San Matteo Fondazione · ITLuigi Sacco Hospital · ITSapienza University of Rome · ITUniversity of Bologna · ITUniversity of Padua · ITUniversity of Turin · ITVita-Salute San Raffaele University · ITAzienda Ospedaliero-Universitaria Careggi · ITAzienda Ospedaliero Universitaria Ospedali Riuniti · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITMarche Polytechnic University · ITOspedale D. Cotugno · ITSan Raffaele University of Rome · ITUniversity of Bari Aldo Moro · ITUniversity of Modena and Reggio Emilia · ITUniversity of Siena · ITAzienda Ospedaliera Universitaria Senese · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe have developed a sequencing assay for determining the usage of the genotypic HIV-1 co-receptor using peripheral blood mononuclear cell (PBMC) DNA in virologically suppressed HIV-1 infected patients. Our specific aims were to (1) evaluate the efficiency of V3 sequences in B versus non-B subtypes, (2) compare the efficiency of V3 sequences and tropism prediction using whole blood and PBMCs for DNA extraction, (3) compare the efficiency of V3 sequences and tropism prediction using a single versus a triplicate round of amplification.

resultsThe overall rate of successful V3 sequences ranged from 100 % in samples with >3,000 copies HIV-1 DNA/10(6) PBMCs to 60 % in samples with <100 copies total HIV-1 DNA /10(6) PBMCs. Analysis of 143 paired PBMCs and whole-blood samples showed successful V3 sequences rates of 77.6 % for PBMCs and 83.9 % for whole blood. These rates are in agreement with the tropism prediction obtained using the geno2pheno co-receptor algorithm, namely, 92.1 % with a false-positive rate (FPR) of 10 or 20 % and of 96.5 % with an FPR of 5.75 %. The agreement between tropism prediction values using single versus triplicate amplification was 98.2 % (56/57) of patients using an FPR of 20 % and 92.9 % (53/57) using an FPR of 10 or 5.75 %. For 63.0 % (36/57) of patients, the FPR obtained via the single amplification procedure was superimposable to all three FPRs obtained by triplicate amplification.

conclusionsOur results show the feasibility and consistency of genotypic testing on HIV-1 DNA tropism, supporting its possible use for selecting patients with suppressed plasma HIV-1 RNA as candidates for CCR5-antagonist treatment. The high agreement between tropism prediction by single and triple amplification does not support the use of triplicate amplification in clinical practice.

Indexed as

Viral TropismAdultDNA, ViralFemaleGenotyping TechniquesHIV-1HIV InfectionsHumansMaleMiddle AgedMolecular Diagnostic TechniquesProvirusesReceptors, HIVSequence Analysis, DNAVirus InternalizationDNA, ViralReceptors, HIV

Identifiers

PMID24146352
PMCPMC3906530
OpenAlexW2023967648

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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.