Evidence map›Paper›PMID 39339898›Full record

ArticleViruses2024

Comparison of Different HIV-1 Resistance Interpretation Tools for Next-Generation Sequencing in Italy.

Daniele Armenia, Luca Carioti, Valeria Micheli, Isabella Bon, Tiziano Allice, Celestino Bonura, Bianca Bruzzone, Fiorenza Bracchitta, Francesco Cerutti, Giovanni Maurizio Giammanco and 16 more

Abstract readComparative Study
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

26 authors.

Daniele ArmeniaDepartmental Faculty, UniCamillus, Saint Camillus International University of Health Sciences, 00131 Rome, Italy.
Luca CariotiDepartment of Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0003-1713-8682
Valeria MicheliLaboratory of Clinical Microbiology, Virology and Bioemergencies, ASST Fatebenefratelli Sacco-University of Milan, 20157 Milan, Italy.ORCID 0000-0001-5629-3875
Isabella BonMicrobiology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.
Tiziano AlliceLaboratory of Microbiology and Virology, Amedeo di Savoia Hospital, 10149 Turin, Italy.
Celestino BonuraDipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROSAMI), Azienda Ospedaliera Universitaria Policlinico "P. Giaccone"-University of Palermo, 90127 Palermo, Italy.
Bianca BruzzoneHygiene Unit, Ospedale Policlinico San Martino, 16132 Genoa, Italy.
Fiorenza BracchittaLaboratory of Clinical Microbiology, Virology and Bioemergencies, ASST Fatebenefratelli Sacco-University of Milan, 20157 Milan, Italy.
Francesco CeruttiLaboratory of Microbiology and Virology, Amedeo di Savoia Hospital, 10149 Turin, Italy.ORCID 0000-0003-0480-8296
Giovanni Maurizio GiammancoDipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROSAMI), Azienda Ospedaliera Universitaria Policlinico "P. Giaccone"-University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-7874-6289
Federica StefanelliHygiene Unit, Ospedale Policlinico San Martino, 16132 Genoa, Italy.
Maria Addolorata BonifacioSection of Experimental and Clinical Pathology, Department of Precision and Regenerative Medicine and Jonic Area, University of Bari, 70121 Bari, Italy.ORCID 0000-0002-9923-8267
Ada BertoliVirology Unit, Polyclinic of "Tor Vergata", 00133 Rome, Italy.
Marialinda VatteroniVirology Unit, AOU Pisana, 56126 Pisa, Italy.
Gabriele IbbaMicrobiology and Virology Unit, Diagnostic Department, AOU Sassari, 07100 Sassari, Italy.
Federica NovazziDepartment of Medicine and Technological Innovation, University of Insubria, 21100 Varese, Italy.ORCID 0000-0002-2741-8840
Maria Rosaria LipsiMicrobiology and Virology Unit, Policlinico Riuniti Foggia Hospital, 71121 Foggia, Italy.
Nunzia CuomoU.O.C. Microbiologia e Virologia, P.O. "D.Cotugno"-AO dei Colli, 80100 Napoli, Italy.
Ilaria VicentiDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-4306-2960
Francesca Ceccherini-SilbersteinDepartment of Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.
Barbara RossettiInfectious Disease Department, USL SUDEST, Toscana, Misericordia Hospital, 58100 Grosseto, Italy.ORCID 0000-0003-1659-9241
Antonia BezenchekIPRO-InformaPRO S.r.l., 00152 Rome, Italy.ORCID 0000-0002-9921-3684
Francesco SaladiniDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-9934-377X
Maurizio ZazziDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-0344-6281
Maria Mercedes SantoroDepartment of Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0002-6228-1114
Italian HIV NGS network and the ARCA Cohort

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNext-generation sequencing (NGS) is gradually replacing Sanger sequencing for HIV genotypic drug resistance testing (GRT). This work evaluated the concordance among different NGS-GRT interpretation tools in a real-life setting.

methodsRoutine NGS-GRT data were generated from viral RNA at 11 Italian laboratories with the AD4SEQ HIV-1 Solution v2 commercial kit. NGS results were interpreted by the SmartVir system provided by the kit and by two online tools (HyDRA Web and Stanford HIVdb). NGS-GRT was considered valid when the coverage was >100 reads (100×) at each PR/RT/IN resistance-associated position listed in the HIVdb 9.5.1 algorithm.

resultsAmong 629 NGS-GRT, 75.2%, 74.2%, and 70.9% were valid according to SmartVir, HyDRA Web, and HIVdb. Considering at least two interpretation tools, 463 (73.6%) NGS-GRT had a valid coverage for resistance analyses. The proportion of valid samples was affected by viremia <10,000-1000 copies/mL and non-B subtypes. Mutations at an NGS frequency >10% showed fair concordance among different interpretation tools.

conclusionThis Italian survey on NGS resistance testing suggests that viremia levels and HIV subtype affect NGS-GRT coverage. Within the current routine method for NGS-GRT, only mutations with frequency >10% seem reliably detected across different interpretation tools.

Indexed as

Drug Resistance, ViralHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsAnti-HIV AgentsGenotypeHumansItalyMutationRNA, ViralAnti-HIV AgentsRNA, Viralbioinformatic interpretation toolsHIV-1 subtypeHIV drug resistanceminority variantsnext-generation sequencingviremia

Identifiers

PMID39339898
PMCPMC11437420

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