Literature DB >> 29444253

HIV-1 genotypic resistance testing using the Vela automated next-generation sequencing platform.

Stéphanie Raymond1,2, Florence Nicot2, Romain Carcenac2, Caroline Lefebvre2, Nicolas Jeanne2, Karine Saune1,2, Pierre Delobel1,3,4, Jacques Izopet1,2.   

Abstract

Objectives: To evaluate the diagnostic performance of the Vela next-generation sequencing (NGS) system in conjunction with the Sentosa SQ HIV Genotyping Assay for genotyping HIV-1.
Methods: Plasma RNA was extracted and templates prepared with the Sentosa SX instrument before sequencing the HIV-1 polymerase on the Sentosa SQ301 Sequencer (PGM IonTorrent). The Vela NGS System was compared with direct sequencing and the 454 GS-FLX (Roche) and MiSeq (Illumina) systems for genotypic resistance testing on clinical samples.
Results: The Vela NGS system detected majority resistance mutations in subtype B and CRF02-AG samples at 500 copies/mL and minority variants with a sensitivity of 5% at 100 000 copies/mL. The Vela NGS system and direct sequencing identified resistance mutations with 97% concordance in 46 clinical samples. Vela identified 1/20 of the 1%-5% mutations identified by 454, 5/12 of the 5%-20% mutations and 60/61 of the >20% mutations. Vela identified 3/14 of the 1%-5% mutations identified by MiSeq, 0/2 of the 5%-20% mutations and 47/47 of the >20% mutations. The resistance mutation quantifications by Vela and 454 were concordant (bias: 2.31%), as were those by Vela and MiSeq (bias: 1.06%). Conclusions: The Vela NGS system provides automated nucleic acid extraction, PCR reagent distribution, library preparation and bioinformatics analysis. The analytical performance was very good when compared with direct sequencing, but was less sensitive than two other NGS platforms for detecting minority variants.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29444253     DOI: 10.1093/jac/dky003

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  6 in total

1.  HIV-1 Drug Resistance Assay Using Ion Torrent Next Generation Sequencing and On-Instrument End-to-End Analysis Software.

Authors:  Michael T Pyne; Keith E Simmon; Melanie A Mallory; Weston C Hymas; Jeffery Stevenson; Adam P Barker; David R Hillyard
Journal:  J Clin Microbiol       Date:  2022-06-14       Impact factor: 11.677

2.  Prospective Evaluation of the Vela Diagnostics Next-Generation Sequencing Platform for HIV-1 Genotypic Resistance Testing.

Authors:  Jenna Weber; Ilona Volkova; Malaya K Sahoo; Philip L Tzou; Robert W Shafer; Benjamin A Pinsky
Journal:  J Mol Diagn       Date:  2019-08-02       Impact factor: 5.568

3.  Are We Ready for NGS HIV Drug Resistance Testing? The Second "Winnipeg Consensus" Symposium.

Authors:  Hezhao Ji; Paul Sandstrom; Roger Paredes; P Richard Harrigan; Chanson J Brumme; Santiago Avila Rios; Marc Noguera-Julian; Neil Parkin; Rami Kantor
Journal:  Viruses       Date:  2020-05-27       Impact factor: 5.048

4.  Multi-Laboratory Comparison of Next-Generation to Sanger-Based Sequencing for HIV-1 Drug Resistance Genotyping.

Authors:  Neil T Parkin; Santiago Avila-Rios; David F Bibby; Chanson J Brumme; Susan H Eshleman; P Richard Harrigan; Mark Howison; Gillian Hunt; Hezhao Ji; Rami Kantor; Johanna Ledwaba; Emma R Lee; Margarita Matías-Florentino; Jean L Mbisa; Marc Noguera-Julian; Roger Paredes; Vanessa Rivera-Amill; Ronald Swanstrom; Daniel J Zaccaro; Yinfeng Zhang; Shuntai Zhou; Cheryl Jennings
Journal:  Viruses       Date:  2020-06-27       Impact factor: 5.048

5.  Analytical Assessment of the Vela Diagnostics NGS Assay for HIV Genotyping and Resistance Testing: The Apulian Experience.

Authors:  Maria Addolorata Bonifacio; Chiara Genchi; Antonella Lagioia; Vincenza Talamo; Anna Volpe; Maria Addolorata Mariggiò
Journal:  Int J Mol Sci       Date:  2022-03-01       Impact factor: 5.923

6.  Limited Marginal Utility of Deep Sequencing for HIV Drug Resistance Testing in the Age of Integrase Inhibitors.

Authors:  Ronit R Dalmat; Negar Makhsous; Gregory G Pepper; Amalia Magaret; Keith R Jerome; Anna Wald; Alexander L Greninger
Journal:  J Clin Microbiol       Date:  2018-11-27       Impact factor: 5.948

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.