Literature DB >> 21464245

Concordance between two phenotypic assays and ultradeep pyrosequencing for determining HIV-1 tropism.

Adrien Saliou1, Pierre Delobel, Martine Dubois, Florence Nicot, Stéphanie Raymond, Vincent Calvez, Bernard Masquelier, Jacques Izopet.   

Abstract

There have been few studies on the concordance between phenotypic assays for predicting human immunodeficiency virus type 1 (HIV-1) coreceptor usage. The sensitivity of ultradeep pyrosequencing combined with genotyping tools is similar to that of phenotypic assays for detecting minor CXCR4-using variants. We evaluated the agreement between two phenotypic assays, the Toulouse tropism test (TTT) and the Trofile assay, and ultradeep pyrosequencing for determining the tropism of HIV-1 quasispecies. The concordance between the TTT and Trofile assays was assessed for 181 samples successfully phenotyped by both assays. The TTT was 86% concordant with the standard Trofile assay and 91.7% with its enhanced-sensitivity version. The concordance between phenotypic characterization of HIV-1 tropism and ultradeep pyrosequencing genotypic prediction was further studied in selected samples. The HIV-1 tropism inferred from ultradeep pyrosequencing of 11 samples phenotyped as X4 and dualtropic and 12 phenotyped as R5-tropic agreed closely with the results of phenotyping. However, ultradeep pyrosequencing detected minor CXCR4-using variants in 3 of 12 samples phenotyped as R5-tropic. Ultradeep pyrosequencing also detected minor CXCR4-using variants that had been missed by direct sequencing in 6 of 9 samples phenotyped as X4-tropic but genotyped as R5-tropic by direct sequencing. Ultradeep pyrosequencing was 87% concordant with the Trofile and TTT phenotypic assays and was in the same range of sensitivity (0.4%) than these two phenotypic assays (0.3 to 0.5%) for detecting minor CXCR4-using variants. Ultradeep pyrosequencing provides a new way to improve the performance of genotypic prediction of HIV-1 tropism to match that of the phenotypic assays.

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Year:  2011        PMID: 21464245      PMCID: PMC3101380          DOI: 10.1128/AAC.00091-11

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  32 in total

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Journal:  Nature       Date:  2005-07-31       Impact factor: 49.962

2.  Identification of a major co-receptor for primary isolates of HIV-1.

Authors:  H Deng; R Liu; W Ellmeier; S Choe; D Unutmaz; M Burkhart; P Di Marzio; S Marmon; R E Sutton; C M Hill; C B Davis; S C Peiper; T J Schall; D R Littman; N R Landau
Journal:  Nature       Date:  1996-06-20       Impact factor: 49.962

3.  HIV-1 entry into CD4+ cells is mediated by the chemokine receptor CC-CKR-5.

Authors:  T Dragic; V Litwin; G P Allaway; S R Martin; Y Huang; K A Nagashima; C Cayanan; P J Maddon; R A Koup; J P Moore; W A Paxton
Journal:  Nature       Date:  1996-06-20       Impact factor: 49.962

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Authors:  M Ronaghi; M Uhlén; P Nyrén
Journal:  Science       Date:  1998-07-17       Impact factor: 47.728

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Authors:  E A Berger; R W Doms; E M Fenyö; B T Korber; D R Littman; J P Moore; Q J Sattentau; H Schuitemaker; J Sodroski; R A Weiss
Journal:  Nature       Date:  1998-01-15       Impact factor: 49.962

6.  Maraviroc (UK-427,857), a potent, orally bioavailable, and selective small-molecule inhibitor of chemokine receptor CCR5 with broad-spectrum anti-human immunodeficiency virus type 1 activity.

Authors:  Patrick Dorr; Mike Westby; Susan Dobbs; Paul Griffin; Becky Irvine; Malcolm Macartney; Julie Mori; Graham Rickett; Caroline Smith-Burchnell; Carolyn Napier; Rob Webster; Duncan Armour; David Price; Blanda Stammen; Anthony Wood; Manos Perros
Journal:  Antimicrob Agents Chemother       Date:  2005-11       Impact factor: 5.191

7.  HIV-1 entry cofactor: functional cDNA cloning of a seven-transmembrane, G protein-coupled receptor.

Authors:  Y Feng; C C Broder; P E Kennedy; E A Berger
Journal:  Science       Date:  1996-05-10       Impact factor: 47.728

8.  Phenotype-associated sequence variation in the third variable domain of the human immunodeficiency virus type 1 gp120 molecule.

Authors:  R A Fouchier; M Groenink; N A Kootstra; M Tersmette; H G Huisman; F Miedema; H Schuitemaker
Journal:  J Virol       Date:  1992-05       Impact factor: 5.103

9.  Determination of coreceptor usage of human immunodeficiency virus type 1 from patient plasma samples by using a recombinant phenotypic assay.

Authors:  V Trouplin; F Salvatori; F Cappello; V Obry; A Brelot; N Heveker; M Alizon; G Scarlatti; F Clavel; F Mammano
Journal:  J Virol       Date:  2001-01       Impact factor: 5.103

10.  Improved coreceptor usage prediction and genotypic monitoring of R5-to-X4 transition by motif analysis of human immunodeficiency virus type 1 env V3 loop sequences.

Authors:  Mark A Jensen; Fu-Sheng Li; Angélique B van 't Wout; David C Nickle; Daniel Shriner; Hong-Xia He; Sherry McLaughlin; Raj Shankarappa; Joseph B Margolick; James I Mullins
Journal:  J Virol       Date:  2003-12       Impact factor: 5.103

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  20 in total

1.  Algorithm-based prediction of HIV-1 subtype D coreceptor use.

Authors:  Julia Dina; Stephanie Raymond; Anne Maillard; Helene Le Guillou-Guillemette; Audrey Rodalec; Agnes Beby-Defaux; Genevieve Giraudeau; Sophie Vallet; Thomas Mourez; Christopher Payan; Astrid Vabret; Annick Ruffault; Virginie Ferre; Jacques Izopet; Jean-Christophe Plantier
Journal:  J Clin Microbiol       Date:  2013-06-26       Impact factor: 5.948

2.  HIV-1 dynamics and coreceptor usage in Maraviroc-treated patients with ongoing replication.

Authors:  P Recordon-Pinson; S Raymond; P Bellecave; A G Marcelin; C Soulie; D Descamps; V Calvez; P R Harrigan; H Fleury; J Izopet; B Masquelier
Journal:  Antimicrob Agents Chemother       Date:  2012-12-03       Impact factor: 5.191

3.  A diagnostic HIV-1 tropism system based on sequence relatedness.

Authors:  Suzanne Edwards; Heinz Stucki; Joëlle Bader; Vincent Vidal; Rolf Kaiser; Manuel Battegay; Thomas Klimkait
Journal:  J Clin Microbiol       Date:  2014-12-10       Impact factor: 5.948

4.  Next-Generation Sequencing to Help Monitor Patients Infected with HIV: Ready for Clinical Use?

Authors:  Richard M Gibson; Christine L Schmotzer; Miguel E Quiñones-Mateu
Journal:  Curr Infect Dis Rep       Date:  2014-04       Impact factor: 3.725

5.  Sensitive cell-based assay for determination of human immunodeficiency virus type 1 coreceptor tropism.

Authors:  Jan Weber; Ana C Vazquez; Dane Winner; Richard M Gibson; Ariel M Rhea; Justine D Rose; Doug Wylie; Kenneth Henry; Alison Wright; Kevin King; John Archer; Eva Poveda; Vicente Soriano; David L Robertson; Paul D Olivo; Eric J Arts; Miguel E Quiñones-Mateu
Journal:  J Clin Microbiol       Date:  2013-03-13       Impact factor: 5.948

Review 6.  Deep sequencing: becoming a critical tool in clinical virology.

Authors:  Miguel E Quiñones-Mateu; Santiago Avila; Gustavo Reyes-Teran; Miguel A Martinez
Journal:  J Clin Virol       Date:  2014-06-24       Impact factor: 3.168

Review 7.  Routine use of microbial whole genome sequencing in diagnostic and public health microbiology.

Authors:  Claudio U Köser; Matthew J Ellington; Edward J P Cartwright; Stephen H Gillespie; Nicholas M Brown; Mark Farrington; Matthew T G Holden; Gordon Dougan; Stephen D Bentley; Julian Parkhill; Sharon J Peacock
Journal:  PLoS Pathog       Date:  2012-08-02       Impact factor: 6.823

8.  Use of four next-generation sequencing platforms to determine HIV-1 coreceptor tropism.

Authors:  John Archer; Jan Weber; Kenneth Henry; Dane Winner; Richard Gibson; Lawrence Lee; Ellen Paxinos; Eric J Arts; David L Robertson; Larry Mimms; Miguel E Quiñones-Mateu
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

9.  Sensitive deep-sequencing-based HIV-1 genotyping assay to simultaneously determine susceptibility to protease, reverse transcriptase, integrase, and maturation inhibitors, as well as HIV-1 coreceptor tropism.

Authors:  Richard M Gibson; Ashley M Meyer; Dane Winner; John Archer; Felix Feyertag; Ezequiel Ruiz-Mateos; Manuel Leal; David L Robertson; Christine L Schmotzer; Miguel E Quiñones-Mateu
Journal:  Antimicrob Agents Chemother       Date:  2014-01-27       Impact factor: 5.191

10.  The genotypic false positive rate determined by V3 population sequencing can predict the burden of HIV-1 CXCR4-using species detected by pyrosequencing.

Authors:  Valentina Svicher; Valeria Cento; Gabriella Rozera; Isabella Abbate; Maria Mercedes Santoro; Daniele Armenia; Lavinia Fabeni; Alessandro Bruselles; Alessandra Latini; Guido Palamara; Valeria Micheli; Giuliano Rizzardini; Caterina Gori; Federica Forbici; Giuseppe Ippolito; Massimo Andreoni; Andrea Antinori; Francesca Ceccherini-Silberstein; Maria Rosaria Capobianchi; Carlo Federico Perno
Journal:  PLoS One       Date:  2013-01-14       Impact factor: 3.240

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