Literature DB >> 21518222

Concordance between HIV-1 genotypic coreceptor tropism predictions based on plasma RNA and proviral DNA.

C Verhofstede1, D Brudney, J Reynaerts, D Vaira, K Fransen, A De Bel, C Seguin-Devaux, S De Wit, L Vandekerckhove, A-M Geretti.   

Abstract

OBJECTIVE: The aim of the study was to evaluate the use of proviral DNA as a source of viral genetic material for genotypic coreceptor tropism testing (GTT).
METHODS: GTT consisted of bulk V3 sequencing followed by geno2pheno interpretation with the interpretative cut-off [false positive rate (FPR)] set at 5 and 10%. GTT was performed for 165 patients with a viral load of >500 HIV-1 RNA copies/mL on simultaneously collected plasma RNA and proviral DNA, and for 126 patients with a viral load of <500 copies/mL on current proviral DNA and pretreatment plasma RNA. Phenotypic tropism testing (PTT) results were available for 142 samples.
RESULTS: In the simultaneous RNA/DNA comparison, concordance in prediction was 95.2% (at FPR 10%) and 96.4% (at FPR 5%). Six RNA-R5/DNA-X4 and two RNA-X4/DNA-R5 discordances were observed at an FPR of 10%, and six RNA-R5/DNA-X4 discordances were observed at an FPR of 5%. In the longitudinal RNA/DNA comparison, concordance was 88.1% (at FPR 10%) and 90.5% (at FPR 5%). Eight RNA-X4/DNA-R5 and seven RNA-R5/DNA-X4 discordances were seen at an FPR of 10%, and 10 RNA-R5/DNA-X4 and two RNA-X4/DNA-R5 discordances at an FPR of 5%. The overall concordance of RNA GTT with PTT was 82% (at FPR 10%) and 83% (at FPR 5%). The overall concordance of DNA GTT with PTT was 85% (at both 10 and 5% FPRs).
CONCLUSIONS: GTT produced highly concordant tropism predictions for proviral DNA and plasma RNA. GTT on proviral DNA offers a promising approach for tropism prediction in clinical practice, particularly for the assessment of treated patients with low or suppressed viraemia.
© 2011 British HIV Association.

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Year:  2011        PMID: 21518222     DOI: 10.1111/j.1468-1293.2011.00922.x

Source DB:  PubMed          Journal:  HIV Med        ISSN: 1464-2662            Impact factor:   3.180


  26 in total

1.  Evolution of proviral DNA HIV-1 tropism under selective pressure of maraviroc-based therapy.

Authors:  Silvia Baroncelli; Clementina Maria Galluzzo; Liliana Elena Weimer; Maria Franca Pirillo; Anna Volpe; Alessandra Mercuri; Albertina Cavalli; Vincenzo Fragola; Laura Monno; Anna Degli Antoni; Nicoletta Ladisa; Daniela Francisci; Raffaella Bucciardini; Marco Floridia
Journal:  J Antimicrob Chemother       Date:  2012-02-23       Impact factor: 5.790

2.  HIV-1 tropism testing and clinical management of CCR5 antagonists: Quebec review and recommendations.

Authors:  Cécile Tremblay; Isabelle Hardy; Richard Lalonde; Benoit Trottier; Irina Tsarevsky; Louis-Philippe Vézina; Michel Roger; Mark Wainberg; Jean-Guy Baril
Journal:  Can J Infect Dis Med Microbiol       Date:  2013       Impact factor: 2.471

Review 3.  Bioinformatic analysis of HIV-1 entry and pathogenesis.

Authors:  Benjamas Aiamkitsumrit; Will Dampier; Gregory Antell; Nina Rivera; Julio Martin-Garcia; Vanessa Pirrone; Michael R Nonnemacher; Brian Wigdahl
Journal:  Curr HIV Res       Date:  2014       Impact factor: 1.581

4.  Genotypic Tropism Testing in HIV-1 Proviral DNA Can Provide Useful Information at Low-Level Viremia.

Authors:  Lavinia Fabeni; Giulia Berno; Valentina Svicher; Francesca Ceccherini-Silberstein; Caterina Gori; Ada Bertoli; Cristina Mussini; Miriam Lichtner; Mauro Zaccarelli; Adriana Ammassari; Carmela Pinnetti; Stefania Cicalini; Claudio Maria Mastroianni; Massimo Andreoni; Andrea Antinori; Carlo Federico Perno; Maria Mercedes Santoro
Journal:  J Clin Microbiol       Date:  2015-07-01       Impact factor: 5.948

5.  Frequency of coreceptor tropism in PBMC samples from HIV-1 recently infected blood donors by massively parallel sequencing: the REDS II study.

Authors:  Rodrigo Pessôa; Ester C Sabino; Sabri S Sanabani
Journal:  Virol J       Date:  2015-05-14       Impact factor: 4.099

6.  Results of external quality assessment for proviral DNA testing of HIV tropism in the Maraviroc Switch collaborative study.

Authors:  Elise Tu; Luke C Swenson; Sally Land; Sarah Pett; Sean Emery; Kat Marks; Anthony D Kelleher; Steve Kaye; Rolf Kaiser; Eugene Schuelter; Richard Harrigan
Journal:  J Clin Microbiol       Date:  2013-04-17       Impact factor: 5.948

7.  Phenotypic Coreceptor Tropism in Perinatally HIV-infected Youth Failing Antiretroviral Therapy.

Authors:  Allison L Agwu; Tzy-Jyun Yao; Susan H Eshleman; Kunjal Patel; Wei Huang; Sandra K Burchett; George K Siberry; Russell B Van Dyke
Journal:  Pediatr Infect Dis J       Date:  2016-07       Impact factor: 2.129

8.  X4 viruses are frequently archived in patients with long-term HIV infection but do not seem to influence the "inflamm-aging" process.

Authors:  Annalisa Saracino; Laura Monno; Luigia Scudeller; Giuseppe Bruno; Nicoletta Ladisa; Grazia Punzi; Anna Volpe; Antonella Lagioia; Gioacchino Angarano
Journal:  BMC Infect Dis       Date:  2013-05-16       Impact factor: 3.090

9.  HIV-1 tropism determination using a phenotypic Env recombinant viral assay highlights overestimation of CXCR4-usage by genotypic prediction algorithms for CRF01_AE and CRF02_AG [corrected].

Authors:  Martin Mulinge; Morgane Lemaire; Jean-Yves Servais; Arkadiusz Rybicki; Daniel Struck; Eveline Santos da Silva; Chris Verhofstede; Yolanda Lie; Carole Seguin-Devaux; Jean-Claude Schmit; Danielle Perez Bercoff
Journal:  PLoS One       Date:  2013-05-08       Impact factor: 3.240

10.  In vivo effect of statins on the expression of the HIV co-receptors CCR5 and CXCR4.

Authors:  Edwin A Higuita; Fabián A Jaimes; Maria T Rugeles; Carlos J Montoya
Journal:  AIDS Res Ther       Date:  2013-05-01       Impact factor: 2.250

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