Literature DB >> 23429552

Use of cellular HIV DNA to predict virologic response to maraviroc: performance of population-based and deep sequencing.

Luke C Swenson1, Winnie W Y Dong, Theresa Mo, James Demarest, Doug Chapman, Suzanne Ellery, Jayvant Heera, Hernan Valdez, Art F Y Poon, P Richard Harrigan.   

Abstract

BACKGROUND: A tropism test is required before administration of the antiretroviral drug maraviroc. However, plasma RNA testing is not possible in patients with undetectable plasma viral loads. Here we assess genotypic testing of cellular human immunodeficiency virus (HIV) DNA from peripheral blood mononuclear cells (PBMCs) to predict virologic responses in treatment-experienced patients beginning maraviroc-containing regimens.
METHODS: PBMC samples from 181 maraviroc recipients at study entry in MOTIVATE or A4001029 (51% R5 by original Trofile). The V3 loop was amplified in triplicate from cellular HIV DNA, and matching plasma RNA (n = 156). Sequencing was performed using standard population-based methods and next-generation deep sequencing, with tropism assessment as previously defined.
RESULTS: Genotypic DNA-based tropism testing from the cellular compartment had 78%-81% sensitivity relative to RNA-based Trofile at the same time point. Cell-based genotypic tropism methods and plasma-based phenotypic and genotypic methods were predictive of virologic response. However, when classifications were discordant, the outcomes favored the plasma predictions over the DNA ones.
CONCLUSIONS: Genotypic determination of HIV tropism can be performed using cell-derived viral DNA, and is a predictor of virologic success on maraviroc in therapy-experienced patients. However, the PBMC compartment appears to be a suboptimal predictor compared to plasma.

Entities:  

Keywords:  HIV coreceptor-usage/tropism; HIV proviral DNA; maraviroc; next-generation sequencing

Mesh:

Substances:

Year:  2013        PMID: 23429552     DOI: 10.1093/cid/cit105

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  13 in total

1.  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

2.  Next generation sequencing reveals a high frequency of CXCR4 utilizing viruses in HIV-1 chronically infected drug experienced individuals in South Africa.

Authors:  Nontokozo D Matume; Denis M Tebit; Laurie R Gray; Marie-Louise Hammarskjold; David Rekosh; Pascal O Bessong
Journal:  J Clin Virol       Date:  2018-02-15       Impact factor: 3.168

3.  Theoretical and experimental assessment of degenerate primer tagging in ultra-deep applications of next-generation sequencing.

Authors:  Richard H Liang; Theresa Mo; Winnie Dong; Guinevere Q Lee; Luke C Swenson; Rosemary M McCloskey; Conan K Woods; Chanson J Brumme; Cynthia K Y Ho; Janke Schinkel; Jeffrey B Joy; P Richard Harrigan; Art F Y Poon
Journal:  Nucleic Acids Res       Date:  2014-05-07       Impact factor: 16.971

4.  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

5.  Virological and immunological response to antiretroviral regimens containing maraviroc in HIV type 1-infected patients in clinical practice: role of different tropism testing results and of concomitant treatments.

Authors:  Barbara Rossetti; Claudia Bianco; Lara Ines Bellazzi; Bianca Bruzzone; Grazia Colao; Paola Corsi; Laura Monno; Gabriella Pagano; Stefania Paolucci; Grazia Punzi; Maurizio Setti; Maurizio Zazzi; Andrea De Luca
Journal:  AIDS Res Hum Retroviruses       Date:  2013-09-17       Impact factor: 2.205

6.  Parameters Influencing Baseline HIV-1 Genotypic Tropism Testing Related to Clinical Outcome in Patients on Maraviroc.

Authors:  Saleta Sierra; J Nikolai Dybowski; Alejandro Pironti; Dominik Heider; Lisa Güney; Alex Thielen; Stefan Reuter; Stefan Esser; Gerd Fätkenheuer; Thomas Lengauer; Daniel Hoffmann; Herbert Pfister; Björn Jensen; Rolf Kaiser
Journal:  PLoS One       Date:  2015-05-13       Impact factor: 3.240

7.  Determination of HIV-1 coreceptor tropism using proviral DNA in women before and after viral suppression.

Authors:  Russell E Baumann; Amy A Rogers; Hasnah B Hamdan; Harold Burger; Barbara Weiser; Wei Gao; Kathryn Anastos; Mary Young; William A Meyer; Rick L Pesano; Ron M Kagan
Journal:  AIDS Res Ther       Date:  2015-04-18       Impact factor: 2.250

8.  Longitudinal analysis of HIV-1 coreceptor tropism by single and triplicate HIV-1 RNA and DNA sequencing in patients undergoing successful first-line antiretroviral therapy.

Authors:  Genny Meini; Barbara Rossetti; Claudia Bianco; Francesca Ceccherini-Silberstein; Simona Di Giambenedetto; Laura Sighinolfi; Laura Monno; Antonella Castagna; Gabriella Rozera; Antonella D'Arminio Monforte; Maurizio Zazzi; Andrea De Luca
Journal:  J Antimicrob Chemother       Date:  2013-10-23       Impact factor: 5.790

9.  Limited evolution of inferred HIV-1 tropism while viremia is undetectable during standard HAART therapy.

Authors:  Guinevere Q Lee; Winnie Dong; Theresa Mo; David J H F Knapp; Chanson J Brumme; Conan K Woods; Steve Kanters; Benita Yip; P Richard Harrigan
Journal:  PLoS One       Date:  2014-06-06       Impact factor: 3.240

10.  Association between HIV-1 coreceptor usage and resistance to broadly neutralizing antibodies.

Authors:  Nico Pfeifer; Hauke Walter; Thomas Lengauer
Journal:  J Acquir Immune Defic Syndr       Date:  2014-10-01       Impact factor: 3.731

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