Literature DB >> 24080655

Genotypic analysis of the V3 region of HIV from virologic nonresponders to maraviroc-containing regimens reveals distinct patterns of failure.

Luke C Swenson1, Celia K S Chui, Chanson J Brumme, Dennison Chan, Conan K Woods, Theresa Mo, Winnie Dong, Doug Chapman, Marilyn Lewis, James F Demarest, Ian James, Simon Portsmouth, James Goodrich, Jayvant Heera, Hernan Valdez, P Richard Harrigan.   

Abstract

Changes in HIV tropism from R5 to non-R5 or development of drug resistance is often associated with virologic failure in patients treated with maraviroc, a CCR5 antagonist. We sought to examine changes in HIV envelope sequences and inferred tropism in patients who did not respond to maraviroc-based regimens. We selected 181 patients who experienced early virologic failure on maraviroc-containing therapy in the MOTIVATE trials. All patients had R5 HIV by the original Trofile assay before entry. We used population-based sequencing methods and the geno2pheno algorithm to examine changes in tropism and V3 sequences at the time of failure. Using deep sequencing, we assessed whether V3 sequences observed at failure emerged from preexisting subpopulations. From population genotyping data at failure, 90 patients had R5 results, and 91 had non-R5 results. Of the latter group, the geno2pheno false-positive rate (FPR) value fell from a median of 20 at screening to 1.1 at failure. By deep sequencing, the median percentage of non-R5 variants in these patients rose from 1.4% to 99.5% after a median of 4 weeks on maraviroc. In 70% of cases, deep sequencing could detect a pretreatment CXCR4-using subpopulation, which emerged at failure. Overall, there were two distinct patterns of failure of maraviroc. Patients failing with R5 generally had few V3 substitutions and low non-R5 prevalence by deep sequencing. Patients with non-R5 HIV who were failing developed very-high-prevalence non-R5 HIV (median, 99%) and had very low geno2pheno values.

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Year:  2013        PMID: 24080655      PMCID: PMC3837924          DOI: 10.1128/AAC.01534-13

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


  33 in total

1.  Molecular and clinical epidemiology of CXCR4-using HIV-1 in a large population of antiretroviral-naive individuals.

Authors:  Zabrina L Brumme; James Goodrich; Howard B Mayer; Chanson J Brumme; Bethany M Henrick; Brian Wynhoven; Jerome J Asselin; Peter K Cheung; Robert S Hogg; Julio S G Montaner; P Richard Harrigan
Journal:  J Infect Dis       Date:  2005-06-23       Impact factor: 5.226

2.  Primary resistance of CCR5-tropic HIV-1 to maraviroc cannot be predicted by the V3 sequence.

Authors:  Pierre Delobel; Michelle Cazabat; Adrien Saliou; Claire Loiseau; Lucile Coassin; Stéphanie Raymond; Mary Requena; Bruno Marchou; Patrice Massip; Jacques Izopet
Journal:  J Antimicrob Chemother       Date:  2013-06-21       Impact factor: 5.790

3.  Emergence of CXCR4-using human immunodeficiency virus type 1 (HIV-1) variants in a minority of HIV-1-infected patients following treatment with the CCR5 antagonist maraviroc is from a pretreatment CXCR4-using virus reservoir.

Authors:  Mike Westby; Marilyn Lewis; Jeannette Whitcomb; Mike Youle; Anton L Pozniak; Ian T James; Tim M Jenkins; Manos Perros; Elna van der Ryst
Journal:  J Virol       Date:  2006-05       Impact factor: 5.103

4.  Reduced maximal inhibition in phenotypic susceptibility assays indicates that viral strains resistant to the CCR5 antagonist maraviroc utilize inhibitor-bound receptor for entry.

Authors:  Mike Westby; Caroline Smith-Burchnell; Julie Mori; Marilyn Lewis; Michael Mosley; Mark Stockdale; Patrick Dorr; Giuseppe Ciaramella; Manos Perros
Journal:  J Virol       Date:  2006-12-20       Impact factor: 5.103

5.  Improved success of phenotype prediction of the human immunodeficiency virus type 1 from envelope variable loop 3 sequence using neural networks.

Authors:  W Resch; N Hoffman; R Swanstrom
Journal:  Virology       Date:  2001-09-15       Impact factor: 3.616

6.  Determining human immunodeficiency virus coreceptor use in a clinical setting: degree of correlation between two phenotypic assays and a bioinformatic model.

Authors:  Katharina Skrabal; Andrew J Low; Winnie Dong; Tobias Sing; Peter K Cheung; Fabrizio Mammano; P Richard Harrigan
Journal:  J Clin Microbiol       Date:  2006-11-22       Impact factor: 5.948

7.  Predicting HIV coreceptor usage on the basis of genetic and clinical covariates.

Authors:  Tobias Sing; Andrew J Low; Niko Beerenwinkel; Oliver Sander; Peter K Cheung; Francisco S Domingues; Joachim Büch; Martin Däumer; Rolf Kaiser; Thomas Lengauer; P Richard Harrigan
Journal:  Antivir Ther       Date:  2007

8.  Maraviroc treatment in non-R5-HIV-1-infected patients results in the selection of extreme CXCR4-using variants with limited effect on the total viral setpoint.

Authors:  Rachel A McGovern; Jori Symons; Art F Y Poon; P Richard Harrigan; Steven F L van Lelyveld; Andy I M Hoepelman; Petra M van Ham; Winnie Dong; Annemarie M J Wensing; Monique Nijhuis
Journal:  J Antimicrob Chemother       Date:  2013-05-14       Impact factor: 5.790

9.  Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates.

Authors:  Andrew J Low; Winnie Dong; Dennison Chan; Tobias Sing; Ronald Swanstrom; Mark Jensen; Satish Pillai; Benjamin Good; P Richard Harrigan
Journal:  AIDS       Date:  2007-09-12       Impact factor: 4.177

10.  Performance of a population-based HIV-1 tropism phenotypic assay and correlation with V3 genotypic prediction tools in recent HIV-1 seroconverters.

Authors:  Carmen de Mendoza; Kurt Van Baelen; Eva Poveda; Evelien Rondelez; Natalia Zahonero; Lieven Stuyver; Carolina Garrido; Jorge Villacian; Vincent Soriano
Journal:  J Acquir Immune Defic Syndr       Date:  2008-07-01       Impact factor: 3.731

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  7 in total

1.  Deep Sequencing of the HIV-1 env Gene Reveals Discrete X4 Lineages and Linkage Disequilibrium between X4 and R5 Viruses in the V1/V2 and V3 Variable Regions.

Authors:  Shuntai Zhou; Maria M Bednar; Christa B Sturdevant; Blake M Hauser; Ronald Swanstrom
Journal:  J Virol       Date:  2016-07-27       Impact factor: 5.103

2.  Incompatible Natures of the HIV-1 Envelope in Resistance to the CCR5 Antagonist Cenicriviroc and to Neutralizing Antibodies.

Authors:  Takeo Kuwata; Ikumi Enomoto; Masanori Baba; Shuzo Matsushita
Journal:  Antimicrob Agents Chemother       Date:  2015-11-02       Impact factor: 5.191

3.  Genotypic prediction of tropism of highly diverse HIV-1 strains from Cameroon.

Authors:  Christelle Mbondji-Wonje; Viswanath Ragupathy; Jiangqin Zhao; Aubin Nanfack; Sherwin Lee; Judith Torimiro; Phillipe Nyambi; Indira K Hewlett
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

4.  Partial HIV C2V3 envelope sequence analysis reveals association of coreceptor tropism, envelope glycosylation and viral genotypic variability among Kenyan patients on HAART.

Authors:  Rose C Kitawi; Carol W Hunja; Rashid Aman; Bernhards R Ogutu; Anne W T Muigai; Gilbert O Kokwaro; Washingtone Ochieng
Journal:  Virol J       Date:  2017-02-14       Impact factor: 4.099

Review 5.  Maraviroc: a review of its use in HIV infection and beyond.

Authors:  Shawna M Woollard; Georgette D Kanmogne
Journal:  Drug Des Devel Ther       Date:  2015-10-01       Impact factor: 4.162

6.  Short-term maraviroc exposure, a clinical approach to decide on maraviroc prescription in HIV-1-infected treatment-naïve patients.

Authors:  Alejandro Gonzalez-Serna; Miguel Genebat; Ezequiel Ruiz-Mateos; Manuel Leal
Journal:  Drug Des Devel Ther       Date:  2016-01-18       Impact factor: 4.162

7.  Immune activation correlates with and predicts CXCR4 co-receptor tropism switch in HIV-1 infection.

Authors:  Bridgette J Connell; Lucas E Hermans; Annemarie M J Wensing; Ingrid Schellens; Pauline J Schipper; Petra M van Ham; Dorien T C M de Jong; Sigrid Otto; Tholakele Mathe; Robert Moraba; José A M Borghans; Maria A Papathanasopoulos; Zita Kruize; Francois W D Venter; Neeltje A Kootstra; Hugo Tempelman; Kiki Tesselaar; Monique Nijhuis
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

  7 in total

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