Literature DB >> 23875707

Comparison of genotypic and phenotypic HIV type 1 tropism assay: results from the screening samples of Cenicriviroc Study 202, a randomized phase II trial in treatment-naive subjects.

Ron M Kagan1, Erik P Johnson, Martin F Siaw, Ben Van Baelen, Richard Ogden, Jamie L Platt, Rick L Pesano, Eric Lefebvre.   

Abstract

Cenicriviroc is a once-daily oral CCR5/CCR2 antagonist in development for treatment of HIV infection. CVC Study 202 (652-2-202; NCT01338883) excluded treatment-naive subjects demonstrated to harbor non-R5 (CXCR4-tropic or dual-mixed) tropic HIV-1 by either genotypic or phenotypic tropism testing. Here we compare the results of genotypic and phenotypic tropism testing in Study 202. A total of 304 subjects screened had paired genotypic and phenotypic results. Genotypic tropism testing (GTT) incorporated triplicate population sequencing using the geno2pheno algorithm and the PSSM algorithm, followed by ultradeep sequencing (UDS) for samples with R5 results. All samples were further evaluated with a phenotypic test, the enhanced-sensitivity Trofile assay (ESTA). Concordance between GTT and ESTA was 80% and increased to 84% when only geno2pheno was used for triplicate population sequencing. GTT (geno2pheno) classified 18% of the samples as non-R5 compared to 16% by ESTA. Only one-third of samples with non-R5 results by either test were classified as non-R5 by both tests. Median CD4((+)) cell counts were lower in patients with concordant non-R5 results by UDS and ESTA than in subjects with an R5 result by either assay (p=0.0004). UDS detected non-R5 virus in an additional 27/304 subjects (median 15% non-R5, interquartile range: 3.7-62%) with R5 results by ESTA. In conclusion, the geno2pheno algorithm improves concordance of GTT with a clinically validated phenotypic tropism assay as does the use of UDS. These findings provide support for recent guidelines indicating that genotypic tropism testing may be considered as an alternative to phenotypic testing.

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Year:  2013        PMID: 23875707      PMCID: PMC3911766          DOI: 10.1089/AID.2013.0123

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  55 in total

1.  Genotypic tropism testing: evidence-based or leap of faith?

Authors:  P Richard Harrigan; Anna Maria Geretti
Journal:  AIDS       Date:  2011-01-14       Impact factor: 4.177

2.  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

3.  Genome sequencing in microfabricated high-density picolitre reactors.

Authors:  Marcel Margulies; Michael Egholm; William E Altman; Said Attiya; Joel S Bader; Lisa A Bemben; Jan Berka; Michael S Braverman; Yi-Ju Chen; Zhoutao Chen; Scott B Dewell; Lei Du; Joseph M Fierro; Xavier V Gomes; Brian C Godwin; Wen He; Scott Helgesen; Chun Heen Ho; Chun He Ho; Gerard P Irzyk; Szilveszter C Jando; Maria L I Alenquer; Thomas P Jarvie; Kshama B Jirage; Jong-Bum Kim; James R Knight; Janna R Lanza; John H Leamon; Steven M Lefkowitz; Ming Lei; Jing Li; Kenton L Lohman; Hong Lu; Vinod B Makhijani; Keith E McDade; Michael P McKenna; Eugene W Myers; Elizabeth Nickerson; John R Nobile; Ramona Plant; Bernard P Puc; Michael T Ronan; George T Roth; Gary J Sarkis; Jan Fredrik Simons; John W Simpson; Maithreyan Srinivasan; Karrie R Tartaro; Alexander Tomasz; Kari A Vogt; Greg A Volkmer; Shally H Wang; Yong Wang; Michael P Weiner; Pengguang Yu; Richard F Begley; Jonathan M Rothberg
Journal:  Nature       Date:  2005-07-31       Impact factor: 49.962

4.  Epidemiology and predictive factors for chemokine receptor use in HIV-1 infection.

Authors:  Graeme J Moyle; Adrian Wildfire; Sundhiya Mandalia; Howard Mayer; James Goodrich; Jeannette Whitcomb; Brian G Gazzard
Journal:  J Infect Dis       Date:  2005-02-11       Impact factor: 5.226

5.  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

Review 6.  Chemokine receptors as HIV-1 coreceptors: roles in viral entry, tropism, and disease.

Authors:  E A Berger; P M Murphy; J M Farber
Journal:  Annu Rev Immunol       Date:  1999       Impact factor: 28.527

Review 7.  HIV-1 coreceptors and their inhibitors.

Authors:  N Ray; R W Doms
Journal:  Curr Top Microbiol Immunol       Date:  2006       Impact factor: 4.291

8.  Consistent viral evolutionary changes associated with the progression of human immunodeficiency virus type 1 infection.

Authors:  R Shankarappa; J B Margolick; S J Gange; A G Rodrigo; D Upchurch; H Farzadegan; P Gupta; C R Rinaldo; G H Learn; X He; X L Huang; J I Mullins
Journal:  J Virol       Date:  1999-12       Impact factor: 5.103

9.  Identification of the envelope V3 loop as the primary determinant of cell tropism in HIV-1.

Authors:  S S Hwang; T J Boyle; H K Lyerly; B R Cullen
Journal:  Science       Date:  1991-07-05       Impact factor: 47.728

10.  Change in coreceptor use correlates with disease progression in HIV-1--infected individuals.

Authors:  R I Connor; K E Sheridan; D Ceradini; S Choe; N R Landau
Journal:  J Exp Med       Date:  1997-02-17       Impact factor: 14.307

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  8 in total

1.  Synergistic combinations of the CCR5 inhibitor VCH-286 with other classes of HIV-1 inhibitors.

Authors:  Odalis Asin-Milan; Mohamed Sylla; Mohamed El-Far; Geneviève Belanger-Jasmin; Alpha Haidara; Julie Blackburn; Annie Chamberland; Cécile L Tremblay
Journal:  Antimicrob Agents Chemother       Date:  2014-09-29       Impact factor: 5.191

2.  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

3.  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

4.  Evolution of HIV-1 coreceptor usage and coreceptor switching during pregnancy.

Authors:  Doris G Ransy; Alena Motorina; Natacha Merindol; Bertine S Akouamba; Johanne Samson; Yolanda Lie; Laura A Napolitano; Normand Lapointe; Marc Boucher; Hugo Soudeyns
Journal:  AIDS Res Hum Retroviruses       Date:  2013-10-25       Impact factor: 2.205

Review 5.  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

6.  Transmission patterns of HIV-1 non-R5 strains in Poland.

Authors:  Joanna Smoleń-Dzirba; Magdalena Rosińska; Piotr Kruszyński; Janusz Janiec; Mariusz Cycoń; Jolanta Bratosiewicz-Wąsik; Marek Beniowski; Monika Bociąga-Jasik; Elżbieta Jabłonowska; Bartosz Szetela; Tomasz J Wąsik
Journal:  Sci Rep       Date:  2019-03-21       Impact factor: 4.379

7.  Evolution of Multiple Domains of the HIV-1 Envelope Glycoprotein during Coreceptor Switch with CCR5 Antagonist Therapy.

Authors:  Yueqi Du; Ellen Wu; Xiang Gao; Jie Zhang; John C Martin; Bruce A Rosa; Makedonka Mitreva; Lee Ratner
Journal:  Microbiol Spectr       Date:  2022-06-21

8.  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

  8 in total

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