Literature DB >> 18301059

HIV-1 coreceptor usage and CXCR4-specific viral load predict clinical disease progression during combination antiretroviral therapy.

Barbara Weiser1, Sean Philpott, Thomas Klimkait, Harold Burger, Christina Kitchen, Philippe Bürgisser, Meri Gorgievski, Luc Perrin, Jean-Claude Piffaretti, Bruno Ledergerber.   

Abstract

BACKGROUND: Although combination antiretroviral therapy (cART) dramatically reduces rates of AIDS and death, a minority of patients experience clinical disease progression during treatment.
OBJECTIVE: To investigate whether detection of CXCR4(X4)-specific strains or quantification of X4-specific HIV-1 load predict clinical outcome.
METHODS: From the Swiss HIV Cohort Study, 96 participants who initiated cART yet subsequently progressed to AIDS or death were compared with 84 contemporaneous, treated nonprogressors. A sensitive heteroduplex tracking assay was developed to quantify plasma X4 and CCR5 variants and resolve HIV-1 load into coreceptor-specific components. Measurements were analyzed as cofactors of progression in multivariable Cox models adjusted for concurrent CD4 cell count and total viral load, applying inverse probability weights to adjust for sampling bias.
RESULTS: Patients with X4 variants at baseline displayed reduced CD4 cell responses compared with those without X4 strains (40 versus 82 cells/microl; P = 0.012). The adjusted multivariable hazard ratio (HR) for clinical progression was 4.8 [95% confidence interval (CI) 2.3-10.0] for those demonstrating X4 strains at baseline. The X4-specific HIV-1 load was a similarly independent predictor, with HR values of 3.7 (95% CI, 1.2-11.3) and 5.9 (95% CI, 2.2-15.0) for baseline loads of 2.2-4.3 and > 4.3 log10 copies/ml, respectively, compared with < 2.2 log10 copies/ml.
CONCLUSIONS: HIV-1 coreceptor usage and X4-specific viral loads strongly predicted disease progression during cART, independent of and in addition to CD4 cell count or total viral load. Detection and quantification of X4 strains promise to be clinically useful biomarkers to guide patient management and study HIV-1 pathogenesis.

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Year:  2008        PMID: 18301059     DOI: 10.1097/QAD.0b013e3282f4196c

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  31 in total

1.  Evolution and recombination of genes encoding HIV-1 drug resistance and tropism during antiretroviral therapy.

Authors:  Binshan Shi; Christina Kitchen; Barbara Weiser; Douglas Mayers; Brian Foley; Kimdar Kemal; Kathryn Anastos; Marc Suchard; Monica Parker; Cheryl Brunner; Harold Burger
Journal:  Virology       Date:  2010-05-08       Impact factor: 3.616

2.  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

3.  Low frequency of CXCR4-using viruses in patients at the time of primary non-subtype-B HIV-1 infection.

Authors:  Pierre Frange; Marie-Laure Chaix; Stéphanie Raymond; Julie Galimand; Christiane Deveau; Laurence Meyer; Cécile Goujard; Christine Rouzioux; Jacques Izopet
Journal:  J Clin Microbiol       Date:  2010-08-04       Impact factor: 5.948

4.  A novel denaturing heteroduplex tracking assay for genotypic prediction of HIV-1 tropism.

Authors:  Binshan Shi; Barbara Weiser; Linda M Styer; Kimdar Kemal; Cheryl Brunner; Kathryn Anastos; Harold Burger
Journal:  J Virol Methods       Date:  2012-06-21       Impact factor: 2.014

5.  CD133+ hematopoietic progenitor cells harbor HIV genomes in a subset of optimally treated people with long-term viral suppression.

Authors:  Lucy A McNamara; Adewunmi Onafuwa-Nuga; Nadia T Sebastian; James Riddell; Dale Bixby; Kathleen L Collins
Journal:  J Infect Dis       Date:  2013-04-03       Impact factor: 5.226

Review 6.  CCR5 receptor antagonists in preclinical to phase II clinical development for treatment of HIV.

Authors:  Michelle B Kim; Kyle E Giesler; Yesim A Tahirovic; Valarie M Truax; Dennis C Liotta; Lawrence J Wilson
Journal:  Expert Opin Investig Drugs       Date:  2016-12       Impact factor: 6.206

7.  Impact of baseline HIV-1 tropism on viral response and CD4 cell count gains in HIV-infected patients receiving first-line antiretroviral therapy.

Authors:  Eduardo Seclén; Vicente Soriano; María M González; Luz Martín-Carbonero; Holger Gellermann; Manuel Distel; Werner Kadus; Eva Poveda
Journal:  J Infect Dis       Date:  2011-07-01       Impact factor: 5.226

Review 8.  Evolving character of chronic central nervous system HIV infection.

Authors:  Richard W Price; Serena S Spudich; Julia Peterson; Sarah Joseph; Dietmar Fuchs; Henrik Zetterberg; Magnus Gisslén; Ronald Swanstrom
Journal:  Semin Neurol       Date:  2014-04-08       Impact factor: 3.420

9.  Circulating monocytes in HIV-1-infected viremic subjects exhibit an antiapoptosis gene signature and virus- and host-mediated apoptosis resistance.

Authors:  Malavika S Giri; Michael Nebozyhn; Andrea Raymond; Bethsebah Gekonge; Aidan Hancock; Shenoa Creer; Calen Nicols; Malik Yousef; Andrea S Foulkes; Karam Mounzer; Jane Shull; Guido Silvestri; Jay Kostman; Ronald G Collman; Louise Showe; Luis J Montaner
Journal:  J Immunol       Date:  2009-04-01       Impact factor: 5.422

10.  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.

Authors:  Ron M Kagan; Erik P Johnson; Martin F Siaw; Ben Van Baelen; Richard Ogden; Jamie L Platt; Rick L Pesano; Eric Lefebvre
Journal:  AIDS Res Hum Retroviruses       Date:  2013-08-14       Impact factor: 2.205

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