Literature DB >> 18285478

Predictive values of the human immunodeficiency virus phenotype and genotype and of amprenavir and lopinavir inhibitory quotients in heavily pretreated patients on a ritonavir-boosted dual-protease-inhibitor regimen.

Aurélie Barrail-Tran1, Laurence Morand-Joubert, Gwendoline Poizat, Gilles Raguin, Clotilde Le Tiec, François Clavel, Elisabeth Dam, Geneviève Chêne, Pierre-Marie Girard, Anne-Marie Taburet.   

Abstract

The inhibitory quotient (IQ) of human immunodeficiency virus (HIV) protease inhibitors (PIs), which is the ratio of drug concentration to viral susceptibility, is considered to be predictive of the virological response. We used several approaches to calculate the IQs of amprenavir and lopinavir in a subset of heavily pretreated patients participating in the French National Agency for AIDS Research (ANRS) 104 trial and then compared their potentials for predicting changes in the plasma HIV RNA level. Thirty-seven patients were randomly assigned to receive either amprenavir (600 mg twice a day [BID]) or lopinavir (400 mg BID) plus ritonavir (100 or 200 mg BID) for 2 weeks before combining the two PIs. The 90% inhibitory concentration (IC(90)) was measured using a recombinant assay without or with additional human serum (IC(90+serum)). Total and unbound PI concentrations in plasma were measured. Univariate linear regression was used to estimate the relation between the change in viral load and the IC(90) or IQ values. The amprenavir phenotypic IQ values were very similar when measured with the standard and protein binding-adjusted IC(90)s. No relationship was found between the viral load decline and the lopinavir IQ. During combination therapy, the amprenavir and lopinavir genotypic IQ values were predictive of the viral response at week 6 (P = 0.03). The number of protease mutations (< 5 or > or = 5) was related to the virological response throughout the study. These findings suggest that the combined genotypic IQ and the number of protease mutations are the best predictors of virological response. High amprenavir and lopinavir concentrations in these patients might explain why plasma concentrations and the phenotypic IQ have poor predictive value.

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Year:  2008        PMID: 18285478      PMCID: PMC2346619          DOI: 10.1128/AAC.01314-07

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


  31 in total

1.  Analysis of HIV cross-resistance to protease inhibitors using a rapid single-cycle recombinant virus assay for patients failing on combination therapies.

Authors:  E Race; E Dam; V Obry; S Paulous; F Clavel
Journal:  AIDS       Date:  1999-10-22       Impact factor: 4.177

2.  The utility of inhibitory quotients in determining the relative potency of protease inhibitors.

Authors:  Peter J Piliero
Journal:  AIDS       Date:  2002-03-29       Impact factor: 4.177

3.  Low genetic barrier to large increases in HIV-1 cross-resistance to protease inhibitors during salvage therapy.

Authors:  Laurence Morand-Joubert; Charlotte Charpentier; Gwendoline Poizat; Geneviève Chêne; Elisabeth Dam; Gilles Raguin; Anne-Marie Taburet; Pierre-Marie Girard; Allan J Hance; François Clavel
Journal:  Antivir Ther       Date:  2006

4.  The genotypic inhibitory quotient and the (cumulative) number of mutations predict the response to lopinavir therapy.

Authors:  Jolanda G M Hoefnagel; Manon J van der Lee; Peter P Koopmans; Rob Schuurman; Suzanne Jurriaans; Ard I van Sighem; Luuk Gras; Frank de Wolf; Jochem M D Galama; David M Burger
Journal:  AIDS       Date:  2006-04-24       Impact factor: 4.177

Review 5.  Role of the inhibitory quotient in HIV therapy.

Authors:  Jolando G M Hoefnagel; Peter P Koopmans; David M Burger; Rob Schuurman; Jochem M D Galama
Journal:  Antivir Ther       Date:  2005

6.  Prediction of early and confirmed virological response by genotypic inhibitory quotients for lopinavir in patients naïve for lopinavir with limited exposure to previous protease inhibitors.

Authors:  Carlo Torti; Maria Cristina Uccelli; Eugenia Quiros-Roldan; Franco Gargiulo; Valeria Tirelli; Giuseppe Lapadula; Mario Regazzi; Piera Pierotti; Carmine Tinelli; Andrea De Luca; Andrea Patroni; Nino Manca; Giampiero Carosi
Journal:  J Clin Virol       Date:  2005-11-08       Impact factor: 3.168

7.  Marked intraindividual variability in antiretroviral concentrations may limit the utility of therapeutic drug monitoring.

Authors:  Richard E Nettles; Tara L Kieffer; Teresa Parsons; James Johnson; Joseph Cofrancesco; Joel E Gallant; Kathryn A Carson; Robert F Siliciano; Charles Flexner
Journal:  Clin Infect Dis       Date:  2006-03-07       Impact factor: 9.079

8.  Virological responses to atazanavir-ritonavir-based regimens: resistance-substitutions score and pharmacokinetic parameters (Reyaphar study).

Authors:  Isabelle Pellegrin; Dominique Breilh; Jean-Marie Ragnaud; Sébastien Boucher; Didier Neau; Hervé Fleury; Marie-Hélène Schrive; Marie-Claude Saux; Jean-Luc Pellegrin; Estibaliz Lazaro; Muriel Vray
Journal:  Antivir Ther       Date:  2006

9.  Pharmacokinetic and pharmacodynamic study of the human immunodeficiency virus protease inhibitor amprenavir after multiple oral dosing.

Authors:  B M Sadler; C Gillotin; Y Lou; D S Stein
Journal:  Antimicrob Agents Chemother       Date:  2001-01       Impact factor: 5.191

10.  Interpretation of genotype and pharmacokinetics for resistance to fosamprenavir-ritonavir-based regimens in antiretroviral-experienced patients.

Authors:  Isabelle Pellegrin; Dominique Breilh; Gaelle Coureau; Sébastien Boucher; Didier Neau; Patrick Merel; Denis Lacoste; Hervé Fleury; Marie-Claude Saux; Jean-Luc Pellegrin; Estibaliz Lazaro; François Dabis; Rodolphe Thiébaut
Journal:  Antimicrob Agents Chemother       Date:  2007-02-12       Impact factor: 5.191

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  5 in total

Review 1.  Pharmacokinetic optimization of antiretroviral therapy in children and adolescents.

Authors:  Michael N Neely; Natella Y Rakhmanina
Journal:  Clin Pharmacokinet       Date:  2011-03       Impact factor: 6.447

2.  A randomized clinical trial evaluating therapeutic drug monitoring (TDM) for protease inhibitor-based regimens in antiretroviral-experienced HIV-infected individuals: week 48 results of the A5146 study.

Authors:  Mary Albrecht; A Lisa Mukherjee; Camlin Tierney; Gene D Morse; Carrie Dykes; Karin L Klingman; Lisa M Demeter
Journal:  HIV Clin Trials       Date:  2011 Jul-Aug

3.  Novel method to assess antiretroviral target trough concentrations using in vitro susceptibility data.

Authors:  Edward P Acosta; Kay L Limoli; Lan Trinh; Neil T Parkin; Jennifer R King; Jodi M Weidler; Ighovwerha Ofotokun; Christos J Petropoulos
Journal:  Antimicrob Agents Chemother       Date:  2012-09-10       Impact factor: 5.191

4.  A randomized trial of therapeutic drug monitoring of protease inhibitors in antiretroviral-experienced, HIV-1-infected patients.

Authors:  Lisa M Demeter; Hongyu Jiang; A Lisa Mukherjee; Gene D Morse; Robin DiFrancesco; Robert DiCenzo; Carrie Dykes; Prakash Sista; Lee Bacheler; Karin Klingman; Alex Rinehart; Mary Albrecht
Journal:  AIDS       Date:  2009-01-28       Impact factor: 4.177

5.  Predictive value of pharmacokinetics-adjusted phenotypic susceptibility on response to ritonavir-enhanced protease inhibitors (PIs) in human immunodeficiency virus-infected subjects failing prior PI therapy.

Authors:  Joseph J Eron; Jeong-Gun Park; Richard Haubrich; Francesca Aweeka; Barbara Bastow; Gary E Pakes; Song Yu; Hulin Wu; Douglas D Richman
Journal:  Antimicrob Agents Chemother       Date:  2009-03-23       Impact factor: 5.191

  5 in total

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