Literature DB >> 10546858

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

E Race1, E Dam, V Obry, S Paulous, F Clavel.   

Abstract

OBJECTIVE: To assess the patterns of HIV phenotypic cross-resistance to protease inhibitors (PI) in patients experiencing viral load rebound on combination therapy including a PI.
METHODS: Phenotypic analysis of sensitivity to indinavir, nelfinavir, saquinavir, ritonavir and amprenavir was carried out using a single-cycle recombinant virus assay. Viral protease was sequenced by automated dideoxynucleotide chain termination.
RESULTS: Of the 108 patients studied, 68 had received indinavir, 50 ritonavir, 25 saquinavir and eight nelfinavir. The majority (71%) had received only one PI. The incidence of cross-resistance between indinavir, nelfinavir, ritonavir and saquinavir was high (60-90%). Cross-resistance to amprenavir was less frequent (37-40%). However there was some correlation between levels of sensitivity to amprenavir and indinavir (r2 = 0.34; P < 0.01). Conversely, the correlation between levels of sensitivity to indinavir and saquinavir was poor (r2 = 0.25), particularly for patients who had not received saquinavir. The degree of cross-resistance correlated with the level of resistance and with the total number of mutations in the protease gene (P < 0.05, chi square test) but could not be significantly correlated to any one particular mutation or combination of mutations. Mutation 184V was significantly associated with cross-resistance to amprenavir, with no mutations at codon 50 observed, while mutations associated with cross-resistance to saquinavir differed according to the treatment received.
CONCLUSIONS: These results suggest that, although the total number of protease mutations correlates with the degree of cross-resistance, the specific mechanisms accounting for primary resistance and for cross-resistance may be different.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10546858     DOI: 10.1097/00002030-199910220-00008

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


  33 in total

1.  Genotypic and phenotypic resistance patterns of human immunodeficiency virus type 1 variants with insertions or deletions in the reverse transcriptase (RT): multicenter study of patients treated with RT inhibitors.

Authors:  B Masquelier; E Race; C Tamalet; D Descamps; J Izopet; C Buffet-Janvresse; A Ruffault; A S Mohammed; J Cottalorda; A Schmuck; V Calvez; E Dam; H Fleury; F Brun-Vézinet
Journal:  Antimicrob Agents Chemother       Date:  2001-06       Impact factor: 5.191

2.  HIV-infected individuals with co-occurring bipolar disorder evidence poor antiretroviral and psychiatric medication adherence.

Authors:  David J Moore; Carolina Posada; Mili Parikh; Miguel Arce; Florin Vaida; Patricia K Riggs; Ben Gouaux; Ronald J Ellis; Scott L Letendre; Igor Grant; J Hampton Atkinson
Journal:  AIDS Behav       Date:  2012-11

3.  Quantification of the effects on viral DNA synthesis of reverse transcriptase mutations conferring human immunodeficiency virus type 1 resistance to nucleoside analogues.

Authors:  Francine Bouchonnet; Elisabeth Dam; Fabrizio Mammano; Vaea de Soultrait; Gaëlle Henneré; Henri Benech; François Clavel; Allan J Hance
Journal:  J Virol       Date:  2005-01       Impact factor: 5.103

4.  Prediction of abacavir resistance from genotypic data: impact of zidovudine and lamivudine resistance in vitro and in vivo.

Authors:  Hauke Walter; Barbara Schmidt; Marianne Werwein; Eva Schwingel; Klaus Korn
Journal:  Antimicrob Agents Chemother       Date:  2002-01       Impact factor: 5.191

5.  Selective-advantage profile of human immunodeficiency virus type 1 integrase mutants explains in vivo evolution of raltegravir resistance genotypes.

Authors:  Romina Quercia; Elisabeth Dam; Danielle Perez-Bercoff; François Clavel
Journal:  J Virol       Date:  2009-07-15       Impact factor: 5.103

6.  Dose-response curve slope is a missing dimension in the analysis of HIV-1 drug resistance.

Authors:  Maame Efua S Sampah; Lin Shen; Benjamin L Jilek; Robert F Siliciano
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-18       Impact factor: 11.205

7.  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

Review 8.  Amprenavir or fosamprenavir plus ritonavir in HIV infection: pharmacology, efficacy and tolerability profile.

Authors:  Cédric Arvieux; Olivier Tribut
Journal:  Drugs       Date:  2005       Impact factor: 9.546

9.  Pharmacokinetic interaction between amprenavir and delavirdine after multiple-dose administration in healthy volunteers.

Authors:  Ulrik S Justesen; Niels A Klitgaard; Kim Brosen; Court Pedersen
Journal:  Br J Clin Pharmacol       Date:  2003-01       Impact factor: 4.335

10.  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.

Authors:  Aurélie Barrail-Tran; Laurence Morand-Joubert; Gwendoline Poizat; Gilles Raguin; Clotilde Le Tiec; François Clavel; Elisabeth Dam; Geneviève Chêne; Pierre-Marie Girard; Anne-Marie Taburet
Journal:  Antimicrob Agents Chemother       Date:  2008-02-19       Impact factor: 5.191

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.