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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Genotypic drug resistance interpretation algorithms display high levels of discordance when applied to non-B strains from HIV-1 naive and treated patients
FEMS Immunology and Medical Microbiology, Volume 46, No. 1, Year 2006
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Description
Genotypic drug resistance interpretation algorithms have been developed on patients infected with HIV-1 subtype B to interpret complex patterns of mutations. As non-B strains are characterised by the natural presence of several resistance-related mutations, we examined to what extent this might result in interalgorithm discordances in naive and treated patients. We compared the prediction by three algorithms (ANRS, Stanford and Rega) of drug susceptibilities to diverse HIV-1 strains from 272 naive and 156 treated patients. In naive patients, higher levels of interalgorithm discordance were observed for predictions of protease inhibitor (0.60-39%) than for predictions of reverse transcriptase inhibitor susceptibility (0-4%). The main reason for discordant protease inhibitor interpretation was the presence of resistance mutations that were natural protease polymorphisms. In contrast, in the treated patients, more interalgorithm discordances were observed for predictions of reverse transcriptase inhibitor (5-48%) than protease inhibitor susceptibilities (10-31%). Discordances were related to disagreement between the intermediate and susceptible scores, the intermediate and resistant scores and the interpretations of complex mutation patterns, related to cross-resistance and antagonistic interactions. © 2005 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.
Authors & Co-Authors
Vergne, Laurence
France, Montpellier
Université de Montpellier
Snoeck, Joke
Belgium, Leuven
Ku Leuven
Aghokeng, Avelin Fobang
France, Montpellier
Université de Montpellier
Valéa, Diane C.
France, Montpellier
Université de Montpellier
Delaporte, Éric
France, Montpellier
Université de Montpellier
Vandamme, Anne Mieke
Belgium, Leuven
Ku Leuven
Peeters, Martine F.
France, Montpellier
Université de Montpellier
van Laethem, Kristel V.
Belgium, Leuven
Ku Leuven
Belgium, Leuven
Ku Leuven– University Hospital Leuven
Statistics
Citations: 41
Authors: 8
Affiliations: 3
Identifiers
Doi:
10.1111/j.1574-695X.2005.00011.x
ISSN:
1574695X
Research Areas
Cancer
Infectious Diseases