Title: Resistance Pathways of Human Immunodeficiency Virus Type 1 against the Combination of Zidovudine and Lamivudine
Authors: Theys, Kristof ×
Deforche, Koen
Libin, Pieter
Camacho, Ricardo Jorge
Van Laethem, Kristel
Vandamme, Anne-Mieke #
Issue Date: Aug-2010
Publisher: Society for General Microbiology
Series Title: The Journal of general virology vol:91 issue:Pt 8 pages:1898-1908
Abstract: A better understanding of Human Immunodeficiency Virus Type 1 drug resistance evolution under the selective pressure of combination treatment is important for the design of long-term effective treatment strategies. We applied Bayesian Network Learning on sequences from patients treated with the reverse transcriptase inhibitor combination of zidovudine and lamivudine to identify the role of many treatment-selected mutations in the development of resistance. Based on the Bayesian Network structure, an in vivo fitness landscape was build, reflecting the necessary selective pressure under treatment, to evolve naive sequences to sequences obtained from patients treated with the combination. This landscape, combined with an evolutionary model, was used to predict resistance evolution in longitudinal sequence pairs. In our analysis, mutations 41L, 70R, 184V and 215F/Y were identified as major resistance mutations to the combination of zidovudine and lamivudine, since they were directly associated with treatment experience. The network also suggested a possible role in resistance development for a number of novel mutations. Fitness, estimated using the landscape, correlated significantly with in vitro resistance phenotype in genotype-phenotype pairs (R2=0.70). Variation in predicted evolution under selective pressure correlated significantly with observed in vivo evolution during zidovudine plus lamivudine treatment. In conclusion, we confirmed current knowledge on resistance development to the combination of zidovudine and lamivudine, but additional, novel mutations were identified. Moreover, a model to predict resistance evolution during zidovudine and lamivudine treatment has been built and validated.
ISSN: 0022-1317
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Laboratory of Clinical and Epidemiological Virology (Rega Institute)
Department of Microbiology & Immunology - miscellaneous
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science