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J. Virol., Jan 1997, 161-168, Vol 71, No. 1
NI Stilianakis, CA Boucher, MD De Jong, R Van Leeuwen, R Schuurman and RJ De Boer
Treatment of human immunodeficiency virus type 1 (HIV-1) infection during
the clinical latency phase with drugs inhibiting reverse transcriptase (RT)
reduces the HIV-1 RNA load and increases the CD4+ T- cell count. Typically,
however, the virus evolves mutations in the RT gene that circumvent the
drugs. We develop a mathematical model for this situation. The model
distinguishes quiescent from activated CD4+ T cells, incorporates the fact
that only activated cells can become productively infected by HIV-1,
embodies empirical estimates for the drug resistance and the mutation
frequency for each of the HIV-1 drug- resistant mutants, and assumes the
antiviral immune response to remain constant over the course of the
experiments. We analyze clinical data on the evolution of drug-resistant
mutants for the RT inhibitors lamivudine and zidovudine. The results show
that the evolutionary sequence of the drug-resistant mutants in both data
sets is accounted for by our model, given that lamivudine is more effective
than zidovudine. Thus, current empirical estimates of the mutation
frequencies and the drug resistances of the mutants suffice for explaining
the data. We derive a critical treatment level below which the wild-type
HIV-1 RNA load can rebound before the first drug- resistant mutant appears.
Our zidovudine data confirm this to be the case. Thus, we demonstrate in
the model and the data that the rebound of the HIV-1 RNA load in the case
of zidovudine is due to the outgrowth of wild-type virus and the first
drug-resistant mutant, whereas that in the case of lamivudine can only be
due to the drug-resistant mutants. The evolution of drug resistance
proceeds slower in the case of zidovudine because (i) zidovudine is not as
effective as lamivudine and (ii) the first zidovudine drug-resistant mutant
is competing with the rebounding wild-type virus.
Copyright © 1997, American Society for Microbiology
Clinical data sets of human immunodeficiency virus type 1 reverse transcriptase-resistant mutants explained by a mathematical model
Theoretical Division, Group T-10, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
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