Abstract
Objective: To investigate the optimal time point for the initiationof therapy in HIV infection from the perspective of drug resistance.Background: The enormous genetic diversity of HIV within an infectedindividual represents one of the greatest challenges for effectivetherapy, because the viral population may harbour drug-resistantmutants that rapidly outgrow the wild-type virus once the patientstarts treatment. To determine the optimal timing of therapy it iscrucial to know how long it takes for the viral population to buildup sufficient diversity to enable the virus to escape from therapy.Method: A stochastic model of the viral diversification during primaryinfection was used to study the behaviour of small population sizesof mutant virus. Results and conclusions: The simulations suggestthat from the perspective of viral diversity, therapy should be startedat the viral set-point. Starting treatment earlier involves a riskof the selective outgrowth of drug-resistant mutants, which are transientlypresent at the viral peak during primary infection. (C) 1999 LippincottWilliams & Wilkins
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Liu, X., Zhang, S.-P., Han, L., & Li, Y. (2012). Influence of Several Fermentation on Seaweed Waste of Feed. Journal of Sustainable Bioenergy Systems, 02(04), 108–111. https://doi.org/10.4236/jsbs.2012.24016
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