Authors: Curlin, Marcel E; Wilkin, Timothy; Mittler, John

Source: Future HIV Therapy, Volume 2, Number 2, March 2008 , pp. 175-185(11)

Publisher: Future Medicine

Abstract:

Recent clinical trials have renewed interest in treating HIV-1 infection through the use of inductionmaintenance regimens, a strategy commonly used for the treatment of TB and certain hematopoeitic malignancies. In these conditions, the common element underlying success has been the ability of induction regimens to reduce therapy-resistant pathogens to levels that can be controlled using a maintenance regimen. The success of recent clinical trials of inductionmaintenance therapy for HIV-1 suggests that this concept could have a variety of applications, such as reducing toxicities, reducing treatment costs and improving the treatment of salvage patients. However, current inductionmaintenance protocols have not fully capitalized on available quantitative data concerning pharmacokinetics and pharmacodynamics, viral replication dynamics, viral latency and the evolution of drug resistance. In this review, we reason that it should be possible to improve success rates of inductionmaintenance and other innovative, therapeutic strategies using mathematical models that account for this information.

Keywords: AIDS; antiretroviral drugs; drug resistance; drug therapy; HIV-1; inductionmaintenance; mathematical model

Document Type: Research article

DOI: http://dx.doi.org/10.2217/17469600.2.2.175

Publication date: 2008-03-01

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• Future HIV Therapy keeps clinicians and researchers up to date with the significant advances that will enable us to develop new treatments to target the virus and any resistant strains that might develop, and also to improve side effects, adherence and education in therapy, and simplify drug regimens and reduce costs.
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