Literature DB >> 11141239

Mutation takes no vacation: can structured treatment interruptions increase the risk of drug-resistant HIV-1?

K S Dorman1, A H Kaplan, K Lange, J S Sinsheimer.   

Abstract

We use a mathematical model to study the dynamics of HIV-1 replication during structured treatment interruptions (STIs) in infected patients. The model predicts rapid viral rebound, restoration of a latently infected cell pool, and critically, partially resistant mutant rebound that may be missed because of high levels of wild type virus. Because partially resistant viruses are capable of mutating to full resistance, a substantial increase in their numbers represents a threat to therapeutic response durability. Compared with continued treatment, STIs may increase the chance of mutation to full resistance by several thousandfold.

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Year:  2000        PMID: 11141239     DOI: 10.1097/00042560-200012150-00003

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  5 in total

Review 1.  Interruption of antiretroviral therapy to augment immune control of chronic HIV-1 infection: risk without reward.

Authors:  Ume L Abbas; John W Mellors
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-07       Impact factor: 11.205

2.  Extinction models for cancer stem cell therapy.

Authors:  Mary Sehl; Hua Zhou; Janet S Sinsheimer; Kenneth L Lange
Journal:  Math Biosci       Date:  2011-10-06       Impact factor: 2.144

3.  Costs versus benefits: best possible and best practical treatment regimens for HIV.

Authors:  O Krakovska; L M Wahl
Journal:  J Math Biol       Date:  2007-01-05       Impact factor: 2.259

Review 4.  Structured treatment interruption in patients infected with HIV: a new approach to therapy.

Authors:  Roy M Gulick
Journal:  Drugs       Date:  2002       Impact factor: 9.546

5.  Quantifying the treatment efficacy of reverse transcriptase inhibitors: new analyses of clinical data based on within-host modeling.

Authors:  Romulus Breban; Sonia Napravnik; James Kahn; Sally Blower
Journal:  BMC Public Health       Date:  2009-11-18       Impact factor: 3.295

  5 in total

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