Literature DB >> 12387674

HIV-1 drug resistance: can we overcome?

Bluma G Brenner1, Dan Turner, Mark A Wainberg.   

Abstract

Highly active antiretroviral therapy (HAART) targeting the viral reverse transcriptase and protease enzymes has advanced the treatment of HIV/AIDS. Nucleoside and non-nucleoside reverse transcriptase inhibitors and protease inhibitors used in combination can suppress viral replication thereby delaying disease progression. Emergence of HIV-1 mutated strains, resistant to one or more antiretroviral inhibitors or drug classes, remains one of the leading causes of treatment failure among patients living with HIV/AIDS. While advances in genotypic and phenotypic testing allow for drug resistance guided therapeutic management, the increasing prevalence of multi-drug resistance and an absence of new drug classes forewarn new problems in sustaining the effectiveness of HAART. One promising hope for continued benefit of antiretroviral therapy despite emergent resistance is the observed reduction in replicative ability or 'fitness' of multimutated viruses. This review discusses the development and influence of known drug mutations on drug susceptibility versus viral fitness.

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Year:  2002        PMID: 12387674     DOI: 10.1517/14712598.2.7.751

Source DB:  PubMed          Journal:  Expert Opin Biol Ther        ISSN: 1471-2598            Impact factor:   4.388


  14 in total

Review 1.  Multiple effects of the M184V resistance mutation in the reverse transcriptase of human immunodeficiency virus type 1.

Authors:  Dan Turner; Bluma Brenner; Mark A Wainberg
Journal:  Clin Diagn Lab Immunol       Date:  2003-11

2.  Fluorescent dye terminator sequencing methods for quantitative determination of replication fitness of human immunodeficiency virus type 1 containing the codon 74 and 184 mutations in reverse transcriptase.

Authors:  Viktoria Nurpeisov; Selwyn J Hurwitz; Prem L Sharma
Journal:  J Clin Microbiol       Date:  2003-07       Impact factor: 5.948

3.  Natural polymorphisms in the human immunodeficiency virus type 2 protease can accelerate time to development of resistance to protease inhibitors.

Authors:  Michel Ntemgwa; Bluma G Brenner; Maureen Oliveira; Daniela Moisi; Mark A Wainberg
Journal:  Antimicrob Agents Chemother       Date:  2006-11-20       Impact factor: 5.191

4.  Novel P2 tris-tetrahydrofuran group in antiviral compound 1 (GRL-0519) fills the S2 binding pocket of selected mutants of HIV-1 protease.

Authors:  Hongmei Zhang; Yuan-Fang Wang; Chen-Hsiang Shen; Johnson Agniswamy; Kalapala Venkateswara Rao; Chun-Xiao Xu; Arun K Ghosh; Robert W Harrison; Irene T Weber
Journal:  J Med Chem       Date:  2013-01-23       Impact factor: 7.446

Review 5.  Phylogenetic inferences on HIV-1 transmission: implications for the design of prevention and treatment interventions.

Authors:  Bluma Brenner; Mark A Wainberg; Michel Roger
Journal:  AIDS       Date:  2013-04-24       Impact factor: 4.177

6.  Impact of Suboptimal APOBEC3G Neutralization on the Emergence of HIV Drug Resistance in Humanized Mice.

Authors:  Matthew M Hernandez; Audrey Fahrny; Ravi Sachidanandam; Roberto F Speck; Viviana Simon; Anitha Jayaprakash; Gustavo Gers-Huber; Marsha Dillon-White; Annette Audigé; Lubbertus C F Mulder
Journal:  J Virol       Date:  2020-02-14       Impact factor: 5.103

Review 7.  AIDS at 40th: The progress of HIV treatment in Japan.

Authors:  Shinichi Oka
Journal:  Glob Health Med       Date:  2022-02-28

8.  Prevalence of transmitted drug resistance and impact of transmitted resistance on treatment success in the German HIV-1 Seroconverter Cohort.

Authors:  Barbara Bartmeyer; Claudia Kuecherer; Claudia Houareau; Johanna Werning; Kathrin Keeren; Sybille Somogyi; Christian Kollan; Heiko Jessen; Stephan Dupke; Osamah Hamouda
Journal:  PLoS One       Date:  2010-10-07       Impact factor: 3.240

9.  Transmission networks of drug resistance acquired in primary/early stage HIV infection.

Authors:  Bluma G Brenner; Michel Roger; Daniela D Moisi; Maureen Oliveira; Isabelle Hardy; Reuven Turgel; Hugues Charest; Jean-Pierre Routy; Mark A Wainberg
Journal:  AIDS       Date:  2008-11-30       Impact factor: 4.177

10.  The epidemiological impact of antiretroviral use predicted by mathematical models: a review.

Authors:  Rebecca F Baggaley; Neil M Ferguson; Geoff P Garnett
Journal:  Emerg Themes Epidemiol       Date:  2005-09-10
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