Literature DB >> 11231866

Antiretroviral resistance in clinical practice.

A M Geretti1, P Easterbrook.   

Abstract

Despite the success of potent combination therapy against HIV, a large proportion of patients experiences treatment failure. Due to the high degree of plasticity of the HIV genome, ongoing virus replication in the presence of drug pressure will result in the selection of virus mutants with reduced drug susceptibility. As a result, antiretroviral drug-resistance is a common denominator in treatment failure. Two methods, genotyping and phenotyping, are commercially available for measuring resistance in clinical samples. Whereas genotyping detects resistance-conferring mutations in the HIV reverse transcriptase and protease genes, the recombinant virus assay is a newly developed phenotyping technique which determines drug-susceptibility in a virus culture assay. With both methods, result interpretation remains challenging. Retrospective studies and randomized controlled clinical trials support the clinical utility of resistance testing in the setting of treatment failure. The optimal applications of resistance testing in a variety of other clinical settings remain to be defined.

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Year:  2001        PMID: 11231866     DOI: 10.1258/0956462011916938

Source DB:  PubMed          Journal:  Int J STD AIDS        ISSN: 0956-4624            Impact factor:   1.359


  4 in total

1.  Analysis of natural sequence variation and covariation in human immunodeficiency virus type 1 integrase.

Authors:  Richard E Myers; Deenan Pillay
Journal:  J Virol       Date:  2008-07-02       Impact factor: 5.103

Review 2.  Human Immunodeficiency Virus Resistance Testing Technologies and Their Applicability in Resource-Limited Settings of Africa.

Authors:  Idris Abdullahi Nasir; Anthony Uchenna Emeribe; Iduda Ojeamiren; Hafeez Aderinsayo Adekola
Journal:  Infect Dis (Auckl)       Date:  2017-12-19

Review 3.  HIV-1 diversity in the envelope glycoproteins: implications for viral entry inhibition.

Authors:  Leonardo Augusto Luvison Araújo; Sabrina E M Almeida
Journal:  Viruses       Date:  2013-02-06       Impact factor: 5.048

4.  A Computational Approach for the Prediction of HIV Resistance Based on Amino Acid and Nucleotide Descriptors.

Authors:  Olga Tarasova; Nadezhda Biziukova; Dmitry Filimonov; Vladimir Poroikov
Journal:  Molecules       Date:  2018-10-24       Impact factor: 4.411

  4 in total

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