Literature DB >> 15989655

Viral resistance patterns selected by antiretroviral drugs and their potential to guide treatment choice.

G J Moyle1.   

Abstract

Massive viral turnover and reverse transcriptase's high error rate create the potential for drug-resistant viral variants to appear rapidly under the selective pressure of antiretroviral therapy. Loss of antiviral effect in treatment-adherent persons is most commonly coincident with the appearance of viral mutants with reduced drug sensitivity. Thus, detection of viral resistance may represent an early marker of therapy failure. Similarly, control of viral replication in the plasma compartment, as defined by plasma viral load below the levels of assay quantification, is associated with a sustained therapeutic response and delayed development of viral resistance. Information on patterns of resistance to and cross-resistance between antiretroviral agents is increasingly well characterised and represents an important consideration when deciding how to combine and/or sequence antiretrovirals to achieve optimal antiviral effects. Given the limited number of antiretrovirals presently available or in advanced development, it is important not to limit future therapeutic options by using therapies early in the treatment sequence which may select for cross-resistant viral variants and hence potentially reduce the magnitude of therapeutic response when treatment is changed to another member of that drug class. However, no studies using resistance to guide clinical decision making have been reported to date and available sequencing studies have focused largely on switching or adding therapies to patients experienced with zidovudine monotherapy. Thus, no resistance driven treatment algorithm is currently available.

Entities:  

Year:  1997        PMID: 15989655     DOI: 10.1517/13543784.6.8.943

Source DB:  PubMed          Journal:  Expert Opin Investig Drugs        ISSN: 1354-3784            Impact factor:   6.206


  4 in total

1.  Amprenavir : A Viewpoint by Graeme Moyle.

Authors:  G Moyle
Journal:  Drugs       Date:  1998-06       Impact factor: 9.546

Review 2.  A risk-benefit assessment of HIV protease inhibitors.

Authors:  G J Moyle; B G Gazzard
Journal:  Drug Saf       Date:  1999-04       Impact factor: 5.606

Review 3.  The emerging roles of non-nucleoside reverse transcriptase inhibitors in antiretroviral therapy.

Authors:  G Moyle
Journal:  Drugs       Date:  2001       Impact factor: 9.546

4.  New approaches to HIV protease inhibitor drug design II: testing the substrate envelope hypothesis to avoid drug resistance and discover robust inhibitors.

Authors:  Madhavi N L Nalam; Celia A Schiffer
Journal:  Curr Opin HIV AIDS       Date:  2008-11       Impact factor: 4.283

  4 in total

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