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Updated: Aug 8, 2026

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An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
Published on: March 30, 2014
Interpreting resistance data for HIV-1 therapy management--know the limitations
Kristel Van Laethem1, Anne-Mieke Vandamme
1Clinical and Epidemiological Virology, Rega Institute for Medical Research, Katholieke Universiteit Leuven, Leuven, Belgium.
AIDS Reviews
|June 2, 2006
Summary
Antiviral resistance testing aids HIV-1 therapy but interpreting results remains challenging. Genotypic and phenotypic assays offer complementary data, yet clinical application requires further refinement for optimal treatment outcomes.
Area of Science:
- Virology
- Infectious Diseases
- Pharmacology
Background:
- Antiviral drug resistance is a key factor in HIV-1 therapy failure.
- Antiviral resistance testing has demonstrated benefits for subsequent treatment regimens.
- Genotypic and phenotypic assays have improved but still have limitations in fully characterizing resistance.
Purpose of the Study:
- To evaluate the role and interpretation of antiviral resistance testing in HIV-1 therapy.
- To explore the complementary information provided by genotypic and phenotypic assays.
- To address the challenge of translating in vitro resistance data into clinical practice.
Main Methods:
- Review of studies on genotypic and phenotypic antiviral resistance assays for HIV-1.
- Analysis of bioinformatics approaches for interpreting phenotypic resistance data (fold-resistance values, clinical response data).
- Examination of genotypic drug-resistance interpretation systems and their continuous updates.
Main Results:
- Both genotypic and phenotypic assays provide valuable, often complementary, information on HIV-1 drug resistance.
- Significant challenges persist in accurately interpreting in vitro resistance results for clinical implementation.
- Ongoing bioinformatics analyses and interpretation systems aim to establish clinical cut-offs and predict therapy outcomes.
Conclusions:
- Interpreting genotypic and phenotypic resistance data for clinical use remains a critical challenge in HIV-1 management.
- While assays have advanced, their full potential in guiding therapy is limited by interpretation complexities.
- Future prospective trials comparing different interpretation systems are needed but face design difficulties due to rapid scientific evolution.
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