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An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
Published on: March 30, 2014
A comparative analysis of HIV drug resistance interpretation based on short reverse transcriptase sequences versus
Kim Steegen1, Michelle Bronze, Elke Van Craenenbroeck
1Department of Infectious Disease and Biomarkers, Tibotec-Virco Virology BVBA, Beerse, Belgium. ksteegen@its.jnj.com
AIDS Research and Therapy
|October 19, 2010
Summary
Simplified HIV drug resistance testing using short reverse transcriptase sequences is reliable for resource-limited settings. This cost-effective approach aids in monitoring antiretroviral treatment effectiveness.
Area of Science:
- Virology
- Molecular Biology
- Public Health
Background:
- Second-line antiretroviral treatment (ART) accessibility in resource-limited settings (RLS) necessitates affordable monitoring tools.
- Current genotypic HIV drug resistance (HIVDR) tests are expensive, hindering widespread use in RLS.
- Focusing on a shorter HIV reverse transcriptase (RT) gene region may reduce costs while retaining essential mutation data.
Purpose of the Study:
- To evaluate the reliability of shortened RT sequences (codon 41-238) for HIVDR interpretation.
- To assess the concordance of HIVDR calls using shortened RT sequences with standard full-length sequences.
- To determine the impact of using shortened RT sequences on interpretation by virco®TYPE and Stanford genotype tools.
Main Methods:
- In silico analysis of 125,329 HIV RT sequences.
- Pair-wise comparison of full-length and short (codon 41-238) RT sequences.
- Non-inferiority analysis with a 95% concordance limit to assess agreement between interpretation methods.
Main Results:
- HIVDR interpretations using short RT sequences showed high concordance (>95%) with full-length sequences for Stanford algorithms.
- Similar concordance (>95%) was observed for virco®TYPE, with minor discrepancies for specific drugs (d4T, AZT, TDF).
- Differences in virco®TYPE interpretations were mainly due to mutations outside the analyzed RT region, affecting drug susceptibility predictions.
Conclusions:
- Shortened RT sequences (codon 41-238) provide reliable genotype interpretations for virco®TYPE and Stanford algorithms.
- Implementing this simplified protocol can significantly reduce the cost of HIV resistance testing.
- This approach offers a cost-effective solution for ARV treatment monitoring in RLS.
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