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An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
Authors:Justen Manasa  Siva Danaviah  Sureshnee Pillay  Prevashinee Padayachee  Hloniphile Mthiyane  Charity Mkhize  Richard John Lessells  Christopher Seebregts  Tobias F. Rinke de Wit  Johannes Viljoen  David Katzenstein  Tulio De Oliveira
Affiliation:1.Africa Centre for Health and Population Studies, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa;2.Unit D11, Jembi Health Systems;3.Academic Medical Center, Department of Global Health, Amsterdam Institute for Global Health and Development (AIGHD), University of Amsterdam;4.Division of Infectious Diseases and Geographic Medicine, Centre for AIDS Research, Stanford Medical School
Abstract:HIV-1 drug resistance has the potential to seriously compromise the effectiveness and impact of antiretroviral therapy (ART). As ART programs in sub-Saharan Africa continue to expand, individuals on ART should be closely monitored for the emergence of drug resistance. Surveillance of transmitted drug resistance to track transmission of viral strains already resistant to ART is also critical. Unfortunately, drug resistance testing is still not readily accessible in resource limited settings, because genotyping is expensive and requires sophisticated laboratory and data management infrastructure. An open access genotypic drug resistance monitoring method to manage individuals and assess transmitted drug resistance is described. The method uses free open source software for the interpretation of drug resistance patterns and the generation of individual patient reports. The genotyping protocol has an amplification rate of greater than 95% for plasma samples with a viral load >1,000 HIV-1 RNA copies/ml. The sensitivity decreases significantly for viral loads <1,000 HIV-1 RNA copies/ml. The method described here was validated against a method of HIV-1 drug resistance testing approved by the United States Food and Drug Administration (FDA), the Viroseq genotyping method. Limitations of the method described here include the fact that it is not automated and that it also failed to amplify the circulating recombinant form CRF02_AG from a validation panel of samples, although it amplified subtypes A and B from the same panel.
Keywords:Medicine   Issue 85   Biomedical Technology   HIV-1   HIV Infections   Viremia   Nucleic Acids   genetics   antiretroviral therapy   drug resistance   genotyping   affordable
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