Abstract

BackgroundOur understanding of HIV-1 and antiretroviral treatment (ART) is strongly biased towards subtype B, the predominant subtype in North America and western Europe. Efforts to characterize the response to first-line treatments in other HIV-1 subtypes have been hindered by the availability of large study cohorts in resource-limited settings. To maximize our statistical power, we combined HIV-1 sequence and clinical data from every available study population associated with the Joint Clinical Research Centre (JCRC) in Uganda. These records were combined with contemporaneous ART-naive records from Uganda in the Stanford HIVdb database.MethodsTreatment failures were defined by the presence of HIV genotype records with sample collection dates after the ART start dates in the JCRC database. Drug resistances were predicted by the Stanford HIVdb algorithm, and HIV subtype classification and recombination detection was performed with SCUEAL. We used Bayesian network analysis to evaluate associations between drug exposures and subtypes, and binomial regression for associations with recombination.ResultsThis is the largest database of first-line treatment failures (n=1724) in Uganda to date, with a predicted statistical power of 80% to detect subtype associations at an odds ratio of ge 1.2. In the subset where drug regimen data were available, we observed that use of 3TC was associated with a higher rate of first line treatment failure, whereas regimens containing AZT and TDF were associated with reduced rates of failure. In the complete database, we found limited evidence of associations between HIV-1 subtypes and treatment failure, with the exception of a significantly lower frequency of failures among A/D recombinants that comprised about 7% of the population. First-line treatment failure was significantly associated with reduced numbers of recombination breakpoints across subtypes.ConclusionsExpanding access to first-line ART should confer the anticipated public health benefits in Uganda, despite known differences in the pathogenesis of HIV-1 subtypes. Furthermore, the impact of ART may actually be enhanced by frequent inter-subtype recombination in this region.

Highlights

  • Our understanding of HIV-1 and antiretroviral treatment (ART) is strongly biased towards subtype B, the predominant subtype in North America and western Europe

  • Samples from the Joint Clinical Research Centre (JCRC), the main HIV care provider in Uganda, included patient samples from the JCRC clinics (2005–2016, DR) and the Monitoring Antiretroviral Resistance in Children (2010– 2011, MARCH) observational cohort study [26] with informed consent provided by parent(s)/guardian(s); the sample collection protocol was approved by the ethical committees at the JCRC and the Academic Medical Center (AMC)

  • Subtype distribution We identified 968 baseline and 1724 first-line treatment failures from the Ugandan study populations, and an additional 1462 drug-naïve samples from Uganda in the Stanford HIVdb database for a total of 4154 samples (Table 1)

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Summary

Introduction

Our understanding of HIV-1 and antiretroviral treatment (ART) is strongly biased towards subtype B, the predominant subtype in North America and western Europe. To maximize our statistical power, we combined HIV-1 sequence and clinical data from every available study population associated with the Joint Clinical Research Centre (JCRC) in Uganda. These records were combined with contemporaneous ART-naive records from Uganda in the Stanford HIVdb database. Subtype A HIV-1 infections are more prevalent in the east and north regions of Uganda, while subtype D dominates in the west and south of this small country [13]

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