Background: Approximately 30,000 non-citizens are living with HIV in Botswana, all of whom as of 2020 are eligible to receive free antiretroviral treatment (ART) within the country. We assessed the prevalence of HIV-1 mutational profiles [pre-treatment drug resistance (PDR) and acquired drug resistance (ADR)] among treatment-experienced (TE) and treatment-naïve (TN) non-citizens living with HIV in Botswana.
Methods: A total of 152 non-citizens living with HIV were enrolled from a migrant HIV clinic at Independence Surgery, a private practice in Botswana from 2019-2021.
We used HIV-1C sequences to predict (in silico) resistance to 33 known broadly neutralizing antibodies (bnAbs) and evaluate the different HIV-1 Env characteristics that may affect virus neutralization. We analyzed proviral sequences from adults with documented HIV-1 seroconversion (N = 140) in Botswana (2013-2018). HIV-1 env sequences were used to predict bnAb resistance using bNAb-ReP, to determine the number of potential N-linked glycosylation sites (PNGS) and evaluate Env variable region characteristics (VC).
View Article and Find Full Text PDFBackground: Approximately 15-20 million people worldwide are infected with hepatitis delta virus (HDV), which is approximately 5 % of people with chronic hepatitis B virus (HBV). Sub-Saharan Africa has high HDV prevalence, leading to worse clinical outcomes among people who are HIV/HBV/HDV tri-infected. There are limited data on HDV prevalence among people with HIV (PWH) who are HBV-infected and uninfected in Botswana.
View Article and Find Full Text PDFWe used HIV-1C sequences to predict (in silico) resistance to 33 known broadly neutralizing antibodies (bNAbs) and evaluate the different HIV-1 env characteristics that may affect virus neutralization. We analyzed proviral sequences from adults with documented HIV-1 seroconversion (N=140) in Botswana (2013-2018). HIV-1 env sequences were used to predict bnAb resistance using bNAb-ReP, to determine the number of potential N-linked glycosylation sites (PNGS) and evaluate env variable region characteristics (VC).
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