Lemme Kebaabetswe

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BACKGROUND Most knowledge of primary HIV-1 infection is based on subtype B studies, whereas the evolution of viral parameters in the early phase of HIV-1 subtype C infection is not well characterized. METHODS The kinetics of viral RNA, proviral DNA, CD4+ T-cell count, and subsets of CD4+ T cells expressing CCR5 or CXCR4 were characterized in 8 acute and(More)
BACKGROUND Estimation of HIV incidence rates is important for timing interventions, planning prevention studies, and monitoring the epidemic. This requires accurate estimation of the "recency period" (also known as the "window period") between seroconversion and achievement of specific detectable levels of anti-HIV antibody titers, such as the standardized(More)
OBJECTIVES To determine the presence of group A rotavirus in human stool samples in northern Botswana and to characterise the circulating strains. DESIGN A cross sectional study. SETTING The University of Botswana and Botswana-Havard Partnership for HIV Research. SUBJECTS A total of 210 stool samples was collected; 104 from hospitalised and 106 from(More)
The evolution of proviral gp120 during the first year after seroconversion in HIV-1 subtype C infection was addressed in a case series of eight subjects. Multiple viral variants were found in two out of eight cases. Slow rate of viral RNA decline and high early viral RNA set point were associated with a higher level of proviral diversity from 0 to 200 days(More)
BACKGROUND Aiming to answer the broad question "When does mutation occur?" this study examined the time of appearance, dominance, and completeness of in vivo Gag mutations in primary HIV-1 subtype C infection. METHODS A primary HIV-1C infection cohort comprised of 8 acutely and 34 recently infected subjects were followed frequently up to 500 days(More)
Methods A total of 42 subjects (8 acutely and 34 recently HIVinfected individuals with estimated time of seroconversion) were included. Gag quasispecies were analyzed by single-genome amplification/sequencing. Ten amino acid positions across Gag with the most frequent mutations were chosen for analysis. Mutations were analyzed at frequent time points(More)
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