Vaccines (May 2023)

No Difference in the Prevalence of HIV-1 <i>gag</i> Cytotoxic T-Lymphocyte-Associated Escape Mutations in Viral Sequences from Early and Late Parts of the HIV-1 Subtype C Pandemic in Botswana

  • Baitshepi Mokaleng,
  • Wonderful Tatenda Choga,
  • Ontlametse Thato Bareng,
  • Dorcas Maruapula,
  • Doreen Ditshwanelo,
  • Nametso Kelentse,
  • Patrick Mokgethi,
  • Natasha Onalenna Moraka,
  • Modisa Sekhamo Motswaledi,
  • Leabaneng Tawe,
  • Catherine Kegakilwe Koofhethile,
  • Sikhulile Moyo,
  • Matshediso Zachariah,
  • Simani Gaseitsiwe

DOI
https://doi.org/10.3390/vaccines11051000
Journal volume & issue
Vol. 11, no. 5
p. 1000

Abstract

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HIV is known to accumulate escape mutations in the gag gene in response to the immune response from cytotoxic T lymphocytes (CTLs). These mutations can occur within an individual as well as at a population level. The population of Botswana exhibits a high prevalence of HLA*B57 and HLA*B58, which are associated with effective immune control of HIV. In this retrospective cross-sectional investigation, HIV-1 gag gene sequences were analyzed from recently infected participants across two time periods which were 10 years apart: the early time point (ETP) and late time point (LTP). The prevalence of CTL escape mutations was relatively similar between the two time points—ETP (10.6%) and LTP (9.7%). The P17 protein had the most mutations (9.4%) out of the 36 mutations that were identified. Three mutations (A83T, K18R, Y79H) in P17 and T190A in P24 were unique to the ETP sequences at a prevalence of 2.4%, 4.9%, 7.3%, and 5%, respectively. Mutations unique to the LTP sequences were all in the P24 protein, including T190V (3%), E177D (6%), R264K (3%), G248D (1%), and M228L (11%). Mutation K331R was statistically higher in the ETP (10%) compared to the LTP (1%) sequences (p p gag sequences clustered dependently on the time points. We observed a slower adaptation of HIV-1C to CTL immune pressure at a population level in Botswana. These insights into the genetic diversity and sequence clustering of HIV-1C can aid in the design of future vaccine strategies.

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