Human Leukocyte Antigen-Associated HIV-1 CRF02_AG gag and vif Polymorphisms in Ghana

Super high-resolution single-molecule sequence-based typing of HLA class I alleles in HIV-1 infected individuals in Ghana

Polymorphisms in human leukocyte antigen (HLA) class I loci are known to have a great impact on disease progression in HIV-1 infection. Prevailing HIV-1 subtypes and HLA genotype distribution are different all over the world, and the HIV-1 and host HLA interaction could be specific to individual areas. Data on the HIV-1 and HLA interaction have been accumulated in HIV-1 subtype B- and C-predominant populations but not fully obtained in West Africa where HIV-1 subtype CRF02_AG is predominant. In the present study, to obtain accurate HLA typing data for analysis of HLA association with disease progression in HIV-1 infection in West African populations, HLA class I (HLA-A, -B, and -C) four-digit allele typing was performed in treatment-naïve HIV-1 infected individuals in Ghana (n = 324) by a super high-resolution single-molecule sequence-based typing (SS-SBT) using next-generation sequencing. Comparison of the SS-SBT-based data with those obtained by a conventional sequencing-based typing (SBT) revealed incorrect assignment of several alleles by SBT. Indeed, HLA-A*23:17, HLA-B*07:06, HLA-C*07:18, and HLA-C*18:02 whose allele frequencies were 2.5%, 0.9%, 4.3%, and 3.7%, respectively, were not determined by SBT. Several HLA alleles were associated with clinical markers, viral load and CD4+ T-cell count. Of note, the impact of HLA-B*57:03 and HLA-B*58:01, known as protective alleles against HIV-1 subtype B and C infection, on clinical markers was not observed in our cohort. This study for the first time presents SS-SBT-based four-digit typing data on HLA-A, -B, and -C alleles in Ghana, describing impact of HLA on viral load and CD4 count in HIV-1 infection. Accumulation of these data would facilitate high-resolution HLA genotyping, contributing to our understanding of the HIV-1 and host HLA interaction in Ghana, West Africa.

Assessment of the proportion of recent HIV-1 infections in newly-diagnosed cases in Ghana

Accurate monitoring of epidemics is a key strategy for the control of human immunodeficiency virus type-1 (HIV-1) infection. To delineate the characteristic of newly-diagnosed cases of HIV-1 infection, we assessed the proportion of recent HIV-1 infections using a recent infection testing algorithm (RITA). In 2015, 248 cases were newly diagnosed with HIV infection in Reginal Hospital Koforidua, Ghana. Of these, 234 cases (94.4%) were infected with HIV-1 only, four (1.6%) were infected with HIV-2 only, and 10 (4.0%) were co-infected with HIV-1 and HIV-2. All the HIV-1 single seropositive samples were applied to HIV-1 LAg avidity assay for RITA. Our analysis revealed that 18 cases (7.7%) were determined as recent infections, indicating that early diagnosis has not been achieved in Ghana. This is the first report assessing the proportion of recent infections in Ghana using a biomarker approach. Accumulation of these data would contribute to accurate estimation of HIV-1 incidence and prevalence in Ghana.