No abstract

Tuberculosis (TB) is the major opportunistic infection of HIV-infected patients in developing countries and is associated with activation of the immune system and increased HIV-1 expression. The aim of this study was to explore the biological properties of HIV-1 isolates from patients with active TB. Ten HIV-1 subtype C isolates were analyzed for biological phenotypes, using MT-2 cells, and for coreceptor usage, using coreceptor-transfected cell lines. All isolates were nonsyncytium inducing (NSI) in the MT-2 assay and replicated in CCR5-expressing cells. None of the isolates used CXCR4 or any of the minor coreceptors (CCR1, CCR2b, or CCR3) efficiently. Analysis of the V3 region showed that all isolates contained the GPGQ motif characteristic of subtype C and also had a sequence profile typical of NSI viruses. These data indicate that despite their advanced disease state, patients with TB harbor viruses that use the CCR5 coreceptor. It is possible that activation of monocytes and macrophages during TB infection results in the expansion of macrophage-tropic isolates that preferentially use CCR5.

During 6 months of treatment, we measured human immunodeficiency virus (HIV)-1 virus loads, CD4 T cell counts, and immune activation markers, in 111 HIV-1-infected patients with active tuberculosis (TB). The median virus load (baseline, 5.58 log(10) copies/mL) significantly increased at 1 month (5.71 log(10) copies/mL), then returned to near-baseline levels at 3 months (5.40 log(10) copies/mL) and at 6 months (5.36 log(10) copies/mL). In contrast, the median CD4 counts increased at 1 month (186/mm(3)), at 3 months (238/mm(3)), and at 6 months (239/mm(3)). CD4 counts and virus loads did not change during therapy. Expression of CD38 and HLA-DR remained high throughout treatment, whereas plasma levels of interleukin-6 decreased over time.

BackgroundGlobal HIV-1 genetic diversity and evolution form a major challenge to treatment and prevention efforts. An increasing number of distinct HIV-1 recombinants have been identifiedworldwide, but their contribution to the global epidemic is unknown. We aimed to estimate the global and regional distribution of HIV-1 recombinant forms during 1990-2015. MethodsWe assembled a global HIV-1 molecular epidemiology database through a systematic literature review and a global survey. We searched PubMed, EMBASE (Ovid), CINAHL (Ebscohost), and Global Health (Ovid) for HIV-1 subtyping studies published from Jan 1, 1990, to Dec 31, 2015. Unpublished original HIV-1 subtyping data was collected through a survey among experts in the field who were members of the WHO-UNAIDS Network for HIV Isolation and Characterisation. We included prevalence studies with HIV-1 subtyping data collected during 1990-2015. Countries were grouped into 14 regions and analyses conducted for four time periods (1990-99, 2000-04, 2005-09 and 2010-15). The distribution of circulating recombinant forms (CRFs), and unique recombinant forms (URFs) in individual countries was weighted according to the UNAIDS estimates of the number of people living with HIV in each country to generate regional and global estimates of numbers and proportions of HIV-1 recombinants in each time period. The systematic review is registered with PROSPERO, number CRD42017067164.

Characterization of optimal CTL epitopes in Gag can provide crucial information for evaluation of candidate vaccines in populations at the epicenter of the HIV-1 epidemic. We screened 38 individuals with recent subtype C HIV-1 infection using overlapping consensus C Gag peptides and hypothesized that unique HLA-restricting alleles in the southern African population would determine novel epitope identity. Seventy-four percent of individuals recognized at least one Gag peptide pool. Ten epitopic regions were identified across p17, p24, and p2p7p1p6, and greater than two-thirds of targeted regions were directed at: TGTEELRSLYNTVATLY (p17, 35%); GPKEPFRDYVDRFFKTLRAEQATQDV (p24, 19%); and RGGKLDKWEKIRLRPGGKKHYMLKHL (p17, 15%). After alignment of these epitopic regions with consensus M and a consensus subtype C sequence from the cohort, it was evident that the regions targeted were highly conserved. Fine epitope mapping revealed that five of nine identified optimal Gag epitopes were novel: HLVWASREL, LVWASRELERF, LYNTVATLY, PFRDYVDRFF, and TLRAEQATQD, and were restricted by unique HLA-Cw*08, HLA-A*30/B*57, HLA-A*29/B*44, and HLA-Cw*03 alleles, respectively. Notably, three of the mapped epitopes were restricted by more than one HLA allele. Although these epitopes were novel and restricted by unique HLA, they overlapped or were embedded within previously described CTL epitopes from subtype B HIV-1 infection. These data emphasize the promiscuous nature of epitope binding and support our hypothesis that HLA diversity between populations can shape fine epitope identity, but may not represent a constraint for universal recognition of Gag in highly conserved domains.